{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a VRA modification of state's Home Districts to accommodate VRA districts\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS VANILLA HD + a forced VRA district  #from VRA-WI 7/11/24\n",
    "print(\"This is a VRA modification of state's Home Districts to accommodate VRA districts\")\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:  #stop looping if no new neighbors found on previous loop\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def avoidedEnclave(UNITLIST, UNITNBRS, ADDLIST,MAXLOOPS=15):  #20 is arbitrary, but does suppress slender chains\n",
    "    \"\"\"\n",
    "    This method (new for WI 5-23-24) is designed as a shorter check than enclaveCheck for legitimacy of adding ADDLIST to UNITLIST\n",
    "    It tries to find contiguity among all ADDLIST's neighbors that won't be in the UNITLIST after the add.\n",
    "    It does this in successive loops, growing from one non-UNITLIST neighbor in loops to all its non-UL neighbors\n",
    "    If success before MAXLOOPS, it returns True (i.e. this list addition avoided forming an enclave), else it returns False\n",
    "        Note that this method will not usually allow a UNITLIST that doesn't currently touch map border to start touching it\n",
    "        (too many loops to go all the way around the UNITLIST to find the complement's connection)\n",
    "    \"\"\"   \n",
    "    willBeInUnitSet = set(UNITLIST+ADDLIST)\n",
    "    nbrsOfADDLIST = set()\n",
    "    for U in ADDLIST:\n",
    "        nbrsOfADDLIST = nbrsOfADDLIST.union(set(UNITNBRS[U]))  #these are the neighbors of the units we plan to add to UNITLIST\n",
    "    nbrsOfADDLIST = nbrsOfADDLIST.difference(willBeInUnitSet)\n",
    "    if len(nbrsOfADDLIST) == 0:\n",
    "        raise Exception(\"ERROR! Attempted to add list\",ADDLIST,\"but it should have been flagged previously as an enclave\")\n",
    "    firstNo = next(iter(nbrsOfADDLIST))  #pick one of these non-UL neighbors as a starter\n",
    "    firstGroup = getContigFromStarter(firstNo, nbrsOfADDLIST, UNITNBRS) #first find all neighbors that directly connect\n",
    "    foundNbrSet, foundTotalSet, newFoundSet = set(firstGroup),set(firstGroup),set(firstGroup)\n",
    "    LOOPNO = 0\n",
    "    stillConnect = False\n",
    "    if len(foundNbrSet) == len(nbrsOfADDLIST):  #ALL non-UNITLIST neighbors still DIRECTLY connect after the add\n",
    "        stillConnect = True\n",
    "    while len(newFoundSet) > 0 and LOOPNO <= MAXLOOPS and not stillConnect:\n",
    "        LOOPNO +=1\n",
    "        lastFoundSet = newFoundSet\n",
    "        newFoundSet = set()\n",
    "        for U in lastFoundSet:\n",
    "            newFoundSet = newFoundSet.union(set(UNITNBRS[U]))\n",
    "        newFoundSet = newFoundSet.difference(willBeInUnitSet)\n",
    "        \n",
    "        foundTotalSet = foundTotalSet.union(newFoundSet)\n",
    "        foundNbrSet = foundTotalSet.intersection(nbrsOfADDLIST)  #running list of complement-connectable non-UL neighbors of ADDLIST\n",
    "        if len(foundNbrSet) == len(nbrsOfADDLIST):  #ALL non-UNITLIST neighbors still connect after the add\n",
    "            stillConnect = True\n",
    "    return stillConnect\n",
    "              \n",
    "\n",
    "def avoidedIsland(UNITLIST, UNITNBRS, SHEDLIST,MAXLOOPS=15):\n",
    "    \"\"\"\n",
    "    analogous to avoidedEnclave but for shedding a list from UNITLIST; we look to connect in-UNITLIST neighbors after the proposed shed\n",
    "    \"\"\"\n",
    "    shrunkSet = set(UNITLIST).difference(set(SHEDLIST))  #shorthand for the proposed unitlist after shedding\n",
    "    nbrsOfSHEDLIST = set()\n",
    "    for U in SHEDLIST:\n",
    "        nbrsOfSHEDLIST = nbrsOfSHEDLIST.union(set(UNITNBRS[U]))\n",
    "    nbrsOfSHEDLIST = nbrsOfSHEDLIST.intersection(shrunkSet)\n",
    "    if len(nbrsOfSHEDLIST) == 0:\n",
    "        raise Exception(\"ERROR! Attempted to shed list\",SHEDLIST,\"but it was never connected to the rest of the unit list\")\n",
    "    firstNo = next(iter(nbrsOfSHEDLIST))  #pick one of these still-in-UL neighbors as a starter   \n",
    "    firstGroup = getContigFromStarter(firstNo, nbrsOfSHEDLIST, UNITNBRS) #first find all neighbors that directly connect\n",
    "    foundNbrSet, foundTotalSet, newFoundSet = set(firstGroup),set(firstGroup),set(firstGroup)\n",
    "    LOOPNO = 0\n",
    "    stillConnects = False\n",
    "    if len(foundNbrSet) == len(nbrsOfSHEDLIST):  #ALL in-UNITLIST neighbors of the shedlist still DIRECTLY connect after the shed\n",
    "        stillConnects = True\n",
    "    while len(newFoundSet) > 0 and LOOPNO <= MAXLOOPS and not stillConnects:\n",
    "        LOOPNO +=1\n",
    "        lastFoundSet = newFoundSet\n",
    "        newFoundSet = set()\n",
    "        for U in lastFoundSet:\n",
    "            newFoundSet = newFoundSet.union(set(UNITNBRS[U]))\n",
    "        newFoundSet = newFoundSet.intersection(shrunkSet)\n",
    "        \n",
    "        foundTotalSet = foundTotalSet.union(newFoundSet)\n",
    "        foundNbrSet = foundTotalSet.intersection(nbrsOfSHEDLIST)\n",
    "        if len(foundNbrSet) == len(nbrsOfSHEDLIST):  #all in-UNITLIST neighbors still connect after the shed\n",
    "            stillConnects = True\n",
    "    return stillConnects\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave\n",
    "\n",
    "def isRookAdj(geo1, geo2):  #intersection with rook (not queen) adjacency\n",
    "    isRookAdj = False\n",
    "    if geo1.intersects(geo2):\n",
    "        if (geo1.intersection(geo2)).geom_type != Point(0,0).geom_type:\n",
    "            isRookAdj = True\n",
    "    return isRookAdj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  OH\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use oh_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. OH has 11799448 peeps and is divided into 8941 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 16 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 88 counties in OH .  I will assign them county Nos 0 - 87\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "tractVAP = tractPopFile['P0030001']\n",
    "tractWhiteVAP = tractPopFile['P0030003']  #this is within 2% of VEST's vap_white\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 7 unpopulated coastal tracts.\n",
      "Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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/7nosoSpUQyyGnhPhpItAbwJTHDG9p0AzTfCmKIDa+M/yW7duZdOmTbz++uvs3LmT2bNn43A4mD59OtnZ2ezatYuvv/4av9+P3W6nqKgIv9+PXq9H07SaZqDk5ORjvgd1NBW+YLh2pS1NHJebm8vNN9/M4sWLsVjq7jR1iMvlYsaMGQwYMID777+/KWU8itlsxmw2N+s5hRBCVKsqh28eoWrLh1gqi1DRoST2gtHXYhlxdbOFkzrpaFINy9///vea70eMGMH3339fc/+KK67g9ttvx2KxcOGFF3Lw4EFCoRCPP/44EG49uOyyy3j88ccxGAy89dZbjb+ONszlDTDk/q8A6J4Uy96DlaiKgtmgj2i5GhRYNmzYQFFREcOGDavZFgqF+Pbbb3nmmWfw+Xzo9XrcbjfTp0/HZrPxwQcfYDQaj3nOQ4s0FRYWkp6eXrO9sLCQoUOHNvByhBB18bkq+Pa5hcTYHYz9w+8iXRwRjVQVtrxHcOWTaMXbMWpBNEsSytA5GCb9FYM9/cTnaAaKojW50+0hR4YVgIULF9Z8/9FHHx21f9euXVm2bFmzPHdb4g2E2LSvnI37ytiwt4xVOSU1j03KSmVAZzt/+3IbQ7vGR66QNDCwTJ48mezs7FrbrrzySrKysrjrrrvQ6/W4XC6mTZuG2Wzmo48+OmFNTI8ePUhLS2PJkiU1AcXlcrF27dp2N62wEK1NVVV+fn8xSz56lYDPCSj0PnUEaUOzIl00ES2Kd6ItuR9vznJiAm5COhP6LsNgwt3E9olAp1Md0EyBRRzNGwix72Ale0sr2XLAycZ9ZazfcxBvQMVmNjC0azw3nt6bif060S/NhlEfrk177OsdER/Y3KDAYrPZGDSo9kQ/VquVpKQkBg0ahMvlYurUqVRWVvL666/XGsGTkpKCXh+uTsrKymLevHnMnj27Zh6Xhx9+mD59+tCjRw/++te/0rlzZ84999zmuUohOqDirb/w6XPPUFq8g5SUfky75j7e+efDfP7SC1z+f0906EXlOryAD757Ev/GVzG4DoS32TPg1Bsxj73lmPOktIZwHxYJLM3FGwjxU56TNb8c5JttRWzcV1bTRSgh1sjQzHhundKXcX1S6JdmQ6+rO5ZEOqxAM0/Nv3HjRtauXQtA7969az22e/fuml7a27dvrzWZ3J133klFRQXXXHMN5eXljB07li+++OKEtTNCiKP53JUsf+Zlsn/4GqMpjjMvvpmsWZPR6XRMmX05n731L7b9bwkDZp8R6aKK1pbzDeo3fyOQ9wNm1UfQaMPQ7yx0U+4jJqVfpEsXpgBN6MPSUfmCIYpcPsorA+wscrM5t5xN+8r5Od9FUNWINek5rXcyD84aRN9UG10TY0m1m1GUaIgi9dPkwHJke9/EiRPRtBN3I/71Poqi8OCDD/Lggw82tThCdFiqqrLtf0v4+oNXCPjdDD5pChNuvBqzLbZmn37nnM7axZ+w5MNX6TN9PMYY6bze7rkLYemDeH/+DIv3ICHFgJLSD077I7GDL2zZDrSNoVOkSeg4Cpxenlu2i1dX7wXgmvE92Zxbzoa9ZYSOGF3VM8XK0Mx4Ljwlk5Mz42s177RVsvihEO1AybbdfPbssxQXbSMpuQ8zbniQlAE9j9pPp9Nx5rXX8/ojf2L1C68x/tb/F4HSihanqrBhAcHVz8HBX9CjEopNhZHXYJw4F2ITI13CY1No8tT87Y2maeQ5vfx3w36eWLyj1mOfZeczIN3OX2f0p3cnG44YI10TY3HEHnuwS6PL0exnbBgJLEK0Yf6KSr79vwX8sPkrjCYr035zIwPOn3rc/impQ/rSL2sc36/7jKH7Z2LPSD3mvqKNyduMtuRBfHtXYwlWEtTHYOg2FmXyPVi7jo506epF0SnShwXw+IKs2FHMp9n5rPmllBKPnxijnvOHZXDlad3plhSLL6iSHNc6taTuqgBub6BVnutYJLAI0UZt++gbFv/3P/h9TgYNmsTEP/4es91ar2Mn3fh7dt6ynq/+7wV+8/f7WrikoiX5vT7WffAdxatWM9b+DonGfWgJPeCUq7CMug70bezPfAetYVFVja35Lj7LzmfptiJ2FLpRNRjY2c5Fp2QyuIuDMT2Ta9Wc2FqxfBXeIG+ty2XeeUNOvHMLaWP/k4UQzn35fPqvp8nPyyYxqRdn/eleUof0adA5YlMSOHX8eaxc+gZb3v2CAbPPQBfhSaFEw/yyOYe1H/1IcX4Mes0EjGGndzen3vEJMfFteOZvndKuAovf56/53uMLsr+skrzyKg6UVbG7pJL9ZZWUeHzkFFfgrAqQEGvk9KxOXHlad0b1SKJ7cv0+hLSGSVmdIvr8EliEaCNCwSDrXlzE6pXvo9MZmTzz9wz57cxGD08ecfUFbNm0ii/fe4aln7zOkMHjOPk3M3F079zMJRfNxVPmZtV7q9mRXYnitxNSYkhIq2L0jJ4s/fcuArGp0JbDCoTHNTdhav5o0X/0EKoWmtk9/2W6r3fiiDHirDrcpGLQKXRNjCUjMZYeyXGM75vCyB6JjOiWiMkQfZ1j0xJj6JUS2fAkgUWINuDA2mw++fczeFwH6NlzNNNuu4HYlIQTH3gceoOBK597in3ffs/6zz9n44Yv2LD+E1I69WP4xDPod/bpGMymZroC0ViqqrJl2Y9s+DoHz0EbCnqUWI3BYwyMmnUa5thwH4al/94V4ZI2E6Vt1rC4SqrI/fkgBbtdFO91U5Zfgdp9PCP2fcf4vtczqkciGQkxZCTE0Dk+hpQ4M4Y2PmqntUlgESKKeZ0enrv9zzz9wWsYDGYGDDyJP75+F08//TTvv/8+cXFxLFy4kPT0dK699lq2b98OwNq1a8nLyyMhIRxqHn30Ud57772jpirX6XR0nziS7hNHUnXQyY/vfcbG9cv44p3/Y/Un7zG490kMuHw6tozeR5VNtKzi3CK+e28d+3Zp6ENWgnoLXXp5OW32MNJ7Z9R9UNuvmKhuEor+C1FDKgW/uNj9QzEHdpRTvM+NolNITI8lraeDQeM7s/vjNMhVePWqkZEubrsggUWIKKSqKlve+ZxvPn0dl7uM+Xc8wuRb/h9/vf8+3n77bT799FNWrlzJ+vXreeihh3juueeYP38+AHv27OGqq66qCStut/uoJTXqEpPoYNQ1lzDqmktY/fizpBb2xeS24HwmnwOdNuEYYafT6PHoTTEteu0dWdAfZP0na/lhVSFBjx0NM5Z4N8PH2zh56oRW6Wf01ltv8cc//pHi4mL279/PH/7wB9xuN+PHj+eBBx7gP//5DwsWLCAQCHD66aczb968Oo9tNJ0CWvTVsKiqRul+D/u3l3FgRxl5O8sJeENYHSY6901g6BmZdB+cjMly+G1172cKWhuamC3aSWARIsoUbdnFp88/w8GSXaSmDeTSe/9OYp+uAJhMJg4cOMDAgQNRFIVhw4Zx9dVX1zr+3Xff5YILLqi5/9RTT3HjjTdy00031ev5Nz/3Mp2LB1JGLt1+P5rKvTtRN+gJfRbLnsUrUPqVkjxuGPZuUTIzajuwJ3s3az7aTNEBC3rVTMhooPdJQU47fzSOTvH1O4nS9FqJUCjEu+++S2ZmuB/MHXfcwfPPP0+XLl1q9vnd737HVVddBYQnC92/fz8ZGRlHHdtoUdQkpGkapQc87FhbyLY1+VS5A+iNOtJ7ORg2tRsZWQmkdreHh2LXQQ2F0KJtYr4mqMe8sC1KAosQUcLnrmTZ0y+xJXsJJrODs+bcRv9zJtU8vnfvXr766is++ugjzjnnHHw+H9988w0HDx6sdZ7333+f//3vfwA4nU6ys7P5y1/+Uq8ybH723yTu60MxOxh03yWY4+JI6NWHLpPAtednClf8iG57Mq4tReQlZ2MfYaXT6IkYLFLr0lAVTg+r31vDth89KD47ISWW+E4VjDyzO1mj+zfqnE19Q3nrrbe44IIL+Oc//0kgEGDPnj386U9/oqioiIcffphTTz0VkyncrykYDJKQkEBiYuJRxzZJFIwSKi+sZMf6QtZ/shsAs9VAv5Fp9BqWQmp3B3pj/UJIKKS2mxqWaLgKCSxCRJiqqvz8wWKW/O9VAn4PJw2dxvibrsRkPTylvsvl4tJLL2XhwoWkpKRw/fXXM3XqVIYOHUpW1uGVl/fs2UNsbCydOoWHHz755JP1r1mpDitFbOek+y/DGFN7LS979/7Yu/cn5K+icM1y1PUK6hdx7FuyEq1PCcnjTsLRY0Az/ETaL1VV2bI8O9yBtjQu3IE2RmPgWIXRsydgsUZu/bRQKMQ777zDhx9+yD//+U9KSkrYvHkzb7/9NiaTiZkzZ7J+/Xog3Cdq/vz5TJ06ldjY2KOObRJFF5E+LJUuP7s2FLF9bQFFe1wYLXr6jUqj2+Akeg5NQd+IkTtaKBS+HtEsJLAIEUEl23bz6TPPUFK8neSUvsy48WGSs3rU2icYDHLxxRdz33330a9fuBnmsssu47LLLmPZsmUkJyfX7Pvee+/Vag7atWsXq1evBmDnzp088sgj3HPPPUeVY/MzL5GY25dCtjH0/suPCitH0pti6Dx+Op3Hgzt3B0XfbkLbnoR7ayn5if/FNtxM6qkTMcTENeln054U5xax6r/r2LNLwxC0EtSZ6dKjijHnDqNLv+YZhtzUT8Cvv/46F154Yc0w+fj4eHr37k3XruHmSKPRSDAYxGAwcPfdd3PHHXcwe/Zs1qxZw/bt22sd2yQ6BQLNH1hUVUNRqLXYX6XLz4EdZexYV8i+LaWgQOaARKb9fhDdBydhMDWtz1AoFGo3NSzRQAKLEBFQe0r9OKZfeBP9Z59R5x/8t956i7Vr1/LQQw/x0EMPcf311/PBBx9QVFREt27dePbZZ2v2PbI5COC1116r+X7EiBHHCCv/Jim3HwVsZej9Vxw3rPyaLbMvtjl9Cfm9FK37FnW9hrbYwb5v1qD2LiZ57CDiew+u9/naE7/Pz/cfr+PHNYUEPQ40zMQ6XJw8Po1h01qnA21DbN26lU2bNvH666+zc+dO7rrrLpKSkigvL8doNOLz+TAYDPh8PsxmM3q9HqvVSmxs7FHH/vGPf+Tpp59uVDk0na5ZRztpmsaOdYV8vWArMXYTfUem4i71UlZQSVl+BQCpPeyMvbAPfU5JxWJtvjV41JAa7pMjmoUEFiFaWa0p9QdPZuJN/++4U+pfeumlXHrppbW2XXTRRXXuu2rVqmOe59dDmuFQWOlLPj9x8v1XNXr1Zr3JQvrYqaSPBU9eDoXLv4dtiXi2lVOQ8AFxJxvodNoETFZ7o87fluz+IYc1H/1IcZ4FvWYmZDI2vANtBPz973+v+X7EiBE8/fTTrFq1ipkzZ+L3+3nggQcAmDdvHsuWLSMYDHL66aczZMgQhgwZctSxjdZME8dVOH3s/qGEn1flU7THBUBcvJndP5TgSLaQ0TeeYdO60qVvArbElmmK00IhNGkSajYSWISoB1UNEQoGCQUCqMFgzfehYJBQ8PC2svwDlOUfoHO/AaihIP5CD/7yKtRQEDUYZHv2RgoLfiIxqTcz7riPToMiN7/J5v97maT9fclnCyfff3Wjw8qvxXXuRdwlvQgFAhR//y3quiDa0iQOLF9PsGcRyWOzSOh3crM8V7TwlLlZ9d81bM+uQOernoE2tZJRZ/ag76isE58gyhwKt6eeeiorVqyo9dj9999fr2MbTa9rdO9hVdUoyCnnh6X7+WVzMYqi0KVvPLNuGUpGVuuvUG30uPDGRM/U+m2dBBbRZhTt+YVKl7M6HASOCAzBw9uOCBDBQIBAIEAgGCQQ8BMMBAkGAwQDAYLVxwUDgZr9tWAQLRREDQTQQuH7avW25hq1YDQ7OGP29Qy68Mzmae9vpB/+bwFJ+/s0e1g5kt5oJG3MZNLGQEXBXoq+XQtb46lY4KHQ8SFxQxU6jZuAKS6+2Z+7NaiqSvbSzWxYupuK6hlodbEagyfUnoG29UT/ZGv1ougbnFe8FQG2rszjhyW5VLr8OFJimPjbfvQ6uROWuOZr4mkoTdXQ2trik8egKJH/H9Y+fpKiVamaRkDTCKga/uqvPlUloGn41aMfC2pavToEHvplqGtff1kpW+754zGPVfR6FIMRxWBA0RtQDAZ0ej06oxGd3oDeYERvMKA3GDAYjZiMRoyxVgxGAyajCaMxvF1nMB7e13j4mCO36QxGDAZD9b6H99MZDAT9fnwHnPg+LMScbiO2fzJxw9PxbS1H0emwT4j8Oi8/PLOAxP29yGMLw5rQDNQQ1rRu9LiwG2ooSPH3K9HW+lG/TSVv5Ub83QtJPq0P8VnDIhri6qtoTwHfvb+efTkKhlAsQb2FjF5eTp09nPTeXU58AnF8+vqPEqpw+tj45V62rshDDWlknZpO1ug00no6jjk3SnMonPco3p9/Dt/RNNA0tEN/wbTwNi0YpOeuXyi2R3bBwPZEAksrOvRGHzz0pq6F38zDb+oQPHT/iH0OPd4aNOo30kBRwKgomHS66q9KzddYow6joqu1Td8Mnc5cmpctwPQ/3Eq3ISfXDgp6Q62e/5EU8vjJn59HjCEOijVC+kpKvv2x5nFLz3hMmTY0VTvqD6pvj5PiF34kZnAyjundMSQ1/9wmm59dQGJuT/KVLQy776rjdrB1Op2cccYZbN26lTVr1jBo0CDeffdd/vWvfxETE8Mrr7xCRkYG27Zt45prriEYDPLQQw8xefJkCgsLufjii9E0DZvNxjvvvENMTAw6vYHUURNJHQUVxfspWr4KfnJQ+WoVRbZPKEzdyaCZF5CU2rXZr70p/FUVvPPGsxT+lI65qjMaFqwJLoZPTOOkydHXgbZNq0enW68nwMYv95K9bD96o46Tp3Zl0IQMYu2ts/ZV2aJFaD4f9hkzqB56BLVGIClgNLDHksr3Sb2Z2iqlav8ksNTTyjJ3k4ODooBBCb+RGxUFQ/WbukFRMOoUYnU6DIfuK9R6XBclb8iRYjCFawFMsbHEJbR+W3S9/ep1ChRU1Lpf9t+dKEYd/lw3AKbudqzDUlF9ISrW5AHg+6Wcgse/J2ZwMrZxGZgybc1StM3PLyBxX0+KlG0Mve/KE44Gio2N5dNPP+WOO+4AwsOrn3jiCZYvX16zJMD8+fP585//zMsvv0xqaipnnnkmkydP5o033uDiiy/m2muv5aGHHuKDDz7gt7/9ba3zW1My6PGbC1FnBynZtIrAJ0F67BrB+f/7LQN9NuacdBmjx14U0VqXLZu/5p1VL/GlcQeD889kkG8wvU8OctpvRmNLctTrHKqqctVVV5GTk4Omafz73/8mKysLj8dDjx49WLBgAWeffTYFBQVcdtllVFRUcP311/O73/2ugaXVIj4TabPQ6eAYLbDeigA/LM3lhyW5oMHQM7oydEom5tjWbfbRxcaS+Ic/kHztNcfdb817P7Kt0N1KpWr/JLDUU0DVOD2p/Y9wiFaGQ7Nr+v0RLsnx6a1GujxyGs4v92LKtBHTPxHX13sJFFSihVSUQ/M66BUIafj3uPDvcYFOwdzLQcJF/TCmWancUIh7xQGKnt2Mqbsd27guWPonNbqa+4cXXyFxTw+K2cGQv16KKebEtTdGo5GUlJSa+zt37qR///6YTCZOO+00br/9dgDy8vLo06cPAImJiZSUlNC/f39+/DFcs1RWVlZrrphf0+kNFLjzifOlsCFxJbP1A3nfuIFrd/+NlJ/+xRlKX8z6oz85a8d4dz7We7ZW1yPHOEdIC7Ei9Av74tzEGA1M8/chVGnGa3Ax/dq6R2gdy+bNm/H5fKxYsYIVK1bwxBNP8OKLL/L0008zfPjwmv3+/ve/c+eddzJx4kTGjRvHb37zGyyWyE0kFzH6o/uw+CoDrP9sDz+tyENTNQZP6MKwad2IsUVoNXG9HtTQCXdTFCI/n307IoFFtAmHA4svwiU5MUWvI/6sw5O/Oab3qHM/TdNq2uF+3aQVN6Yz1lHpeLeW4l5xgNLXfsaQZCFubBdih6eia8CEVj++/BrxOV0pIYfB9/621gy6DVFWVobdfji0h0LhP9jqER2SHQ4HBw8eZOTIkcydO5fXXnuNhIQEHnvssWOe11vpxrXcj89YyuSrr8KelM6NoSArl73G6z8t4iPL1hM0ETS+9vGYFZcK9PA7uDb+PKZPvR5TjJUH75zXqOfKyMhA0zQ0TasJby6Xi+zsbEaPHl2z37p16/jnP/+JTqdjxIgRbNmyhREjRjTuwtoynT5cw6JpoCiUHvDw2QvZVLn9DJ2cyeCJrdf0cyyKXo8WrF9gkbjSfCSwiDZBp9Ojr+7U2l4o1e3ex3xcpxAzKJmYQcn49rnwrDxA+Uc5uBbvxToqnbgxndGf4A/3loVvYt/ehYPsYeC9v8FkbfwQy/j4eFwuV819vT4cmo5ssnE6nSQmJvLYY49xyy23cMUVV/D444/z4osvcv3119d53q/m/4uTvBPIP3U79qT06nMbmDD5SiZMvrLR5W1uSiMXF0xOTsZoNJKVlYXX6+W7776rWZBy8eLFNfsFAoGan+Wh4NchVdewaKEA29eXsnzRDhzJMZxzz0gcKdGxZpWi14dHD554z3ZVwRLpa5HAItoMg8ncrgJLQ5i72jH/1k7woBfPqjw83x3As/IAMSelEDu0E+YeDhR97fTz0+uLiNuaSjm59L9nNua4+vW5OJY+ffrw888/4/f7+f7772smC0tPTycnJ4dOnTpx8OBBkpOT0TStphkoOTmZgoKCOs+5cfHrDC4cxw/JKznnnKNn4Y0qGjSmhuWrr77CYDCwfft2vv/+e2666Sb0ej1//etfawUWo9GIqqrodLqa4NcQ7aaXm94AKixdmM22751kjU5j/CX9MJob17FZ0zScH3xIqOxgePSOdsRonvAOR3zVam3TqkcAAWheH6UvvYRt+nRCHg+ETjzVQbiGpb0klsj/D5PAItoMg8lE0Bf9TUItyZBoIf7snthOz6RibT4V6wqo/L4QndWIpW8Cpm52TF1tbPtmEbYfu+Mkn35zZ2JxxDfq+c466yw2b97M9u3bufbaa7nllluYOHEiFouFV155BYBHHnmEK664glAoVDMb6g033MBll13G448/jsFg4K233jrq3FWuUrzf6Sg0FzL599c2+mcS7TRNIykpCQiHt/Lycqqqqpg+fTq7du3i448/ZvDgwZxyyiksW7aM8ePHs2HDBv7xj3806HlUreHzl0SVUBB2fgl+D5qmkLulgClXDqffqLQmnTZYVEz+n/8MgM5uB0U5/NZ7aIRPXd9DuLm2em+1ItyB3v3FFxjS0jBn9Tvhc0sXluYlgUW0Cd4KDxXlZRHtw1K05xf2//wTmhpCDVXf1BBqSA1vU1XUUAitZvsRj4VC6P16Onk6o6gKaAqKBqgKSaFUAMqUYhRNQdHCfyAVTaHmn6agKLqarzp0KEd+4nH78G3wwIbw3XilD+Xsw3/O5+wr/gWKNYwGByZzJ+KsfXE4hqHUY8rwzz777Khtv14WYMCAAUfNhtq1a1eWLVt23HN/9dJznOQdR/H43VgdtTvlatXzWuiialrz+s0n9GtnnHEGCxcuZMKECfh8Pp544glOPfVUIDxr7IgRI+jWrRt33XUXl112GX/5y1+47rrriKlHx+gjBbFQ7I78PD8NEgrAnhWQ8w1kvwfuPOLM/XCpcN6tg7F3a1pYAdB8XgC6LlyIdfSoJp+vITr44M5mJ4FFtAm/bAwva+9IbfofsIbSNI21H7zDd++8jl6vR2cwotPr0On06PR6FL0+/L1OV/29LjxpXfV2Ra9Hp9eRFupGir8zbn05KKApGpoeqO67p4vVo4WzTHjFWh2oioKiB3TVfSj0gBICXQjt8IfA6m+U8Mya3iCVwZ3YpgTQ9FYOHlyBpqmooSr8gRI0LYTZlEpKp2lkdPkdVmuvVv6JwvpP/8PQ4nFsTlnBrLP+WuuxgooCznjvDGIMMay8eCWmX40QKiwsZPbs2RiNRvR6PW+88QbXXXcdTqczPPtsdjZlZWV8/vnnPPzwwyiKQu/evfnPf/6DTqfjqaee4p133iEpKYnXX3+9VkfiE9Ia/g5kMBh4++2363zsyGnu09PTazURNZRDvx+TztPo41vdts/gq3vg4C8Qlwr9zoIRV2J5+7+41r+DPb555rbRguG+Joqx9d/ulHbWhyXSJLCINkGtHpEyaOIZrf7c376xgO8/fp9hZ81i/Jwr0Rsa92tTsa6Asvd3kvXw2XVOdJfR1ILWg6aFcDo3UVT0OYVFn7J//2t06TKHvn3+gk7XOnNZVDhLCK2zcsCSx9Rrj5692G6y4zA7mJM1B2MdZUpOTmblypXodDoWLlzIyy+/XLNC9bJly2qaqiZPnsyZZ54JwBVXXMGqVavIysrio48+YuXKlbz55ps8++yzzJ07t17ljvYPyxZdGW1iTIrzAHx+J2z7BHpNhvP/DZ2H1VRHKIaPwm/yaqBZnk4LVAeWRv7eNvn5I/Ks7ZMEFtEmaFp1B7dWfNcI+LwsfulZfl7xDadeMIcxv7mkaSc8VPb6TincAhRFT3z8COLjR9C7953sP/AmO3c+jKr6yOr3ULOFFq83jz17n6e8fD2apnLyya9iMYdrx5a++iwn+yaxNe5HVvz3eU6edC4pmYcXCIw1xrLy4pXHPPeh0UkAbrebgQMH1tx/9913ufDCCwEwVQ+FP9TJsnv37qxfv54JEyagKArTp0/n8ssvr/c1RXvnyXCDVRSXUQ3Bupdg6UNgssIFC2HAuUe1myhGE2gKWsDXLL8mWqA6+EQgsCjKsecLEg0ngUW0DdW/80orvNNXuV3kfL+Wn75dQsGunZx+xbWcPG1Giz9va9PpzHTNvBKdzsz27X8lztqHrl2vbvJ5g0E3a9aeSSjkITFhLGXla9m06XecPPRVLJbOdD9pMJsr1tKlojcpPydR+XMB38aspcyaiz3DyrAzLsKR1Pm4z7F582auvfZaysvL+eqrr4DwfDDffPMNTz75ZM1+Cxcu5O9//zu9e/cmJSWl1lwyDR86rBDV9Sxaa/x2NFLeZnhxQvj7U/4fTPorxMTXva8xHDTL5/8DxZp4RGdYXfWPX3d4mzEGkvoe+2VRFPy5ueFvja2/CGLUvh6NFOnQLoFFtAk1n1JaqBebGgqxc91q9v+8hT2bN1BemI/ZauWMa25kwLjTm+dJovSvV0aX31Jevo6du/6G15dPzx63YDDENfp8Ol0MoZAHozGRoUMXUlW1l42b5rBq9WT69b2XweMvYfD4cMDYsf4Ldm34HkO5g95lw3CU2Cj54We+j/kUty2PlB6dGD71d1hiay9PMHToUNauXcs777zDvHnzeOGFF1ixYgWjR4/GeMQb0xVXXMEVV1zBDTfcwAcffEB8fDy7du0CaPDQ4SiPK2goKErzrCrerH5ZDq+eE/7+0g+h1/F/n0w9s0DRKHhjVbMVQWe1YjjObMstRVHaTx+WaOhALIFFtBHh3/rmXOTQX1XJ/p9/In/Xdn5e8Q3OokIS0rtg75TKeXPvJyG9hVbejcI/YAMHPIHdNoScXx6joOB/dOnyW7pmXoXR2PC5WxRFh9GYVN28pBIb253Ro75gV84/2Lb9L3i9efTocROKYqTHySNJ6W3F7d6K0eglN/tnCneWY3V2ZmDxqcQUWtizbhV7YnfitReTkdWb/qfNxmoNByqHw0FsbHjm3iObgwB8Ph9mc3gNKrvdTmxsLKeccgpPPPEEAF9++SWnnXZa/S9Mi2BbXltSeRBy18HW/8Hub8G1H7oMhykPQI9xJzw8duKZZP00DQUNNPXYt7xN8NpsuO47SBtU6xyaVns+FQAlQmtSRbpWoj2RwCLaBo1mi/iaqvLD11+w6t03qHI5ibHZ6X7SMGbeOpfUnr2b5TnqdKj8UfjGpyg6una9ik6dpvNj9h/Yu3c++/b9m66ZV9Il43c1/U9ORFWD/LztbgKBUgYOfBJFCfc3MRhs9Ov7IBZLBjk5j7Ev9z/odCaCQVftE5ggbiCkpEwjo+cl/LDkXYpzCrG50+mXPwFjnpEP35rPvGXPoRhDpKR34Y1F76GqKsuWLavVHLRgwQIWLVqEpmn07duXs88+G51Ox4wZMzjttNNISEjgjTfeqP/PqN57RkoE+7C48uDHd+Dnj+DAxsPlMMXBxW+GRwA14Pf3cLg4zkghc/XorjrOq/x6PpUIiYZaifakSYHl0UcfZe7cudx88801fyhefPFF3nzzTTZu3Ijb7aasrIz4+Pjjnuf++++vmXDqkH79+rFt27amFE+0I5qmNkv/FU1VWbrwRTZ/+QkDJ0xm5LkXkpDeuVlrbo7pyE63Ucpi6czIUz7E5ytm955n2Je7gD1755OUNI5OKWditw8hNrYXOl3tPx1+fymlpcvZu+9FKip20qvn7aSlzqy1j6IodO92LclJp3Ow7DvUUBWxsb2Ii8vCYIhDUYxUefexd++LFBV9Su9edzH6nN/XHO8pK2Tjl4vI3J7MFxctBCDbvoH09PB0/lu2bKn1fNdddx3XXXfdUdd46623cuuttzbHjyvKRODdMW8TLP8HbP8cDGboOw1GXAXdx4IjM1ymlqrZqKk9id5UIMOam1ejA8v69euZP39+zfTch1RWVjJ9+nSmT59e7+GCAAMHDuTrr78+XLAIDUET0UnTaPRKxUfK3bqFzV9+wuSrrmdoK3ekPVR+TWvcBGStyWxOIavfA/TudTuFhZ+Ql/9fft42lyPTVmxsb4xGB1VVufj9RQAkJoxlQP9/YLcPOcaZIS6uL3FxfYHwz+LAgTfZvuNeOne+iNjYHhQVfYrBEI/Z3KnmmJwflvPD0qVklg0m3Z9KgamQfQnZjJ55botcf920Vun0Xeczqyrug6WU5R+gvCCP0gO5+Kuq0BsMpHTrSXqfI2ZdVdWWCwmHOA/A0ofhhzchuS/MfBIGzgZL05Z/aJiW7dfWHGTxw+bVqFTg8XiYM2cOL730Eg8//HCtx2655RaAE85yeVRBDAbS0upX7ezz+fAdMUX7kQuyiXaqmZpRivfuRtHpGHLG9KaXqaGq/7B6VuWhGHWHV6TVNDQVUDUMSRZih3Y67mlak8Fgo0uXS+jS5RKCQTdu90+43NkcOLAIiyUdkymJhIQxWGN7ER9/ChZLuLbD4/Gwbds2fL5ievVOxRprIeeXx/G4t6EoelQtiMWSjqLocTo3ApCXd3hytYyMOWiakaVv/hPvbiMD3EMYqkxgu/1H/EOLGHXONYww/CYiP5PWoGkanoOlFOTsYNvK5exY+13NY4pOR0JaZyxxNgLeKrZ8sxg1FKJL8lloagj+2Q/6nQmdT4bEnpDUC2ydjx1iVBU8hVC+DypLIVgFQR/oTZDQAxJ7QGwi+DzwyzLY9BrsXBwe5XP2v2DY5eEVlltbG6m6KPH4+PsX28Kdtqun+leqV2g/tE13xPeKotTsp1OOPkZXvWbqoe854tgj/TpcH/04x3381+eo8NZnsceW1ajAcsMNNzBjxgymTJlyVGBprJ07d9K5c2csFgtjxoxh3rx5dO3atc59582bd1QTkmjfNLQmfZDSVJXifXv48evPibHZ0UXgD6wh0QI6BdeXe1AM1UMzdYT/4OhAC2po/hAxJ6W0ThNVA1VVwf79VozGcaQkT8Tv9+Ot8uL36XC7FPbvP0BFxQ7279/PL7/8gqZpnDT0I7y+MnwBExZLGhmdz0Gn6FB0RtzubNA0Bg9+jvy89ygpXQpA0G9m/TebKNz3Nn19IzlgPsDPmd9xyswLOLPrpAj+BFruDdLvrSJv21YObN/K9tUrqHQ58VWvXXNI5sAhnPH7G7CnpNaavDDg91H4yy5WPb8GizUehlwIO74MB4tD8xcZLOHwktgzHED8lVC+F8r2gjMXgt76F7bzyXDWYzD4ArA0YJbgZhf9TUInd41nyc+FfPpjPqqmHbHOYrgr7qFtGoc+u2jV32uote7X/l6t/p4jvz/Cr+d+qet/bmPyXmZCbMMPakYNDiyLFi1i48aNrF+/vtkKMWrUKBYuXEi/fv3Iz8/ngQceYNy4cWzZsgWbzXbU/nPnzuW2226rue9yucjMbNk1NNpGlm/HNK3RVb/OogI+fOxhSvbtQac3MPbiS5u5cPVjyrSR8bexx3y8YkMhZe/uCNe8ROAD6/EUFhby8ssv4z/Batlms5mMjAwmjB9PqDCf4pzpJLj70LuyO3p0uPQeXHo3FQY3VfqT8Osr2WlYRSjGisX/OxyervSq7I5FM7EzZhubyh+j57IdDH7zLWK79m2lq62bAo2amv9ImqqyY+0q9NXLCuT+vIX9P2VT8MtONFUl1hFPYucMsk6bQEr3nqT16oMt8fjDcY0mMxlZA1GVzcTYdTDtkfAt6A/XmhzMgdKc8BT4B3Pg50/CE7fFd4M+Z4S/JnQLf7Umh8ONMQYCVVC2O3xs/g/hsNN1DKRE9nWo0cJTHTSHs4d05uwhx59TKFr9OvQsLXUxObk1m/yO1qDAkpuby80338zixYuxWCzNVohD02cDDBkyhFGjRtGtWzfeeecdrr766ImszGZzzXDF1hK9vxIdg6Zp9VqsD8JvCoW/hOfaUNUQXzz/FGooyG/+8jCpPXtjsTZ+jpGWpOir+7iEVBR99CSW3bt388orr2AymfjTn/6EoiiEQiFMJhNms5lKl4sfVyyncHcuQXeQuBwfSdsqcYS6kK5LIMe6jQ361zEGNVS9Db3BgdEQT1zISoy/E3EhG/qDRjwGN8XmPH7uvIKumRkMDcRTvjUGLwp7f/tbOt3+JxKvuipiw1PRmjZxYUV5GS9cWzssW+MTyBgwmIETJ5PRfzCJXTIaXbsWUvW1J3M1mCC5d/jWGHojpJ8Uvg06r3HnaFHRX8PSlv36/6EuCoJhgwLLhg0bKCoqYtiwYTXbQqEQ3377Lc888ww+n6/WtNmNFR8fT9++fWsmeBIiXMNSv13XvP82q949PFzVmpDIhffOI7FzC82r0lyqA0vJy1tqj1CtrjPWDn0PR9QhU3Nf0zQIqmga6KzGw8f+2tH1x8fYHv6i83o5zzcSfArb/v41ASUQHv2AhhEDnQKJdCV8KzYcpMBQwk+xP+PIjCersISeLy8AwNS7F1rVHgIHDqBPSiLjmf8j9uSTAQgWF7Nz3HisgKl7d/x73qYAsJx0uPNu0T+fwLPyOzo/Og9jPfu7RYN9W35k0xcf1SzgCTDy3AsYNHEK8WnNN0JN1XTomqFjepvRBmpYRPNqUGCZPHky2dnZtbZdeeWVZGVlcddddzVLWIFwh72cnBwuvTQyVfci+mj1+HRbuj+XH5d8wcbP/kfXwUMZP+dKNFUlpVt39IbWn5a7oczdHcSOSIXQEeGsZj6J6i+62vePfFxRFIIHvejijNUP/Xo55yOcqMfdEXcNahzlB3yooRCbKjZgUg3YNGv49VA0cuw5JHZOpl9md3oUB+ll74pv504qPv+ayk2bAIg95RS6vvoKiqLg3bqV3OuuZ+8lv8UyeDC6mBgq162reT7LgP6k3HIL5e+8TcWq1SgWC4lXXoF11Gjy7rqLX2adS+qdd+KYfW7kaluOQ9M0SnP3smPtd+xY8x2l+/eRnNmNiZf/nv5jJ7ZYDZ9G9creHYVWvcz5h3+AYZfCsMsiWx7R4hoUWGw2G4MG1Z5R0Gq1kpSUVLO9oKCAgoKCmtqR7OxsbDYbXbt2rZkGe/LkycyePZsbb7wRgNtvv52ZM2fSrVs38vLyuO+++9Dr9VxySRMXmxPtyNF9WHyVleTv+Jm9W35gz+YNlOTuxWKzc8o55zN8xrlY4xMiVNbG0dtMJP4mSvoH/EoS4XJd++ItWL3wu4Rp4dFNmhbu0LzpC7I/zz98gMWCpU8XzrnofrqcNRtd9UKEAJYBA+i95GvcS5bi/uor1KoqUu+5B++WbBznnY911EgA7NOnHVWOHh9+QOHDj5B/zz0cfON1Uu++G+vIkS178YBv1y68AR8mFDZ+9j9QdBhMJowmE+h0aKEQwUCA8sJ8dq1fQ1nefsyxVnoNH8mES6+m+0nDWrwjtabporKzdovpNDA8lHr/Bvj2MQksHUCzT3bywgsv1BrBM378eCA86+QVV1wBQE5ODiUlJTX77N+/n0suuYTS0lJSUlIYO3Ysa9asISUlpbmLJ9ooTVUJeKsoyd1LjM3O8tf/w/ZV36KGQlgTEuk+ZBhjfnMJPYePwhCBRc46isxi2JGh8H+Br1COrAjqr6AMMIYXmFMUFEWhKriHTgN0XHBEWDlEMRqxT59WZyg5HkNCAl3++TgJc+ZQ+Oij7LvscmJHjiT5xhuIPeWUZn3DDhQW4Vm2jPL3/4v3hx/RnXEJMcE4Vrz5DADBwNEdkK3xCXQfOpyJl11N10FDW/X/oqopLT79SlTxlkPRNqgqg5i29eFENE6TA8uv51u5//77uf/++497zJ49e2rdX7RoUVOLIdo5ffWb3iu331Cz7bQLf0ef0aeR2LnxHRVFw/z3ni0n3qna2EVjcfqcLVKO2GEn033RW7g+/ZS8O+5k32XrMHbrimPG2TjOmYmpe/dGnTdUXo7zo49wfvwJ3uxs0OuJHTaMlD/dRsqP3QC4+fX3gXDTT9DvAw10Bj06nT6iTVQaHayGpWQnFP8Mp94E3U+8RpFo+2Q6WdEmDJwwmcT0DPRGA77KCszWODKyBka6WOI4bEYbbr+7xc6v6HQ4Zs7EPmMGlevW4fzoYw6++iolzz2HZdAgzH374pg1i9iRx695CZaVUbFqFZ6l3+BevBhN07BNnEDipb/DOm4choTwp3fLSx/j3XD4T6aiKBjNzTdasqlUTYfO0IGqWNTqicxOuxWsSZEti2gVElhEm2CyxNBtyNBIF0M0gM3UsoHlEEWnwzp6NNbRo1Hv/Sueb77BvfhrKr//Huf772NIT8c68hRiTzkFY9eu6GJiCBYVUbX5BypWrcK7dStoGua+fUm5+Y84zj0XQ9LRb4CWZB1ewBfwYzYe3cwVaZqmQ9F3oD/phwJLJGbZFRHRgf53CyFak91kb5XAciSdxYL9zDOxn3kmmqZRuXYdnm++oXL9epwffxKehr6aPikJ66mnknDp77COORVj6vGXRLBYwiHFXenB7Ehs0etoDBUdOn0HrGHRydtYRyGvtBCiRbRWDcuxKIqCdfQorKNHAaBWVBAoLELzVqFPTsaQ0rAlECwxJiCEu6KC5CgLLJqqEtKM6I0dKbBUD2uWwNJhyCsthGgRNpONoqqiSBejhs5qxdyzR6OPj421ABW4PRUn3Le1qQE/GnpWfOcgb9d/UJTqFcGrF8YLz9MTXkDUaFIYde1sTI741ivg0ofh+/9Av7PCTTiKDpTqrzX3dXXcP7SPLhxMFH3143rICy+aKYGl45BXWgjRIiJdw9Lc4mJjgQo8lVWRLspRdEYTWV324HbrqazUH54EuWaxPQUNCAY0Sv2Z9MreQuexx17Xqtl9+1j466bXwosnqqHqmZpD4QUa1eqvNffV6vvV29RQ9Vc13BR0aFtCD+nD0oFIYBFCtIj2F1hiAKiMwsCi6HRM/utVJ9yv9McfWPRcKTpjK//pv+47eOE0GHNjeGFGIRqhAzV4CiFaU3sLLLY4KwCVlb4Il6Tx1FC4o6qutRfXtKWBzghle1r3eUW7IoFFCNEi7CY7vpAPX6jtvsEfyV69BlBVVdu9HjVYHVgMrVzDYk2Gky6CbZ/Aq7PqXpRTiBOQJiEhRIuwmWwAvLP9HWwmGwadAYNiwKAzoFf06HX62tt0evSKHp2iq/urTocv5KMqUEVKbAo6RYeCgk7R1dz0ih5FUWp/RWmWGWCt5lggPA9LW6UGwiNrWj2wAIy9DTa9Dr8sg9dmw2Uftn4ZRJsmgUUI0SK62bsRa4jlH+v/EemihAMN4VCjKEqtEHPU9yjhUTW/3q4pXMT9BIKBiF3H8aiqhhpSw31ZVa36Ft4eXqQSKlzVNSzeEijNqe74Wt25lSO+r3Wj7u1H7a/96msd+8/4J3z6J/jlG6golRlqRYNIYBFCtIgejh6snbM2vOaOFiSkhghpIYJqkKAarPk+pIZqPR7SQjXfq5pa6+sBzwF2le3itC6nhd+E0QhpITSt9ldVU2vfUFHV6q9aePK4Q8dr1c0TWvWQmprtv7oP4Fuh0T9+QAR+msdX6fLz+l9XE/CF6rW/8X9Xgr6shUt1Alr9yirEIRJYhBAtSlEUjIoRo67tr6I937AMqz4u0sU4SkW5j4AvxKhzemBPjkHRhWuHFF3456/TKeFtaFgqdmBNeaX23CfhHX/1tfqGcox969h+1L6/Ouehxw1mGY4sGkwCixBC1JNOpxAKqSfesZUF/OHail7DOpGQZj3B3sktXyAhWoCMEhJCiHrS6XVoavSNcAlWBxaDSWotRPslgUUIIepJp1dQQ9EYWMK1PgaT/EkX7Zf87xZCiHqK3sASrmExSg2LaMekD4sQQtRTOLC0Xh+W3T+W8PN3eSfcz33QC9CxVmsWHY4EFiGEqCedXkeoFWtYdqwrIH+Xk9Qe9uPuZ3WY6dI3oVkmyBMiWklgEUKIemrtJqGgXyWtp50ZN5zUas8pRLSS+kMhhKin1g4soUAIvVH6pQgBEliEEKLedDoFrRX7sAQDqoz8EaKaNAkJIUQ96fS6Zqlh8VUG8JT5atb4qfVVO3Rfo3C3i4T0E00EJ0THIIFFCCHqSW/UEQw0vYblf09upnifu177Wu2mJj+fEO2BBBYhhKinuAQzzqLKJp+n0uVnwGnpDBzfJTyyR6HW2j9KzX0Fe5KlGUouRNsngUUIIerJYjVSVBls8nmCgRCOTrF06nb84cpCiMOkN5cQQtSTKcaAr6rpgSXkV9Eb5M+vEA0hvzFCCFFP5hgD/iYGFk3TZPSPEI0gTUJCCFFPphg9Qb/K/m0HMZoNKLrw3CyH+pvodOGvig50Ol3119qPHVrt2SDT6AvRIBJYhBCinqzxZiA8yqepjBb58ytEQ8hvjBBC1FNm/0QuuW8UAV8IvUFBU0FVw3Om/PqrpnKM7RqKXqHrwMRIX44QbUqT6iQfffRRFEXhlltuqdn24osvMnHiROx2O4qiUF5eXq9zPfvss3Tv3h2LxcKoUaNYt25dU4omhBDNTlEUEtOtpHa3k5xhI6WrjdTudtJ6OujcO54ufRPIzEqk64Akug1KovuQZHoOTaHXsE70GZFK35Fp9BudTt9T0jDIlPtCNEijA8v69euZP38+Q4YMqbW9srKS6dOn8+c//7ne53r77be57bbbuO+++9i4cSMnnXQS06ZNo6ioqLHFE0IIIUQ70qjA4vF4mDNnDi+99BIJCQm1Hrvlllu4++67GT16dL3P98QTT/D73/+eK6+8kgEDBvDCCy8QGxvLf/7zn8YUTwghhBDtTKMCyw033MCMGTOYMmVKkwvg9/vZsGFDrXPpdDqmTJnC6tWr6zzG5/Phcrlq3YQQQgjRfjU4sCxatIiNGzcyb968ZilASUkJoVCI1NTUWttTU1MpKCio85h58+bhcDhqbpmZmc1SFiGEEEJEpwYFltzcXG6++WbeeOMNLJbIrW8xd+5cnE5nzS03NzdiZRFCCCFEy2vQsOYNGzZQVFTEsGHDaraFQiG+/fZbnnnmGXw+H3p9w3q+Jycno9frKSwsrLW9sLCQtLS0Oo8xm82YzeYGPY8QQggh2q4G1bBMnjyZ7OxsNm/eXHMbMWIEc+bMYfPmzQ0OKwAmk4nhw4ezZMmSmm2qqrJkyRLGjBnT4PMJIYQQov1pUA2LzWZj0KBBtbZZrVaSkpJqthcUFFBQUMCuXbsAyM7Oxmaz0bVrVxITwxMlTZ48mdmzZ3PjjTcCcNttt3H55ZczYsQIRo4cyZNPPklFRQVXXnllky9QCCGEEG1fs890+8ILL/DAAw/U3B8/fjwACxYs4IorrgAgJyeHkpKSmn0uuugiiouLuffeeykoKGDo0KF88cUXR3XEjTRN01AUJdLFEEIIITocRdM0LdKFaCqXy4XD4cDpdGK321vkOZYddDE+wYZOAosQQogO5ptSF6cnNf/7a0Pev2W50HpSUGjzyU4IIYRooySw1JMCtP26KCGEEKJtksBSTwpIDYsQQggRIRJY6klRQJPIIoQQQkSEBJYGkLgihBBCRIYElnqSPixCCCFE5EhgqScZJSSEEEJEjgSWBpAZWIQQQojIkMAihBBCiKgngUUIIYQQUU8CSz3JkGYhhBAiciSwNIAsIySEEEJEhgQWIYQQQkQ9CSxCCCGEiHoSWOpJerAIIYQQkSOBpQGkC4sQQggRGRJYhBBCCBH1JLAIIYQQIupJYBFCCCFE1JPAIoQQQoioJ4GlARTpdiuEEEJEhAQWIYQQQkQ9CSxCCCGEiHoSWOpJk5njhBBCiIgxRLoAbYn0YBFCCNFR7K3ysb3Ci15RMEXB6r8SWIQQQogOxh0MsdFVSUDTaj6M+1SV8Qk2fnRX4Q6F6BZjYmqyI6LlPJIEFiGEEKID2VvlY1uFl0mJdoy6wzUnQVVjnbOC/nEWEozRFw+ir0RRSrqwCCGEaMtUTWP5QTexeh3T6qg5MegUTk2Ii0DJ6kcCSwNEQROeEEII0SgfF5czOdFOnEEf6aI0iowSEkIIITqAIl+QWH3bfdtvuyUXQgghRL2dmxrPp8VO9nv9kS5Ko0hgqSfpwyKEEKItSzEZmdkpnl2VXvZW+SJdnAZrUmB59NFHURSFW265pWab1+vlhhtuICkpibi4OM4//3wKCwuPe54rrrgCRVFq3aZPn96UojU7VdMk3QkhhGjzJibayfX6+cFdGemiNEij34PXr1/P/PnzGTJkSK3tt956Kx9//DHvvvsuy5cvJy8vj/POO++E55s+fTr5+fk1t7feequxRWsxivS6FUII0Q6MTbBR7A+itaFp3BsVWDweD3PmzOGll14iISGhZrvT6eTll1/miSeeYNKkSQwfPpwFCxawatUq1qxZc9xzms1m0tLSam5HnlcIIYQQzWtgnIWfPFWRLka9NSqw3HDDDcyYMYMpU6bU2r5hwwYCgUCt7VlZWXTt2pXVq1cf95zLli2jU6dO9OvXj+uvv57S0tJj7uvz+XC5XLVuQgghhKi/dLOJze4qQm2klqXBgWXRokVs3LiRefPmHfVYQUEBJpOJ+Pj4WttTU1MpKCg45jmnT5/Oq6++ypIlS/j73//O8uXLOfPMMwmFQnXuP2/ePBwOR80tMzOzoZchhBBCdHinOKwsKW0bH/obNHFcbm4uN998M4sXL8ZisTRbIS6++OKa7wcPHsyQIUPo1asXy5YtY/LkyUftP3fuXG677baa+y6Xq8VDS9vIn0IIIUT99bNaSDTq+bionJmd4iNdnONqUA3Lhg0bKCoqYtiwYRgMBgwGA8uXL+fpp5/GYDCQmpqK3++nvLy81nGFhYWkpaXV+3l69uxJcnIyu3btqvNxs9mM3W6vdWtp0t1WCCFEe5RiMpJg1FMZUiNdlONqUA3L5MmTyc7OrrXtyiuvJCsri7vuuovMzEyMRiNLlizh/PPPB2D79u3s27ePMWPG1Pt59u/fT2lpKenp6Q0pnhBCCCEaoSwQivpZcBsUWGw2G4MGDaq1zWq1kpSUVLP96quv5rbbbiMxMRG73c5NN93EmDFjGD16dM0xWVlZzJs3j9mzZ+PxeHjggQc4//zzSUtLIycnhzvvvJPevXszbdq0ZrhEIYQQQhzLqjIPIx3WSBfjhJp98cN//etf6HQ6zj//fHw+H9OmTeO5556rtc/27dtxOp0A6PV6fvzxR1555RXKy8vp3LkzU6dO5aGHHsJsNjd38YQQQghRLahqVIRCpJqNkS7KCSlaW5o15hhcLhcOhwOn09li/Vm+KXVxelLL95URQgghWktFMMQWTxWj4uMi8vwNef+O7gYrIYQQQrSY8mAIa5T3XTmkbZRSCCGEEM1G1TRWl3tY76xoE81BIIFFCCGE6HDKgyG2VXiZnuwgxSSBRQghhBBRKNFo4JK0RNY4Pawr90S6OPUigaWe2nzPZCGEEOIIFr2OiYl2nMG6l8GJNhJY6klmuhVCCNHeBFQNo65tvMNJYBFCCCE6KL0C3lDbaEOQwCKEEEJ0UDpFIdlkIM/rj3RRTkgCixBCCNGBjXBYyfZURboYJySBRQghhOjANroqyLJaIl2ME5LAUk9to4VPCCGEqL98nx+/qtEtJvrX7pPAIoQQQnRQWz1eRkdoHaGGksBST21j0JcQQghRf6E2tP6xIdIFEEIIIUTr2lvlY6univ5xMZEuSr1JYBFCCCE6iGJ/gO+dFXSLMXNmSnyki9MgEliEEEKIDkDTNFaXV3BOp/hIF6VRpA+LEEII0QGsc1YwNqFtdLCtiwQWIYQQogNwh1QSjW23YUUCSz21nX7UQgghRG0+VUVrQyOC6iKBpZ5kWLMQQoi2yBMM8UlROacn2iNdlCZpu3VDQgghhDiuPK+fH9yVnJeagKK07Y/eEliEEEKIdsgZCPKDu7LNDV8+FmkSEkIIIdqhZWVupic7Il2MZiOBRQghhGhnCnwBesaY23wz0JEksAghhBDtzM+eKga2oWn360MCixBCCNHOJJkMlPiDkS5Gs5LAIoQQQrQz6WYj+33+SBejWckooXpq29PtCCGE6Cg2uio44A0wI6X9dLgFCSz11n66LQkhhGiPqkIqX5Y4GRVvZZjdGuniNDsJLEIIIUQ7sNbpYUqSnTiDPtJFaRHSh6Ue2vr6C0IIIdq/UxxW1jsrIl2MFiOBpR6CGhh10igkhBAieln1etRIF6IFNSmwPProoyiKwi233FKzzev1csMNN5CUlERcXBznn38+hYWFxz2Ppmnce++9pKenExMTw5QpU9i5c2dTitas/JqKsR1NviOEEKJ9CrbjFoFGB5b169czf/58hgwZUmv7rbfeyscff8y7777L8uXLycvL47zzzjvuuf7xj3/w9NNP88ILL7B27VqsVivTpk3D6/U2tnjNKqBqUsMihBAiqu2s8NIzxhzpYrSYRgUWj8fDnDlzeOmll0hISKjZ7nQ6efnll3niiSeYNGkSw4cPZ8GCBaxatYo1a9bUeS5N03jyySf5y1/+wqxZsxgyZAivvvoqeXl5fPjhh426qOYW0DRMUsMihBAiiu31+uljtUS6GC2mUYHlhhtuYMaMGUyZMqXW9g0bNhAIBGptz8rKomvXrqxevbrOc+3evZuCgoJaxzgcDkaNGnXMY3w+Hy6Xq9atJflVDaNOuvsIIYSIXu39Y3WDhzUvWrSIjRs3sn79+qMeKygowGQyER8fX2t7amoqBQUFdZ7v0PbU1NR6HzNv3jweeOCBhha90aSGRQghRLRr7+9SDao2yM3N5eabb+aNN97AYolctdPcuXNxOp01t9zc3BZ9Pr/0YRFCCCEiqkGBZcOGDRQVFTFs2DAMBgMGg4Hly5fz9NNPYzAYSE1Nxe/3U15eXuu4wsJC0tLS6jznoe2/Hkl0vGPMZjN2u73WrSVJDYsQQoholu2ubNdDmqGBgWXy5MlkZ2ezefPmmtuIESOYM2dOzfdGo5ElS5bUHLN9+3b27dvHmDFj6jxnjx49SEtLq3WMy+Vi7dq1xzymtUkNixBCiGj1SVE5doOeKUkt++E90hrUh8VmszFo0KBa26xWK0lJSTXbr776am677TYSExOx2+3cdNNNjBkzhtGjR9cck5WVxbx585g9e3bNPC4PP/wwffr0oUePHvz1r3+lc+fOnHvuuU2/wmYQUFWpYRFCCBGVYvQ6urXj4cyHNPtaQv/617/Q6XScf/75+Hw+pk2bxnPPPVdrn+3bt+N0Omvu33nnnVRUVHDNNddQXl7O2LFj+eKLLyLaT+ZIfk1qWIQQQkSn9jtVXG2K1g4WynG5XDgcDpxOZ4v0Z/mm1MXERBuK1LIIIYSIoANeP9srvGjAUFssSSYDK8vcnGSLxdYGFz1syPu3rNZcTxJWhBBCRNpPniqmJjtQNY1Nrko2uSvxhlTUtl/3cEISWIQQQog2Ikano9gfIMVkZLjDGunitCqZvrUe2n9uFUII0RaMS7SxyVVJsT8Q6aK0Ogks9SCNQUIIIaLF1GQHm1yVkS5Gq5MmISGEEKKNqAiFWFNeQZrZGOmitDoJLEIIIUSUK/EHWef04DDoGZsQh7kDLsgrgUUIIYSIchtdFZyVEh/pYkRUx4toQgghRBvTyWSkyNfxOtoeSQKLEEIIEeUSjHpcoVCkixFREliEEEKIKLenyk+mxRTpYkSUBBYhhBAiSlWFVL4odmLV6zpkR9sjSadbIYQQIspUhEKsLPNgUhSmJNkxyAK8EliEEEKIaKJpGp8VOzk/NQGdrGNXo2PXLwkhhBBRSK8oElZ+RQKLEEIIEUUURWFcQhz/Kyrr8EOZjySBRQghhIgyKSYjZ6fE82Wpk3yfP9LFiQoSWIQQQogopFcULu2czBZ3ldS0IIFFCCGEiGqnJ9rJ9lRFuhgRJ6OEhBBCiCijaRoryzz4NA0FGJsQF+kiRZwEFiGEECLKLC51McphxWGUt+lDpElICCGEiDIKSFj5FQksQgghRJQxyBwsR5HAIoQQQkSZgKZFughRRwKLEEIIEUV+dFcyKC4m0sWIOhJY6kFyrhBCiNaS6/XT2WKKdDGijvToqQdpSRRCCNGcfKrKqjIPGoffYzRABUY6rJErWBSTwCKEEEK0Ek3TWOuswBUMcXqiHaNOPhLXlwQWIYQQohX87KnilyofoxxxJJvk7beh5CcmhBBCtKCDgSCryjz0j7MwIyU+0sVpsySwCCGEEC0gpGl8e9CNQVGYkeJAkblVmkQCixBCCNGMNE1jRZkHr6pyWnwcVoM+0kVqFySwCCGEEM2k0BdgdbmHiYk24mVq/WbVoHlYnn/+eYYMGYLdbsdutzNmzBg+//zzmsdzcnKYPXs2KSkp2O12LrzwQgoLC497zvvvvx9FUWrdsrKyGnc1QgghRASENI0vS5zkev2cm5ogYaUFNCiwZGRk8Oijj7Jhwwa+//57Jk2axKxZs/jpp5+oqKhg6tSpKIrC0qVL+e677/D7/cycORNVVY973oEDB5Kfn19zW7lyZZMuSgghhGgtOZVePi92Mj7BxgiZQ6XFNCgCzpw5s9b9Rx55hOeff541a9Zw4MAB9uzZw6ZNm7Db7QC88sorJCQksHTpUqZMmXLsQhgMpKWlNaL4QgghRGRomsaSg25STQbO7hQf6eK0e42emj8UCrFo0SIqKioYM2YMPp8PRVEwm801+1gsFnQ63QlrTHbu3Ennzp3p2bMnc+bMYd++fcfd3+fz4XK5at2EEEKI1lLsD/BRcTmjHFYG22IjXZwOocGBJTs7m7i4OMxmM9dddx0ffPABAwYMYPTo0VitVu666y4qKyupqKjg9ttvJxQKkZ+ff8zzjRo1ioULF/LFF1/w/PPPs3v3bsaNG4fb7T7mMfPmzcPhcNTcMjMzG3oZQgghRKPsrfLxo7uKWZ0SsMkIoFbT4MDSr18/Nm/ezNq1a7n++uu5/PLL2bp1KykpKbz77rt8/PHHxMXF4XA4KC8vZ9iwYeh0x36aM888kwsuuIAhQ4Ywbdo0PvvsM8rLy3nnnXeOeczcuXNxOp01t9zc3IZehhBCCNFgBwNBdlR4mZxkj3RROpwGd2M2mUz07t0bgOHDh7N+/Xqeeuop5s+fz9SpU8nJyaGkpASDwUB8fDxpaWn07Nmz3uePj4+nb9++7Nq165j7mM3mWk1PQgghREurDKl8e9DNLOmvEhGN7sNyiKqq+Hy+WtuSk5OJj49n6dKlFBUVcc4559T7fB6Ph5ycHNLT05taNCGEEKJZlAeCfFXi5JxO8TJjbYQ0qIZl7ty5nHnmmXTt2hW3282bb77JsmXL+PLLLwFYsGAB/fv3JyUlhdWrV3PzzTdz66230q9fv5pzTJ48mdmzZ3PjjTcCcPvttzNz5ky6detGXl4e9913H3q9nksuuaQZL7NptEgXQAghRKvxqyrrnBUEVK3m779ZpzBLwkpENSiwFBUVcdlll5Gfn4/D4WDIkCF8+eWXnHHGGQBs376duXPncvDgQbp3784999zDrbfeWusch5qMDtm/fz+XXHIJpaWlpKSkMHbsWNasWUNKSkozXF7zkP+eQgjRMWxxV5LnCzAuwUaMvsmNEKIZKZqmtfkKBJfLhcPhwOl01swB05y+KXVxunSwEkKIdm1NuYc4vY5BMky51TTk/VvmDhZCCBF1NE1jrbMCVzCEQVHQCE9/PyY+rkWGEi8/6KZbjInuMTKgI1pJYBFCCBFV8n1+1jsrGZsQR+IRa/KENI3vyjyYdAqj4+Maff6gqlGpqtj0OhRFIaBq+FRVwkqUk8AihBAiaqwr9xACzqlj6LBeURifaGOrp4rdlT56xNY/YOz3+sl2V2LW6dApYNXr8QRDQHhgxYREW/NcgGgxEliEEEJElKZpbHBVUhoIMiAuhkyL6bj7D4iL4asS5wkDiysYYnW5Bx2QYTExPdkho3zaMAks9dDmeyULIUQUCqoaK8vd+FWNYXZrg1Y6NioKVSG1zpE8hb4Am1yVxBl0nJFkRychpV2QwFIP8l9dCCGa1+5KH1srqpiQYCOuEZ1oxyXY+F9RGSPj40gyGnAFQ+yt8lEWCNHJZGBasl1qU9oZCSxCCCFaVa7XT74vwIyU+Eafw6BTOC81gW0VXvZ7/cQb9AyIi5HFCNsxCSwn0A6mqRFCiKiys8LL6c3QyVVRFPrHxTRDiURbINP4nYAGSK2iEEI0n/DfVfnDKhpGAssJqBropBeLEEIIEVESWE5AA3SSV4QQQoiIkj4sJ6DKoGYhhDgmTdPYWeljv9cfbuo54jGF8Ic+s05hhMOKWadD0zSpsxaNIoHlBDRpEhJCiDoV+gKsKvcwzB7LxERbrflONE2r6adSGVJZW15BQNMIqBpj4us/34oQh0hgOQEV6XQrhBB1WVHm5vzUhDo70B65LVavY7xMfS+aSPqwnICGVF8KIURd7Aa9jPYRrUYCy4lo8kMSQoi6JBgNlPiDkS6G6CCkSegEwk1C8glCCCEAtlVUkecNoAF6BZKMMrOsaB0SWE5AQ2pYhBAC4Ad3JSZFYVKSPdJFER2QvBefgCpD8IQQgpCmkVvll6nwRcRIDcsJaCDLNQshOrTFJU4URWGK1KyICJLAcgLhJiFJLEKIjksFpklYEREmTUInoGoyD4sQomNTgIpgKNLFEB2cBJYT0NCO+UPaU+VjaamLlWVuXPLLLIRopyYn2fmu3BPpYogOTpqETkDTju7ComkaX5Q46R5jZlKSHW9IZbO7khJ/kClJdix6yYFCiPZDryjsqfJFuhiig5PAcgLh1ZoPR5agqvFRcTlnJNmxGcLzD1j0OkbHxxHSND4qKmdykh27oeXmJijwBXAFQ/SIMWOUpaSFEK2gT6wl0kUQHZwElhNQq6fm31ZRxQFvAK+qMiPFgVl3dC2KXlE4t1M8nxY7GRMfR5KpeX+8Bb4A3zsr6BZjwm7Qs6LMjUmnMDZB1ugQQrQsWbdeRJoElhOw6/Wsc1Zwsi2WyfXoJa8oCmd3iuerEiexeh2ZFhPxBj0OY/1+1FUhlfXOCtLNRvpYD3+i2VHhJdfr5+xO8TXbusWY2e/1s6bcw+j4uAZfmxBC1FdIk8giIksCywlYDXpmdUpo8HFTkx1UhlTyfH52VPoo9nvob42hR6z5mMfs9/rZ5KpkWrKdPF+AxSVO9IqCBnSLMdUZmDIsJrZXeBtcPiGEqI/KkMq3B930j5MmIRFZElhaUKxeR+8j2n2z3ZV8XlxOpsVEF4uJskCIvVU+NMLzHKSYDMysrkHpHmOme8yxw40QQjS3N/NLSTMZUQkPIQ1qGrF6HZOSbJjqaAYXojVJYGlFg22xDLbFku/zs7vSR6LJwIREW61OvUIIESlpJqOsEySilkTmCEg3mxjmsNI9xtwsYaVbjInbtu0jqEobsxCi8SpDKn5VjXQxhKiT1LC0A71jLTzUuwvflrmPekwDOpkMZFljZAi0EOK4piU7+LLEyYC4GHoep7+dEJHQoBqW559/niFDhmC327Hb7YwZM4bPP/+85vGcnBxmz55NSkoKdrudCy+8kMLCwhOe99lnn6V79+5YLBZGjRrFunXrGn4lHZzVoGdSkv2o2+QkO6kmI9+Vu/mqxMlWT1WkiyqEaIJCX4B15R6WHXThDASb9dxGXXiUY2UoxKfF5VSEZAZvET0aFFgyMjJ49NFH2bBhA99//z2TJk1i1qxZ/PTTT1RUVDB16lQURWHp0qV89913+P1+Zs6ciXqcKsa3336b2267jfvuu4+NGzdy0kknMW3aNIqKipp8cSKsk9nIxEQ7U5MdxOh0fFRUjkeWEhCizfm8uJwCf4ABcTGMS7CxtcLLtwePrlltqkG2WKYnO1hc4pJlR0TUUDStaYPrExMTeeyxx8jMzOTMM8+krKwMuz3cacvpdJKQkMBXX33FlClT6jx+1KhRnHLKKTzzzDMAqKpKZmYmN910E3fffXedx/h8Pny+w9NEu1wuMjMzcTqdNc8tjk3TNP5XVM7UZAexsoyAEG1CgS9AoT/ASbbYWtt3V/qoCIUY9KvtzUHTNBaXupia7Gj2cwsB4fdvh8NRr/fvRr9bhUIhFi1aREVFBWPGjMHn86EoCmbz4XZPi8WCTqdj5cqVdZ7D7/ezYcOGWmFGp9MxZcoUVq9efcznnjdvHg6Ho+aWmZnZ2MvokBRFYWaneJYfdEW6KEKIeqgKqawsczMkLuaox3rEmtlV6WNNuYdvSl0sLXWx2VVJEz+LAvBduYde0pdFRIkGB5bs7Gzi4uIwm81cd911fPDBBwwYMIDRo0djtVq56667qKyspKKigttvv51QKER+fn6d5yopKSEUCpGamlpre2pqKgUFBccsw9y5c3E6nTW33Nzchl5Gh6dXFAwynFqIqLar0stXJU7WOj3M6pSAcozf2enJDgbbYji9uu9aZ7OR/xaW4WvCiB+/qhLUNHrJGkIiSjQ4sPTr14/Nmzezdu1arr/+ei6//HK2bt1KSkoK7777Lh9//DFxcXE4HA7Ky8sZNmwYumaecMhsNtd0/D10Ew1nM+hxS/u0EFGnxB/k46JyFMKzZk9MtB93lJ9Fr8OqP7zgaiezkXM7JfBJUXmjpzvY5KpkcFzzNzMJ0VgNHtZsMpno3bs3AMOHD2f9+vU89dRTzJ8/n6lTp5KTk0NJSQkGg4H4+HjS0tLo2bNnnedKTk5Gr9cfNZKosLCQtLS0RlyOaIgRditfl7qYniLt00JEk1XlHmamOI5Zo1IfBp3CjJR4Fpc6OTMlvsHHu4KhZl/AVYimaHLVh6qqtTrAQjiIxMfHs3TpUoqKijjnnHPqPNZkMjF8+HCWLFlS63xLlixhzJgxTS2aOAGDTqFnrJlVZZ5IF0UIUW1NuYdh9tgmhZVDLHodfawWNrsqj7ufJxhiq6eKqtDhJqQBcTF8XlyOKoseiijRoMAyd+5cvv32W/bs2UN2djZz585l2bJlzJkzB4AFCxawZs0acnJyeP3117ngggu49dZb6devX805Jk+eXDMiCOC2227jpZde4pVXXuHnn3/m+uuvp6KigiuvvLKZLlEcT1+rhQyLka9KnM3SSU8I0XjbKqqoCKlkWEzNds7esRZ8qkqe11/n4xtdFax3VpBg1LOm3MPyg240TaOLxcT4BBv/KyrnYDPP9yJEYzSovq+oqIjLLruM/Px8HA4HQ4YM4csvv+SMM84AYPv27cydO5eDBw/SvXt37rnnHm699dZa5zjUZHTIRRddRHFxMffeey8FBQUMHTqUL7744qiOuKLldI0xYzPo+ai4nHNS4pvlk50QomE0TWNxiYv/l5HS7OfubDGx1+un86+CUE6lF4OicHr1+kHpZhMHA0G+KHFi1OnoYjZiM+hxBkIkGqV5SERWk+dhiQYNGcctjs0TDLG41MWsTvGyIKMQrUjTND4udnJ6og2bQX/iAxpgXXm4yXdkfNxRjy076GJ8Qt0LsGqaRp4vQLxBj7WZyyTEIa0yD4tof+IMeqYm2/lfkbRbC9FaXMEQL+QWMzYhrtnDyvKDbsqCoTrDCoA7qHKsjyaKotDFYpKwIqKGBBZRi1WvZ2qSnaUtMN23EOJoa8o9XJeZ0iJNLvk+P1OSjv7UWhEK8XFRebN17hWiNUijpDiK1aA/5qcuIUTzUqDFQsM5nRL4osRJotHACLuVbRVV5PsCxOp1TE92yAruok2RwCLqJFVvQrSOFJORYn+AFJOx2c8dq9cxIyUeVzDE6upp9ge3wJpDQrQGCSyiTtKDRYjW4VNVTC3cLGM36BmfaGvR5xCipckHaVEnqSgWonU4gyEcMmRYiBOSwCLq1Pgl04QQ9fVdmZuuMc03SZwQ7ZnEelGn3rFmfnBXcpK0dwvRrFzBEBtdFVSFVIbaY0k3S2ARoj4ksIg6dYsxU+KsYFWZhzHxVhn6KEQTbXJVkufzk2I0cGp8HKZmXsVeiPZOAos4puEOK8X+AN8cdNfqhKsA6WYj3WPMxOjlj64Qx3MwEGRlmYcR9lhOtkuNpRCNJYFFHFeKycikpNrDLTVNI98XYIOrAp8ajjKxeh0n22Kx1DPAaJpGgT/ANo+3Vhgy6xRGOeIwyPwQop1YV17BzBSH1FIK0UQSWESDKYpCZ4up1kJqnmCID4vKSDYZUQC9ArE6HbF6HbF6PX5N5YA3UOs86WYj4xJstcJJRTDEsjI3e6t8XJiW2OxTlQvR2hSl5SaGE6IjkcUPRYsIaRpVIZXKkEpFSMWoU+hiNtb7D7c7GOJnTxWeUHi80qH/pAZFYZg9VoKMaDOK/QE2uirpbDbKpG1C/EpD3r+lhkW0CL2iEGfQE9fIYGEz6OtcsM2vqnzvrKRKVZlcxxoponVUhVQ2uyupCh0eAO8Khkg2GTgtPk5qFI6QYjIyLdnB9gov2e5KCS1CNJIEFtGmmHQ6Tk2II9/nZ6OrgmF2a6SL1KFscVeS5wsQo9MxzB571Eq+Jf4ga50VjD7G6sAdWT+rhX/vL5bAIkQjSWARbVK62cQWd1Wki9HubK/wst/rB6oX5SPcHBfSNDRgQFwMg47zhptsMvCDW6YdPJb3Cso4M9lBF4vMvSJEQ0lgEW1W9xgznxeXMzbBJn1amsGOCi+VoaY1tWnVwUbU7cn+mWyv8EpgEaIRJLCINquP1UKvWDNryiuoUsOf6vUKjHbE1Xt4dWP5VJVfKn0U+YMYFYXuMbVHTbU1+71+Dnj9nN7EfkHbK730jTU3U6nanyxrDPt/NVpOCFE/ElhEm6ZTFE5NONxfIqBqfFhUxm9SE5qt42dFKMSOCh8HA8GabWadQo8YM31iLfg1jd1VPraUONErChN+NVQ7mnmCIdY6K4jR6ZocVgAOeAPSGfo48rx+UkzyZ1eIxpDfHNGuGHUK4xNsZHuqGNLIzo0hTWN1uQdv9aR4Fp1Cf2sMQ20xdYYgAwoD42IYGBeDN6TyVamTPrEW+lgtTbqWlqBpGvu8fnIqfQQ1jTi9vlkDVqbFJGtQHcdPnirOSHZEuhhCtEkSWES7k2o28qO7EmwNP1bVND4oDHeM/PUImPqw6HWclRLP9govS0tdqBxeEl2ngN2gJ8VkJN1kbPVamJxKLz97vGTFWZiYaEPXAkOP+1otbHRVkFPppVds9AW2SEs3G8n1+slsw82HQkSKBBbRLln1en6p9NEjxtSgpqEf3FVMSLQ1KqwcqZ/VQr9f1bCENA1XMESxP8iqcg9BTSOkaSiKwsm2WJJasKmg2B/ggDfA2Z3iW+w5Dhlmt/JViVMCSx0G2WL5ssQpgUWIRpDAItqlUxPi2F7h5ZuD7lrbDYrCqHgr5mOslFviD7TYAnV6RSHBaCDBaKDvEWEmpGlsclXyvauCFJOBk22xzT7x2kZXJVNbsW/JoeY0cTSrXkdZIEiCUf78CtEQ8hsj2q26ajkqQiHWllfgU1U0oHeshZ7Vo1pyvf6IrD6tVxRGOMIT4BX6AnxQVM7MlHiMzdRklO2ubNCyCM0hTlbxPqYx8XEsP+hmknROFqJBJLCIDsWq1zM+8XDnll2VXr4udaEAnUwGxiY0ouNLM0o1G5mR4mBVuYcJibXLUhEM8V25BwiHHAjXzvSMNZNuMqIS7oPjVTW81cO8t3qqyLSYjjvZW0uI0+twBUPYZX6co+gVhVDbX8JNiFYngUV0aL1jLfSOsr4WZp0OdzBUa1u+z8/XpS7mpCcd1Vn2l0ofWzxV6BQFhfCopkNNXtOSHS3SufZEBsbFsNldyWkRDoBCiPZDAosQUWikw8pnxeVY9Xq8qordoOfSzsl17tsz1lzTrBUtrAY9rl+Fro4gp9LL3io/Oyq8TEqy0yPGXKtpryIU4tuDbgbExUSwlEK0TYqmtf26yYYsTy1EWxJUNRTlcBNQW1LsD7C6vIIzkx3N1h8nWh261kFxMfSMNaNqGvu9fnZX+Ws1/5h0CqMcce3+5yFEfTXk/VtqWISIYm1lxty6pJiMTEu2s/SgC5tez+h4a0Sap1raT54qfvZU8Zu0xJptOkWha4yZrjHRVfMlRFsmgUUI0WLMOh3Tkh2UB4IsKXWhAZ3NRnrEmtG08ErQRkXBpFPabJgp8gU4PzUh0sUQot2TwCKEaHHxRkPNlPT5Pj8/uqvQE66J8KkqAU1D1SBYvdrzybZYOpmNES1zfWnQqkPGheioJLAIIVpVutlEuvnYM71qmsYmdyXrXRWMiY8jUSZYE0JweJmTenn++ecZMmQIdrsdu93OmDFj+Pzzz2seLygo4NJLLyUtLQ2r1cqwYcP473//e9xz3n///SiKUuuWlZXVuKsRQrR5iqIwzG5lRko8q8o8eKJ4tFFA1fDLrL5CtIoGBZaMjAweffRRNmzYwPfff8+kSZOYNWsWP/30EwCXXXYZ27dv56OPPiI7O5vzzjuPCy+8kE2bNh33vAMHDiQ/P7/mtnLlysZfkRCi3ZiR4uCrUhf+6onwos16ZwXjEuIiXQwhOoQGBZaZM2dy1lln0adPH/r27csjjzxCXFwca9asAWDVqlXcdNNNjBw5kp49e/KXv/yF+Ph4NmzYcNzzGgwG0tLSam7JyXXPN3GIz+fD5XLVugkh2h9FUZiZEs9nxU7KAsFIF+coXlVt8kKZQoj6afSCH6FQiEWLFlFRUcGYMWMAOPXUU3n77bc5ePAgqqqyaNEivF4vEydOPO65du7cSefOnenZsydz5sxh3759x91/3rx5OByOmltmZmZjL0MIEeWMOoVZneLZ6KpkvbMi0sWpJdj2p7ESos1o8MRx2dnZjBkzBq/XS1xcHG+++SZnnXUWAOXl5Vx00UV89dVXGAwGYmNjeffdd5k6deoxz/f555/j8Xjo168f+fn5PPDAAxw4cIAtW7Zgs9U9rbfP58Pn89Xcd7lcZGZmysRxQrRzhb4AP7or0YDBtpjjdt5taT5VZUWZhymyiKEQjdaQieMaHFj8fj/79u3D6XTy3nvv8e9//5vly5czYMAAbrrpJtatW8ff/vY3kpOT+fDDD/nXv/7FihUrGDx4cL3OX15eTrdu3XjiiSe4+uqr63WMzHQrRMeiaRrZnir2Vvk5O8URkWHFK8vcDLNbiZWVqYVotBYNLL82ZcoUevXqxZ133knv3r3ZsmULAwcOrPV47969eeGFF+p9zlNOOYUpU6Ywb968eu0vgUWIjskdDPGDu7LVV9lWNY3Pip2c3Sm+VZ9XiPamIe/fTf5ooKoqPp+PysrK8Al1tU+p1+tRG9DD3+PxkJOTQ3p6elOLJoRo52wGPd5WHlZcFgjyfmEZpyfKStRCtKYGzcg0d+5czjzzTLp27Yrb7ebNN99k2bJlfPnll2RlZdG7d2+uvfZaHn/8cZKSkvjwww9ZvHgxn3zySc05Jk+ezOzZs7nxxhsBuP3225k5cybdunUjLy+P++67D71ezyWXXNK8VyqEaLc0TWtys1CBL8DPnipUqmevpfYnOq365jDoOS81oc0uJSBEW9WgwFJUVMRll11Gfn4+DoeDIUOG8OWXX3LGGWcA8Nlnn3H33Xczc+ZMPB4PvXv35pVXXqnplAuQk5NDSUlJzf39+/dzySWXUFpaSkpKCmPHjmXNmjWkpKQ00yUKIdqzk22xrC6v4NQGzIdS6g/yk6eqZikAgFSTgfGJtja5MrYQHUGT+7BEA+nDIkTHtrLMjVFRGOGwHhU4NE0j1+tnV6UPlXDNSYJBzyBbDCaddJgVIpIa8v4ti3QIIdq8sQk2SvxBVpS5CWnhUHKkDIuJiYk2acYRog2TwCKEaBeSTQYmJkoNqxDtldSHCiGEECLqSWARQgghRNSTwCKEEEKIqCeBRQghhBBRTwKLEEIIIaKeBBYhhBBCRD0JLEIIIYSIehJYhBBCCBH1JLAIIYQQIupJYBFCCCFE1JPAIoQQQoioJ4FFCCGEEFFPAosQQgghop4EFiGEEEJEPUOkC9AcNE0DwOVyRbgkQgghhKivQ+/bh97Hj6ddBBa32w1AZmZmhEsihBBCiIZyu904HI7j7qNo9Yk1UU5VVfLy8rDZbCiKgsvlIjMzk9zcXOx2e6SLJ+ogr1H0k9co+slrFN3k9TkxTdNwu9107twZne74vVTaRQ2LTqcjIyPjqO12u13+k0Q5eY2in7xG0U9eo+gmr8/xnahm5RDpdCuEEEKIqCeBRQghhBBRr10GFrPZzH333YfZbI50UcQxyGsU/eQ1in7yGkU3eX2aV7vodCuEEEKI9q1d1rAIIYQQon2RwCKEEEKIqCeBRQghhBBRTwKLEEIIIaKeBBYhhBBCRL12F1h27NjBrFmzSE5Oxm63M3bsWL755pta+yiKctRt0aJFESpxx1Of1+iQ0tJSMjIyUBSF8vLy1i1oB3ai16i0tJTp06fTuXNnzGYzmZmZ3HjjjbIAaSs50evzww8/cMkll5CZmUlMTAz9+/fnqaeeimCJO576/J374x//yPDhwzGbzQwdOjQyBW1D2l1gOfvsswkGgyxdupQNGzZw0kkncfbZZ1NQUFBrvwULFpCfn19zO/fccyNT4A6ovq8RwNVXX82QIUMiUMqO7USvkU6nY9asWXz00Ufs2LGDhQsX8vXXX3PddddFuOQdw4lenw0bNtCpUydef/11fvrpJ+655x7mzp3LM888E+GSdxz1/Tt31VVXcdFFF0WolG2M1o4UFxdrgPbtt9/WbHO5XBqgLV68uGYboH3wwQcRKKGo72ukaZr23HPPaRMmTNCWLFmiAVpZWVkrl7ZjashrdKSnnnpKy8jIaI0idmiNfX3+8Ic/aKeffnprFLHDa+hrdN9992knnXRSK5awbWpXNSxJSUn069ePV199lYqKCoLBIPPnz6dTp04MHz681r433HADycnJjBw5kv/85z9oMn9eq6jva7R161YefPBBXn311ROu4CmaV0N+jw7Jy8vj/fffZ8KECa1c2o6nMa8PgNPpJDExsRVL2nE19jUSJxDpxNTccnNzteHDh2uKomh6vV5LT0/XNm7cWGufBx98UFu5cqW2ceNG7dFHH9XMZrP21FNPRajEHc+JXiOv16sNGTJEe+211zRN07RvvvlGalhaWX1+jzRN0y6++GItJiZGA7SZM2dqVVVVEShtx1Pf1+eQ7777TjMYDNqXX37ZiqXs2BryGkkNS/20iY+ud999d50dZY+8bdu2DU3TuOGGG+jUqRMrVqxg3bp1nHvuucycOZP8/Pya8/31r3/ltNNO4+STT+auu+7izjvv5LHHHovgFbZ9zfkazZ07l/79+/O73/0uwlfVvjT37xHAv/71LzZu3Mj//vc/cnJyuO222yJ0dW1fS7w+AFu2bGHWrFncd999TJ06NQJX1n601Gsk6qdNrCVUXFxMaWnpcffp2bMnK1asYOrUqZSVlWG322se69OnD1dffTV33313ncd++umnnH322Xi9XlmkqpGa8zUaOnQo2dnZKIoCgKZpqKqKXq/nnnvu4YEHHmjRa2mvWvr3aOXKlYwbN468vDzS09ObtewdQUu8Plu3buX000/n//2//8cjjzzSYmXvKFrqd+j+++/nww8/ZPPmzS1R7HbDEOkC1EdKSgopKSkn3K+yshLgqD4POp0OVVWPedzmzZtJSEiQsNIEzfka/fe//6WqqqrmsfXr13PVVVexYsUKevXq1Yyl7lha+vfo0GM+n68Jpey4mvv1+emnn5g0aRKXX365hJVm0tK/Q+L42kRgqa8xY8aQkJDA5Zdfzr333ktMTAwvvfQSu3fvZsaMGQB8/PHHFBYWMnr0aCwWC4sXL+Zvf/sbt99+e4RL3zHU5zX6dSgpKSkBoH///sTHx7d2kTuc+rxGn332GYWFhZxyyinExcXx008/cccdd3DaaafRvXv3yF5AO1ef12fLli1MmjSJadOmcdttt9UMpdXr9fV6wxVNU5/XCGDXrl14PB4KCgqoqqqqqWEZMGAAJpMpQqWPYpHrPtMy1q9fr02dOlVLTEzUbDabNnr0aO2zzz6refzzzz/Xhg4dqsXFxWlWq1U76aSTtBdeeEELhUIRLHXHcqLX6Nek023rO9FrtHTpUm3MmDGaw+HQLBaL1qdPH+2uu+6S16iVnOj1ue+++zTgqFu3bt0iV+gOpj5/5yZMmFDn67R79+7IFDrKtYk+LEIIIYTo2NrEKCEhhBBCdGwSWIQQQggR9SSwCCGEECLqSWARQgghRNSTwCKEEEKIqCeBRQghhBBRTwKLEEIIIaKeBBYhhBBCRD0JLEIIIYSIehJYhBBCCBH1JLAIIYQQIur9f9bBuZI+8ujgAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.\")\n",
    "if len(skipList) > 0:\n",
    "    print(\"Lets plot them and their parent counties\")\n",
    "    for t in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(t,tractGeom[t],6)\n",
    "    plotPoly(origMAP,0.2)\n",
    "    for c in range(nCounties):\n",
    "        if isAlteredCounty[c]:\n",
    "            plotPoly(countyGeom[c])\n",
    "    plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 7 units will be axed\n",
      "here is the proposed skipList [8197, 4634, 3730, 4458, 840, 2974, 1008]\n",
      "here is the final skipList [8197, 4634, 3730, 4458, 840, 2974, 1008]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 3\n",
      "removing coastal units from countyNo 17\n",
      "removing coastal units from countyNo 21\n",
      "removing coastal units from countyNo 42\n",
      "removing coastal units from countyNo 46\n",
      "removing coastal units from countyNo 47\n",
      "removing coastal units from countyNo 61\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We appear to have some populated islands.  Separate out the main state geom in next block.\n",
      "we will scale longitudinal distance by 0.76347\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dbc5333c-67fc-4eaa-94a3-d78003e5f167",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2ad7f54e-0341-4025-b402-adfcf3dc7691",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For OH my input file says to cut out 0 districts out of 15\n",
      "There were no cut districts in OH\n"
     ]
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "\n",
    "CCBlistString = trimDF[\"CCB counties\"][DFrow]\n",
    "CCBlist = ast.literal_eval(CCBlistString)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 11799448.0 we ignore 0.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 7 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 15 rather than original 15\n",
      "Each district will be drawn to house 786629.867 = 1/ 15 of non-cutout state pop 11799448.0 vs original= 11799448.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "here is the OH map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 8 #11  #reduce for TX\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 5 #7 #reduce for TX\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "the max LAT-scaled distance between counties is 3.86947\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter (2.5 for OH), or 0 to accept 3.86947  2.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  80 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "collapsedCountyList = list()  #VA has independent cities that we will reassign to parent counties\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter (2.5 for OH), or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "398fbc6d-3b05-4c1f-87cb-72d11cdd98bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "useCCBlist = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will use the cutNClip csv list of corner-county bundles\n",
      "Our final pops and fused-county lists are...\n",
      "97574.0 [3]\n",
      "58240.0 [43]\n",
      "37102.0 [85]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts  #this block modified from VRA-HD-MO\n",
    "if useCCBlist:\n",
    "    print(\"We will use the cutNClip csv list of corner-county bundles\")\n",
    "    nCCBs = len(CCBlist)\n",
    "    CCBpop, CCBgeom = [0.]*nCCBs, [countyGeom[L[0]] for L in CCBlist]\n",
    "    for i, L in enumerate(CCBlist):\n",
    "        for cc in L:\n",
    "            CCBpop[i] += countyPop[cc]\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[cc])\n",
    "    passThruList, rejectList = list(), list()\n",
    "else:\n",
    "    maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "    maxCCBpop = maxCCBratio * aDP\n",
    "    print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "    CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "    nFuses = 0\n",
    "    for c in set(has1neighborCs).difference(set(collapsedCountyList)):\n",
    "        print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "        if countyPop[c] > maxCCBpop:\n",
    "            plotPoly(countyGeom[c])\n",
    "            plotCenter(c,countyGeom[c])\n",
    "            nc = neighborCountyList[c][0]\n",
    "            plotPoly(countyGeom[nc],0.5)\n",
    "            plotPoly(MAP,0.2)\n",
    "            print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "            print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "            fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "            if fuseChoice == 0:\n",
    "                keepUnfused = True\n",
    "                break\n",
    "            elif int(fuseChoice) == 1:\n",
    "                CCBlist.append([c])\n",
    "                CCBpop.append(countyPop[c])  \n",
    "                hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "            elif int(fuseChoice) == 2:\n",
    "                CCBlist.append([c,nc ] )\n",
    "                CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "                hasFewNeighborCs.append(c)\n",
    "                passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "        else:\n",
    "            hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "            \n",
    "    for c in set(hasFewNeighborCs).difference(set(collapsedCountyList)):\n",
    "        print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "        if countyPop[c] < maxCCBpop :\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])\n",
    "            CCBno = CCBlist.index([c])\n",
    "        if c in passThruList:\n",
    "            CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "        if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "            CCBstarter = c\n",
    "            canAdd = True\n",
    "            while canAdd:\n",
    "                nbrSet = set()\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "                nPop = [countyPop[cc] for cc in nbrSet]\n",
    "                nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "                idx = np.argsort(nDist)\n",
    "                nbrList, newList = list(nbrSet), list()\n",
    "                for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                    cc = nbrList[idx[i]]\n",
    "                    if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                        newList.append(cc)\n",
    "                        CCBlist[CCBno].append(cc)\n",
    "                        CCBpop[CCBno] += countyPop[cc]\n",
    "                        #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "                if newList == list():  #no eligible neighbor counties found; stop\n",
    "                    canAdd = False\n",
    "                    for cc in CCBlist[CCBno]:\n",
    "                        plotPoly(countyGeom[cc])\n",
    "                        plotCenter(CCBno,countyGeom[cc])\n",
    "    plotPoly(MAP,0.2)\n",
    "    plt.show()\n",
    "                        \n",
    "    print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "    plotPoly(MAP,0.15)\n",
    "    for L in CCBlist:\n",
    "        print(CCBlist.index(L),\" \",L)\n",
    "        for c in L:\n",
    "            plotPoly(countyGeom[c])\n",
    "            plotCenter(c,countyGeom[c])\n",
    "            for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "                plotPoly(countyGeom[cc],0.4)\n",
    "                plotCenter(cc,countyGeom[cc],8)\n",
    "    plt.show()\n",
    "    rejectList = list()\n",
    "    print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "    print(\"You may suggest [ [3], [43] , [85] ] \")\n",
    "\n",
    "    for i,L in enumerate(CCBlist):\n",
    "        if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "            print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "            isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "            if not (isOK == 1 or isOK == str(1)) :\n",
    "                if isOK == 0 or isOK == str(0) :\n",
    "                    rejectList.append(L)\n",
    "                else:\n",
    "                    notGood = True\n",
    "                    while notGood:       \n",
    "                        Lnew = ast.literal_eval(isOK)        \n",
    "                        if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                            notGood = False\n",
    "                        else:\n",
    "                            print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                    CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                    CCBlist[i] = Lnew.copy()\n",
    "    for L in rejectList:\n",
    "        del CCBpop[ CCBlist.index(L)]\n",
    "        del CCBlist[CCBlist.index(L)]\n",
    "    stillAdding = True\n",
    "    while stillAdding:\n",
    "        addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "        if int(addMore) != 1:\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                print(\"OK, we'll stop adding corner clusters\")\n",
    "                stillAdding = False\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                        for L in CCBlist:\n",
    "                            if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                                notGood = True\n",
    "                                print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                                isOK = input(\"Try again here \")\n",
    "                        if notGood == False:\n",
    "                            CCBlist.append(Lnew)\n",
    "                            CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "    print(\"Our final pops and fused-county lists are...\")\n",
    "    allFusedCounties = list()\n",
    "    CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "    CCBcp = list()\n",
    "    for i, L in enumerate(CCBlist):\n",
    "        CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "        print(CCBpop[i],L)\n",
    "        pops, CPs = list(), list()\n",
    "        for c in L:\n",
    "            if c == L[0]:\n",
    "                CCBgeom[i] = countyGeom[c]\n",
    "            else:\n",
    "                CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "            allFusedCounties.append(c)\n",
    "            pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "            CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "            plotPoly(countyGeom[c])\n",
    "            plotCenter(i,countyGeom[c])\n",
    "    plotPoly(MAP,0.2)\n",
    "    plt.show()\n",
    "    \n",
    "    for i,L in enumerate(CCBlist):\n",
    "        if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "            print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "            isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "            if not (isOK == 1 or isOK == str(1)) :\n",
    "                if isOK == 0 or isOK == str(0) :\n",
    "                    rejectList.append(L)\n",
    "                else:\n",
    "                    notGood = True\n",
    "                    while notGood:       \n",
    "                        Lnew = ast.literal_eval(isOK)        \n",
    "                        if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                            notGood = False\n",
    "                        else:\n",
    "                            print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                    CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                    CCBlist[i] = Lnew.copy()\n",
    "    for L in rejectList:\n",
    "        del CCBpop[ CCBlist.index(L)]\n",
    "        del CCBlist[CCBlist.index(L)]\n",
    "    stillAdding = True\n",
    "    while stillAdding:\n",
    "        addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "        if int(addMore) != 1:\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                print(\"OK, we'll stop adding corner clusters\")\n",
    "                stillAdding = False\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                        for L in CCBlist:\n",
    "                            if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                                notGood = True\n",
    "                                print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                                isOK = input(\"Try again here \")\n",
    "                        if notGood == False:\n",
    "                            CCBlist.append(Lnew)\n",
    "                            CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15732\n",
      "We defined a total of 5 unit (but not corner-cluster) counties in the map\n",
      "excluding the cut-out districts and collapsed counties\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in set(uncutCountyList).difference(set(collapsedCountyList)):\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map\")\n",
    "print(\"excluding the cut-out districts and collapsed counties\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "706 fragmented VTDs out of 8941\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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0tDS+v7m5Gc3NzfHakf3796OoqAiTJ09GSUkJgN7gs3r1alx33XUAgJtvvhmrVq3ClClT0NjYiE2bNkFRFKxZs2bEb5CIst94zYUuM4Z/9EQw2+cZk/4z6dJmmOg0LQRUBQuKCjJdHKKslfaebA899FBCh9iPfvSjAIBHHnkEX/rSlwAAdXV1aG9vjx9z/PhxrFmzBh0dHSgvL8eFF16IV199FeXl5ekuHhFlqYCrt9PoobCOca4zO5s6zfGogYhlo9ytspMqURpIQvTNpJC9gsEgAoEAurq64PePzuRS9WF90MmwiGjstBsxtBkm5vg8YzoHSU/MwqmYhZgt4JYluGUJLkmCIknoMGM43W8WYcvC9AIPCrjYI+WI0boHpnL/zp+xgkSUM8rcKkpcCg6HdajSmaNi0uWkGUOnaUG3bXhkGT5FRqXbBVUCTCGg2wKmEDBtG9UeN5QsaqoiyjYMLESUlWRJwiyfB7pt43A4CglAoaKgYoSjiSwhUB/pnZiyxKWeMWFeH7ckwc0KFKIxw8BCRFlNk2XMPL2GTU/MwqFQFIokYbxbRaGa/MjFTjOGNqN34cYZ3vQsMUBE6cPAQkQ5o1BVMEtVIIRAqxFDk27CLUuYPMDCja26iW7LAgD4VYWdY4kcjIGFiHKOJEmo0Fyo0HoXbjwaNfD+4QV9/yx39z/lPRE5DwMLEeU0lyxhqpcj/IiyHbuMERERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsCSJs3QTERFlDgNLkt4/SyYRERGNLQYWIiIicjwGFiIiInI8BhYiIiJyPAYWIiIicjwGFiIiInI8BpYkcVgzERFR5jCwEBERkeMxsCSJ87AQERFlDgMLEREROR4DCxERETkeAwsRERE5HgMLEREROR4DS5I4rJmIiChzGFiIiIjI8RhYiIiIyPEYWJLEeViIiIgyh4GFiIiIHI+BhYiIiByPgYWIiIgcj4ElSRzWTERElDkMLEREROR4IwosW7duhSRJuPHGG+P7fvzjH+PjH/84/H4/JElCZ2dnUuf60Y9+hKlTp8Lj8WDJkiV4/fXXR1I0IiIiyiHDDiy7d+/Gtm3bUFNTk7A/HA5j5cqV+MY3vpH0uX79619jw4YN2LRpE/bu3YtzzjkHK1asQGtr63CLR0RERDlkWIGlp6cHa9euxcMPP4xx48Yl/OzGG2/EbbfdhgsuuCDp8911113453/+Z1xzzTWYN28eHnroIRQUFOBnP/vZcIo3KjgPCxERUeYMK7CsX78el156KZYtWzbiAhiGgT179iScS5ZlLFu2DLt27er3ObquIxgMJmxERESUu1IOLNu3b8fevXuxZcuWtBSgvb0dlmWhoqIiYX9FRQWam5v7fc6WLVsQCATiW3V1dVrKQkRERM6UUmBpaGjADTfcgF/+8pfweDyjVaYhbdy4EV1dXfGtoaFh1F+Tw5qJiIgyR03l4D179qC1tRWLFi2K77MsCy+++CLuv/9+6LoORVFSKkBZWRkURUFLS0vC/paWFlRWVvb7HE3ToGlaSq9DRERE2SulGpalS5di//792LdvX3w799xzsXbtWuzbty/lsAIAbrcbixcvxo4dO+L7bNvGjh07UFtbm/L5iIiIKPekVMNSVFSEBQsWJOzz+XwoLS2N729ubkZzczMOHz4MANi/fz+KioowefJklJSUAOgNPqtXr8Z1110HANiwYQOuvvpqnHvuuTj//PNxzz33IBQK4ZprrhnxGyQiIqLsl1JgScZDDz2EzZs3xx9/9KMfBQA88sgj+NKXvgQAqKurQ3t7e/yYz33uc2hra8Ptt9+O5uZmLFy4EE8//fQZHXGJiIgoP0lCZP8MI8FgEIFAAF1dXfD7/aPyGvVhHdMK2G+GiIjyz2jdA1O5f3MtISIiInI8BpYkcVgzERFR5jCwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQERGR4zGwEBERkeMxsBAREZHjMbAQ5Yn/2XcC33nyLbzT0p3pohARpUzNdAGIaPStvOdF1B/vgGaZePrNJvxpw8dQqPHPn4iyB2tYiHLc0282o+loI+5+8T58Y/fP0dgVxZ6jpzJdLCLKAifNGOrCURhCZLooDCxEue4Pz7+JB3f+B6YFm6EIGwDw/MHWDJeKiJygVTdxJKzjcDiKsGXH9x+N6KgLR2EJgRkFHsz2eTJYyl6sEybKYfrhw7j+/uvjj0Nq74fOxGJvpopERA5wNKLDsAUqNRfGa674vpgQsAVQ7XHDozirToOBhSiHHblsVcLj//zw/8Pv/+UjWFhdnJkCEVHGHQpFUaW54FOVhP1TvFqGSpQcZ8UnIkqric88Gf+3OnEidmz5PwwrRHkqbNl4OxTBJI/7jLCSDVjDQpTD/FNmwvvCC9APHYJ34cJMF4eIMqghamCOL3ubgxlYiHKcq2I8XBXjM10MIsqwLjMGSwgokpTpogwLm4SIiIjywHkBH46EdZw0Y5kuyrAwsBAREeUBSZIwy+dBd8xCd8zKdHFSNqLAsnXrVkiShBtvvDG+LxqNYv369SgtLUVhYSGuvPJKtLS0DHqeL33pS5AkKWFbuXLlSIpGRERE/Zji1dBmxNBuZFdNy7ADy+7du7Ft2zbU1NQk7L/pppvw5JNP4vHHH8cLL7yAxsZGfOYznxnyfCtXrkRTU1N8+6//+q/hFo2IiIgGMb1Aw6ksaxoaVmDp6enB2rVr8fDDD2PcuHHx/V1dXfjpT3+Ku+66CxdffDEWL16MRx55BK+88gpeffXVQc+paRoqKyvj2/vPS0REROk10ePGiaiR6WIkbViBZf369bj00kuxbNmyhP179uyBaZoJ++fMmYPJkydj165dg57z+eefx/jx4zF79mx87WtfQ0dHx4DH6rqOYDCYsBEREVHyChQZUdse+kCHSHlY8/bt27F3717s3r37jJ81NzfD7XajuLg4YX9FRQWam5sHPOfKlSvxmc98BtOmTUNdXR2+8Y1v4JJLLsGuXbugKGdObrNlyxZs3rw51aITERHR+3THbIQsC75+7rVOk1JgaWhowA033IBnn30WHk/6FkL6/Oc/H//32WefjZqaGsyYMQPPP/88li5desbxGzduxIYNG+KPg8Egqqur01YeIiKifLDQX4BDoSgqNMDv8NlvU2oS2rNnD1pbW7Fo0SKoqgpVVfHCCy/gvvvug6qqqKiogGEY6OzsTHheS0sLKisrk36d6dOno6ysDIcPH+7355qmwe/3J2xERESUulk+D05EDQghMl2UQaVUw7J06VLs378/Yd8111yDOXPm4NZbb0V1dTVcLhd27NiBK6+8EgBw8OBBHDt2DLW1tUm/zvHjx9HR0YEJEyakUjwiIiIaBk12/rRsKQWWoqIiLFiwIGGfz+dDaWlpfP+6deuwYcMGlJSUwO/34/rrr0dtbS0uuOCC+HPmzJmDLVu2YPXq1ejp6cHmzZtx5ZVXorKyEnV1dbjlllswc+ZMrFixIg1vkYiIiAZjCgHJ4VP2p30tobvvvhuyLOPKK6+ErutYsWIFHnjggYRjDh48iK6uLgCAoij4+9//jsceewydnZ2oqqrC8uXL8d3vfhea5uylromIiLLdkbCOqV53posxJEk4vdEqCcFgEIFAAF1dXaPWn+XdiI6pXgYoIiLKLYfDUcwsSN9AmlSkcv92fqMVERERjRoFzm4K6sPAQkRElKeilg1VZmAhIiIih7KEwDvhKIqU7IgCae90S0RERM4WsWwcDkdxdqHX8aOD+mRHrCIiIqK08SoyPLKMw2EdUSs71hNiYCEiIspDs3wezPJ5cDRLVmxmYCEiIspjLjYJEREREaUHAwsREVEes7Jk/lgGFiIiojxW7FJw0oxluhhDYmAhIiLKY+VuF04xsBAREZGTteomxrmcPy0bAwsREVGeMmwb3ZaFEgYWIiIicqqGqIEZGVqpOVUMLERERHlKzpKVmgEGFiIioryUDSOD3s/5jVZERESUNm2GiU7TQrFLwbQCLdPFSRoDCxERUZ5ojBpwyRJm+bKj38r7sUmIiIgoD8RsgYhto9ztynRRhoWBhYiIKA8cjeqY7s2eJqAPYmAhIiLKAxIkSFmyMnN/GFiSlCVrQxEREZ3BEgI2svtGxsCSpCwOpURElMcsIfBWTwQzsrg5COAoISIiopyl2zaOhHUsKPRmdXMQwMBCRESUs+rCOuYVejNdjLRgk1CS2IeFiIiyyeFwFDOzaGK4oTCwEBER5RghBIQA3HLu3OZz550QERERAKBJNzHJ4850MdKKgYWIiCjH6LaAR87uTrYfxMBCRESUY8ZrKlqM7FqNeSgMLERERDnGtAXULB/G/EEc1pwkDhIiIiKnE0KgPmIAAKbn0AghgIElabmVU4mIKNeYtsChcBSzCjxw5Vj/FYCBhYiIKCccjeqY6/Nk/Yy2A2EfFiIiohwwUXPjhG5muhijhoGFiIgoB3gVGbptZ7oYo2ZEgWXr1q2QJAk33nhjfF80GsX69etRWlqKwsJCXHnllWhpaRn0PEII3H777ZgwYQK8Xi+WLVuGQ4cOjaRoREREeUfK4R6Xww4su3fvxrZt21BTU5Ow/6abbsKTTz6Jxx9/HC+88AIaGxvxmc98ZtBz/eAHP8B9992Hhx56CK+99hp8Ph9WrFiBaDQ63OIRERHlFcO2cziuDDOw9PT0YO3atXj44Ycxbty4+P6uri789Kc/xV133YWLL74YixcvxiOPPIJXXnkFr776ar/nEkLgnnvuwbe+9S1cfvnlqKmpwc9//nM0Njbi97///bDeVLpZQiAHO1wTEVEOycXp+N9vWIFl/fr1uPTSS7Fs2bKE/Xv27IFpmgn758yZg8mTJ2PXrl39nqu+vh7Nzc0JzwkEAliyZMmAz9F1HcFgMGEbTaYt4MrRXtdERJQbLIGcHM7cJ+Vhzdu3b8fevXuxe/fuM37W3NwMt9uN4uLihP0VFRVobm7u93x9+ysqKpJ+zpYtW7B58+ZUiz5sphA5/UtARETkdCnVsDQ0NOCGG27AL3/5S3g8ntEq05A2btyIrq6u+NbQ0DCqr2eK3JvimIiIKJukFFj27NmD1tZWLFq0CKqqQlVVvPDCC7jvvvugqioqKipgGAY6OzsTntfS0oLKysp+z9m3/4MjiQZ7jqZp8Pv9CdtoitkCbgYWymJWt4Hgc0fR9udjOPJ6M4TNxSaIck2u36VSCixLly7F/v37sW/fvvh27rnnYu3atfF/u1wu7NixI/6cgwcP4tixY6itre33nNOmTUNlZWXCc4LBIF577bUBnzPWDCGgskmIsljX/x5B8Llj0J85irpfvo03XzyR6SIRURo1RI2cHxySUh+WoqIiLFiwIGGfz+dDaWlpfP+6deuwYcMGlJSUwO/34/rrr0dtbS0uuOCC+HPmzJmDLVu2YPXq1fF5XO68807MmjUL06ZNw7e//W1UVVXhiiuuGPk7TIOYYKdbym6SW4n/e65XQfn5FYMcTUTZ5GAoikkeF3yKMvTBWSztawndfffdkGUZV155JXRdx4oVK/DAAw8kHHPw4EF0dXXFH99yyy0IhUL4yle+gs7OTlx44YV4+umnM9pP5v2EAGQGFspikQPt8X/7LpoArcA14LHd3d1oa2tDSUnJGR3oich5XJKU82EFACQhRNY3ZgeDQQQCAXR1dY1Kf5b6sI5pObZMN6WXsGxYXQasLh1qmRdKkbPmQjCbQzj2s1fxt9adWH33nf0ujnbHHXecse/aa68dsC8ZETnDkbCO6Vl6j0rl/s3VmomGIdYRQfcLx2G2hGF1RmEFDaAv+kuANrMYBeeMh3dBKWRP5v/MXJU+zPjGUszA0pSeV1paOkolIqLhEEKg3YyhQJETalUsIaDkeEtA5j9JibKMsAU6/uttxFrC8M4vhTY9AGWcBrXYA8Xvhn40iJ6/nMCp376D4LNuTNi4JNNFHpJlRVBSUoKTJ0/G9y1atAgu18BNR0Q09g6FdUzQXOiO2WjSTUgAbAF0xSyUuHL7lp7b745oFOiHTsE83oOyfz4bnhnFZ/xc2AKx1ggAINJtwhY21j2+BhfWh7H6Iw9BHAvCd14lYAsIS0BYNmLtUeiHTsEKGij70nyoZd4xez/7/vZP6Oj4MyZPKcHJk5cCAObPn4+9e/di1qxZmDt37piVhYgGp0hAkaqgSFUA9H6hMO38mNyUgYUoRaG/tkIdXwBteqDfn0ff6oj/O+x3o6mnCQvfnYMVp5Yh/P8dAQBE/t6e8BzJrUD2Kr39YMImVIxdYJlcfQ06Ov6Mjo7q+L4DBw4AwKjPcUREqalwu87oV5kPYQVgYCFKidVtILKvDf4VU/rtuCpiNoLPHYs/Lon1wP7eEVyJZWccW/L52dBmFkNSZQjdQuiNFgSfPQpJGfYi6sNSUvIRLL24DgDw8ssv47nnnkNFRQU+/elPY+LEiWNaFiIaXKGqICYEmnUTlVp+NdkysBCloOuP9QCA4DNHEXqjBZIiofDDE1F4wYTeAyQJ7ql+6G3dkEICds97HyhVt18A+fRwYiEEzBM96HnpBMJ/b4N1SgcAuCcXQSnOXG//Cy+8EDU1NXC5XPB6x66Wh4iSV+xSUReOoq9JKF8wsBClIPCpabCjMbgm+ABLwGgKofPJOkT2t8E1oRCuiYUYt3om5AIXYm1hdPxiP+xw73MllwzjRA/Cf2tF5O/tsDp1SB4F2vRi+JdPhWdWMZTCzA+HZjMQkXOdMmNo1k1U5VntCsDAQpQSpciNsqvnxx8L00L3XxphNHQj8lYHel5OnPLev2wyXJOKICkSWn/0N5jNIcg+F7xnl8G7oAzatAAkJT/an4lo+IIxCy26iXEuFXML87P2k4GFaAQklwL/x9/rrGpHYjAae2CHTET2tyO0pwWVF0+GcTQIszmEcf/3LBQsLB/zfipElN1adBOzfM6Y/T1T+KlJlEayV4VnRjEKaspR+OEqWKd0hN9ogXR68rjQ7mZYXUaGS0lE2caryIhYdqaLkVGsYSEaJe6pfnjPKcepJw6h+NMzUPql+eh49ABCu5sRWDF11F+/RTexvycCtyRBkyVosgxNluCRZbhPP/acfszVyImcrcSlojMWg1fJfD+3TGFgIRolkiSh5HOz0VXoQuf/1EHxuwFFgu/80V2b547DJ/BQQ1tKz/n7h+djfB524iPKFq2Gicme/A0rAAML0aiSZAmBy6ZDKdbQ80ojAiunQh03uu3QfWHlw8WF+EzFOCzyF8AlSdBtG7otTm+9/34rFMEP6ptR+9o/cH7Ah4hl4/9VleKzlSWjWkYiSl6nGYNuC8g5vlbQUBhYkpDnvyM0QpIkoeiiSSi6aNKYvN4btfNwy8EG7DzZjVc6e3BVVSl+MLs64ZijER3/Z18dGqK9/WlClg23LOGdkIEnWzsZWIgcwLBt1EcMBFQFs/O8wy3AwEKUcyZ53PjVOTPwTiiKj77+NgKqAiEEDCEQtWwYQqDdiMXDSp+XTvUgbNkoc/NjgSjTTkQNGLbAWQVav7Nq5yN+MhHlIFsI3PbOcQDAr5pO4sfH26Dbot9jzwq1YkJBESKFZdBkCReXcOI4okzrtizM8eXnfCsDYWBJguj/c57IscKWjVc6ewAAHx1XiIX+ApS4VHhOjxQybIGo3Vub8vGShZktLBGdQYKUN6swJ4uBhSgHFaoKnlw0C4WKnLezYhJls7MKNBwMR1GoKJiU56OD+nDiOKIcdV7Ax7BClKUkScIcnxeWEDhpxjJdHEdgYCEiInKoKV4NwZiFnpiV6aJkHANLEthBm4iIMmWqV0OrwVoW9mEhIiJyoDbDRHfMhg2BavZjYWAhIiJymoaoAZ8iY3qBlumiOAabhIiIiBwmZguUuFin8H4MLERERA7D6b/OxMBCREREjsfAQkRE5CBCCAjWsZyBgSUJnJqfiIjGynHdxESNo4I+iIElCZyHhYiIxoIQAmHLhkfh7fmD2AU5CaxhISKidApbNhp1AzIk9H0n7rvVzORQ5n4xsBAREY2hoxEdADCzwJPhkmQXBhYiIqIxcNKMoc2IYbLHDS+bfFLGwEJERDSKbCFwKKxjnKpgto+1KsPFwEJERDRKOs0YmnQTs30eyBzBMSIMLERERGkWsiyciJoIqArmFnozXZycwMBCRESURi26iaht4yw2/6RVSr1+HnzwQdTU1MDv98Pv96O2thZPPfVU/Od1dXVYvXo1ysvL4ff78dnPfhYtLS2DnvOOO+6AJEkJ25w5c4b3boiIiDLEsG28HYpAloApXg5NTreUAsukSZOwdetW7NmzB2+88QYuvvhiXH755Thw4ABCoRCWL18OSZKwc+dO/OUvf4FhGFi1ahVs2x70vPPnz0dTU1N8e/nll0f0poiIiMZSm2HiWNTA7AIPyt2uTBcnJ6XUJLRq1aqEx9/73vfw4IMP4tVXX8WJEyfw7rvv4q9//Sv8fj8A4LHHHsO4ceOwc+dOLFu2bOBCqCoqKyuHUXwiIqLMqgtH4VcVzqsyyoY9ENyyLGzfvh2hUAi1tbXQdR2SJEHT3qsG83g8kGV5yBqTQ4cOoaqqCtOnT8fatWtx7NixQY/XdR3BYDBhIyIiGku6beMfPRFM8rhZqzIGUg4s+/fvR2FhITRNw7XXXosnnngC8+bNwwUXXACfz4dbb70V4XAYoVAIN998MyzLQlNT04DnW7JkCR599FE8/fTTePDBB1FfX4+LLroI3d3dAz5ny5YtCAQC8a26ujrVt0FERDRsp8wYGqIG5hZ6ocmcBG4sSEKktlKOYRg4duwYurq68Nvf/hY/+clP8MILL2DevHn405/+hK997Wuor6+HLMtYs2YN3nrrLZx//vl48MEHkzp/Z2cnpkyZgrvuugvr1q3r9xhd16HrevxxMBhEdXU1urq64s1R6VQf1jGNazsQERF6+6votsAkD1dUHqlgMIhAIJDU/TvlYc1utxszZ84EACxevBi7d+/Gvffei23btmH58uWoq6tDe3s7VFVFcXExKisrMX369KTPX1xcjLPOOguHDx8e8BhN0xKanoiIiMZC2LIRjFmYwf4qY27E9Vi2bSfUdgBAWVkZiouLsXPnTrS2tuLTn/500ufr6elBXV0dJkyYMNKiERERpY0tBN6N6AwrGZJSDcvGjRtxySWXYPLkyeju7savfvUrPP/883jmmWcAAI888gjmzp2L8vJy7Nq1CzfccANuuukmzJ49O36OpUuXYvXq1bjuuusAADfffDNWrVqFKVOmoLGxEZs2bYKiKFizZk0a3yYREdHIvB2KYi4ng8uYlAJLa2srrrrqKjQ1NSEQCKCmpgbPPPMMPvnJTwIADh48iI0bN+LkyZOYOnUqvvnNb+Kmm25KOEdfk1Gf48ePY82aNejo6EB5eTkuvPBCvPrqqygvL0/D2yMiIkqdEAKdMQudpgUAMIXAdK8GiesBZUzKnW6dKJVOO8PBTrdERPmhb2VlVQJKXCqKVYUhZRSNaqdbIiKiXGQJgbd6IlhQ6GVIcSAGFiIicqyTZgydpgWfIqNCG73J2WK2wNshhhUn42w3RETkOJ1mDIdCUQgBTC/QUKjIOBSK4lhEH/rJw3AoHMV8hhVHYw1LEvj7S0Q0dk5EDQDArPeNyPGpCmapCkKWhX/0RDC30Duscwsh0GyYiFi93TeLVBkyJBSxr4rjMbAQEZFjHA5HUeJSUeLq//bkUxRUe9xo1k1UptBE1BA1ELVsuGQJ490uTNB6GxiCMQsmZ63NCgwsRESUcY1RAyHLxiSPG15l8N4KhaqCFsMEMHhgCcUsNBkmJABVmhtez5nn9avKCEpNY4mBJQnZP/CbiMiZjkZ0mEKg0u1CVQq1HBIk2EJA7qcZJ2zZaNQNeGUZMzkrbc5gYCEiojEXilk4FjUw1asNWaPSn6leNw70RDC/0BsPLZ1mDG1GDF6FQSUXMbAQEdGYClkWmg1z2B1nAUCWJMwv9OJoxEBfJbhfVRI66lJuYWBJAluEiIjSp0WPpWUBQVmSOAt5HuE8LEngQDciovThZyoNBwMLEREROR4DCxERETkeAwsRERE5HjvdEhHRsIUsC826Cfl0zxRJ6p27qm+wgoTef3tkCRM0F2ICkNmJhYaBgWUIthBcS4iIqB+nzBi6YlZSI35CloX6iAEJvXOoEKWKgWUIAuzRTkTUnw4zlvQEbT5FwfQCToNPw8c+LERENCwyv87RGGJgISKiYVEkQLftTBeD8gSbhIiIKGlCCDTpJqK2QEwIuNnJj8YIAwsRESUlGLNw/PSChQXDWLCQaCQYWIbA7w5ERL1aDRPzRrBgIdFIMLAQEdGguswY2swY/ApH+VDmMLAQEdGgmo0YZvtGvroy0UiwEZKIiAalsG2cHICBZQi2GPoYIqJcVqgo6DRjmS4G5Tk2CQ3BhoA8wLC9oxEd1ulAo8kSJno43TQR5Z5KzYU3u8ModvGWQZnD374hCJxZDSWEwFuhKGZ4NXhOD+0LWzb+0RPBVK8GL4f7EVGOGeiLG9FY4Z11CEIkDm0WQuBATwRzfZ54WAGAAkXG3EIvjkZ1RKzRnfmxy4yhSTcgBNuriGhseGXeLiiz+Bs4BIHe5dLDlo0jYR0Hw1HMK/QO+G1jjs+LdyP6qExXHT1di2MIgYCq4khEx/GokfbXISL6IH49okxjk9AQVElCu9Hb2Wya1w0piWrRuYVe/KMngirNhcAw2nwjlg1NlhJCUdSyUR/RMfd9kzbNKPCgw4ihWTdRqblSfh0iomQJRhbKMAaWIbhkCWcXFaT8vLmFXrQZJurDevzPfKjA0xdKAqoC3RawIKBAgkDvsMK5/cwwWepWcSSsp1w+IqJktegmCjlpHGUYA8soKne7UH564JBpC7wT1lHqUlHmTvzf3mHE0BnrrcXpL5QMhV3hiCgdjoT1+OfJeE1Fp2khZNko6edzi2is8TdwjLhkCbN9vU047/9QAIBil4IZBZxFkogySwIwrUCDLQRajRhKXSometjVkZyBgWWMlbpVlKb5m4oAYAkBhcMOiWgEYqdHHsqSxH5x5DiMzjlgmteNp9q68G5ER4xT8xLRMBW7FLQZZqaLQdSvlALLgw8+iJqaGvj9fvj9ftTW1uKpp56K/7yurg6rV69GeXk5/H4/PvvZz6KlpWXI8/7oRz/C1KlT4fF4sGTJErz++uupv5M8JkkSLhtfjImaGyd0A+9GdNSHe7cjp7djEZ3zthDRoMrdLsSEQF04ys8LcpyUAsukSZOwdetW7NmzB2+88QYuvvhiXH755Thw4ABCoRCWL18OSZKwc+dO/OUvf4FhGFi1ahXsQeYk+fWvf40NGzZg06ZN2Lt3L8455xysWLECra2tI35z+cYlS5ji1TDVq2FaQe82/fRWqblQF9FxmB9ERFlLCBH/QnIkrOPEKMzDNEFzY7JHwzthHSe5fhA5iCRGePcqKSnBD3/4Q1RXV+OSSy7BqVOn4Pf7AQBdXV0YN24c/vSnP2HZsmX9Pn/JkiU477zzcP/99wMAbNtGdXU1rr/+etx2221JlSEYDCIQCKCrqyv+2tQ/SwgcCkcxSXOjUOUwRaJs8lZPBLN9nnh/tVDMwnHdxGzf6HTaPxbRMc6looifFTRKUrl/D7sPi2VZ2L59O0KhEGpra6HrOiRJgqZp8WM8Hg9kWcbLL7/c7zkMw8CePXsSwowsy1i2bBl27do14Gvruo5gMJiwUXIUScIcnxcndBPGKMzGS0Sj46QZQ4XbldC53qcqmKi50DhKM15P9mpoZZ8WcoiUA8v+/ftRWFgITdNw7bXX4oknnsC8efNwwQUXwOfz4dZbb0U4HEYoFMLNN98My7LQ1NTU77na29thWRYqKioS9ldUVKC5uXnAMmzZsgWBQCC+VVdXp/o28t5snwdHI5zWnygbCCHQopv9jjAsVBUELQuNUSPed61vdu6ROhrRUaxyMCk5Q8qBZfbs2di3bx9ee+01fO1rX8PVV1+Nt956C+Xl5Xj88cfx5JNPorCwEIFAAJ2dnVi0aBHkNC+atXHjRnR1dcW3hoaGtJ4/X3AYNJGzxWyBw+Eo6iI6Zg0yV9M0r4ZxLjXed02WgH/0REb02kIIWAJpn4aBaLhS/k10u92YOXMmAGDx4sXYvXs37r33Xmzbtg3Lly9HXV0d2tvboaoqiouLUVlZienTp/d7rrKyMiiKcsZIopaWFlRWVg5YBk3TEpqeaHgk9H4oJbM+EhGNHVsIHArr8MgSZni1If9GtQ98KSxxqShUZLwTiuKsYfZvaTNinN2WHGXEVR+2bUPXE9eyKSsrQ3FxMXbu3InW1lZ8+tOf7ve5brcbixcvxo4dOxLOt2PHDtTW1o60aDSEKo8Lx7jaM5Hj1IV1nFWgYUoSYWUgblnGBM017BXdeywbfna2JQdJKT5v3LgRl1xyCSZPnozu7m786le/wvPPP49nnnkGAPDII49g7ty5KC8vx65du3DDDTfgpptuwuzZs+PnWLp0KVavXo3rrrsOALBhwwZcffXVOPfcc3H++efjnnvuQSgUwjXXXJPGt0n90WQZMSEQtWx4FM4hSOQEJ80YfIqclprPIlVBuxEb1t+4W5Zwyoxh3DBWnCcaDSn9Jra2tuKqq65CU1MTAoEAampq8Mwzz+CTn/wkAODgwYPYuHEjTp48ialTp+Kb3/wmbrrppoRz9DUZ9fnc5z6HtrY23H777WhubsbChQvx9NNPn9ERl0bHjAIP3g5FUO1xw8fVWIkySgiBVsPEHF/qi6AOZFqBhn/0RAZcWNUWAofDOlRJgiUEpnk1qLKESR43GqIGdNvkNP3kCCOeh8UJOA/LyB0J6yh1KQjw2xRRxjREDZS71LTXeEYtGy2GiSnexL5/Qgi82RPB/EIvZEmCEL2rype53lvzrFU3YUFgguZOa5mIgDGah4Vyy/QCDZ0xC6c4syVRRoQtG7o9Os2zzYaJQD/9UY5GDcw7HVaA3mU+Zvs8EEB8WY8OM4bxbtawUObx6zTFTfFqqAtHUaDIZ4w6IKLRYwuB+oiO+QM024zEnq4Q5hR6+m3ytUX/0xuUuVWOECLH4V2JEswo8KAurMPO/pZCoqwQjFk40BPB3FGYXv9gKIpZvv7DCgAYgrNdU/ZgYKEzzPV5cDisD30gEY1Ym2Hi7KKCeLNMOhm2jcJ+mpgM28Y/eiKY7OF8VpQ9WOdHZ5AkCS5OJkc0JuxRrMycX+jFobAOnyJjkseNYMxCq2HCJUmY4/Nw0kjKKgwsREQZVKDIiFg2vKPQ2VY+3Yk2Ytk4cjq4zBxkin8iJ2NgISLKIEWSYGN0+4x5FRnTC9j8Q9mNfViIiDIobNmctJEoCQwsREQZErZsiFGuXSHKFWwSon7JUu9IAjfnYyEaFW2Gie6YjRnsU0KUFN6NqF+TPW4c4tBmorRqjBo4EtZRF45ClST2KyFKAWtYqF+SJGFWgYa3QxH4FAUTNdeozBNBlA9CMQsn9N5FBKv6mSKfiIbGwEIDcssy5vi8iFo2GqJGwnwRAoAqARM97n6n9iaiXm2GiYhl46xRmMmWKJ8wsNCQPIp8xiqvAGDaAg1RA9bpafzHuVSUJLnas2kLnNB7nyvjvcBjQ6BSc3HUBOWMYMxiPxWiNGBgoWFzyRKmvi/ItOgm6gfo9yJJ783oKQFQpN5+Mv01Mx2PGjjQHcHcQi+KWH1OWc7iICCitGBgobSp0Ppfgl6I3oGbyfaBmeRxY6LmQrsZQ3s4lngu9AYdVWYzFGWHyR43DoWiCKgKxg/wN0JEQ2NgoVEnSRJSjReSJKHc7UK5O3G/LQSORgzIEvptpqKxc9KMocu0IEmAEIAhBMbxpnwGjyJjls+DNsNEm2Gi3M3/P0TDwcBCWUWWJEwr0HDSjPHDPwMilo0TugEJQIlLxbQPDMvtMGJoPj0ahhKVu104FIryd5ZomBhYKCuVuFQcCetn1MDQyAgh0Kib0G1xOpQoCLhUtOomgpYFjzz44nmlbnXAfkwEvHiqG1O9Glxs0iRKGQMLZS1ZAkKWxRFFaRK1bByJ6Jju1eBRZAghcNK0UB/WUeJSMFPjSJeROjfgQ5NuYDKbM4lSxsBCWWuqV0ND1ECTbkKGhHK3ylFFI1Af0TGv0Bt/LEkSSt0qSt3Jf0zots0O0YM4p6gAdeFopotBlJUYWCirVXveaxNqM0y0hk14ZBkTPaPTVmSLvrlneodnC7z3X7csYdIove5oOxSKYrJ35GVvjJqYmobz5DKOciYaHgYWyhm9o4pcqA/riNlixN/0LSFgCYHjUTO+T5aASVr/w6ojlo2DoShKXEpWdKyM2QL1kd7+JtUeNzzKyJcWE+itmaH+NUQNTNQY6IiGg4GFcs4UrxtHI8YZI1iSFYxZaDVMqJIERZIwzetO6ibsVWTMPj189Z1QFBVuFX5VcdQNvMOIoStmQaB3huGZBVpay1ehqTgcjg7aMTefmbaANw3BkCgfMbBQzpElCfYwK95tIdCoG5jj8w598AD6anrajRjejRj9HqPKEia4XWPa36MhakAb5RWCfYqCCjdwImqMWrNcNit394644lw1RKljYKGcVKDIaNINTEix+r0hamCmNz21A2VuFWUDdFjVbfv0WkqAgEChogw4U3A6dJoxuCRpTG6URaqCVsMc+sA8VKQqaGZgIRoWBhbKSRM0N3piFo6E9YRZdm0ITPNqAy4TEBMj7/uSDE1OXFCyy4zhcDiKAllG1SjUTHSYsTFdgC/GnqUDcssSIpbNpiGiFDGwUM4qVBUUfmCYs3V6an+B3pqNSR43NLn3xhGxbCgZ6m8ScKkIuFR0xyy81RNJGF48Um2GOeZz1bgc1G/HaSZ73DgS0bmCM1GKGFgoryinp/YHemd1Pa6bMGwbEiSoEhJWn86EIlXBFK97wOntj0Z0xERvh9neBSUHXvVaCIH6iAFNlsa8P4mE3v5AyS54mU+c1AmbKJswsFDekiQpYR4Xp/ApChqjZwaWt3oimFmgwS2/15TQV2MEAH33QXG6OSaTK1tXai406mbWzksz2lJfDpSIGFiIHGicq3dNnmkFGrpjFo5HDUzxuhPCCpBYY+QkXkVGVLczXQxHOmXGoHE2YKKUMbAQOVCZW0WBIuNIWIdXkTA3jX1axkpAVdBhxFKa2j+bNesmQpYFGRI6zBgCqgJFkhJmRLYh4FMUDvkmGob8+CQhykIFijyqc6aMtnK3C8ejBurC0ZzvYHooFEWJS42/z2nI3utG5FQMLEQ0aiZ53AjFLBwOR+GSpISh3LnicDiKcreKYhc/TolGE//CiGhU+VQFM1UFum2jLhxN6HDa9y9J6u0sXKDIozqB3miQITGsEI0B/pUR0ZjQZHnIpqHumIVDoSgKlNFbcZuIslNKUy0++OCDqKmpgd/vh9/vR21tLZ566qn4z5ubm/HFL34RlZWV8Pl8WLRoEX73u98Nes477rgDkiQlbHPmzBneuyGirFakKpjl86DYpeCdUBSdZizTRSIih0iphmXSpEnYunUrZs2aBSEEHnvsMVx++eX461//ivnz5+Oqq65CZ2cn/vCHP6CsrAy/+tWv8NnPfhZvvPEGPvShDw143vnz5+O55557r1AqK36I8plPUXCWT4nXtnxwOLdTCCGGvdAmEaUmpU+BVatW4VOf+hRmzZqFs846C9/73vdQWFiIV199FQDwyiuv4Prrr8f555+P6dOn41vf+haKi4uxZ8+eQc+rqioqKyvjW1lZ2fDfERHljJkFGt4JRWELZ4aCo1ED03KwIzGREw37a4tlWdi+fTtCoRBqa2sBAB/+8Ifx61//GidPnoRt29i+fTui0Sg+/vGPD3quQ4cOoaqqCtOnT8fatWtx7NixQY/XdR3BYDBhI6LcI0kS5hd6caAnAsuBoUUIZGz9KaJ8k3Jg2b9/PwoLC6FpGq699lo88cQTmDdvHgDgN7/5DUzTRGlpKTRNw1e/+lU88cQTmDlz5oDnW7JkCR599FE8/fTTePDBB1FfX4+LLroI3d3dAz5ny5YtCAQC8a26ujrVt0FEWUKSJCwo9OKdUBShmJXp4iRgcxDR2JGESO1ri2EYOHbsGLq6uvDb3/4WP/nJT/DCCy9g3rx5uP766/H666/j+9//PsrKyvD73/8ed999N1566SWcffbZSZ2/s7MTU6ZMwV133YV169b1e4yu69B1Pf44GAyiuroaXV1d8Pv9qbwdIsoiDVEDhm2j1OWMeU/eCUVxli+3J8UjGk3BYBCBQCCp+3fKgeWDli1bhhkzZuCWW27BzJkz8eabb2L+/PkJP585cyYeeuihpM953nnnYdmyZdiyZUtSx6fyhoko+7UZJjpNCwFVwfgMzdvSZpjwyDKKVCUjr0+UC1K5f4+4671t29B1HeFwuPeEH1ycTVFg28kvgtbT04O6ujpMmDBhpEUjohxV7nZhls+DmBAIZqiZKBizGFaIxlBKgWXjxo148cUX8e6772L//v3YuHEjnn/+eaxduxZz5szBzJkz8dWvfhWvv/466urq8B//8R949tlnccUVV8TPsXTpUtx///3xxzfffDNeeOEFvPvuu3jllVewevVqKIqCNWvWpO1NElFuqvK40WaYY/663TELmkOHWhPlqpQagVtbW3HVVVehqakJgUAANTU1eOaZZ/DJT34SAPDHP/4Rt912G1atWoWenh7MnDkTjz32GD71qU/Fz1FXV4f29vb44+PHj2PNmjXo6OhAeXk5LrzwQrz66qsoLy9P01skolwmY2xG6Qgh0GLEELIsKJKEqRzOTDSmRtyHxQnYh4Uofx0J65jqdUMewfDiqGWjUTchAQnjfiS8t86RJAHlbhU+hc1AROmSyv07893siYhGYIrXjfqIPuQ6RX2EEGjUTej2e9FEkyVM87ohcU4VIsdiYCGirKZIEjyyjPrTNS39hY52I4ZgzIKAgAQJEzQXvAr7oBBlEwYWIsp6Ez1uGLaN+ojRb4+WEpeC6QXsc0KUzRhYiCgnuGWZoYQoh7FOlIiIiByPgYWIiIgcj4GFiIiIHI+BhYiIiByPgYWIiIgcj4GFiIiIHI+BhYiIiByPgYWIiIgcj4GFiIiIHI+BhYiIiByPgYWIiIgcj4GFiIiIHI+BhYiIiByPgYWIiIgcT810AdJBCAEACAaDGS4JERERJavvvt13Hx9MTgSW7u5uAEB1dXWGS0JERESp6u7uRiAQGPQYSSQTaxzOtm00NjaiqKgIkiQhGAyiuroaDQ0N8Pv9mS4e9YPXyPl4jZyP18jZeH2GJoRAd3c3qqqqIMuD91LJiRoWWZYxadKkM/b7/X7+kjgcr5Hz8Ro5H6+Rs/H6DG6ompU+7HRLREREjsfAQkRERI6Xk4FF0zRs2rQJmqZluig0AF4j5+M1cj5eI2fj9UmvnOh0S0RERLktJ2tYiIiIKLcwsBAREZHjMbAQERGR4zGwEBERkePlXGB55513cPnll6OsrAx+vx8XXngh/vznPyccI0nSGdv27dszVOL8k8w16tPR0YFJkyZBkiR0dnaObUHz2FDXqKOjAytXrkRVVRU0TUN1dTWuu+46ruc1Roa6Pn/729+wZs0aVFdXw+v1Yu7cubj33nszWOL8k8zn3Ne//nUsXrwYmqZh4cKFmSloFsm5wHLZZZchFoth586d2LNnD8455xxcdtllaG5uTjjukUceQVNTU3y74oorMlPgPJTsNQKAdevWoaamJgOlzG9DXSNZlnH55ZfjD3/4A9555x08+uijeO6553DttddmuOT5Yajrs2fPHowfPx6/+MUvcODAAXzzm9/Exo0bcf/992e45Pkj2c+5L3/5y/jc5z6XoVJmGZFD2traBADx4osvxvcFg0EBQDz77LPxfQDEE088kYESUrLXSAghHnjgAfGxj31M7NixQwAQp06dGuPS5qdUrtH73XvvvWLSpEljUcS8Ntzr8y//8i/iE5/4xFgUMe+leo02bdokzjnnnDEsYXbKqRqW0tJSzJ49Gz//+c8RCoUQi8Wwbds2jB8/HosXL044dv369SgrK8P555+Pn/3sZ0ktbU0jl+w1euutt/Cd73wHP//5z4dcEIvSK5W/oz6NjY347//+b3zsYx8b49Lmn+FcHwDo6upCSUnJGJY0fw33GtEQMp2Y0q2hoUEsXrxYSJIkFEUREyZMEHv37k045jvf+Y54+eWXxd69e8XWrVuFpmni3nvvzVCJ889Q1ygajYqamhrxn//5n0IIIf785z+zhmWMJfN3JIQQn//854XX6xUAxKpVq0QkEslAafNPstenz1/+8hehqqp45plnxrCU+S2Va8QaluRkxVfX2267rd+Osu/f3n77bQghsH79eowfPx4vvfQSXn/9dVxxxRVYtWoVmpqa4uf79re/jY985CP40Ic+hFtvvRW33HILfvjDH2bwHWa/dF6jjRs3Yu7cufjCF76Q4XeVW9L9dwQAd999N/bu3Yv/+Z//QV1dHTZs2JChd5f9RuP6AMCbb76Jyy+/HJs2bcLy5csz8M5yx2hdI0pOVkzN39bWho6OjkGPmT59Ol566SUsX74cp06dSljKe9asWVi3bh1uu+22fp/7v//7v7jssssQjUa55sMwpfMaLVy4EPv374ckSQAAIQRs24aiKPjmN7+JzZs3j+p7yVWj/Xf08ssv46KLLkJjYyMmTJiQ1rLng9G4Pm+99RY+8YlP4J/+6Z/wve99b9TKni9G62/ojjvuwO9//3vs27dvNIqdM9RMFyAZ5eXlKC8vH/K4cDgMAGf0eZBlGbZtD/i8ffv2Ydy4cQwrI5DOa/S73/0OkUgk/rPdu3fjy1/+Ml566SXMmDEjjaXOL6P9d9T3M13XR1DK/JXu63PgwAFcfPHFuPrqqxlW0mS0/4ZocFkRWJJVW1uLcePG4eqrr8btt98Or9eLhx9+GPX19bj00ksBAE8++SRaWlpwwQUXwOPx4Nlnn8X3v/993HzzzRkufX5I5hp9MJS0t7cDAObOnYvi4uKxLnLeSeYa/fGPf0RLSwvOO+88FBYW4sCBA/i3f/s3fOQjH8HUqVMz+wZyXDLX580338TFF1+MFStWYMOGDfGhtIqiJHXDpZFJ5hoBwOHDh9HT04Pm5mZEIpF4Dcu8efPgdrszVHoHy1z3mdGxe/dusXz5clFSUiKKiorEBRdcIP74xz/Gf/7UU0+JhQsXisLCQuHz+cQ555wjHnroIWFZVgZLnV+GukYfxE63Y2+oa7Rz505RW1srAoGA8Hg8YtasWeLWW2/lNRojQ12fTZs2CQBnbFOmTMlcofNMMp9zH/vYx/q9TvX19ZkptMNlRR8WIiIiym9ZMUqIiIiI8hsDCxERETkeAwsRERE5HgMLEREROR4DCxERETkeAwsRERE5HgMLEREROR4DCxERETkeAwsRERE5HgMLEREROR4DCxERETkeAwsRERE53v8PZpZZoA1fLxsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "def89086-e45b-4617-8194-e3c471caff6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New for WI and OH VRA - pre-combine (frag)VTDs to have < 400 units per district\n",
      "... after we assign unit nos to the unit counties\n",
      "Now identifying discontig precincts that we will exclude from fusing to reduce units / county\n",
      "I split up 241 fragmented VTDs, leaving 465 to be fused in a later block\n",
      "If we don't combine some VTDs, we would have 9773 total units, or 651.5333333333333 per district\n"
     ]
    }
   ],
   "source": [
    "print(\"New for WI and OH VRA - pre-combine (frag)VTDs to have < 400 units per district\")\n",
    "# ... below code originally in block below, but moved here\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, borderUnits = list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"... after we assign unit nos to the unit counties\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "    countyUnitList[c] = [c+0.5]\n",
    "print(\"Now identifying discontig precincts that we will exclude from fusing to reduce units / county\")\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDs = [countyTractList[c].copy() for c in range(nCounties)]\n",
    "cantFuseList, mustFuseList, fuseBuddyList = list(), list(), list()\n",
    "nonunitCounties = list()\n",
    "for c in range(nCounties):\n",
    "    if c not in allFusedCounties + unitCounties:\n",
    "        nonunitCounties.append(c)\n",
    "for c in nonunitCounties:\n",
    "    for v in countyTractList[c]:\n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :   \n",
    "            cantFuse = True  #a multipoly vtd-based unit.  For simplicity, do not buddy-fuse these\n",
    "            if v not in fuseBuddyList: #avoid reciprocal fusing; too complicated\n",
    "                for vv in countyTractList[c]:\n",
    "                    if v != vv and (vtdGeom[v].union(vtdGeom[vv]) ).geom_type == dummyPoly.geom_type and cantFuse :                    \n",
    "                        mustFuseList.append(v)  #fusing these two cures the split VTD, so fuse instead\n",
    "                        fuseBuddyList.append(vv)\n",
    "                        cantFuse = False\n",
    "                        break\n",
    "            if cantFuse: #break VTD into its fragments\n",
    "                cantFuseList.append(v)                \n",
    "                nFragmentedVTDs +=1\n",
    "                fragmentedVTDs.append(v)\n",
    "                geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "                for i, geo in enumerate(geos):\n",
    "                    if i == 0:\n",
    "                        fragVTDgeom[v] = geo\n",
    "                        fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                    else:  #create a new VTDfrag\n",
    "                        fNo = len(fragVTDgeom)\n",
    "                        fragVTDgeom.append(geo)\n",
    "                        fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                        parentVTDno.append(v)\n",
    "                        countyFragVTDs[c].append(fNo)\n",
    "                        VTDchildren[v].append(fNo)\n",
    "                        nVTDneighbors.append(0)\n",
    "                        lastVTDneighbor.append(-999)\n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs, leaving\",len(mustFuseList),\"to be fused in a later block\")\n",
    "nOrigUnits = len(fragVTDgeom) + len(unitCounties) + nCCBs\n",
    "nOrigUnits -= np.sum([len(countyFragVTDs[c]) for c in allFusedCounties + unitCounties])\n",
    "nOrigUnitsPerDistrict = float(nOrigUnits)/nDistricts\n",
    "print(\"If we don't combine some VTDs, we would have\",nOrigUnits,\"total units, or\",nOrigUnitsPerDistrict,\"per district\")\n",
    "\n",
    "fusedGeoms = [ [fragVTDgeom[vv] for vv in countyFragVTDs[c] ] for c in range(nCounties) ]\n",
    "fusedPops =  [ [fragVTDpop[vv]  for vv in countyFragVTDs[c] ] for c in range(nCounties) ]\n",
    "isWiped =    [ [False           for vv in countyFragVTDs[c] ] for c in range(nCounties) ] #surrounded or fused\n",
    "for c in unitCounties:\n",
    "    fusedGeoms[c] = [ countyGeom[c] ]  #these three won't be accessed, but just in case ...\n",
    "    fusedPops[c]  = [ countyPop[c]  ]\n",
    "    isWiped[c]    = [ False         ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3af493e2-9b9b-42aa-9034-b164271f187e",
   "metadata": {},
   "outputs": [],
   "source": [
    "debug3 = False\n",
    "barredVTDfusingCounties = [17, 30]  #to keep the VRA cores clean, do not fuse vtds in Hamilton and Cuyahoga\n",
    "# tbd if we allow fusing in Ottawa and Erie near Marblehead "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "874b0de3-34a6-4e63-bf6d-1d26dabbf8a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now apply all FORCED fuses (multigeom VTDs made whole by fusing w another single VTD)\n",
      "1323807.0 county 24 pops before fusing its forced-fuse list\n",
      "1323807.0 county 24 pops after the fusing operation\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "To speed computation, enter max number of units per district; e.g. 400 400\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "created temp nbr list for county 0 with 23 13 original and target UPC\n",
      "created temp nbr list for county 5 with 37 23 original and target UPC\n",
      "created temp nbr list for county 10 with 30 19 original and target UPC\n",
      "created temp nbr list for county 15 with 25 18 original and target UPC\n",
      "created temp nbr list for county 20 with 183 108 original and target UPC\n",
      "21 60 c,NFU. target V index will now be 35 which refers to v 3740\n",
      "21 50 c,NFU. target V index will now be 44 which refers to v 3749\n",
      "21 50 c,NFU. target V index will now be 45 which refers to v 3750\n",
      "21 50 c,NFU. target V index will now be 47 which refers to v 3752\n",
      "21 40 c,NFU. target V index will now be 44 which refers to v 3749\n",
      "21 40 c,NFU. target V index will now be 45 which refers to v 3750\n",
      "21 40 c,NFU. target V index will now be 58 which refers to v 3763\n",
      "24 950 c,NFU. target V index will now be 1152 which refers to v 9357\n",
      "24 940 c,NFU. target V index will now be 1175 which refers to v 9380\n",
      "24 930 c,NFU. target V index will now be 1218 which refers to v 9423\n",
      "24 920 c,NFU. target V index will now be 1249 which refers to v 9454\n",
      "24 910 c,NFU. target V index will now be 1283 which refers to v 9488\n",
      "24 900 c,NFU. target V index will now be 0 which refers to v 6745\n",
      "24 890 c,NFU. target V index will now be 10 which refers to v 6755\n",
      "24 880 c,NFU. target V index will now be 20 which refers to v 6765\n",
      "24 870 c,NFU. target V index will now be 30 which refers to v 6775\n",
      "24 860 c,NFU. target V index will now be 40 which refers to v 6785\n",
      "24 850 c,NFU. target V index will now be 51 which refers to v 6796\n",
      "24 840 c,NFU. target V index will now be 61 which refers to v 6806\n",
      "24 830 c,NFU. target V index will now be 73 which refers to v 6818\n",
      "24 820 c,NFU. target V index will now be 83 which refers to v 6828\n",
      "24 810 c,NFU. target V index will now be 93 which refers to v 6838\n",
      "24 800 c,NFU. target V index will now be 103 which refers to v 6848\n",
      "24 790 c,NFU. target V index will now be 115 which refers to v 6860\n",
      "24 780 c,NFU. target V index will now be 126 which refers to v 6871\n",
      "24 770 c,NFU. target V index will now be 137 which refers to v 6882\n",
      "24 760 c,NFU. target V index will now be 149 which refers to v 6894\n",
      "24 750 c,NFU. target V index will now be 159 which refers to v 6904\n",
      "24 740 c,NFU. target V index will now be 169 which refers to v 6914\n",
      "24 730 c,NFU. target V index will now be 182 which refers to v 6927\n",
      "24 720 c,NFU. target V index will now be 192 which refers to v 6937\n",
      "24 710 c,NFU. target V index will now be 202 which refers to v 6947\n",
      "24 700 c,NFU. target V index will now be 214 which refers to v 6959\n",
      "24 690 c,NFU. target V index will now be 224 which refers to v 6969\n",
      "24 680 c,NFU. target V index will now be 234 which refers to v 6979\n",
      "created temp nbr list for county 25 with 27 21 original and target UPC\n",
      "created temp nbr list for county 35 with 33 22 original and target UPC\n",
      "county 37 does not need fusing; only has 17 vs max 22.48732\n",
      "created temp nbr list for county 40 with 65 33 original and target UPC\n",
      "created temp nbr list for county 45 with 42 23 original and target UPC\n",
      "created temp nbr list for county 50 with 71 33 original and target UPC\n",
      "created temp nbr list for county 65 with 19 13 original and target UPC\n",
      "created temp nbr list for county 70 with 70 39 original and target UPC\n",
      "created temp nbr list for county 75 with 290 190 original and target UPC\n",
      "created temp nbr list for county 80 with 44 14 original and target UPC\n"
     ]
    }
   ],
   "source": [
    "print(\"Now apply all FORCED fuses (multigeom VTDs made whole by fusing w another single VTD)\")\n",
    "cc = 24\n",
    "print(np.sum(fusedPops[cc]),\"county\",cc,\"pops before fusing its forced-fuse list\" )\n",
    "for i, v in enumerate(mustFuseList):\n",
    "    vv = fuseBuddyList[i]\n",
    "    c = countyNo[v]\n",
    "    vIdx, vvIdx = countyFragVTDs[c].index(v), countyFragVTDs[c].index(vv)\n",
    "    surroundedVTDs.append(v)\n",
    "    surrounders.append(vv)\n",
    "    fusedPops[c][vvIdx] += fusedPops[c][vIdx]\n",
    "    fusedGeoms[c][vvIdx] = fusedGeoms[c][vvIdx].union(fusedGeoms[c][vIdx])\n",
    "    fusedPops[c][vIdx], isWiped[c][vIdx] = 0, True\n",
    "print(np.sum(fusedPops[cc]), \"county\",cc,\"pops after the fusing operation\" )\n",
    "    \n",
    "# and now the additional fuses to reduce units / district.  Fuse within counties only\n",
    "maxUnitsPerDistrict = int(input(\"To speed computation, enter max number of units per district; e.g. 400\"))\n",
    "for c in nonunitCounties:    \n",
    "    if c not in barredVTDfusingCounties: #keeping these unfused to get 1:1 coreVTDs <--> coreUset\n",
    "        targetUnitsPerCounty = countyPop[c] / aDP * maxUnitsPerDistrict\n",
    "        nFusedUnits, nCFVs = 0, len(countyFragVTDs[c])\n",
    "        for wiped in isWiped[c]:\n",
    "            if not wiped:\n",
    "                nFusedUnits +=1\n",
    "        if nFusedUnits <= targetUnitsPerCounty:\n",
    "            print(\"county\",c,\"does not need fusing; only has\",nFusedUnits,\"vs max\",r5(targetUnitsPerCounty) )\n",
    "        else:  #create neighbor list of VTD frags in this county.  then fuse until county units suff'ly reduced\n",
    "            cNbrs = [list() for geo in fusedGeoms[c] ]  #neighbor list, excluding above surroundees\n",
    "            for ii, geo in enumerate(fusedGeoms[c]):\n",
    "                if not isWiped[c][ii]:\n",
    "                    for iii, nGeo in enumerate(fusedGeoms[c]):\n",
    "                        if not isWiped[c][iii] and ii != iii:\n",
    "                            if isRookAdj(geo,nGeo):\n",
    "                                cNbrs[ii].append(iii)\n",
    "                                cNbrs[iii].append(ii)\n",
    "            if c%5 == 0:\n",
    "                print(\"created temp nbr list for county\",c,\"with\",nFusedUnits,\n",
    "                      int(targetUnitsPerCounty),\"original and target UPC\")\n",
    "            while nFusedUnits > targetUnitsPerCounty + 1: #find smallest nonwiped frag, fuse w/smallest extant neighbor\n",
    "                vIdxList, vPops = list(), list()          \n",
    "                for jj, wiped in enumerate(isWiped[c]):\n",
    "                    if not wiped:\n",
    "                        vIdxList.append(jj)\n",
    "                        vPops.append(fusedPops[c][jj])\n",
    "                vOrder = np.argsort(vPops)\n",
    "                indexC = 0\n",
    "                foundNeighborlyV = False\n",
    "                vListIndex = vPops.index(np.min(vPops))\n",
    "                vIdx = vIdxList[ vListIndex ]\n",
    "                while not foundNeighborlyV:  #step from lowest pop to highest here to look for suitable fuse victim\n",
    "                    #vIdx = vIdxList[vOrder[indexC]]\n",
    "                    nList, nPops = list(), list()\n",
    "                    for nIdx in cNbrs[vIdx]:\n",
    "                        if not isWiped[c][nIdx] and nIdx != vIdx: #just in case\n",
    "                            nList.append(nIdx)\n",
    "                            nPops.append(fusedPops[c][nIdx] )\n",
    "                        else:  #this neighbor has been surrounded/fused.  Point to its surrounder as a fuse candidate\n",
    "                            surrFV = surrounders[ surroundedVTDs.index(countyFragVTDs[c][nIdx]) ]\n",
    "                            surrIdx = countyFragVTDs[c].index(surrFV)\n",
    "                            if surrIdx != vIdx :\n",
    "                                nList.append(surrIdx)\n",
    "                                nPops.append(fusedPops[c][surrIdx])\n",
    "                    if len(nList) == 0:\n",
    "                        #print(\"eschewing low-pop v\",countyFragVTDs[c][vIdx],\"in county\",c,\"cant be fused now; retrying...\")                      \n",
    "                        vListIndex = int(  (vListIndex+1)%len(vIdxList)  )  #KISS, just cycle through\n",
    "                        vIdx = vIdxList[ vListIndex ]\n",
    "                        #indexC += 1\n",
    "                        if nFusedUnits%10 == 0:\n",
    "                            print(c,nFusedUnits,\"c,NFU. target V index will now be\",vIdx,\"which refers to v\",countyFragVTDs[c][vIdx])\n",
    "                        #print(vOrder)\n",
    "                        #pause = input(\"ready to continue?\")\n",
    "                    else:\n",
    "                        foundNeighborlyV = True                        \n",
    "                        vvIdx = nList[nPops.index(np.min(nPops ) ) ]   #... and fuse to smallest neighbor \n",
    "                        fusedV, masterV = countyFragVTDs[c][vIdx], countyFragVTDs[c][vvIdx]\n",
    "                        surroundedVTDs.append(fusedV)\n",
    "                        surrounders.append(   masterV)\n",
    "                        for ijk, v in enumerate(surroundedVTDs): #update surrounds of surrounds\n",
    "                            if surrounders[ijk] == fusedV:\n",
    "                                surrounders[ijk] = masterV\n",
    "                                if debug3:\n",
    "                                    print(\"surrounder for\",v,\"changed from\",fusedV,\"to\",masterV,\"= indices ..\",vIdx, vvIdx)\n",
    "                        fusedPops[c][vvIdx] += fusedPops[c][vIdx]\n",
    "                        fusedPops[c][vIdx ] = 0\n",
    "                        isWiped[c][vIdx] = True\n",
    "                        nFusedUnits -=1\n",
    "                        if debug3:\n",
    "                            print(\"   \",c,nFusedUnits, vIdx, vvIdx,\n",
    "                                  \"c,nFusedUnits, wiped index, receiving index\",int(np.sum(fusedPops[c])))\n",
    "    # This county done. Now update the fused geometries for the surrounders in this county\n",
    "        for jj, vf in enumerate(countyFragVTDs[c]):\n",
    "            if vf in surrounders:\n",
    "                for ii,capturedVF in enumerate(surroundedVTDs):\n",
    "                    if surrounders[ii] == vf:\n",
    "                        vIdx = countyFragVTDs[c].index(capturedVF)\n",
    "                        fusedGeoms[c][jj] = fusedGeoms[c][jj].union(fusedGeoms[c][vIdx])\n",
    "                        \n",
    "                    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "81420c41-3a57-467c-be3b-d2372efa47d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data integrity after fuse operation in county 76\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "areasum = 0.11667888796649978 vs county area 0.11667888796649958\n",
      "popsum = 540427 vs county total pop 540428.0\n",
      "540428.0\n"
     ]
    }
   ],
   "source": [
    "c = 76\n",
    "print(\"data integrity after fuse operation in county\",c)\n",
    "cPOP = 0.\n",
    "areaSum = 0.\n",
    "for i, geo in enumerate(fusedGeoms[c]):\n",
    "    if not isWiped[c][i]:\n",
    "        plotPoly(geo)\n",
    "        plotCenter(\"N\",geo)\n",
    "        areaSum += geo.area\n",
    "        cPOP += fusedPops[c][i]\n",
    "    else:\n",
    "        plotPoly(geo,0.3)\n",
    "plt.show()\n",
    "print(\"areasum =\",areaSum,\"vs county area\",countyGeom[c].area)\n",
    "print(\"popsum =\",int(cPOP),\"vs county total pop\",countyPop[c])\n",
    "print(np.sum(fusedPops[c]))\n",
    "for v in countyFragVTDs[c]:\n",
    "    if v in surroundedVTDs:\n",
    "        pass\n",
    "        #print(v,\"is surrounded by\",surrounders[surroundedVTDs.index(v)] )\n",
    "    surrL = list()\n",
    "    if v in surrounders:\n",
    "        for ii, vv in enumerate(surroundedVTDs):\n",
    "            if surrounders[ii] == v:\n",
    "                surrL.append(vv)\n",
    "        #print(\"   \",v,\"surrounds fragVTDs\",surrL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "35d74720-ca93-4a28-8660-79303df5f834",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, geo in enumerate(fusedGeoms[c]):\n",
    "    if not isWiped[c][i]:\n",
    "        plotPoly(geo.buffer(-0.001))\n",
    "        plotCenter(\"i\",geo)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9f15583c-4809-44fd-ae6b-e01a3c74bc6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: cPops vs county Pop.  Below = sum area for fused Geoms / county area - 1.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in nonunitCounties:\n",
    "    plt.scatter(c,np.sum(fusedPops[c])/countyPop[c])\n",
    "plt.show()\n",
    "print(\"above: cPops vs county Pop.  Below = sum area for fused Geoms / county area - 1.\")\n",
    "for c in nonunitCounties:\n",
    "    liveList = list()\n",
    "    for i in range(len(isWiped[c])):\n",
    "        if not isWiped[c][i]:\n",
    "            liveList.append(i)\n",
    "    plt.scatter(c,np.sum([fusedGeoms[c][i].area for i in liveList]) / countyGeom[c].area - 1.)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9ae5fc3b-55a2-4c64-abef-1e488b0a7df3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for Ohio -- simplify topology near Danbury and Marblehead\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"special for Ohio -- simplify topology near Danbury and Marblehead\")\n",
    "for c in [21, 61]:\n",
    "    for i, geo in enumerate(fusedGeoms[c]):\n",
    "        if geo.centroid.x > -82.9 and geo.centroid.y > 41.43 and not isWiped[c][i]:\n",
    "            plotPoly(geo,c/61.)\n",
    "            plotCenter(i,geo,12)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "bc5ffea2-c292-4f86-9ab7-c5649d0824b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the vtd numbers for Ottawa 20 and Erie 45\n",
      "fragVTDnumbers are 933 3750 . ensure they are linked in below neighbor lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the vtd numbers for Ottawa 20 and Erie 45\")\n",
    "v61 = countyFragVTDs[61][20]\n",
    "plotPoly(fragVTDgeom[v61])\n",
    "plotCenter(v61,fragVTDgeom[v61])\n",
    "v21 = countyFragVTDs[21][45]\n",
    "plotPoly(fragVTDgeom[v21])\n",
    "plotCenter(v21,fragVTDgeom[v21])\n",
    "print(\"fragVTDnumbers are\",v61,v21,\". ensure they are linked in below neighbor lists\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8757067a-fa1a-48e9-985f-00e231bc81c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now force surrounds in Danbury-Marblehead area.  \n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now force surrounds in Danbury-Marblehead area.  \")\n",
    "cList = [21,61]\n",
    "cSurrounded = [  [ 34 ],  [ 13, 15, 16, 21, 25, 26, 35  ]  ]\n",
    "cSurrounders =  [2, 20]\n",
    "for i,c in enumerate(cList):\n",
    "    plotPoly(fusedGeoms[c][cSurrounders[i]])\n",
    "    for idx in cSurrounded[i]:\n",
    "        plotPoly(fusedGeoms[c][idx],0.1)\n",
    "        sIdx = cSurrounders[i]\n",
    "        isWiped[c][idx] = True\n",
    "        fusedPops[c][sIdx] += fusedPops[c][idx]\n",
    "        fusedPops[c][idx] = 0\n",
    "        if c != 21:  #For county 21, dissolve island; do not fuse to prevent false cross-county connection\n",
    "            fusedGeoms[c][sIdx] = fusedGeoms[c][sIdx].union(fusedGeoms[c][idx])\n",
    "        surroundedVTDs.append(idx)\n",
    "        surrounders.append(   sIdx)\n",
    "        for ijk, v in enumerate(surroundedVTDs): #update surrounds of surrounds\n",
    "            if surrounders[ijk] == idx:\n",
    "                surrounders[ijk] = sIdx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "09861939-4473-4c67-8a4d-fe086fed64a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "sdedLists = [ [5881,5883, 5884]] #[ [1006, 925, 926, 927, 928, 935, 937, 986, 988], [3739] ] \n",
    "sders = [5882 ]  #[933, 3622]  #done in above loop instead"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fd6434ce-3e04-42d7-aaef-3d8c0d209852",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jW1R2WloaqqqqMGPGjCaPWbNmDXr27ImBAwc6tpWUlDRIfAA4XpeUlDRZltlshtlsdrzW6XQtipMQIbhuuo4aWw0iNJT8EEKEz7G8hTvO8BwXF4fMzEwcPnwYzz//PKZPn44zZ84AABYtWoSqqipkZGTg2LFjmDdvHiZPnoysrKwWlb1mzRqMHj0aoaGhje6vqanBhg0bGtT63Illy5bB29vb8YiIoC8R4j6u6K8AoGHuhBD34NY1P3K53FGT079/fxw9ehQffvghXn31VXz88cfIzs5GYmIiACA5ORkHDhzAypUrsXr16tuWm5+fj4yMDGzdurXJY77++msYjUZMmzatwfaQkBAcOXKkwbZr16459jVlwYIFmDdvnuO1TqejBIi4jQJ9AQAg3DOc50gIIaR5rCMtb8FxHMxmM4xGY22B4oZFSiQScFzzw9tSU1MRFBSEsWPHNnnMmjVr8PDDDyMwMLDB9pSUFGRlZaG0tNSxLT09HRqNxtEk1xiFQuEYtl/3IMRdFOoLEeARAJVMxXcohBDSLCHV/DiV/CxYsAD79+/H5cuXkZWVhQULFmDv3r146qmnEB8fj9jYWMyaNQtHjhxBbm4u/vnPfyI9PR2PPPKIo4xhw4bh448/blAux3FITU3F9OnTIZU2Xhl18eJF7N+/H88+++wt+0aMGIGEhARMnToVJ0+exK5du7Bw4ULMnj0bCoXCmUskxG1QZ2dCiDsRUp8fp5q9SktLMW3aNBQXF8Pb2xtJSUnYtWsXhg8fDgDYuXMn5s+fj/Hjx6O6uhqxsbFYt24dxowZ4ygjNzcX5eXlDcrNyMhAQUEBZs6c2eS5165di/DwcIwYMeKWfRKJBDt27MDzzz+PlJQUqNVqTJ8+HYsXL3bm8ghxK4X6QkRpovgOgxBCWoQJaHkLEauLhkCn08Hb2xtarZaawIjgDdo0CI/HP47nk5/nOxRCCGnW1gtb8ebBN3Fq2qk2r/1x9vub/15HhBCnGawGVJgqqNmLEOI2hNTsRckPIW6IVnMnhLgbBiaIJi+Akh9C3BIlP4QQd8MYE8Qwd4CSH0LcUqG+EGqZGr4KX75DIYSQFmGMan4IIXegbpi7ENrOCSGkJThwgvnMouSHEDdEc/wQQtwN1fwQQu7IFf0VhHvRshaEEPfBQH1+CCGtZLVbUWwoRqRXJN+hEEJIizHGqNmLENI6RdVF4BhHzV6EELfCMY6avQghrUPD3Akh7oiBan4IIa1UqC+EVCxFsCqY71AIIaTFGGMQCyTtEEYUhJAWK9QXItwzHBKxhO9QCCGkxThwEEirFyU/hLgbGulFCHFHNMMzIaTVaI4fQog7YqBmL0JIK3CMw5XqK5T8EELcDg11J4S0SpmxDGa7mZIfQojboaHuhJBWoWHuhBB3RUPdCSGtUpf8hHmG8RwJIYQ4h4a6E0JapVBfiCBVEJRSJd+hEEKIUxgYDXUnhDjvip46OxNC3BPHOBrqTghxHg1zJ4S4KwZGHZ4JIc4r0BfQau6EELdEkxwSQpymNWuhs+io5ocQ4pYYGN8hOFDyQ4ibuKK/AoCGuRNC3BP1+SGEOK1umDut60UIcUfU7EUIcVqhvhAauQbeCm++QyGEEKdRh2dCiNNopBchxJ1xjKMZngkhzqHkhxDizqjmhxDiNEp+CCHujPr8EEKcYrabUWospeSHEOK2aKg7IcQpRfoiMDAa6UUIcVs01J0Q4pS6Ye5U80MIcVeMUZ8fQogTCvWFkIvlCFIF8R0KIYS0CgP1+SGEOKFQX4hwr3DBfHAQQoizGKM+P4QQJxToC6jJixDi1jhQnx9CiBOu6K9Q8kMIcWtuO9R91apVSEpKgkajgUajQUpKCr777jvH/pKSEkydOhUhISFQq9Xo168ftmzZctsyo6KiIBKJbnnMnj27wXGHDh3C0KFDoVarodFo8OCDD6Kmpua25SxfvtyZyyNEkOycHVeqKfkhhLg3IU1yKHXm4PDwcCxfvhzdu3cHYwzr1q3DhAkTcOLECSQmJmLatGmoqqrC9u3bERAQgA0bNmDy5Mk4duwY+vbt22iZR48ehd1ud7zOzs7G8OHD8dhjjzm2HTp0CKNGjcKCBQvw0UcfQSqV4uTJkxCLG+ZuixcvxnPPPed47eXl5czlESJI14zXYONslPwQQtyakJa3cCr5GT9+fIPXS5YswapVq/DLL78gMTERBw8exKpVqzBgwAAAwMKFC/H+++/j+PHjTSY/gYGBDV4vX74cMTExGDRokGPb3Llz8eKLL2L+/PmObXFxcbeU5eXlhZCQEGcuiRDBo2HuhJCOoEMMdbfb7di4cSMMBgNSUlIAAAMHDsSmTZtQUVEBjuOwceNGmEwmDB48uEVlWiwWrF+/HjNnznRkh6WlpTh8+DCCgoIwcOBABAcHY9CgQfjpp59uef/y5cvh7++Pvn374t1334XNZrvt+cxmM3Q6XYMHIUJTqC+EWCRGmGcY36EQQkirCWmou1M1PwCQlZWFlJQUmEwmeHp6Ytu2bUhISAAAbN68GVOmTIG/vz+kUilUKhW2bduG2NjYFpWdlpaGqqoqzJgxw7EtLy8PAPDWW29hxYoV6NOnDz7//HMMGzYM2dnZ6N69OwDgxRdfRL9+/eDn54eDBw9iwYIFKC4uxnvvvdfk+ZYtW4a3337b2VtAiEsV6gsRogqBTCLjOxRCCGk1IQ11dzr5iYuLQ2ZmJrRaLb7++mtMnz4d+/btQ0JCAhYtWoSqqipkZGQgICAAaWlpmDx5Mg4cOIDevXs3W/aaNWswevRohIaGOrZxHAcAmDVrFn7/+98DAPr27Ysff/wRa9euxbJlywAA8+bNc7wnKSkJcrkcs2bNwrJly6BQKBo934IFCxq8T6fTISKCmhaIsNCCpoSQjkBIQ92dTn7kcrmjJqd///44evQoPvzwQ7z66qv4+OOPkZ2djcTERABAcnIyDhw4gJUrV2L16tW3LTc/Px8ZGRnYunVrg+1dunQBAEftUp2ePXuioKCgyfLuuece2Gw2XL58udH+QQCgUCiaTIwIEYor+itI8E9o/kBCCBEwxphgOjzfcQrGcRzMZjOMRmNtgTeNwJJIJI7am9tJTU1FUFAQxo4d22B7VFQUQkNDkZOT02D7+fPn0bVr1ybLy8zMhFgsRlAQLQdA3BdjjGp+CCEdAmMMYoFML+hUzc+CBQswevRoREZGQq/XY8OGDdi7dy927dqF+Ph4xMbGYtasWVixYgX8/f2RlpaG9PR07Nixw1HGsGHDMHHiRMyZM8exjeM4pKamYvr06ZBKG4YkEonwyiuv4M0330RycjL69OmDdevW4dy5c/j6668B1A6FP3z4MIYMGQIvLy8cOnQIc+fOxdNPPw1fX987uT+E8Oq66TqqrdWI0kTxHQohhNwRBgaBDPZyLvkpLS3FtGnTUFxcDG9vbyQlJWHXrl0YPnw4AGDnzp2YP38+xo8fj+rqasTGxmLdunUYM2aMo4zc3FyUl5c3KDcjIwMFBQWYOXNmo+f985//DJPJhLlz56KiogLJyclIT09HTEwMgNrmq40bN+Ktt96C2WxGt27dMHfu3Ab9eQhxR3lVtR3+u/l04zkSQgi5MxzjBFPzI2JC6n7NM51OB29vb2i1Wmg0Gr7DIQSbzm3C8iPLceTpI5CJabQXIcR9zds7D0arEauH374PcGs4+/0tjBSMENKoPG0eIjQRlPgQQtweY8Jp9qLkhxABu6S9hGjvaL7DIISQO8YgnA7PwoiCENKoPG0eunlTfx9CiPsT0tpelPwQIlAGqwHXjNeo5ocQ0iEIaai7MKIghNzisvYyAFDNDyGkQxDSUHdKfggRqDztjWHulPwQQjoAIQ11F0YUhJBbXNJeQpAqCGqZmu9QCCHkjjF0oOUtCCHtg0Z6EUI6EsaYYBY2FUYUhJBb0EgvQkhHwiCcOZWdXtWdENL+rJwVBfoCPBH/BN+hkE7AaDUipzIHZ66fwZny07iqK8CSQf9AqGco36GRDoRjnGBqfij5IUSA9BY9bJwNQaogvkMhHYzeose5inM3Ep1snC3PxuXqIjAwyMUyhKtCkFddiCv6K5T8kDbFwCASyHAvSn4IETChfFAQ91RlqsKZijM4e/0szpZn40x5NgqNJQAApViOOO9o3Bt2P37vn4AE/wRE+0QjryoPv/vmd1DJVDxHTzoaxoTT4ZmSH0IEyGwzAwDkEjnPkRB3UV5TjjPX6xKdLJy9fgZXa8oAAGqpB+K9YzGo60NIuJHoRGmiIBFLbinHYDUAAFRSSn5I22IQTodnSn4IEaCSG3+dB6uCeY6ECA1jDNeM12oTnYqzOFt6CmcrzqHUXAEA0Mg80dOnO0ZGj0XPG4lOhFdEi790jDYjAFDND2lzHOMEU5tNyQ8hAlRcXQwACFGH8BwJ4RNjDEXVRfUSnZM4W3keFRYtAMBP7o2evnGY0GMSevr3RE+/ngjzDLujpgVHzQ8lP6SNCWmoOyU/hAhQibEEXnIveMo9+Q6lw9Bb9Pjv6f/CV+GLkVEjEagK5DukBjjGoUBXgLMVZ2uTndKTOFN1HvobyUiQwg8J/vGY0vNJ9PTriZ7+PRGsCm7zPhRG642aH2r2Im2MhroTQm6ruLqYan3a2M9Xf8Z/Tv0HAPDu0XcxIKgvHol7DGO6jXF5J0wbZ8Nl7WVHonOmNBPnqi7CaDcBAEI9AtHTryemJ/4eCf4J6OnfEwEeAS6JzWgzQiGWQyqmrwfStmioOyHktkoMJeii7sJ3GB2KTCwDAOyYuAPHrx3HtxfSMP/AfGRc+h5vP7AEGrmm3WPQW/T4b3Yqvjy7HgZbDQAgUtUFPQMS8eCNzsg9/XrCR+nT7rE0xWg1QiVV8nZ+0nHRUHdCyG2VGEuQFJDEdxgdSl1zTog6BI92fxSPdn8UP+b/iEU/vY4p23+Hfw75AAn+Ce12/oNFB/HavpdRYzfjifgn8GDEIMT7xcNL7tVu52wNo80IldSD7zBIBySkPj/CiIIQ0kCxoRhdPKnmpy0ZrAZIRRLIxb9NHzCs6zBsevgraOReeHrnU9h49v/AWNv3S+AYh78fXoJu3t3w7aM78Ze7X8bdIXcLLvEBau+TSkI1P6Tttce/rdai5IcQgTFajdCatTTMvY0ZrAaopB639O+J8IrAF2P/D7/rPglLjizFX/b8GWeun2nTD+p9hfuQpy/A3LtfRrBa2P9fjVYD1FTzQ9oBB+rzQwhpQt0cP9Tnp20ZbvOlLpfI8dd7F+KukAFY+ss7mLJjCmK8IjGu+0SMix53x53PU0/9B339e6FvUN87KscVjBY9VDI132GQDogx4fT5EUYKRghxKKm+kfxQs1ebMtqMzdZojIgagYzJe/DJsE8Q59cT/85chVFbRmLejy/iaMnRVtUGnSg9gRPXs/H7pD+0NnSXMpr1UAmwOY64PwZa3oIQ0oQSYwlEENGipm3MYDFAJWm+OUcqluKB8AfwQPgDMFgN+Cb3G/zfmS8wc9dMdNd0wxOJUzG229gWTwK49uR/EO0ViUERg+70ElzCaDXAnxY0Je1ASB2eKfkhRGCKDcUI9Ah0DM0mbcNg0UEtd645Ry1T4/H4xzElbgp+Kf4F/3fmC7xz6B28f/SfeKLnk/h9r5lQy9SosdWg2lqNaks1dBad43mBvgB7r/6ExQMXC+ZDvzkGWw3N7kzaBQda3oIQ0oQSQwlNcNgOjGYd1K2cy0ckEiElNAUpoSkoqi7ChjNfYt3pdUg9nQrGGGzM3vj7IMLD3cZiQuyEOwndpYz2Gqipzw9pB1TzQwhpUrGBZnduDwZrdZs054R5huGVAa9iWuJ07Lq8CwqJAp5yT3jJvWqXJJF5On6qZCrBfNi3lNFmopof0i6ENNSdkh9CBOaa4RrifOP4DqPDMdhqnG72up1gdTCmJU5rs/KEwmiroXW9SLtgEE7NjzCiIIQAqP3LqNhQTMPc24HRRs05zbFzdpg4C90n0i44Jpw+P5T8ECIgleZKmO1mSn7agYGSn2YZbbVLgHjIaJJD0vao5ocQ0qgSQ+0cP9Tnp+0Z7NSc05y69c/UUkoSSdtjjEEgFT+U/BAiJMWGYgCU/LQ1q90KK2ejmp9m1NX8UIdn0h44xkEskLRDGFEQQgDU1vzIxXL4Kf34DqVDMVgNAEDJTzPqan6ohoy0ByHN8EzJDyECUjfHj1A+IDoKqtFombr7REkiaQ+0thchpFE0x0/7oJqflqm7T5Qkkvbgth2eV61ahaSkJGg0Gmg0GqSkpOC7775z7C8pKcHUqVMREhICtVqNfv36YcuWLbctMyoqCiKR6JbH7NmzGxx36NAhDB06FGq1GhqNBg8++CBqamoc+ysqKvDUU09Bo9HAx8cHzzzzDKqrq525PEJ4R7M7tw/Hlzo159wWNXuR9sQxTjC12k4lP+Hh4Vi+fDmOHz+OY8eOYejQoZgwYQJOnz4NAJg2bRpycnKwfft2ZGVl4dFHH8XkyZNx4sSJJss8evQoiouLHY/09HQAwGOPPeY45tChQxg1ahRGjBiBI0eO4OjRo5gzZw7E4t/Cf+qpp3D69Gmkp6djx44d2L9/P/7wB/dYRZmQOjTHT/twjGKimp/bMtqMEEEEpVTJdyikA2Jggunw7NQMz+PHj2/wesmSJVi1ahV++eUXJCYm4uDBg1i1ahUGDBgAAFi4cCHef/99HD9+HH379m20zMDAwAavly9fjpiYGAwa9NsKyHPnzsWLL76I+fPnO7bFxf02A+7Zs2fx/fff4+jRo7jrrrsAAB999BHGjBmDFStWIDSUVigmbYMxBo5xYGBgjIGh9jXHOABw7OMY12B/3fENnuPGMTeOszEbymvKqeanHRhs1OzVEgarAR4ShWCaJkjHIqSh7q1e3sJut+Orr76CwWBASkoKAGDgwIHYtGkTxo4dCx8fH2zevBkmkwmDBw9uUZkWiwXr16/HvHnzHFVjpaWlOHz4MJ566ikMHDgQubm5iI+Px5IlS3D//fcDqK0Z8vHxcSQ+APDQQw9BLBbj8OHDmDhxYqPnM5vNMJvNjtc6na41t4I0YXfBbnyT+01tcgAOYHB84df/4nc8v03S0OhxjSQULU5GWljOzce5QqRXpEvO05lQX5aWMdqMUEtpgkPSPty25gcAsrKykJKSApPJBE9PT2zbtg0JCQkAgM2bN2PKlCnw9/eHVCqFSqXCtm3bEBsb26Ky09LSUFVVhRkzZji25eXlAQDeeustrFixAn369MHnn3+OYcOGITs7G927d0dJSQmCgoIaXphUCj8/P5SUlDR5vmXLluHtt9928g6QlsrIz8Avxb+gb1BfiEViiEQiSCCBWCx2/GUpFokhQm0/r7rn9ffV31+37+bjRSIRxBA7+os5ntc7TgwxIIJjX6PvrSu//ntvKrdB3DfFJBb9do5G427qeb04lRIlEvwTePt/1lEZrAbIxTLIxDK+QxE0o9UIFSU/pJ0Iqc+P08lPXFwcMjMzodVq8fXXX2P69OnYt28fEhISsGjRIlRVVSEjIwMBAQFIS0vD5MmTceDAAfTu3bvZstesWYPRo0c3aKbiuNq/4GfNmoXf//73AIC+ffvixx9/xNq1a7Fs2TJnL8FhwYIFmDdvnuO1TqdDREREq8sjDfkqfRHgEYBPHvqE71BIJ2e0Uo1GS9QmP9Tfh7QfoTSpOp38yOVyR01O//79cfToUXz44Yd49dVX8fHHHyM7OxuJiYkAgOTkZBw4cAArV67E6tWrb1tufn4+MjIysHXr1gbbu3Sp7fxZV7tUp2fPnigoKAAAhISEoLS0tMF+m82GiooKhIQ03X9CoVBAoVC04KpJa/gqfVFpruQ7DEJgsBqoRqMFjNZqGulF2k1ddwQhuOMUjOM4mM1mGI21oynqj8ACAIlE4qi9uZ3U1FQEBQVh7NixDbZHRUUhNDQUOTk5DbafP38eXbt2BQCkpKSgqqoKx48fd+zfvXs3OI7DPffc06rrInfOV+ELrVkLG2fjOxTSyRmsBqgllPw0x2DWQUWdwkk74RjnnjU/CxYswOjRoxEZGQm9Xo8NGzZg79692LVrF+Lj4xEbG4tZs2ZhxYoV8Pf3R1pammPoeZ1hw4Zh4sSJmDNnjmMbx3FITU3F9OnTIZU2DEkkEuGVV17Bm2++ieTkZPTp0wfr1q3DuXPn8PXXXwOorQUaNWoUnnvuOaxevRpWqxVz5szB448/TiO9eOSr9AUAVJmrEOARwHM0pDMzWqup2asFqs1aBHiF8R0G6aAYhDPDs1PJT2lpKaZNm4bi4mJ4e3sjKSkJu3btwvDhwwEAO3fuxPz58zF+/HhUV1cjNjYW69atw5gxYxxl5Obmory8vEG5GRkZKCgowMyZMxs975///GeYTCbMnTsXFRUVSE5ORnp6OmJiYhzHfPnll5gzZw6GDRsGsViMSZMm4V//+pczl0faWN36VJWmSkp+CK8MZh1Uck++wxA8nVWPaIU332GQDoox4czw7FTys2bNmtvu7969e7MzOl++fPmWbSNGjKgd/38b8+fPbzDPz838/PywYcOG25ZBXKt+zQ8hfDJY9NDQYrHN0lqqoZFr+A6DdFBCqvkRRgpGOqS65KfCVMFzJKSz01q08FTQl3pzdNZqeFPND2knQhrqTskPaTdeMi9IRVJUmmjEF+FPpakSOdrLSApM5jsUQbNyVhjtJqr5Ie1KKM1ewoiCdEgikQg+Sh9Kfgiv9l3ZBwaGQRGDmj+4E9Nb9ABAyQ9pNx1qqDsht+Or9KVmL8KrPZfTkeTXkzrdN0Nnrl3eR0PNg6SdCKnDszCiIB2Wn8KPJjokvDHZTDhUchhDokbwHYrg6Sw3kh+q+SHthANHHZ5J5+Cr9EWVqYrvMEgn9UvxL6ixmzEkcgjfoQieyWYCAHjQfEikvTDq80M6CR+FDyrM1OxF+LEn/0dEqcMQ7R3NdyhuQyh/mZOOhwP1+SGdhJ/Sjzo8E17YOTv2Fu7BkKjhfIfiFhhuP9caIXeK+vyQTqOu2au5SSwJaWtZ5VmosGgxJHIo36G4F6r4Ie2AMUaTHJLOw1fpCxuzOTpTEuIquwt2w0/ujaSAJL5DcQtU80PaU93vF9X8kE6hbn0vWuKCuNqe/B8wOGIIJGIJ36G4FaH8ZU46lrraf5rhmXQKvoraJS6o3w9xpUvaS7hcXYQhXYfxHYrboKZp0p7qOjsLJbmm5Ie0Kx+lDwBa34u41p7CPfCQKHBvl3v5DsXtCOUvc9LB3MitqdmLdAo+Ch8AVPNDXGvPpV1ICbkHSqmS71DchpWzAgCkIinPkZCOSEjD3AFKfkg7k4ql8FZ40yzPxGXKa8pxsuIsDXF3Ut3aXl5yL54jIR1RXbMq1fyQTsNX4Us1P8Rl9hXugwgiDAqnhUydUW2phkQkphmeSbuoW9SU+vyQToMmOiSutOfyD+gTkAhfpS/fobgVvVUPL6ma+vyQdkU1P6TToCUuiKsYrUb8cu0YhkaN5DsUt6Oz6OAlU/MdBumg6mp+BFLxQ8kPaX++Smr2Iq5x6OohmDkLhkTQQqbOqrZUw5OSH9JOHJMcCiTtEEYUpEOjZi/iKrsLMhDjFYlITSTfobgdvakKGpkn32GQDsrR50cgzaqU/JB2RzU/xBVsnA37C/dhSFca5dUaenMVvKifFGlnVPNDOg1fpS9MdhNqbDV8h0I6sMzSTFRZ9bSQaSvpLTp43piXi5C2RjU/pNPxU9Su70W1P6Q97SnYjUCFL3oF9OI7FLektxrgpaA5fpzBMQ6fnfoUfzu4GMXVxXyHI2hCG+pOU3mSdle3xEWlqRKhnqH8BkM6JMYY9uSnY1DEUMEMpXU31VYDTXDohEpTJRbsewUHS47AS6bG1txt+F33SXguaRYCVYF8hyc4tKo76XTqVnan9b1Ie8mtykWhsQRDulKTV2vprQZo5Bq+w3ALB4sOYvL2SThdcQarH1qN9Md+xPPJz2NH3g6M3jIKK098xHeIgkOrupNOp26yOVrigrSXPYV7oJIocU+Xe/gOxS1Z7VaYOAs8abTXbWnNWiw8sACzMmahq1cENo/fgoFhA6GSqfBc0h/w/e9+wCPdJ2L1qf+gxFDCd7iCUlfzQ81epNNQSBRQSVXU54e0mz2Xd+G+0BQoJAq+Q3FLemvtul6eckp+AOBi5UXkVObAQ+qBUM9QdFF3wdGSo1hyaDFMdjPeSnkLj3Z/9JZaDI1cg4ndJ2JTziZcN11HiDqEpysQHqF1eKbkh7gEDXcn7aXUWIqsyhw8kTid71DclsFqAACq+QFQqC/E776ZBDu7dRXywWH3Y2HKWwhWBzf5fhrgcXtCGepOyQ9xCV+FLzV7kXaxt3AvJCIxHgx/kO9Q3JbRagQAqKQqniPh3+Zzm6CWqrBz0vewclZcrb6Kq4ar8JJ5YWDowGZrLhzN/JT8NCC05S0o+SEu4av0pQ7PpF3sufwD+gckwVvhzXcobstoq01+1J18eQuTzYRtF7ZiYvdHHb9PAR4BSApManEZSqkSHhIlfd7dhEZ7kU6Jmr1IezBYDThcehxDaCHTO1LX7KWSde6an+8vfw+tVY/JcVPuqBw/uYY+725C8/yQTslP6YfM0ky+wyAdTHp+OqycDYMjBvMdiltzNHt1guSHYxy0Zi0qTZWoMFWg0lzpeP7VuY24L+SeO14bzlfhjUqq+WmotuJHMDU/lPwQl/BVUp8f0rZsnA2fZq7CkLAHEO4Vznc4bs1R8+OGfX5snA1V5qraRMZUeWtSYyxDpbEMleYqVFp0qLLowaFhZ2aJSAwfuQY9fePxxn2L7zgmX6U/Koxld1xOR1J3z6nmh3Qqvgpf6C16WDkrZGIZ3+GQdnSi9AQ2nP4CEd5RiPGJQbR3NKK8o+Ah9Wizc5QaS/HOz2+iwHAV7w55v83K7ayMNiMUYjmkYmF/Jdg5O945+CbyKs+j0qxFhUUHnbX6luOkIin8FBr4yr3hq/BBoGco4oKS4Kf0g6/SF36K2p++Sl/4Kf3gJfdq0xoJX1Ug8isvtFl5HYHQJjkU9m866TDqRkBUmapo6vcObtPZDfj56s/wuHYcpebaqn8RRAhVBSFaE4UYv3hE+8Sgm3c3RPtEOzWrMGMM2y5uw4ojf4dcosAHQz5Agn9Ce11Kp2G0GqGSKvkOo1nlNeXYkvs/pHS5Fw+G3O1IXnwVvyUyvkpfeMo8ef2S9fPwR2bJMd7OL0R1NT9u2ey1atUqrFq1CpcvXwYAJCYm4o033sDo0aMBACUlJXjllVeQnp4OvV6PuLg4vP7665g0aVKTZUZFRSE/P/+W7S+88AJWrlwJABg8eDD27dvXYP+sWbOwevVqx+vGftH/7//+D48//rgzl0jaSV3yU2GqoOSngztx7Tge6T4Jrw54FXqLHnnaPORV5eGS9hJyK3KQcfl7FBlLHaM/AhW+iNZ0RbRfT0T7RCPmRmLkr/Rv8O/6iv4K3v55EX65dgwPdxuLV+9ZQCO82ojRZoSqDWvm2ovBVts8Nyv5j+gf3J/naJrmq/RFpUXLdxiC4qj5ccdmr/DwcCxfvhzdu3cHYwzr1q3DhAkTcOLECSQmJmLatGmoqqrC9u3bERAQgA0bNmDy5Mk4duwY+vbt22iZR48ehd1ud7zOzs7G8OHD8dhjjzU47rnnnsPixb+1xapUt7ZNp6amYtSoUY7XPj4+zlweaUeOib+o30+HVmIowdWaMscXk5fcC8mByUgOTG5wnMlmwmXdZeRV5SFXm4tLlRdwpOgnfHV+M2ys9vNAI/NEjFckov3ioFH4YOO5/4O33AurHlqF+8Pud/m1taUaXSWulxbV28IAiODI9W76Y46x2v+IpTJ4+QbC08sHInHb/QVtsBpgtlvwbd636KLuglDPUAR4BPDSDFZiKEGwKrjRP2jrOmYLfUi+r8IXepsRVrsVMgk18wNu3uw1fvz4Bq+XLFmCVatW4ZdffkFiYiIOHjyIVatWYcCAAQCAhQsX4v3338fx48ebTH4CAxvWAixfvhwxMTEYNGhQg+0qlQohIbefKtzHx6fZYwg/6jd7kY7r12u/AgD6BPW57XFKqRLxfvGI94tvsN3KWVGoL0ReVV5tjVHlRZwpPYmimlI8HDMec+/6i+C/+BpTWnQJ5hoDIBJBxBjkam+ExSQ6/UVgs5ihrbyGorKrN7bUJk23EIkAVlu35qGUw9svGDIPzS1JVZ0evj3wbe43mH9gvmObRCRGsNIfIaogBKi7wF8VCH+lP/w9/H/7eeO5so2azNadXocVx1agh3c0ZvR+FqO6jWrQR7CuY7ZaKuzfgbrFnCvNlQhSBfEcjTB0mA7PdrsdX331FQwGA1JSUgAAAwcOxKZNmzB27Fj4+Phg8+bNMJlMGDx4cIvKtFgsWL9+PebNm3fLh8KXX36J9evXIyQkBOPHj8eiRYtuqf2ZPXs2nn32WURHR+OPf/wjfv/739/2w8VsNsNsNjte63S6Fl49cZZapoZMLKOJvzq4X68dR5Q6DP4e/q16v0wsQ7R3NKK9o9s4Mn5oy4pQef0agsJjEBTW7Y7Lk8oV8A+OBJpeXaEBxhgMNSaUVpSCmQob7nMkTgz3iOOwacCnUAUHodKux9Xqqyg2FNc+9EW4bijBpcoLuH5jxFRdk2UdtdQD/nIf+Ct94a8Kgr862JEgBXoEoqd/z2bXufpvdir+efw9PNb9dyipLsJff/or/nX8fUxNnIFJPSZBLVO7zXxE9Wd5puSnVl3Nj1v2+QGArKwspKSkwGQywdPTE9u2bUNCQm2Hw82bN2PKlCnw9/eHVCqFSqXCtm3bEBsb26Ky09LSUFVVhRkzZjTY/uSTT6Jr164IDQ3FqVOn8NprryEnJwdbt251HLN48WIMHToUKpUKP/zwA1544QVUV1fjxRdfbPJ8y5Ytw9tvv+3sLSCtIBKJaImLTiCnPBvFNWX4/bdPIS6gF+L84hHnF4dYn1jIJXK+w3MZxnEovHgKHl5+iIrvx1scIpEInioPeKq6NnssZ7fjWlEe5BYzouCLKIkvRJoEiLyBwNAoyD1q1/2yc3ZUmitxveZ67cNU76exDNcNJSjUXcZ1sxYVZq3jL/5gpT+SApORHNwPyYHJ6Onf07EQ7dqsNXj/1w/wh97PYU7fP0EkEuF85Xmsy1qD94+/h9UnP8GUuMfhcyOp4KP2j7Nz0FdrYagqB2e98UdzY39cMwbrjY7+ZTVliEOcC6MULqGt6i5idelYC1ksFhQUFECr1eLrr7/GZ599hn379iEhIQF/+tOfcOTIESxduhQBAQFIS0vD+++/jwMHDqB3797Nlj1y5EjI5XJ88803tz1u9+7dGDZsGC5evIiYmJhGj3njjTeQmpqKwsLCRvcDjdf8REREQKvVQqNp+QgU0jK/2/479Anqg4X3LuQ7FNJOcipysP/KfpwrP43zFWeRbygGA4NUJEGUZxji/BMR75+AHn49EOcb1+oaIiHTVpShoiQf4d2TIJO5f8Jnt3O4dvUSOLOxtvPRjS98sViCwPBoyORNN3lxjEOpsRSny0/jZNlJnCw5ijOV52HiLJCKpIj3jkYXTSTSCzLwx6RZeKHP7Ftq60sMJfji9Of4+vxXMNpNEEOMzGmZre47wtnt0FeVQ19ZBgZ2o+4LaKz50LFFVNsfy0PlBS/fAMgUt695snE23LX+LswfMB+Px9OgGwA4e/0sJu+YjE3jNrXLCE2dTgdvb+8Wf387XfMjl8sdNTn9+/fH0aNH8eGHH+LVV1/Fxx9/jOzsbCQmJgIAkpOTceDAAaxcubLByKzG5OfnIyMjo0FtTlPuueceALht8nPPPffgnXfegdlshkKhaPQYhULR5D7S9mh9r44vzi8OcX6//aVrtBpxoeoCcipykFNxDjllWdhduAc1dhOA2pFePXy6Iz6wN+4Luw93h9zNV+htouDCKShUnuiWcBffobQZiUSM0IhbP2dtVitKi/Jgt1kabJcpPBDYJQoSqRRikRgh6hCEqEMwrOswALX9ui5UXsCpslM4ee1XnCvPxkt9X8SzSc81ev4QdQheGfAqZvX5Izaf2wSdqeqWxMdsMqKqvBgWU22H6Pq1C/VrHGqTHRG8fAMR2q0nxBJJ62/MbUjFUgR5dMEV/ZV2Kd8ddZg+P3U4joPZbIbRWPtLJ75pBIJEIgHHcY29tYHU1FQEBQVh7NixzR6bmZkJAOjSpcttj/H19aXkRkB8lb4oo1lPOxWVTHXLaC+OcSjUFyKnIgfnKs5hy/mv8fO1I/j5yj58NWEbj9G2nq7qOq5fvYTQ6AQolMLuj9JWpDIZQqNubdIxGatRUpDT6Od+3RefRiTC/bLeuD+8NxBeW5lUlHf6tudjHMMoVQqgAq5czHYkMgwMMrkSPgFdoFR5ts3FtYEwz3Dk65pueeh03Hl5iwULFmD06NGIjIyEXq/Hhg0bsHfvXuzatQvx8fGIjY3FrFmzsGLFCvj7+yMtLQ3p6enYsWOHo4xhw4Zh4sSJmDNnjmMbx3FITU3F9OnTIZU2DCk3NxcbNmzAmDFj4O/vj1OnTmHu3Ll48MEHkZRUu9LuN998g2vXruHee++FUqlEeno6li5dipdffvlO7g1pY35KP1ygWU87PbFIjK6arvCSe2FX3k5UmCsxImIYXh/4Bt+htcqV3NOQyhUdqrbnTihVngiLTuQ7DN5184nAsZJMvsMQDMfCpu441L20tBTTpk1DcXExvL29kZSUhF27dmH48OEAgJ07d2L+/PkYP348qqurERsbi3Xr1mHMmDGOMnJzc1FeXt6g3IyMDBQUFGDmzJm3nFMulyMjIwMffPABDAYDIiIiMGnSJCxc+Fu/EZlMhpUrV2Lu3LlgjCE2Nhbvvfcennuu8WpUwg8fhQ81exEAwI/5P2Lxobdg5+x498F3MarbqObfJDDVukqUXclFl6h4QdU4EGEI9wrHzrzv+A5DMITW4dmp5GfNmjW33d+9e3ds2bLltsfUzQ5d34gRI9BUv+uIiIhbZne+2ahRoxpMbkiEyU/pB61ZC45xgqn6JK6lNWux7Je/4dvL32Nw2AN4877FCPAI4DsspxXlnYVILKbaHtIkf6U/DLZqmO1mx6i2zqyu5kcon/20thdxGV+lL+zMDp1ZBx+lD9/hEBfbf2U/3vppEUx2M5bcvwTjo8cLpgq8pYzVVSgtuIDgrvHwUHvxHQ4RsLqRjBU1Feji2XT/1M7GLWt+CLkTvoob63uZKyj56UT0Fj3ePbwc2/K2476Qe/DW/X9rdsI7Ibp6OQcAEJXg3iPSiGsEetSuXnDNeI2SH7h5nx9C7kTdlO9VpiqA1qPsFA5dPYQ3fnodOoseb6a8iUndJwnmw6+laqp1KCm4gKCIWKi96BeXtEy4VzgAoFBf2OxyL52BI/mhmh/S2dSf8p10bEarEe8f+yc2nt+MAUH9sPiBpQjzDOM7LKcV5+fAzjF0SxDuCuJEmFRSFaQiKaqt1XyHIgh1HZ6pzw/pdDRyDUQQocJMI746spNlJ/H6/tdwzViG+XfPxxM9nxDMB15LmYzVKL58DgHhMfDS+PIdDnFDNbYa2JgN3nKqLQTqrepONT+ks5GIJfBR+FDNTwdltVuxKnMV1mR/hkS/eHz00Cp0877zxTxdraTwIqwWM43kIndEZ6ldKFujoKWSgHpD3QXS7E3JD3EpX6UvJT8d0IXKC/jr/ldxUXsJL/SZjWd6PwOp2L0+XixmE4pys+EX2g0hPh1vzTHiWlqzFgCo5ucG6vBMOjVa36tjsXN2fHHmc/zrxL8QqQ7Dl2M3tMuihe2ttOgyTEYd1faQNiMTywAAphvr2HV2jj4/EEYTOCU/xKX8lH6oMlfxHQZpA1f0V/D6/tdwojwL03o+jT/1f8ntJnOzWi24cuEU/EK6Iigsiu9wSAcS4RUBsUiCS9pLbr9g750qM5bhp6KfAFDND+mkfBQ+tNKxm2OMYeuFrfjHkeXwVXhjzcg1bvnhXl5cAIOuAlHx/SASC+OvUdJxyCQydFGFIbcql+9QeKE1a5GRn4HvLn2Ho9eOQiwSY3jX4Y7JH/lGyQ9xKWr2cm/lNeV486fXsf/qQTwaMwGvDJgPT7l7rWtlt9lQcD4TvkHh6BrXh+9wSAeWFNgbR0tO8B2GS1RbqnG+8jzOVZzDwasH8fPVn2Hn7BgQMgBv3PsGHur6ELwVwun/RMkPcSk/pR8qTZVgjAmm+pO0zA+Xf8A7h96CRCTBR0M/wuCIwXyH5LSykgIYq8qptoe4xIAud2HX5e9gsBqglqn5DqdNMMZQbChGTkUOzlWew/mK2oTnSnVtjb5ULEUv/154+a6XMaLrCASqAnmOuHGU/BCX8lX4wsJZYLQZO8yHQUdXfzHS4RFDsGjg244JK90FZ7ej4HwmNP4h6Brfj+9wSCfRL7gfOHDILM3EfWH38R2O0yx2C3KrcpFTmVOb7FScQ05lDvQWPYDabgxxvnEYGjkU8X7x6OHbA9He0ZBJZDxH3jxKfohL1Z/lmZIf4TtYdBCLfvoramwmLL1/KcZFj3O7Grvr165AX3ENkT36QCyR8B0O6US6abpBLlYgT5sn+OTHYrfgfOV5nCo7hdPXT+NsxVlcqroEG7NBBBEiNZHo4dsDMxJnOBKdYFWw230e1KHkh7hU3fpelaZKx9o3RHiMViPeO7YCm85/hXuD78I7Dyxzu8VIOTuHwvMnoPYNQlRPWp6CuJ5IJIKfMgBlNWV8h9IAYwwF+gKcKjuF7PJsZJVn4VzFOVg5K6RiKeJ845AcmIwpPaYgzi8OPXx7QCVT8R12m6Lkh7iUj8IHAFBppokOhar+8hQLBizA4/GPu93yFGXXrsBYUYKIHn2ptofwyk8ZgGsGfpOfClMFssqykFWe5Uh26mag7qrpil4BvTA2eix6B/RGvF885BI5r/G6AiU/xKXqmr1oxJfw1F+eopdfT3z80GpEeUfxHZZTLFYbrl48CW//YHTtSRMWEv518QxCsb7UZeez2q04W3EWmaWZyCqvTXiKqosA1Pa57B3YG08nPI2kgCT0CuglqBFYrkTJD3EpuUQOT5knLXEhMPWXp5jdZzZmuuHyFMVXC2HTl6FrXB+IxFTbQ4QhSBWACxXtN9dPqbEUJ8tO4mTpSZwsO4kz18/AwlkgF8uR4J+AoZFD0TugN3oH9EaYZ5jb9tFpa+716UY6BFrfSzjsnB2fn16HjzI/QlfPcLdcnsJoMqH00mkEBHWBZyiN5CLCEugRiEpzeZuUZeWsyKnIaZDsXDVcBQCEqEOQHJiMEVEj0CewD+L94t1i1BVfKPkhLuer9KU+PwJQqC/Ewv3zcaI8C9N7TsWc/i+63fIUhZcvQGqvQVR8P4D+oiUCFOARAL1VB4vd4nRfmvKa8tpE50ayc+b6GZjsJsjEMvT074lhXYehT2AfJAcmI1gd3E5X0DFR8kNczldBNT98Yoxhy4Ut+MeRv8NP4Y21I9firhD36h+jrapCxdVcdImIhtLLveYcIp1L3SR/5TXlCPUMbfI4G2fD+crzDZKduokDgzyCkByUjDl95yA5MBkJ/gmdolNye6Lkh7icr9IXeVV5fIfRKZUZy/DmT6/jQPEhTIp5BK/cM9+t5ltijCH/YjbUCgW6JdDwdSJ8waraGpkSQ0mD5KfSVPlbolN2Etnl2aix1UAqkqKnf08MjhiM5MBkJAcmI0QdQn112hglP8TlaH0vfuy6vAvvHHwbUrEUHw/9GIMiBvEdklOul5VAX16EiJgESOQefIdDSIvUJTyHSw7jYtVFR7KTr8sHUNsslhyYjOeTn3fU6iilSj5D7hQo+SEu56fwoz4/LqQ1a7H00DvYmb/LLZensNlsuHLhJLx8A2myQuJ2rFYZvGQ++CTzE0hEEsT5xWFg6EBHskMjsPhByQ9xOV+lLwxWQ6s6ABLn1C5P8TpqbDVY9sAyjO021q0+aK9dzYdJV0HD14nbKK82Q2+yOV77eMjw7+GfwGQ3IdE/scPNlOyuKPkhLld/fS8aodA+9BY9/nnkH9iSm+aWy1OYaowouXwGfsERCA7ty3c4hDTpms4Eo8XueO2nlqNbQMN+dL7q3q4OizSDkh/icr6KG8mPmZKf9vBT0U946+dF0FuqsejeRXisx2NuVdtz9XIOmN2CKJqhmQgMYwzFWhPMNs6xLchLgWAN9dFxN5T8EJejJS7ah86iw7uHlyMt7xukBN+Nt+7/222H1gqNTluBiqt5CAqPgYqGrxMBYIzhSmUNbBxzbOvirYRSRk2w7o6SH+Jy9Vd2J21j/5X9ePvnN2C01eCtlLfwaPdH3aa2h3EcCnOzoFB4UG0P4dXNNTsiAKE+HpBL3WthX9I8Sn6Iy3lIPaCQKCj5aQNasxZ//2UJvrn8He7vci/evO8dt+rbU1lWDG15EcJiekEmp6YD4no3d1AO0SjhIaeanY6Okh/iciKRiJa4aAO7C3bjnYNvwWy34J373sGEmAluU9tjs1pw5eIpePoGUW0PcSmrncOVyhowxiASiRrtoEw6Pkp+CC9oiYvWqzJVYdkvf8PO/F0YFHofFg182606jpcUnIe5xoiucf0gElNzAml/FhuHK5VGiEQiSMUiRPmr3OYPBdI+KPkhvKCV3VsnIz8D7xx8GzZmw9L7l2Jc9Di3+RDXV13H9eJL8A+NRkikH9/hkA7ObLOjqLIGACCTiNEtQO02/1ZI+6Pkh/DCV+mL4upivsNwGxWmCiw79A6+L8jAkLAHsWjgW44FE4WOcXYUnD8JhdqbmrhIuzJZ7SiqqoEIgFxKCQ9pGiU/hBe+Cl+cuX6G7zDcwq7Lu7D00DvgwOHvD/wdo7uNdpsP9LKiSzDqKxHePRkSCXUiJW3PZLXjalVtDY9cKkY0JTykBZxqcF+1ahWSkpKg0Wig0WiQkpKC7777zrG/pKQEU6dORUhICNRqNfr164ctW7bctsyoqCiIRKJbHrNnz3YcM3jw4Fv2//GPf2xQTkFBAcaOHQuVSoWgoCC88sorsNlsN5+OCISf0g9Vpiq+wxC08ppyzNv9Il7e9zL6BfXFtke2Y0z0GLf4YK+p1iH/7DHIPTzRNb4fJT6kTdVY7Mgrq0ZeWTUqDBZEB3oiOtAT4b7Ul4e0jFM1P+Hh4Vi+fDm6d+8OxhjWrVuHCRMm4MSJE0hMTMS0adNQVVWF7du3IyAgABs2bMDkyZNx7Ngx9O3b+BT1R48ehd3+29Tg2dnZGD58OB577LEGxz333HNYvHix47VK9dv6KHa7HWPHjkVISAgOHjyI4uJiTJs2DTKZDEuXLnXmEomL+Ch9UGWugp2zQ0JrNjXAGMN3l77Dsl/+BpFIhHcHvYuRXUe6x4c6Yyi8mAWJTIGu1MRF2tA1nQkGsw0ikQgKqRjRgZ58h0TcGbtDvr6+7LPPPmOMMaZWq9nnn3/eYL+fnx/79NNPW1zeSy+9xGJiYhjHcY5tgwYNYi+99FKT79m5cycTi8WspKTEsW3VqlVMo9Ews9nc4nNrtVoGgGm12ha/h7ROxuUM1uu/vdj1mut8hyIoRfoi9mL6C6zXf3uxv+x+ya3uz/WSQnb5zDFmNpn4DoV0EFerjCy3VM9yS/Ws2mTlOxwiYM5+f7d6nKndbsfGjRthMBiQkpICABg4cCA2bdqEiooKcByHjRs3wmQyYfDgwS0q02KxYP369Zg5c+Ytf+V++eWXCAgIQK9evbBgwQIYjUbHvkOHDqF3794IDv5tuO/IkSOh0+lw+vTpJs9nNpuh0+kaPIhr1F/clAAXKi/gr/texZito5FZfgrvDX4PK4Z84JgNW8gsphpcPnscTCRC1579IVco+A6JuCmTtbY563K5Abll1dAoZY4mLbWCuqiStuP0b1NWVhZSUlJgMpng6emJbdu2ISEhAQCwefNmTJkyBf7+/pBKpVCpVNi2bRtiY2NbVHZaWhqqqqowY8aMBtuffPJJdO3aFaGhoTh16hRee+015OTkYOvWrQBq+xrVT3wAOF6XlJQ0eb5ly5bh7bffbumlkzZUf32vGMTwHA1/fr32K9ac/Df2Fx9EiEcg/nLXy5jUfRJUMlXzbxaAq5fOwWazomt8P/doliOCY7VzKKwwUnMWcSmnk5+4uDhkZmZCq9Xi66+/xvTp07Fv3z4kJCRg0aJFqKqqQkZGBgICApCWlobJkyfjwIED6N27d7Nlr1mzBqNHj0ZoaMPFGP/whz84nvfu3RtdunTBsGHDkJubi5iY1n9xLliwAPPmzXO81ul0iIiIaHV5pOU68/peHOOwr3Af1p76DzKvZyPWqyuW3L8Eo7uNhkws4zu8FtFdL0VlaSECI7tDpdbwHQ5xU1Y7h3PFevQO9+Y7FNLJOJ38yOVyR01O//79cfToUXz44Yd49dVX8fHHHyM7OxuJiYkAgOTkZBw4cAArV67E6tWrb1tufn4+MjIyHLU5t3PPPfcAAC5evIiYmBiEhITgyJEjDY65du0aACAkpOl1jhQKBRRURc8LL7kXJCIJqsxVfIfiMla7FTsv7UTqqU+Rq89HX/9e+GjoR3gw/EGIRe4x07HdZsOVCyeh8g5A1579+Q6HuCmjxYarVSbIJCL0CqPkmbjeHTeichwHs9ns6IMjvmm6eolEAo7jmi0nNTUVQUFBGDt2bLPHZmZmAgC6dOkCAEhJScGSJUtQWlqKoKAgAEB6ejo0Go2jSY4Ii1gkhrfCGxWmCr5DaXdGqxFfn/8an2en4pqpHIND78Ob97+DvkGNj4AUqmtXcmEy6BEZ15eWpSBOq1tiAgAUMglig6h5i/DHqeRnwYIFGD16NCIjI6HX67Fhwwbs3bsXu3btQnx8PGJjYzFr1iysWLEC/v7+SEtLQ3p6Onbs2OEoY9iwYZg4cSLmzJnj2MZxHFJTUzF9+nRIpQ1Dys3NxYYNGzBmzBj4+/vj1KlTmDt3Lh588EEkJSUBAEaMGIGEhARMnToV//jHP1BSUoKFCxdi9uzZVLMjYH5Kvw7d7FVhqsCGsxvwf2e/hNFWgzFRIzGj97Po7tud79CcUq2rRPnVS/DrEoXg8M7bP4s4T2+yokxvBkBLTBBhcSr5KS0txbRp01BcXAxvb28kJSVh165dGD58OABg586dmD9/PsaPH4/q6mrExsZi3bp1GDNmjKOM3NxclJeXNyg3IyMDBQUFmDlz5i3nlMvlyMjIwAcffACDwYCIiAhMmjQJCxcudBwjkUiwY8cOPP/880hJSYFarcb06dMbzAtEhKejru91RX8F67L/i7SL2yASiTCp++8wLXE6unh24Ts0pzCOQ2FuFuRKNaLi+/EdDhE4xhjyrxvBAIhFAGOASiGhDsxEkESMMcZ3EEKh0+ng7e0NrVYLjYbaodvbX/b+BVqLFp+N+IzvUNpETkUO1p76FLsK0uElVePJhKl4Iv4J+Ch9+A7NaaVF+TDqryM8phekMjnf4RABqz/5YISvB6QSahIlrufs9zdNnEB446v0Rb4un+8w7ghjDMeuHcOak//GzyWHEeoRhFfvfg0Tu0+Eh9SD7/CcptNrUXnlAnxDIhEURrU9pHFaoxXXDbXNWcEaJYI1Sp4jIsQ5lPwQ3rhzsxfHOOwp2IO1p/6NUxVn0V3TDcseWIaRUSPdZrh6fTabHUV52VAplbQsBWlSqc4Eg8UOqVhEzVnErVHyQ3jjq/BFhbkCjDG36QRpsVvwbd63WHvqP7hcfQX9A5LxybBPcH/Y/W5zDTcrKsgDV6NFZEwiRFJq4iINFVYYYbVzEIlECPJSIIhqeUgHQMkP4Y2f0g82zoZqazW85F58h3Nb1ZZqfH3+a3xxOhWlpgoMDXsQf3twOZIDk/kOrdWuXy9DdVkhgsOioIyM5jscIiClehOqTTYwAOG+HlBIafFh0rFQ8kN4U399L6EmP+U15dhw5ktsPLcBNXYLxnUbjd/3fhbRPu6bLNSYLLh2ORve3r7oSqO4Oj2t0YpKowX1R74EeikQ5EU1PKTjouSH8Kb++l6Rmkieo2mo1FiKf2euQlru/yAVSfBY3GQ8nTAVIeqmZwwXOsYY8nPPQiGyIyquL+CmzXTkzpisdhRV1UAEQCQSwdtDhqgANd9hEeJSlPwQ3tSt7yXEJS4W7nsNZytzMCtpFqbEPw5vhXuvPXStuBAmbRkiusVDonCPRVNJ26lbPBSonV05miYbJJ0cJT+EN3UJhdBGfFWaKnGk7Ff89Z7XMTluMt/h3BGtTouqqxfhFxSKYGri6lQYYyioMIJjgFQsotmVCamHkh/CG5lYBi+5l+DW99pbuBccYxgaOZTvUFrNarOj6GIW1GoVusbTAqSdSXm1GboaK006SMhtUPJDeCXE9b12X96Fvv6JCPAI4DuUVinKvwhmrkbX7r0gktA/8c7AbLOjqLIGAODvqaA5eAhpBn0yCgDHONg5O+ys9mHjbLXbbjy3Mzs4joON2RocV/e87vi6/fWfN3VsU+dxvKeR99Y9b8l5bnfO+tejNWuht+r5/l/gYLAacLDkCF7q92e+Q3Ha9fJr0JcXISS8G5SesXyHQ9oZxzEUVhph5xjkUjElPIQ4gZIfFyiuLsaILSMAAF5yr1sSBAbXLa8mFokhEUlqH2LJLc+lYqnjmJufS0QSiEXi356LxZCKpJCJZVCKlc2WKRVJIRFLbnk+OHywy66/OQeKDsDCWTGs6zC+Q2kxY00Nyi6fgcYvkBYg7eAYYyisqIGdMYhQOwcPNWsR4jxKflzAz6N2VFOoOhRPxD9xSwLQIGmolzw0m3zUe95Y0iERSxokGXXvIU378dIu9PSORZhnGN+hNIsxhvyLp6GQoHa+HurM2iHVT3gAUD8eQtoAJT8uoJAoEOQRhAmxEzCj1wy+wyFNMNvN2F/0E55Jeo7vUJp17Wo+TLpyREQnQiKnyeg6mrqEx8bVLisR7usBGSU8hLQZSn5cxN/DH+U15XyHQW7jl6u/wGg34aHIh/gOpUnaygpUXrsM/+AwBIfSKK6OhDGGK5U1sHG1NTyU8BDSfij5cZEAjwBKfgQu4/IPiPIME+TSFVabDVcvnITKy5v69XQg9TstA0CEn4oSHkJcgJIfFwnwCEBuVS7fYZAm2Dgb9hbuwe8EOKnhlUs5gK0GkXF9IBLTApPuzmbnUFhZA8YYzcVDCE8o+XGRAI8AHC4+zHcYpAm/XvsVVVY9Huo6nO9QHMqvXYWhshjBEd2hVGv4DofcAZudQ8GN5SWkYjG6+qkgFlMHdUL4QsmPi9T1+an7a48IS0Z+OkKUAUjwT+A7FBgNepQVnoe3XzDNzuzmSrQmGCw2Wl6CEIGh5MdFAjwCYOEs0Fv10Mjpr3gh4RiHH/PTMSJqFK9fTpydQ2FuFuRyOSU9bkxbY8X1ajMAIFijRIg3jcYjRGgo+XGRuqUSymvKKfkRmOzybJSarmNYV/5GeZVcyYO5uhIRsUkQS2W8xUFaR2u0osJoAQB4KaU02zIhAkfJj4vUJT/Xa64j2lt4o4k6s4z8DPjJNegb1Nfl566qLIe2JB/+oVEICaffC3dSZbSg0mgFAHh7yNAtQM1zRISQlqLkx0Xq1/wQ4WCM4cfL32NI5DBIXDiSymKxoDg3C2qNH7r2pCYud2G02FCiNUEkEsGHEh5C3BYlPy6ikqrgIfWg5EdgLlZdRIGhGAuiRrjsnEV5Z8HsVkTG9YVITEOc3UGxtgYmKweljBYQJaQjoOTHRUQiEfyVNMuz0GQUZMBTqsI9Ife0+7nKrl2BobIMXbp2h8KDvkDdhdlmh83OqJaHkA6E/ux0IZrlWXh+zPseD4Y9AJmk/ToZG6p1uHzuV8jEYkTF96XEx40wxpBbakCEn4rvUAghbYhqflwowCMA12uu8x0GuaFQV4gcXR5m9ZvTLuVzdg6FF09BofSgJSncEGMMZ4v16BFMySohHQ0lPy7k7+GPzNJMvsMgN/xY8CMUYjnuC72vzcsuLsyFxaBDRGxviKX0z8zdVBosKNWbERfiBQnNxExIh0Ofyi5EzV7CknHpO9zX5V6oZG3XpKGtKENVaSECQqOgjohps3JJ+2KM4arWBLPVDqB26HpciBfPURFC2gslPy4U4BGASnMl7JzdpcOqya1KjaU4WXEGS+9f2iblmc0mXLuUDZV3ALpSE5dbsNo5XKmsAVCb/IT6eEApo3+XhHQGlPy4UIBHADjGodJc6Zj3h/Bjd8FuSEUSPBj+4B2XdSX3NMA4RMb1B2jtJkEr0ZpgstrBAEjFIkT5q2i9LUI6IUp+XKj+RIeU/PDrx0vfY0BQP3grvFtdRllxAQzacoRGxUOupNFAQsQYQ1FVDWx2BhvHEOpDa20RQij5cSma5VkYtGYtjpadwF/veb1V76/WV6G8KA++gaEIpCYuQbLZOeRXGAEAEb4qyKU0qwch5DeU/LiQn9IPACU/fNtbuBccYxgSMcSp93F2OwovnoLSQ01D1wWq4LoRHGMAgOgANTVpEUIaRcmPC8klcngrvCn54VnGpe/Rxz8BgarAFr+nOP88LCZj7arrEuoUKyR6kxWlejPEIhFCNEp4yOn/DyHk9pyqC161ahWSkpKg0Wig0WiQkpKC7777zrG/pKQEU6dORUhICNRqNfr164ctW7bctsyoqCiIRKJbHrNnz77lWMYYRo8eDZFIhLS0tAb7Gitj48aNzlyeSwQoaaJDPhmtRhwsOYxh3Ua36Piq8mvIP3scGt9AdI3rQ4mPgNRY7LhYqofBbEdMoCe6Bagp8SGEtIhTNT/h4eFYvnw5unfvDsYY1q1bhwkTJuDEiRNITEzEtGnTUFVVhe3btyMgIAAbNmzA5MmTcezYMfTt27fRMo8ePQq73e54nZ2djeHDh+Oxxx675dgPPvjgttXYqampGDVqlOO1j4+PM5fnEjTXD78OFB2AhbNiWOSw2x5nNhlRfPkcPH0CaNV1ATFZ7SiqqoFYJIJSJkZsEM3FQwhxnlPJz/jx4xu8XrJkCVatWoVffvkFiYmJOHjwIFatWoUBAwYAABYuXIj3338fx48fbzL5CQxs2PSwfPlyxMTEYNCgQQ22Z2Zm4p///CeOHTuGLl26NFqWj48PQkJCnLkkl/P38EepsZTvMDqtHy/tQk/vGIR7hTe6n3EcruSdhlgkon49AlKqN0FvskEuESOGVlUnhNyhVg+BsNvt2LhxIwwGA1JSUgAAAwcOxKZNm1BRUQGO47Bx40aYTCYMHjy4RWVaLBasX78eM2fObFDDYzQa8eSTT2LlypW3TW5mz56NgIAADBgwAGvXrgW70fGxKWazGTqdrsGjvVHND38sdgv2X/2pySav8qv5KDh/AiGR3REW08vF0ZGb2TmGvLJq5JZVQymTICbQkxYYJYS0Cac7PGdlZSElJQUmkwmenp7Ytm0bEhISAACbN2/GlClT4O/vD6lUCpVKhW3btiE2NrZFZaelpaGqqgozZsxosH3u3LkYOHAgJkyY0OR7Fy9ejKFDh0KlUuGHH37ACy+8gOrqarz44otNvmfZsmV4++23WxRbW6HFTfnzS/EvMNhq8FDXhxps12srUFF8CT5BkegaSk1cfOM4hrzyakjEYkT5qyGmtbUIIW3M6eQnLi4OmZmZ0Gq1+PrrrzF9+nTs27cPCQkJWLRoEaqqqpCRkYGAgACkpaVh8uTJOHDgAHr37t1s2WvWrMHo0aMRGhrq2LZ9+3bs3r0bJ06cuO17Fy1a5Hjet29fGAwGvPvuu7dNfhYsWIB58+Y5Xut0OkRERDQb550I8AiA3qqHyWaCUkqTrbnS6eunIYII+bp8xPjEwGa1oCg3Gwq1Bl3jKenhW7G2BjWW2v5/0QGelPQQQtqNiDXXNtSMhx56CDExMXj11VcRGxuL7OxsJCYmNtgfGxuL1atX37ac/Px8REdHY+vWrQ1qeP785z/jX//6F8Ti31ro7HY7xGIxHnjgAezdu7fR8r799luMGzcOJpMJCoWiRdei0+ng7e0NrVYLjUbTovc46+DVg5iVPgvfT/oeYZ5h7XIO0jij1YjX97+GjCt7MTPySfwufAzCY3pDJKYJ8PjCGMOlcgMYgFBvDxqtRQhpFWe/v+94nh+O42A2m2E01s6mKr7pi0QikYDjuGbLSU1NRVBQEMaOHdtg+/z58/Hss8822Na7d2+8//77t3TAri8zMxO+vr4tTnxcpf4sz5T8uJZKpsI/h36Ifx3/EGtOr0VS9ABEUOLDC5udQ2FlDewch24BnpBQLQ8hxIWcSn4WLFiA0aNHIzIyEnq9Hhs2bMDevXuxa9cuxMfHIzY2FrNmzcKKFSvg7++PtLQ0pKenY8eOHY4yhg0bhokTJ2LOnDmObRzHITU1FdOnT4dU2jCkkJCQRjs5R0ZGolu3bgCAb775BteuXcO9994LpVKJ9PR0LF26FC+//LJTN8MVaIkLfolFYrzU/8+4rCvE/AML8KVmPXr49uA7rE7DaLGhWGuCRESLihJC+ONU8lNaWopp06ahuLgY3t7eSEpKwq5duzB8+HAAwM6dOzF//nyMHz8e1dXViI2Nxbp16zBmzBhHGbm5uSgvb/jFn5GRgYKCAsycObNVFyGTybBy5UrMnTsXjDHExsbivffew3PPPdeq8tqTj8IHEpGEOj3zSCQSYekDf8OT3z6NORkvYvP4jfBR+vAdVodWN3JLrZDSUHVCCO/uuM9PR+KKPj8AMGzzMEzqMQkv9Hmh3c5BmldUXYTJ3zyOHj498OnIf0MqptVe2gNjDGeKdUjooqGaHkJIu3D2+5s6PPDA38Ofmr0EIMwzDB8MeQ8nyo7j3aMr+A6nQzJabMi5pkdcsBclPoQQwaDkhwfeCm9ozVq+wyAA7g65G6/d/Ro2nPsS2y5s4zucDuNKpRF5ZdWoMloRH6KBVEIfNYQQ4aB6fh4oJUpY7Ba+wyA3PB7/OM5cP4fFh95BpCYS/YNpzp/WMtvsuFRuQFc/WmSUECJc9OcYD+QSOcx2M99hkBtEIhHeSFmI5MA+eCFjNs5cP8N3SG6pWFuDq1UmxIdoKPEhhAgaJT88UEgUlPwIjEwiw8qHPkJXTTc898Ms5FXl8R2S29DWWHGxVA+1QopuAWq+wyGEkGZR8sMDhZSSHyFSy9T4dMRq+Cv9MXPXsyiqLuI7JEFjjOFiqR5mqx2xQV7QKGV8h0QIIS1CyQ8PqOZHuLwV3lgz8lMoJAr8/vtnUWYs4zskQdKZrDh/rRrdAjwRpKE16ggh7oWSHx7IJXLq8CxggapArB31Gax2C2bueg7Vlmq+QxIMO8dwsbQaBrMNcSFetCwFIcQtUfLDA6VECZPdxHcYbcJkMyHtYhqe2PEEpu6cChtn4zukNhHmGYY1Iz/FNUMxlh7+O9/h8I4xhsvlBuRfNyAmUI0u3h58h0QIIa1GyQ8POkLNT4GuACuOrsCwr4bhjZ/fgFqmRmZZJrZe2Mp3aG0m2icarw54Bd/kpeH7S9/zHQ5virU1yC0zINTHA9GBnjRZISHE7dE8Pzxw1z4/ds6O/Vf2Y1POJvx89Wd4K7zxaPdHMbnHZERoIrDwp4X4+MTHGNVtFDRyDRhjyC7PxsacjdhdsBsfDvkQA7oM4PsynDKp+yQcuvoL3vj5TfT074mumq58h+Qy5dVmVBmtCPFWUk0PIaRDoeSHB3XJD2PMLf6Kvl5zHdsubsPmnM0oNhSjd0Bv/O2+v2Fk1Egopb91dn2x34v4If8HfHj8Q/QK6IWNORtx5voZhHmGQSPXYO3ptW6X/IhEIrw98C089s0UvLR7LjaO29DgmjsirdGKsmoT/NUKxAbRIqSEkI6Hkh8eKCQKcIyDjdkgEwlzeDBjDJllmdh4biN+yP8BEpEEY7qNwZS4KUgMSGz0PUGqIPy+1+/xSeYn2Hx+Mx4IewArh63EfaH34dtL3+L1n17HJe0ldPPu5uKruTOeck98MOQ9PPntU1j6y3Isvv8tvkNqF3qTFaV6M7yUUsQGefEdDiGEtBtKfnigkCgAABa7BTKxsJIfo9WIHXk7sClnE85XnkekVyTm9puLCbET4K3wbvb90xKmwVPmicHhgxGhiXBsHxU1Cv889k9sPLcRC+5Z0J6X0C7i/OLw13sW4K1Db2FA6F0YFz2O75DajNZoRbnBDE+FFDGBVNNDCOn4KPnhQV3yY7KZoJYJY0bcvKo8bMzZiO2521Fjq8Gg8EH4S/+/4N7QeyEWtbxfvFqmxtSEqbdsl0vk+F2P32H9mfX4U98/wVPufl+yj3Z/FIeLj+Ltg4uR4JeAaJ9ovkNqNcYY8q8bwTEGjYeMkh5CSKdCyQ8P6tf88MnKWbGnYA825WzCkZIj8FP64cn4J/FYj8fQxbNLm59vco/JWJu1Fv/L/R+e6vlUm5ff3kQiEd4a+AbOfHMGL+2Zi03j/g8qmYrvsJxWpjejymhBtwA1rbZOCOmU6JOPB3KJHAB4G/F1zXANn2R+gpFfj8Rf9v0FNs6Gfzz4D2T8LgMv9nuxXRIfAAhWB2NI5BBsu7CtXcp3BZVMhQ+GvIdiw1X87ZclfIfjFI5jOH9ND7EI6B7sRYkPIaTTopofHtSNFuIj+TlXcQ5P7HgCMokM46PHY3LcZMT5xbns/OOjx+PFPS/ifOV59PDt4bLztqVY31gsunchFv68EHeH3IWJ3SfyHVKT7BzD5esGiEUiMMYQG+gJMc3KTAjp5Cj54QGfNT+BHoEQi8R4ptczmJU8y+Xnvz/sfngrvPFt3rfo0d89kx8AmBA7AYeLj2HJL0uQGJAoyESusMIIi51DN381JTyEEFIP1XvzoK7PDx/Jj7+HP8bHjMfmnM2w2q0uP79MIsOoqFH4Nu9bcIxz+fnb0qKUvyLUMwJz98yDwWrgOxyHUp0JF0v1CPRSIIZqeggh5BaU/PCAz+QHAJ7u+TRKa0rx/WV+lmwYFz0O14zXcKzkGC/nbyseUg98OPQ9lBrL8PbBxWCM8RaLnWPIK6tGblk1lHIJYoO8oJRJeIuHEEKEjJIfHvCd/IR6hiLWJxbrz67n5fzJgckI9wzHjrwdvJy/LXXz7oa3Br6B7y7vxFfnv3L5+bkbq6wXVBgR5a9GTKAnNEphzR1FCCFCQ8kPD/gY6s4Yw+nrp/HOoXcw7KthuFh1EZFekS47f30ikQjjYsYhPT8dJpv7r24/NnosJsb+DsuP/B1nr5912XkLK4y4dN2A6AA1ugVQvx5CCGkp6vDMg7oOz6744tdZdPg271tsvbAV5yrOIcgjCE/2fBKPxD6CCK+I5gtoJ+Oix2H1ydXYe2UvRkWN4i2OtvL6vfORVZaFuXvm4auHN8NL3j7LQzDGUFBhhNXOEObjAQ85NW0RQoizKPnhgVQshVQkbdean/Kacnx++nNszNkIi92CQeGD8Ke+f8LA0IGQivn/395V0xVJAUn4NvfbDpH8KCQK/Gvo+/jdN49h0c9v4P3B77X5orUF142w2O2I9FNDLqVKW0IIaS3+vwU7KblE3uZ9fhhjOFtxFlsvbEXaxTTIxDI83fNpPBH/BAJVgW16rrYwNnos3j36LipMFfBT+vEdzh2L0ETgb/e/g3l75+HLs1/i6YSn26TcCoMF5dVmRPqpqBMzIYS0AUp+eKKUKtss+SkzluHbvG/xv9z/4WLVRQR4BODZ3s/iyZ5PQiPXtMk52sOobqPw7tF3sevyLjwR/wTf4bSJ4V2H48n4p7Hi2ArE+8XjrpC7Wl1WwXUj7IzBUyFFj2BaZZ0QQtoKJT88udOaH51Fh/1X9mNn3k78fPVnSEVSDIkcgnn95yElNEUQTVvN8VP64b6w+7Ajb0eHSX4A4OW75+FM+VnM3fsXfDV+E0LUIU69/0qlESarHRF+KiikVNNDCCFtTfjfkB2UQqJwus9PmbEMewr34MeCH3Gk+AhszIakwCS8fs/rGBk1Et4K73aKtv2Mix6HV/a/gnxdPrpquvIdTpuQiWX4cNh7mPS/x/CXva/gv6PXQia+/fBzs82OK5U1AIBQb+rITAgh7YmSH54oJAqY7Lcf7WXn7Mi+no2DRQfxU9FPyCrPglgkxl3Bd+GVu1/B0MihTtcqCM3giMFQy9T4Nu9bvNDnBb7DaTN+Sj+8P+SfmPH9DPzr14/wl7vmNXqc1mhFucEMuUSM6AB1m3eSJoQQcitKfnjSVM1PqbEUPxf9jJ+v/oxDVw9BZ9HBS+aFe0PvxZT4KXgw7EH4KH1cH3A7UUqVGN51OHbk7cDzyc93qC//PkF98FLfl/Der+/hruD+GBQxyLFPW2NFmd4MjYcUMYGePEZJCCGdDyU/PKnr82OxW/Br6a+OhOdC5QWIIEKvgF54Iv4J3B92P3oF9HKLPjytNS56HNIupuFk2Un0CerDdzhtakavGThScgwLDvwVWx7+GipJAMqrzfBSShEbREkPIYTwoeN+owqcUqLE/iv7cf/G+1Fjq0GARwDuC70Pz/V+Dvd2uRe+Sl++Q3SZu4LvQpAqCDvydnS45EckEuFP/Wbj8R2P442flmLJwHeppocQQnhGyQ9PBoYOhI3ZMDB0IO4LvQ89fHt0qCYfZ0jEEoztNhbbLm7Da3e/BpmkY6xNVW2pxtrstfj8zOcIVAViRu/HEaRR8h0WIYR0eiLG51LUAqPT6eDt7Q2tVguNRrjz43RE5yvPY9L2Sfho6EcYHDGY73DuiJWzYuv5rfjk5CcwWo2YmjAVz/Z+FiqZiu/QCCGkQ3L2+9upOfJXrVqFpKQkaDQaaDQapKSk4LvvvnPsLykpwdSpUxESEgK1Wo1+/fphy5Ytty0zKioKIpHolsfs2bNvOZYxhtGjR0MkEiEtLa3BvoKCAowdOxYqlQpBQUF45ZVXYLPZnLk8wqMevj3Qw7cHvsn9hu9QWo0xhr2FezFp+yQsObwE94fdj28mfoMX+71IiQ8hhAiIU81e4eHhWL58Obp37w7GGNatW4cJEybgxIkTSExMxLRp01BVVYXt27cjICAAGzZswOTJk3Hs2DH07du30TKPHj0Ku93ueJ2dnY3hw4fjscceu+XYDz74oNGmIbvdjrFjxyIkJAQHDx5EcXExpk2bBplMhqVLlzpziYRH46LH4eMTH0Nv0bfbwqDt5UTpCXx04iMcLTmKe7rcg388+A/E+8XzHRYhhJDGsDvk6+vLPvvsM8YYY2q1mn3++ecN9vv5+bFPP/20xeW99NJLLCYmhnEc12D7iRMnWFhYGCsuLmYA2LZt2xz7du7cycRiMSspKXFsW7VqFdNoNMxsNrf43FqtlgFgWq22xe8hbaekuoT1/m9vtvX8Vr5DabEjxUfYM98/w3r9txd7JO0Rtq9w3y2/u4QQQtqXs9/frV4a2m63Y+PGjTAYDEhJSQEADBw4EJs2bUJFRQU4jsPGjRthMpkwePDgFpVpsViwfv16zJw5s0ENj9FoxJNPPomVK1ciJOTWSf0OHTqE3r17Izg42LFt5MiR0Ol0OH36dJPnM5vN0Ol0DR6EP8HqYAzoMgDf5Am/6etoyVHM+H4GZu6aCa1Fi/cHv48tD2/Bg+EPdtqO64QQ4i6cHu2VlZWFlJQUmEwmeHp6Ytu2bUhISAAAbN68GVOmTIG/vz+kUilUKhW2bduG2NjYFpWdlpaGqqoqzJgxo8H2uXPnYuDAgZgwYUKj7yspKWmQ+ABwvC4pKWnyfMuWLcPbb7/dotiIa4yLHodFPy9CcXUxunh24TucW2SXZ+Nfv/4Lh4oPIcE/AR8N/QiDwgdRwkMIIW7E6ZqfuLg4ZGZm4vDhw3j++ecxffp0nDlzBgCwaNEiVFVVISMjA8eOHcO8efMwefJkZGVltajsNWvWYPTo0QgNDXVs2759O3bv3o0PPvjA2VCbtWDBAmi1WsejsLCwzc9BnPNQ5ENQSpTYeWkn36E0cLHyIv6858944tsnUFZThg+GfICNYzdicMRgSnwIIcTNOF3zI5fLHTU5/fv3x9GjR/Hhhx/i1Vdfxccff4zs7GwkJiYCAJKTk3HgwAGsXLkSq1evvm25+fn5yMjIwNatWxts3717N3Jzc+Hj49Ng+6RJk/DAAw9g7969CAkJwZEjRxrsv3btGgA02kxWR6FQQKFQtOi6iWt4yj0xJGIIduTtwMxeM3lPLOycHevPrsf7x99HiDoES+9fijHdxkAipoVHCSHEXbW6z08djuNgNpthNBprCxQ3LFIikYDjuGbLSU1NRVBQEMaOHdtg+/z583Hq1ClkZmY6HgDw/vvvIzU1FQCQkpKCrKwslJaWOt6Xnp4OjUbjaJIj7mNczDhcrLqInMocXuM4UXoCT3z7BFYcW4Gnej6Fbx75BuNjxlPiQwghbs6pmp8FCxZg9OjRiIyMhF6vx4YNG7B3717s2rUL8fHxiI2NxaxZs7BixQr4+/sjLS0N6enp2LFjh6OMYcOGYeLEiZgzZ45jG8dxSE1NxfTp0yGVNgwpJCSk0dqbyMhIdOvWDQAwYsQIJCQkYOrUqfjHP/6BkpISLFy4ELNnz6aaHTeUEpoCP6UfduTucPlwcY5x2FO4B1+d/wo/F/2MBP8EfDH6iw637AYhhHRmTiU/paWlmDZtGoqLi+Ht7Y2kpCTs2rULw4cPBwDs3LkT8+fPx/jx41FdXY3Y2FisW7cOY8aMcZSRm5uL8vLyBuVmZGSgoKAAM2fObNVFSCQS7NixA88//zxSUlKgVqsxffp0LF68uFXlEX7JxDKMihqFnZd2Ym7/uS6racnX5eOtg2/h2LVjSA5Mxjv3vYOHYx6GWHTHFaSEEEIEhJa3qIeWtxCOrLIsPLnzSfx7+L8xMHRgu55La9ZiTdYafHn2SwSpgrAoZVG7n5MQQkjbcfb7mxY2JYLUK6AXumq64tu8b9stEbHYLfjy7Jf4NOtT2Dgbnu39LKYnTqelKAghpIOj+nwiSCKRCOOixyE9Px1Gq7FNy2aMYXfBbjzyv0fw4a8fYky3Mdj56E483+d5SnwIIaQToOSHCNbY6LGosdVgT+GeNivzYuVF/CH9D3hpz0uI8IrAloe3YOG9CxHgEdBm5yCEECJs1OxFBCvCKwJ9AvtgR94OjI0e2/wbbkNr1mJl5kpsztmMMM8wfDz0Y1qKghBCOilKfoigjY8Zj6WHl6K8prxVtTOMMXyT9w1WHF0BC2fBn/v9GU/1fAoyiawdoiWEEOIOqNmLCNqIriMgEonw/aXvnX5vvi4fz6U/h9d/eh33ht6LHRN3YEavGZT4EEJIJ0c1P0TQfJQ+eCDsAezI24GnE55u0XtMNhPWnV6H/5z6DwJVgVj10CrcH3Z/O0dKCCHEXVDNDxG88THjcfr6aeRp8257HGMMP1z+ARPSJmD1ydV4KuEpbJuwjRIfQgghDVDNDxG8B8MfhJfMCztyd+DFfi/est/G2bC7YDe+OPMFMssyMSh8EP49/N+I8o5yfbCEEEIEj5IfIngKiQIjokZg56WdmNN3ToPlJjJLM/HK/ldQYihBv6B+WP3QatwXdh+P0RJCCBE6avYibmFc9DgUVRfhROkJx7Z8XT7+tPtP6KLugs3jNmPd6HWU+BBCCGkWJT/ELfQL7ocu6i7YkbcDHOOQnp+Omd/PhI/CBx8N/Qg9/XvyHSIhhBA3Qc1exC2IRWKMjR6Lz7I+w6Grh1BUXYT7w+7HWylvwVvhzXd4hBBC3AjV/BC3MT5mPAAgzDMMX4z+AqseWoVgdTDPURFCCHE3VPND3Ea0dzR+fuJneMm8aFkKQgghrUbJD3ErGrmG7xAIIYS4OWr2IoQQQkinQskPIYQQQjoVSn4IIYQQ0qlQ8kMIIYSQToWSH0IIIYR0KpT8EEIIIaRToeSHEEIIIZ0KJT+EEEII6VQo+SGEEEJIp0LJDyGEEEI6FUp+CCGEENKpUPJDCCGEkE6Fkh9CCCGEdCq0qns9jDEAgE6n4zkSQgghhLRU3fd23fd4cyj5qUev1wMAIiIieI6EEEIIIc7S6/Xw9vZu9jgRa2ma1AlwHIerV6/Cy8sLIpGI73CcptPpEBERgcLCQmg0Gr7D6RDonrYtup9tj+5p26N72vba+54yxqDX6xEaGgqxuPkePVTzU49YLEZ4eDjfYdwxjUZD/2DbGN3TtkX3s+3RPW17dE/bXnve05bU+NShDs+EEEII6VQo+SGEEEJIp0LJTweiUCjw5ptvQqFQ8B1Kh0H3tG3R/Wx7dE/bHt3Ttie0e0odngkhhBDSqVDNDyGEEEI6FUp+CCGEENKpUPJDCCGEkE6Fkh9CCCGEdCqU/AjY+fPnMWHCBAQEBECj0eD+++/Hnj17HPtPnjyJJ554AhEREfDw8EDPnj3x4YcfNlvur7/+iuHDh8PHxwf+/v74wx/+gOrq6luO++9//4ukpCQolUoEBQVh9uzZbXp9rsbn/RSJRLc8Nm7c2ObX6Gp8/44CwPXr1xEeHg6RSISqqqq2ujTe8HVPr1+/jlGjRiE0NBQKhQIRERGYM2dOh1jrkK972tpyhY7Pf/cvvvgi+vfvD4VCgT59+rT6Gij5EbBx48bBZrNh9+7dOH78OJKTkzFu3DiUlJQAAI4fP46goCCsX78ep0+fxuuvv44FCxbg448/brLMq1ev4qGHHkJsbCwOHz6M77//HqdPn8aMGTMaHPfee+/h9ddfx/z583H69GlkZGRg5MiR7Xm57Y7P+wkAqampKC4udjweeeSRdrpS1+H7ngLAM888g6SkpPa4PF7wdU/FYjEmTJiA7du34/z58/jvf/+LjIwM/PGPf2zvS253fN3T1pTrDvj+dz9z5kxMmTLlzi6CEUEqKytjANj+/fsd23Q6HQPA0tPTm3zfCy+8wIYMGdLk/n//+98sKCiI2e12x7ZTp04xAOzChQuMMcYqKiqYh4cHy8jIaIMrEQY+7ydjjAFg27Ztu7OLEBi+7yljjH3yySds0KBB7Mcff2QAWGVlZesvSACEcE/r+/DDD1l4eLiTVyEsQrunzZUrdEK5n2+++SZLTk5u3UUwxqjmR6D8/f0RFxeHzz//HAaDATabDf/+978RFBSE/v37N/k+rVYLPz+/JvebzWbI5fIGC795eHgAAH766ScAQHp6OjiOQ1FREXr27Inw8HBMnjwZhYWFbXR1rsfn/awze/ZsBAQEYMCAAVi7di2Ym0+xxfc9PXPmDBYvXozPP/+8RQsZugO+72l9V69exdatWzFo0KBWXo0wCOmetqRcoRPa/Wy1VqdNpN0VFhay/v37M5FIxCQSCevSpQv79ddfmzz+559/ZlKplO3atavJY7Kzs5lUKmX/+Mc/mNlsZhUVFWzSpEkMAFu6dCljjLFly5YxmUzG4uLi2Pfff88OHTrEhg0bxuLi4pjZbG7z63QVvu4nY4wtXryY/fTTT+zXX39ly5cvZwqFgn344Ydten184OuemkwmlpSUxL744gvGGGN79uzpEDU/jPH7e8oYY48//jjz8PBgANj48eNZTU1Nm10bX/i+p86U6w6EcD/vtOaHkh8Xe+211xiA2z7Onj3LOI5jDz/8MBs9ejT76aef2PHjx9nzzz/PwsLC2NWrV28pNysriwUEBLB33nmn2Ri+/PJLFhwczCQSCZPL5ezll19mwcHBbPny5YwxxpYsWcIANPhFLS0tZWKxmH3//fdtdzPagDvcz8YsWrRIsM0J7nBP586dy6ZMmeI4XujJjzvc0zrFxcXs7Nmz7H//+x9LSEhgzz//fJvdh7bkTvfU2XL54G73k5IfN1NaWsrOnj1724fZbGYZGRlMLBYzrVbb4P2xsbFs2bJlDbadPn2aBQUFsb/+9a9OxVJSUsL0ej2rrq5mYrGYbd68mTHG2Nq1axkAVlhY2OD4oKAg9p///KcVV91+3OF+NmbHjh0MADOZTE6dwxXc4Z4mJyczsVjMJBIJk0gkTCwWMwBMIpGwN954485uQDtwh3vamAMHDjAAjX6p8c2d7mlry3Uld7qfjN158iNti6Yz0nKBgYEIDAxs9jij0QgAt/RlEIvF4DjO8fr06dMYOnQopk+fjiVLljgVS3BwMABg7dq1UCqVGD58OADgvvvuAwDk5OQgPDwcAFBRUYHy8nJ07drVqXO0N3e4n43JzMyEr6+vYBb5q88d7umWLVtQU1PjOO7o0aOYOXMmDhw4gJiYGKfO4QrucE8bU3dOs9ns1DlcwV3u6Z2U60rucj/bTKvTJtKuysrKmL+/P3v00UdZZmYmy8nJYS+//DKTyWQsMzOTMVZbnRgYGMiefvppVlxc7HiUlpY6yjl8+DCLi4tjV65ccWz76KOP2PHjx1lOTg77+OOPmYeHxy39TyZMmMASExPZzz//zLKysti4ceNYQkICs1gsrrkBbYzP+7l9+3b26aefsqysLHbhwgX2ySefMJVKJcgaCmfw/Ttan9CbvVqKz3v67bffsrVr17KsrCx26dIltmPHDtazZ0923333ue4GtAM+72lLynU3fP+7v3DhAjtx4gSbNWsW69GjBztx4gQ7ceKE0/1RKfkRsKNHj7IRI0YwPz8/5uXlxe699162c+dOx/4333yz0XbZrl27Oo6p+1K4dOmSY9vUqVOZn58fk8vlLCkpiX3++ee3nFur1bKZM2cyHx8f5ufnxyZOnMgKCgra83LbHV/387vvvmN9+vRhnp6eTK1Ws+TkZLZ69eoGQzrdFZ+/o/V1lOSHMf7u6e7du1lKSgrz9vZmSqWSde/enb322mt0T29ozT1tSbnuiM9/94MGDWq07PrltISIMTcfb0sIIYQQ4oSOMTkGIYQQQkgLUfJDCCGEkE6Fkh9CCCGEdCqU/BBCCCGkU6HkhxBCCCGdCiU/hBBCCOlUKPkhhBBCSKdCyQ8hhBBCOhVKfgghhBDSqVDyQwghhJBOhZIfQgghhHQqlPwQQgghpFP5f3BcnGNwqeS/AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "list1 = [334,343]\n",
    "list2 = [312]\n",
    "for v in list1:\n",
    "    plotPoly(fragVTDgeom[v],0.1)\n",
    "for v in list2:\n",
    "    plotPoly(fragVTDgeom[v])\n",
    "#plotPoly(countyGeom[countyNo[v]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now capture all remaining surrounds, convert to units ...\n",
      "looking for surrounds in county 0\n",
      "looking for surrounds in county 10\n",
      "looking for surrounds in county 20\n",
      "looking for surrounds in county 30\n",
      "looking for surrounds in county 40\n",
      "looking for surrounds in county 50\n",
      "looking for surrounds in county 70\n",
      "looking for surrounds in county 80\n",
      "special for OH , I believe that [334, 343] are surrounded by vtd (fragment) 312 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special for OH , I believe that [5881, 5883, 5884] are surrounded by vtd (fragment) 5882 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING. unsurrounded vtd frag 3739 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 925 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 927 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 928 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 935 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 986 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 988 had no found neighbors\n",
      "WARNING. unsurrounded vtd frag 1006 had no found neighbors\n",
      "After surround checks, we appear to have 6292 building blocks defined. We captured 3476 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "WARNING - unit 152  = vtd 2752 in county 6 has only 1 neighbor= [174] . Optional triage in next block\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "WARNING - unit 4922  = vtd 933 in county 61 has only 1 neighbor= [4925] . Optional triage in next block\n",
      "working on unit neighbor lists for county 80\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "print(\"now capture all remaining surrounds, convert to units ...\")\n",
    "\n",
    "debugV = -9999 #update to look closely at a vtdFrag\n",
    "for c in nonunitCounties:\n",
    "    if c % 10 == 0:\n",
    "        print(\"looking for surrounds in county\",c)\n",
    "    for kk, v in enumerate(countyFragVTDs[c]):\n",
    "        if not isWiped[c][kk]:\n",
    "            for nn, vv in enumerate(countyFragVTDs[c]) :\n",
    "                if not isWiped[c][nn] and vv != v :\n",
    "                    if isRookAdj(fusedGeoms[c][kk], fusedGeoms[c][nn] ) :\n",
    "                        nVTDneighbors[v] +=1\n",
    "                        lastVTDneighbor[v] = vv\n",
    "\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if isRookAdj(fusedGeoms[c][kk], countyGeom[cc]):\n",
    "                        if cc in nonunitCounties :\n",
    "                            for jj,vv in enumerate(countyFragVTDs[cc]) :\n",
    "                                if isRookAdj(fusedGeoms[c][kk], fusedGeoms[cc][jj] ):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fusedGeoms[c][kk],2)\n",
    "                                plotCenter(\"iso\",fusedGeoms[c][kk])\n",
    "                                plotPoly(countyGeom[c])\n",
    "                                plotPoly(countyGeom[cc],0.2)\n",
    "                                plotCenter(cc, countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                if STATE == \"TN\":  #for TN, we tolerate some discontiguous counties\n",
    "                                    print(\"vtd fragment\",v,\"with no neighbors in its county\",countyNo[parentVTDno[v]],\n",
    "                                          \"borders a unit or fused county\",cc)\n",
    "                                else:\n",
    "                                    raise Exception(\"ERROR! Neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "        if v == debugV:\n",
    "            print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for c in nonunitCounties:\n",
    "        for kk,v in enumerate(countyFragVTDs[c]):\n",
    "            if nVTDneighbors[v] == 1 and not isWiped[c][kk]:  #2nd condition should never trigger\n",
    "                vv = lastVTDneighbor[v]\n",
    "                if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                    for sNo, s in enumerate(surroundedVTDs):\n",
    "                        if surrounders[sNo] == v:\n",
    "                            surrounders[sNo] = vv\n",
    "                surroundedVTDs.append(v)\n",
    "                surrounders.append(vv)\n",
    "                surrK = countyFragVTDs[c].index(vv)\n",
    "                nVTDneighbors[vv]  -=1\n",
    "                nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                fusedPops[c][surrK] += fusedPops[c][kk]\n",
    "                fusedPops[c][kk] = 0\n",
    "                fusedGeoms[c][surrK] = fusedGeoms[c][surrK].union(fusedGeoms[c][kk])\n",
    "                if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                    for jjkk, vvv in enumerate(countyFragVTDs[c]):\n",
    "                        if vvv not in [v,vv] and not isWiped[c][jjkk]:\n",
    "                            if isRookAdj( fusedGeoms[c][jjkk], fusedGeoms[c][surrK] ) : \n",
    "                                lastVTDneighbor[vv] = vvv\n",
    "                if lastVTDneighbor[vv] == v:\n",
    "                    print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                if loop > 0:\n",
    "                    print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"OH\":  #state-specific manual surround enforcement\n",
    "    specialSurroundedLists = [ [334, 343] ] + sdedLists\n",
    "    specialSurrounders = [312] + sders \n",
    "    for ijk, specialSurrounded in enumerate(specialSurroundedLists):\n",
    "        specialSurrounder = VTDchildren[specialSurrounders[ijk]][0]\n",
    "        print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "        c = countyNo[parentVTDno[specialSurrounder]]\n",
    "        plotPoly(countyGeom[c], 0.5)\n",
    "        for V in specialSurrounded:            \n",
    "            for v in VTDchildren[V]:\n",
    "                plotPoly(fragVTDgeom[v])\n",
    "                plotCenter(v,fragVTDgeom[v])\n",
    "            plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "            plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "        plt.show()\n",
    "        shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "        if shouldIcombine == 1:\n",
    "            for v in specialSurrounded:\n",
    "                vv = specialSurrounder\n",
    "                if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                    for sNo, s in enumerate(surroundedVTDs):\n",
    "                        if surrounders[sNo] == v:\n",
    "                            surrounders[sNo] = vv\n",
    "                surroundedVTDs.append(v)\n",
    "                surrounders.append(vv)\n",
    "                nVTDneighbors[vv] -=1\n",
    "                nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "                fragVTDpop[vv] += fragVTDpop[v]\n",
    "                fragVTDpop[v] = 0\n",
    "\n",
    "for c in nonunitCounties:\n",
    "    for jj, v in enumerate(countyFragVTDs[c]):\n",
    "        if nVTDneighbors[v] > 1 and not isWiped[c][jj]:\n",
    "            countyUnitList[c].append( len(unitCP) )  #list of all unitNos in this county\n",
    "            unitCP.append(fusedGeoms[c][jj].centroid)\n",
    "            unitGeom.append(fusedGeoms[c][jj])\n",
    "            unitPop.append(fusedPops[c][jj])   #for now, ratio pop by area, not block decomposition\n",
    "            vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "            allUnits.append(v)\n",
    "           \n",
    "for c in nonunitCounties:\n",
    "    for jj, v in enumerate(countyFragVTDs[c]) :\n",
    "        if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "            print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "        if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "            print(\"WARNING. unsurrounded vtd frag\",v,\"had no found neighbors\")\n",
    " \n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            if STATE != \"WA\" or i * ii != 3 :  #In WA, we don't allow ferry connection of Island to Clallam+Jefferson\n",
    "                unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "                unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 152 has neighbor list [174, 1]\n",
      "sketchy unit 4922 has neighbor list [4925]\n"
     ]
    }
   ],
   "source": [
    "if len(sketchyList) == 0:\n",
    "    print(\"Great! all units appear to have multiple neighbors; no checks needed.\")\n",
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5d49e161-a2e7-4df0-a0bb-80f4a965867c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "probU = 4922\n",
    "for c in range(nCounties):\n",
    "    if probU in countyUnitList[c]:\n",
    "        break\n",
    "for u in countyUnitList[c]:\n",
    "    plotPoly(unitGeom[u], 0.1)\n",
    "for uu in unitNbrs[probU]:\n",
    "    plotPoly(unitGeom[uu])\n",
    "plotCenter(probU, unitGeom[probU])\n",
    "plotPoly(unitGeom[1874],0.4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "283ecee8-cbe0-464b-b626-075b7a9e0451",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No problem, we knew we needed to force neighbor connections for Danbury-Marblehead units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"No problem, we knew we needed to force neighbor connections for Danbury-Marblehead units\")\n",
    "u1, u2 = allUnits.index(933), allUnits.index(3750)\n",
    "plotPoly(unitGeom[u1])\n",
    "plotCenter(u1,unitGeom[u1])\n",
    "plotPoly(unitGeom[u2])\n",
    "plotCenter(u2,unitGeom[u2])\n",
    "plt.show()\n",
    "unitNbrs[u1].append(u2)\n",
    "unitNbrs[u2].append(u1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should usually be the case, but exception in VA\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "if STATE == \"WA\":\n",
    "    print(\"adding a border unit between Island and Jefferson Counties, as these are only ferry-connected\")\n",
    "    borderUnits.append(2647)\n",
    "    borderType.append(\"vtd\")\n",
    "\n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "30d935ba-5087-4fd9-b2fe-d98797cf2712",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 273\n",
      "uh oh, we have a border unit with <2 border neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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/3LYQ4nue/zEXYvnLnkvux74ogUiIZkxCkRCi8dr8IZQehalb6ueKM6cdVr8OS56B4f+Afn/2/j6EED5DQpEQovEKigbVBXqTd7ebu8dzqmzrJ1BRAIOmwtCHvbsPIYTPkVAkhGi8wtt4ftuywBJzcduqKvOMTL3pfUhfCwHh0P1G6HkzRLa/6FKFEL5PQpEQovFyVh7/4yIuklVVWDcbFv8L7DbPyNTXzoX2l4NBRr0XQpwkoUgI0Ti53bDgcc+4RJEdLmwbTjv88KCnb1LvP3lOk4W28GqZQoimQ0KREKJx2voJpK+BW38EU2DdH39wGSx4DPL2yWX2QohakVAkhGh8MjbCj4945h1rMaiOj90AS5+HAwshvhf86ef6u5RfCNGkSCgSQjQuRUfgoz94JmC98r/nX7+q3NMRO2M9bHjX8zusNVz7vmfeMhmVWghRSxKKhBCNy96foKoUbpgHpgBP36KiNMjZAbm7oCgdSrLAlu35XVl88rEthnge1/ZS0Ok1ewpCCN8koUgI0ag4C49gcFVR/P3jBNv2wtFd4Cjz3BkQgRraAldQDIaWQz2X6VvjwBIL0Z0hMELb4oUQPk1CkRCiUXC7VWYu2s+utRE84E7Gb88Kgjr1Q20/jkxzG3a7E1mUrrB4Ty7FFQ7evKkXoztFa122EKIJkVAkhGhQLrdKjq2S9IJyMgoryCj0/E7LL2PD4UL8jR25cdJC/vy/jUTuN5O/pYoqpxvIpHVkIBN6xPPuykOsOXhMQpEQwqskFAkhvE5VPcFnd7aN3dklpOWXeQJQUTnZRZU43ScHY4y0mEkI9ScuxJ8hbSO4bXBLhrWP4sU/pLB4Tx49k0JISQimTZSFYH8j327NAuAPvRK0enpCiCZKQpEQ4qJlFJazOvUYu7NLPEEox0ZRuQMAi9lAq6ggEkL9SUkMJiE0gMRQfxJCA0gI9cfPeOYO0RN7JDCxx+nBx+rnedvalWWjY6y1/p6UEKLZkVAkhLhgJZUOnvx2F/M3Z6CqkBweQMcYK1MGtqRjrIWOsVYSQv1RvHhZ/CXtIrmmZwIPfb6VwvIqbh/SymvbFkI0bxKKhBB15nKrfLo+nf8s3EtFlYunr+rMhB7xWPyM9b5vRVF46Q8pRFrMPPPDbkrtTu4f1a7e9yuEaPokFAkhasVW6WDtwQKW78tjyd5cMgormNgjnkcua09ciH+D1qLTKTw6tgMmvcKriw9wRUocbaKCGrQGIUTTI6FICHFWW9OL+HDNYTanF5GaV4qqQlJYAMPaR3Jtr0S6JYZoWt89w9vw7dYs/jR3PR/d3o/EsABN6xFC+DZFVVX1/Kv5PpvNRnBwMMXFxVit0jlTiHNRVZUZP+3h7eUHaRkRyKA24XRPDKV3cigtIi5gctZ6lFFYzqR31lJa6eSVP3ZnaLtIrUsSQnhRQ35+S0uREOI0H649wtvLDzJ9bAduH9IKva7xzh+WEBrA/LsH8sBnW7llzjr+MrwNU0e1a9Q1CyEaJ53WBQghGheHy83riw9wdc94/nxJa58IF+FBZube2oeHRrfjtSUHuOmdteSWVGpdlhDCx0goEkLU8NXmTHJsldw51LcuddfpFO4b0ZaPbu/PgbxSJr7+GznFEoyEELUnoUgIAUB5lZOnvtvJtC+3MaZzDB1ifLPv3YDW4Xx73yBUVeXWOesor3JqXZIQwkdIKBJCsHJ/Ppe+spyP1x7h72M78tqNPbQu6aLEBvsz9099OZBbyqfr07UuRwjhI6SjtRDNmNut8tR3O3l/9WH6tQzjw9v6Nbqryy5Uu2gLV3aL47XFB7i0cwzxDTyWkhDC90hLkRDNlNPl5m9fbuN/aw7z1FWd+eSO/k0mEJ3wj3Ed8TPqufODDVRUubQuRwjRyEkoEqIZKq5wMGXuer7enMl/ruvOLQNboPOBq8zqKjzIzOybe3Mwr4yHv9iKy90shmUTQlwgCUVCNDP5pXb+OGs1W9OL+OBPfZnQI17rkupVpzgrr/yxGz/vyOHuDzdS6ZAWIyHEmUkoEqIZOVZq54a313CsrIov7x7IwDYRWpfUIMZ0ieXtyb1Yvj+Pm99dR3GFQ+uShBCNkIQiIZqRd1YeIsdWybw7+9M22qJ1OQ1qZMdoPrq9P/tyS7jurdUyhpEQ4jQSioRoRlYdyOeSdpG0jmyeM8r3Sg7li7sGUFLp4IpXV7Jif57WJQkhGhEJRUI0Ix1jrKw5eIzi8uZ7+qhNlIWv7xtEx1gLk99dx887srUuSQjRSEgoEqIZ+cvINrjcKuNeXcG7Kw8123AUZfHj/Sl9Gd4+kpm/7te6HCFEIyGhSIhmJCE0gC/vHkiPpFCe/2k3g15YzOI9Rymvcja7gKTTKQzvEEVqXim2yub13IUQZ6aoqtosBu6w2WwEBwdTXFyM1eqbczoJ4U25JZVM+2IbS/ae7Ffz0Oh2/GVkWw2rali5tkqGvLiEO4e24qFL22tdjhDiDBry81um+RCimYqy+PHOLX1Yvi8PW6WDXdk2/r1wHy5V5f5R7bQur0FEWf3489BWvLrkAK0iA5nYI0HrkoQQGpJQJEQzpj9+CglgfPd4rH5GXvplL5EWM5P6JWtcXcO4f1Q7cmyVPPjZVhwulet6J2pdkhBCIxKKhBDV7h3ehuziCp76bhdju8QSFmjSuqR6p9MpPH91Cga9jr99sY1Kh4ubB7TQuiwhhAYkFAkhavA36jEbdBj1TW8utLPR6RSendAFP4Oef36zk4W7jjJ9bEc6xUn/QyGaE7n6TAhRTVVVtqQX0Ss5FIufUetyGpSiKDx+RUdmTe5FRmEFl/93BZPeWcOCnTk4XW6tyxNCNABpKRJCAFDpcPHCz3tYn1bI/13fXetyNKEoCpd1jmF4+yh+2pHN3N/SuPN/GzEZdIzpHMNL16ZgNui1LlMIUU8kFAnRzLncKl9tzuTfC/aSV2LniSs7Mb57vNZlacpk0DG+ezzju8ezI7OYlQfyeWXhPoorHMya3As/owQjIZoiOX0mRDM3Z9UhHv58Kz2SQlj44CVMGdRS65IalS7xwdx1SWveu7UPaw8d4/b3N1BR5dK6LCFEPZBQJEQzp9d5OlRf2yuRlhGBGlfTeA1qE8GcW/uy6UghU+auI72gXOuShBBeJqFIiGbulgEtGNUxir98spl9R0u0LqdRG9A6nPf/1JcDuaUMf3kp0+dvk3AkRBMi03wIISi1O7nmjd8INOuZf88grctp9MqrnHy05gizlqdSVO7g2t4J3DOsDYlhAVqXJkST05Cf39JSJIQgyGzg9iEt2ZxeREFZldblNHoBJgN3DG3F8r8NZ9qYDizcdZThLy/lno828sm6I1Q6pM+REL5IQpEQAoBh7aPQKQo/bs/WuhSfcWo4enRsB7KLK/nH1zsY/coyFu46SjNpiBeiyZBQJIQAINJiZmjbCD5Zd4QqpwxWWBcBJgO3D2nFV/cMYuEDQ2kZEcQdH2zgr/O2UF7l1Lo8IUQtSSgSQlS7e1gb9h8t5e4PN5JXYte6HJ/UKjKI96f04f+u786vu45yzZurpTO2ED5CQpEQolrflmHMmtyLjUcKGfHvpfxvdRoOmeKizhRFYXz3eObfM5BSu4OrXlvJb6n5WpclhDgPCUVCiBqGd4hi8UPDGNc1lse/2cmwl5byk/QzuiAdY618e+9gOsVZmfzuOuasOiT9jIRoxCQUCSFOExZo4vlrUvhp6hA6xVm5+6NNvLk0VT7QL0BooIn3p/RlysAWPPXdLh7+fJtcnSZEIyWhSAhxVh1jrbw9uRd/GdGGF37ew3ur0rQuyScZ9Dr+cUUn/nNdN77blsUf315DTnGl1mUJIX5HQpEQ4pwUReH6vkkA0r/oIl3dM4Ev7hpArq2SK15dycbDBVqXJIQ4hYQiIcQ5HSu1M/ndtSSE+nNd70Sty/F5KQkhfHvfYFpGBHD922v4ZN0RrUsSQhwnoUgIcVZF5VXcOmc9tgoHH97Wj7BAk9YlNQmRFjMf3d6f63onMn3+dv7x9XYZG0qIRsCgdQFCiMbpUH4ZU+aso7jCwYe396NFRKDWJTUpJoOOZyd2pXNcME98u4N9OaW8PqknkRaz1qUJ0WxJS5EQ4jS7s21c+9Zv6HQKX987iM5xwVqX1GTd2C+JT+7oz8H8Msa/tpLUvFKtSxKi2ZJQJISoYfORQv44azXRVj8+//MAksOlhai+9W4Rxnd/GUSg2cAfZ61md7ZN65KEaJYkFAkhqq1OPcZN76ylXbSFT+7sT3iQnMppKLHB/sy7sz9RFj+uf3sN2zKKtC5JiGZHQpEQAoCV+/O5dc46eiaH8sFtfbH6GbUuqdkJDzLzyR39aRkRyI2z17L5SKHWJQnRrEgoEkIA8NqS/XSOs/LOLb0JMMk1GFoJDjDy4e39aB9jYcrc9RzILdG6JCGaDQlFQggcLjdb0osY0yUGs0GvdTnNXpDZwHu39CHa4sfN766T0a+FaCASioQQ7MqyUelw07tFmNaliOOCA4y8/6e+qMDdH22UcYyEaAASioQQuI9P9Lo1vUjbQkQNMcF+vDGpJzsyi3nux91alyNEkyehSAhBj6RQRnWMZsZPe1h3SObjakx6JIXy+BWdmPtbGt9uzdK6HCGatIsKRc8//zyKonD//fdXL3v77bcZNmwYVqsVRVEoKio673aefPJJFEWp8dOhQ4ca6wwbNuy0de66666LKV8IcYpHx7YnyGzgn9/s0LoU8TuT+yczvnscj365jf1HpeO1EPXlgkPR+vXrmTVrFikpKTWWl5eXM2bMGP7+97/XaXudO3cmOzu7+mflypWnrXPHHXfUWOfFF1+80PKFEKdwu1V+3J5DQVkV3RNDtC5H/I6iKMy4uisJof7c9eFGSu1OrUsSokm6oOtuS0tLmTRpErNnz+aZZ56pcd+JVqOlS5fWrRCDgZiYmHOuExAQcN51hBB199R3O/lgzWEeGNWOv4xoo3U54gwCTAbevKkXV726kke/3MarN/RAURStyxKiSbmglqJ7772XcePGMWrUKK8Vsn//fuLi4mjVqhWTJk3iyJEjp63z0UcfERERQZcuXZg+fTrl5eVe278QzVWV083XW7K465LWTB3VFp1OPmgbq9aRQbz4h258vy2bOavStC5HiCanzi1F8+bNY9OmTaxfv95rRfTr14+5c+fSvn17srOzeeqppxgyZAg7duzAYrEAcOONN5KcnExcXBzbtm1j2rRp7N27l/nz559xm3a7HbvdXn3bZpO5hIQ4k++2ZlFc4eDqHvFalyJqYVxKLJuPtOSZH3YRaTFzZbc4rUsSosmoUyhKT09n6tSpLFy4ED8/P68VMXbs2Oq/U1JS6NevH8nJyXz22WfcdtttANx5553V63Tt2pXY2FhGjhxJamoqrVu3Pm2bM2bM4KmnnvJajUI0VVszimgfbaFttEXrUkQt/f3yjhSUVfHAp1vwM+oZ3Sla65KEaBLqdPps48aN5Obm0rNnTwwGAwaDgWXLlvHf//4Xg8GAy+XySlEhISG0a9eOAwcOnHWdfv36AZx1nenTp1NcXFz9k56e7pXahGhqKqpcGPRyysyX6HQKL/4hhdGdorn3o02s3J+vdUlCNAl1CkUjR45k+/btbNmypfqnd+/eTJo0iS1btqDXe2d6gNLSUlJTU4mNjT3rOlu2bAE46zpmsxmr1VrjRwhxOhXIKKzQugxRRwa9jv+7vgcD24RzxwcbWJ8m40sJcbHqdPrMYrHQpUuXGssCAwMJDw+vXp6Tk0NOTk51C8727duxWCwkJSURFuaZQmDkyJFMnDiR++67D4CHH36YK6+8kuTkZLKysnjiiSfQ6/XccMMNAKSmpvLxxx9z+eWXEx4ezrZt23jggQcYOnToaUMCCCFqp9Lh4unvd/HFxgyeuqqz1uWIC2Ay6Hjrpl5MmbOeKXPW8/Ed/UhJCNG6rGZrfVoBry85QPfEEDrEWGgZEURyeAB+RplP0Fd4fSrst956q0ZfnqFDhwIwZ84cbr31VsATcvLzTzb3ZmRkcMMNN3Ds2DEiIyMZPHgwa9asITIyEgCTycSvv/7KzJkzKSsrIzExkWuuuYZ//OMf3i5fiGZh39ES7vt4E4ePlfPcxK7c0DdR65LEBfIz6nnnlt5MfnctN7+3jven9KWbjDVVJy63yuFjZezJKSGjsJxgfyNmgx6DXsGo12HS6zDoFcwGPR1iLVj9jGfczo7MYpbuzWPzkSKKKxzVy+OC/WgREUjL4z8twgPpmRxKWKCpoZ6iqCVFVY9PetTE2Ww2goODKS4ullNpotkqr3IyZ1Uary7eT2JoAK/d2JP2MdLBuikornAw+d217Mgs5rreiTx4aTuiLN67IKYpyCyqYOPhQvZk29h3tJSjtkryS+0cK62iyuWZcDfApKe86uz9Y/U6hVYRgZiNOswGPSkJwQxtF0mgycD6tAJe+mUvO566jEqHi7T8Mg4d/0k7Vsah/HLS8suocLhQFOiZFMroTtGM7x5HbLB/Qx0Gn9OQn98SioRoBiodLj5ee4Q3lh6guMLBTf2T+dtlHfA3SbN+U+JwuflozWFmLtqPw+nm7mGtuX1Iq2Z/+ibXVsn/LdrPvPXpuNwqMVY/2sVYiA/xIyLITESQmdaRQbSPsRBpMeNyqzhc7uM/J/8ur3Kx7lABB3JLqXK5qahysfJAPnkl9hr7W/v3kURbzxxIVVUlq7iSVfvz+XX3UZbvz8PudNMnOYzk8AAMeh1GvUKAyUBCqD+tI4Po1zKsWY8fJqGoHkgoEs3V15szefHnPeTYKrmmZwJ/HdmWxLAArctqtp5//nmmT5/O1KlTmTlzJuDpUvDwww+zcuVK7HY7Y8aM4dVXXyU62nOpfVpaGv/6179YvHgxOTk5xMXFcdNNN/HYY49hMnlOwSxdupRXXnmFdevWYbPZsEYnona9klb9xzBtbAeuTIlrNh+s1cHjQD5L9+ayeE8uZoOe+4a34Q+9Egj14mkrl1slu7iCSoebgrIqKh0uhraLrPXjSyod/LQ9hyV7czlqq8TpVnG4VEoqHWQXV+Jyq3SMtfLcxC4Y9Tq+25pFjq2SGKsf3RNDaBERSHyoP0EmA+UOF6WVTox6hfAgs9eeo9Ya8vPb632KhBCNx/q0Au7/dAtjOsfwvzHtaR0ZpHVJzdqZ5owsKyvj0ksvpVu3bixevBiAxx9/nCuvvJI1a9ag0+nYs2cPbrebWbNm0aZNG3bs2MEdd9xBWVkZL7/8MgC//fYbKSkpTJs2jejoaL7//nsefPBBureOY+q8St5blcbj4zrSu0WYJs+9vjhdblLzytiRWczOLBs7sorZnWWjxO5EUaB7Ygh/GdGWm/onE+x/5r5AF0OvU0gIvfAvGRY/I9f1SeS6Pqf363O63GxOL+LRL7cx8Y3fAIi0mGkZEcj6QwXMWn7wrNttFRnIxO7xXNcnkWirH7ZKB0eOlbPvaAmbjhSyJ7sEu9ONv0mPxWygc3wwg9tE0D0xBJPhouaK92nSUiREEzZ/UwYPfraVhQ8MlcEZNVZaWkrPnj154403eOaZZ+jevTszZ85kwYIFjB07lsLCwur3puLiYkJDQ1mwYMFZp1N66aWXePPNNzl48OwfjOPGjSM6Opo7//ESz/ywix2ZNsZ1jWXamA4khftea2Glw8XenJLq8LMzy8aebBt2p6c/UIvwADrHBdM53kq7KEuT6czscLlZn1aArcLBqI7RGPSe0JJXYiejsJyMwgpK7U6CzAaCzAZK7U6W7cvjh23Z2J0uAkyGGpMIt44MpGt8MP4mPRVVLooqHNWdwy1mA+NSYrmmVwK9k0Mbxfx60lIkhPCKcSmxvPTLXt5efpCXru2mdTnN2qlzRp46kbbdbkdRFMzmk6c7/Pz80Ol0rFy58qyhqLi4uHqYk7MpLi6mY8eO9G8Vzrf3Dmb+5kxe+mUPo/6zjCmDWnDXJa29eirJm1RVZdORIramF7Ezy8bOrGL255bicqvodQpto4LoFGdlfLc4OsdZ6RhnPetVYb7OqNcxsHXEacsjLWYiLWZ6JIWedt+V3eL455Wd+GVHDoXlVURb/UgO91z9dqYWM5dbZVeWjQW7cpi/KZN569MZ1zWWZyd2ISSgcb5G6oOEIiGasOIKBw6Xm7xS+/lXFvXmXHNG9u/fn8DAQKZNm8Zzzz2Hqqo8+uijuFwusrOzz7i9AwcO8Oqrr1afOjuTzz77rPp0HXhGwf5DrwQu7xrD28sPMmvZQeb8lsYVKbHcM6wNbaIax6nVI8fKWZWaz8JdR1m8JxeTQUfHGE+rz+QByXSJC6Z9jKXZdx6vDaufkWt71264Db1OoWtCMF0TgnlgVDu+357N41/v4LKZy3nn5j50TQiu52obBwlFQjRRx0rtTJq9Fr1O4ckrZXBGrZxvzsjIyEg+//xz7r77bv773/+i0+m44YYb6NmzJzrd6X07MjMzGTNmDNdeey133HHHGfe5ZMkSpkyZwuzZs+ncuea/fYDJwP2j2jG5fzKfbcjgwzWH+WHbCv5+eUduHpCsyemSKqebIwVlRAb5MeGNVRSUVRHsb+S1G3twWecYjPrm28dFCzqdwlXd4ujTIpS7P9zETe+uZeW04ViaaEvcqaRPkRBNUGFZFTfMXkN+aRWf/rm/dLDW0Ndff83EiRNrTIPkcrlQFAWdTofdbq++Lz8/H4PBQEhICDExMTz00EM88sgj1Y/Lyspi2LBh9O/fn7lz554xNC1btoxx48bxn//8p8ZE2mdT6XAx48fdvL/6cHVH2xN0OgWzwTN4oVGvYDLoMRl0nh+9znPf8Z8TgxyaDApOt4rd4cbudGN3uqr/LqtyEh5oondyGKn5paQXlLPxcCHfbc2isNwz2KGfUce39w2mRXhgs+7w21hkF1cw+IUl/GNcR6YMaqlJDdKnSAhxwYrLHdz07lrySuzMu1MCkdZOzBl5qilTptChQwemTZtWIyxFRHj6jSxevJjc3Fyuuuqq6vsyMzMZPnw4vXr1Ys6cOWcMREuXLuWKK67ghRdeqFUgAs+I2E+N78LwDlE8/9Mevt6SWX2fy61S5XRT5XRjd3l+e1tcsB/X9U5kYJsIVqceY1CbcNrJRQGNRmywPxO6x/OfhfsY3Sn6oq608wUSioRoQmyVDm5+by2ZRRV8ckd/ueKsEajNnJFz5syhY8eOREZGsnr1aqZOncoDDzxA+/btAU8gGjZsGMnJybz88svk5eVVbysmJgbwnDK74oormDp1Ktdccw05OTmAZ5qk83XIBhjWPoph7aPOuY6qesbQqToekBzHf9uPB6eq44McGnSeKTE8oz7ravy9cn8+pXYnbaKCSAoLqHFK5pI6jO8jGs4/r+jEmoPH+NPc9cy+uTfJ4YFal1RvJBQJ0USU2p3c+t46DuWX8fEd/ekYK6eJfcXevXuZPn06BQUFtGjRgscee4wHHnig+v6FCxdy4MABDhw4QEJCQo3HnugB8f7771NeXs6MGTOYMWNG9f2XXHIJS5cu9UqdiqJgMiie01oXODbgyI7RXqlFNJzgACNzp/Thjg82cOWrK3n8ik5M7BFfPTRAUyJ9ioRoAnZmFfO3L7Zx5Fg5H97eTyYEFUJ4XXGFg79/tZ0ftmXTIjyAv4xoy/jucfUejmSaj3ogoUg0RRVVLmYu2sc7Kw7ROjKQf1/bvdlcOiuE0MaOzGL+u2g/C3YdpUV4AA9d2p4ru8XV2/6ko7UQ4ryW78vjsa+3c9Rm54FRbblzaGu5WkcIUe+6xAfz9s292ZFZzCsL9/GXTzajAlfVYzBqKPIOKoSPyS+1c/+8zdz83joSQgL45f6h3DeirQQiIUSD6hIfzDu39GZM5xhe/HmP1uV4hbQUCeFDft6Rw6PztwHw0h9S+EOvhEYxN5EQonlSFIVWkYFsOFygdSleIaFICB/x4/Zs7vt4E5d2iuHZiV0ID7rAy3+EEMJLjpXa+WxDOsPPM5yDr5BQJISPeHnBXoa3j+L1ST3R66R1SAihvdeXpFLldPO3MR20LsUrpBOCED7gUH4Zh4+VM6pTtAQiIUSj8dXmDK7tnUikpWm0XEtLkRCNmNutMm99OjN+2k1SWABXpMRqXZIQQlQL9jdSXuXUugyvkZYiIRqp1LxSrn97DX//ajtju8Tw1T0Dm8Us1UII3zG+ezxfb86isKxK61K8QkKREI1MldPNq4v2M3bmCo6WVPLx7f148Q/dCAkwaV2aEELUcPOAZNyqyv/WHNa6FK+Q02dCNCKbjhQy/cvtHMgr5c6hrZg6si1+Rv35HyiEEBoIDzJzXe9E3v8tjTuHtvL59ytpKRKiESi1O3ny251c8+ZvmI06vr1vENPGdPD5NxghRNN3U/9kjpVVsTr1mNalXDRpKRJCY4v3HOUfX+2gsNzBY5d35NaBLZrk7NNCiKapXXQQoQFGdmQWM7yDb49XJKFICI3kl9p56rtdfLc1iyFtI3huYlcSwwK0Lus0BWVVfLUpg36twukSL5PNCiFqUhSFpPBADheUa13KRZNQJIQGlu3LY+q8zSjAf67rxsQe8Y1uuo7tGcW889tOfkldjduQw8S863nh6l5alyWEaIRS4oNZvCcXl1v16bHUpI1eiAZ22HaYGatmExVi59cHL+Hqno1n/jK708XXmzO5/M3PmDD3bdak7+Sv/a8iytQOH36fE0LUs+t6J5JZVMFXmzO1LuWiSEuREA2ktKqUtdlrSbAkYHF3xBpmbjTzl2UXV/DhmoN8sm0pxfZyesZ04M2JkxnZ0TOC9ue7lqFXpNO3EOLMQgI8Y6j5+ncnCUVC1LNjFcfYkreFIGMQw5OGo1N0wC5UjetSVZW1hwp457ctLD+8GaPewIQOQ5gysB1toiy/W9d9vG4hhDjdnFVphAQYubyrb4+6L6FIiHqSVZrFnoI9hPmFMSJxxGmnyNQGTEWqqpJRWMGmI4Xk2uzk2MpYcGAdWaUFxFsieWz4NVzdM+GcI2arDVmwEMJnlFQ6+GxDOrcMTMbf5NstyhKKhPAil9vFjmM7KKgoICYwhhFJI864Xn33IXK5Vfbk2NiQVsjKQ6lsztlNYblnGH5/o55Ak5H+Cd15vmc7BrYOP289fnp/yhwV9VqzEMI3fbLuCJUOF5P7t9C6lIsmoUiIi1TlqmJr3lYqnBXoFB1dwrvQLbJbLR7pvZaXSoeLLelFrDuYz4ojO9mdm06Fw4VBB23C45nYcTj9WkTQKzmU0MC6TxcSaAzAVlXitXqFEE3DUVslry46wHV9EokJ9tO6nIsmoUiIC1RUWcSm3E2Y9WZ6RPUgwFiXMYYurqWooKyKDWkFrEnL5rf0rRw6VoDTDQFGA12j23F3v3H0Tg6lW2KIV0bFDjQGUeYou+jtCCGalqe/34XZqGPaZR20LsUrJBQJUUcn+gqFmEMYnjj8gk+F1baPjqqqpBdUsD6tgJWHUtmQvYusIs+prDD/QHrHdeXGbnH0aRFGu2hLvYwRYjUFcbgk3+vbFUL4rqV7c/lhWzYz/9id4ICz90f0JRKKhKilYnsx63PWExcUd9a+QrWlnKOlyO1W2ZVtY/2hYyxL28H2nMMUVTgASAqOZkjCQPoOjqB3i1DiQ/wbZIwjqzmIskJpKRJCeBSUVfHYVzsY3CaC8d3jtC7HayQUCXEeTreT37J+w0/vx8ikkV4JIYoCB/JKmfLBAnLKc7C7K3C43FQ53eSX2gEVg05Ph/A2XNt5NH1ahNIrOZSQgLr3B/IGi7+JSodTk30LIRqXSoeLez7aSKXDxQt/SGk0g896g4QiIc7C4Xaw8ehGKhwVDIwfiFnvvYEWO0bGs/fYSmxVCh3C2hJoDMTPaMBs1LFifz7jusZyy8AWXukP5A0Ws4FKh0vrMoQQGiuvcnLnBxvZkl7EB3/qR3yIv9YleZWEIiFOoaoquwt2k1+Rj17RX0AH6tp54opePHHFmecRe+Qyr+/uogWZDZRXSSgSojnbf7SEez7aRGZRBXOn9KVvyzCtS/I6CUVC4Ok8vb9wP4qi0CGsA53CO2ldUqMSaDbgcKlUOd2YDDKytRDNRVF5FWsOFrBo91G+2pxJi4hAvrl3EG2jLed/sA+SUCSarYLKAnbm78StuokNiuWSxEu0LqnRsvh53irK7E5MBm36NQkhGs6RY+VM+3Ibaw4dQ1UhKSyARy5r36hO69cHCUWiWVBVlYySDNJsadXLwvzCGBA3AINO/hucT5DZc7ltqd15QYM/CiF8x4a0AqbMWU9ooIkXrk5hYJtwEkK9342gMZJPA9EkqarKkvQlmPQm3KobBYUESwKD4wc3qSslGkrQ8Zaikkq5Ak2Ipmz/0RJueW8dXeKDeeeW3uecD7EpklAkfJrT7SStOI3ssuwaYUdVVXpF9yLYHKxhdU1HkNnzVlFql1AkRFPldLl56POtxAT7MWdKHwJMzS8iNL9nLHzejvwdFNmLANApOlpaW0oLUD2zVrcUOTSuRAhRX+asSmNHZjHz7xnULAMRSCgSjZjD5SCvIo/c8lxKHaUoKLhUF7GBsQyOH6x1ec3KiSZ0aSkSomkqLnfw6uL93Ngvie6JIVqXoxkJRUJza7PXsiR9CcGmYLpGdkVVVdyqG7PBTFRAFG1C2hBoDJSWIA35GXXoFLBJnyIhmqS8Uju2SietIoK0LkVTEoqE5npH96ZfbD+WHFkiLUCNlKIoBJj0lEooEqJJahMVxHW9E/jv4v1c2zuh2XWwPkFGYROa+3TvpyxNX8qxymNalyLOwc+olz5FQjRhD4xuR7ndxfu/pWldimakpUhoLtmazKD4QVqXIc4jwORHUUWF1mUIIepJbLA/1/dNZPaKQ9w8sAXWZthaJC1FQohaCTIGUmwv0boMIUQ9un1wK4orHKxObZ4t9xKKhBC1YjUFSSgS4rgNaQVcN2s1K/bn8cz3u9iRWax1SV5xYkofVdW4EI3I6TMhRK0Emy1klhzVugwhGoVl+/JYd6iAW95bh1sFnU6hS7zvDxbrOp6GmuvFvhKKhBC1EuwXxJ5jqVqXIUSD25ZRRHGFg4N5ZTzx7c4a97mPt6gs3HWUAa3D2Z1tY2DrCDrHWTHqfe9kTFaRp99gjNVP40q0IaFICFErwX4BlDulo7VomtILyhny4pLq2xazgSqXG7vTXavHH8ovY8qc9cdv7QWgR1IIz1+dQnJ4gM/MLL/vaCnguUS/OZJQJISoFau/kYoql9ZlCOF176w4yDM/7K6xrH2MhStSYnnyu1213s539w2mvMrJd9uy+HDNETYfKeKymcvRKfDv67oxsUeCt0uvM1VVcblVXKqK2w1u9cTfKm4VdmQWEx/iT6C5ecaD5vmshRB1ZjEbqKhyoaqqjC4ufF5hWRULdx9lb04J7648dNr9f76kNaM7RRNgNvC3L7ZVL//ToJZc0yuekkonHWOtlNmdvLk0lduHtCQ5PBCAfq3CeWZCVwrKqkjNK+XODzawNb2YAa0iMOgVjHodBp2CW/UEEfX4b/fxwJJXYqek0omt0uH5XeE45bYDW4WTEruD0konhwvKKSp30DLCs2+n243L5Qk6TpeKyaDjf7f1o01UEL+l5nPj7LXnPTajOkZ76Sj7HglFQohasfgZcalgd7p95lSAEGfy666jPPzFVoorHCSFBdA2Koj9uaXV9z8wqh2jOkYBcF3vRK7rnYjbrVLlOv21H+xv5F8TupxxP2GBJsICwwgNNDH3tzTmXuCgiH5GHVY/IxY/A1Z/IxY/I6EBJpLCAtia4bnq7VB+2Vkfvz6tgDZRQSSEBAAQGmDk8Ss6odcp6BTPj17H8d8KXZtAh/ELJaFINDmqqnL55Zfz888/89VXXzFhwoTq+xYtWsTjjz/O9u3bCQwM5JZbbuHZZ5/FYPD8V1i6dCmvvPIK69atw2az0bZtWx555BEmTZpUvY25c+cyZcqUGvs0m81UVlY2yPPTStDx5nRbpUNCkfA5qqqyK9vGr7tyeX3JAS5pH8lzE7sSaTFXr+Nyq6iqiuEMHaR1OgU/3YW97j/4U1/S8stxuN04nG6cbhWnW0WncDyUAHh+3/m/jQC8c3NveiSFYPEzYjKcvcN2QmgAL/2y95z7nz5/O5mFFdw+pCX/vKITT3+/iwCTnjFdYi/o+TRlEooEAJmlmdjsNtyc7FSooJz2t0FnINgcTLA5GLPejMPtwKAYLup0itPt3fm0Zs6cecZ6tm7dyuWXX85jjz3GBx98QGZmJnfddRcul4uXX34ZgN9++42UlBSmTZtGdHQ033//PTfffDPBwcFcccUV1duyWq3s3Xvyjag5nE46MX5JSaWTKIvGxQhRS5lFFcxefpCfd+SQY6skyGzgml7xPHVVl9PChl6nAN7/v5wQGkBCaECt1n3lj9144NOtPDp/Oxv+Meq869/UP5mvNmeSll/GA6Pb0TnOip9Rj9mgw2zQU1BWxeI9uby78hAfrj3Mv6/txtguMTzy+TY6xFhpcfy0m/CQUCQA2Jy7mf6x/dErnm9CKidH7lJPGcXL4XZQZC/isO0wdpcdh8uBSW8663ZP3U6QMYhgczCh5lAsJgt6nR6Hy4FOqd1lq8OGDSMlJQU/Pz/eeecdTCYTd911F08++WT1Olu2bOHf//43GzZsIDa25regTz/9lJSUFP75z38C0KZNG1588UWuu+46nnjiCSwWC3//+99rPGbq1KksWLCA+fPn1whFiqIQExNTq7qbihMTRMqksMIXFJc7eHnBXuatP4LFz8j47nGM6hhNnxZh52x50dr4bvE88OlW8kvtbDxcSK/k0HOuH+xv5NcHLznnOoPbRnD3sNZMn7+dO/+3kQ/+1Jc9OSXc/dEmvrpnoLT8nkJCkQAgxBxChH9ErdaNCax7GFBVlTJHGYX2QjJKM2q0SrUNbVvr7bz//vs8+OCDrF27ltWrV3PrrbcyaNAgRo8eTXl5OTfeeCOvv/76GQOL3W7Hz6/m2Bv+/v5UVlayceNGhg0bdsZ9FhcX07FjxxrLSktLSU5Oxu1207NnT5577jk6d+5c6+fhi05tKRKiMTuUX8Ztc9eTX2rngdHtuGVAC5+5mkqnU6pPcT3y+VYWPXSJV1qiIy1m3rypJxPfWMW/vt/FG5N6MuH1VTzxzU5e+EOKFypvGnzjVSJ8nqIoBJmCCDIFkWhJvODtpKSk8MQTTwDQtm1bXnvtNRYtWsTo0aN54IEHGDhwIOPHjz/jYy+77DJmzpzJJ598wnXXXUdOTg5PP/00ANnZ2Wd8zGeffcb69euZNWtW9bL27dvz3nvvkZKSQnFxMS+//DIDBw5k586dJCRof8ltfTkRikrtDo0raTpOXMmnqiplVS6KyqtQj4+O/M2WTHZm2RjSJoJBbSJICPWv9YdjldPN9sxiHC43ZoMOh0vF6XZXd6TV6xTCAz0ddZvaqd+1B4/x5w83EhZg4tv7Bvvk6aGre8bz9Pe7OJhfxpK9uYzo4J2rwYx6HXcMacXUeVuIC/bnmQldeOSLbfRqEcp1vS/8fbkpkVAkfEpKSs1vNLGxseTm5vLtt9+yePFiNm/efNbHXnrppbz00kvcddddTJ48GbPZzOOPP86KFSvQ6U5vTl+yZAlTpkxh9uzZNVqBBgwYwIABA6pvDxw4kI4dOzJr1iz+9a9/eeFZNk6B1R2tpaXoYuTaKnln5SG+3ZLF0ZJKzMdP5VQ6zjxI4A/bTgb2S9pF8tZNvfA3nfl0R3G5g/9btJ9P1h2hwnH+MaWSwwMY3j6KER2i6NcqDLPhzNt1utxsyyxmX04JWUUVFJafHozDg0yM6RJD+2iLZkHry40ZPDp/G72Tw3jrpl4EB/jmLO8hASZmXN2V6fO386e5G0h97vLj/Z0u3rHSKox6BbNRx7W9E9mQVsg/vtpBXLA/g9vW7mxBUyahSAA1O1U3ZkZjzTc5RVFwu90sXryY1NRUQkJCatx/zTXXMGTIEJYuXQrAgw8+yAMPPEB2djahoaGkpaUxffp0WrVqVeNxy5Yt48orr+SVV17h5ptvPm9NPXr04MCBAxf9/Bozo16H2aCT02cXwFbpYPm+PNYfKuD91YcBmDKoBW2igrA73KhARJCJkAATblVl7qo0lu3LO207y/blsTvHRs+kmv1MDuWX8eP2bGavOIjD6eaOIS0Z2TEaq78Ru9OFSa/DoNPhOjFwn1slvaCcJXtz+WVnDnN/S8OgU4i2+hET7EeM1Y/gACMKkF9qZ3XqMWyVThQFoixmwgLNp71jZBSWM/PX/bSODOSKlDgm9IivHjunIcxalsqMn/bwx96J/GvC6Z2ofc0feyfyj6934HKrzN+UwbVeasn5eUcOg9tEVPcj+teELuTYKrnzfxv4+I7+dE8M8cp+fJWEomZgb8Fe8ivytS6jXj366KPcfvvtNZZ17dqVV155hSuvvLLGckVRiIuLA+CTTz4hMTGRnj17Vt+/dOlSrrjiCl544QXuvPPO8+7b5XKxfft2Lr/8ci88k8bN36iXjta1oKoq69MK+XJjBtsyi9l/tASnW6VFuOcKpEcua8+9w9uc9fHD23vGyDlWamd9WiHr0wpYd6iA7ZnF/OXjzfRICiExLIDSSidrDx1j39FS/Iw6JnSP58FL2xFlOf+8Ve1jLIzqFI2qquzJKWFDWgHZxZXk2Co5aqvkSEE5AAEmPX8a3JIhbSPpGh981rBR5XSz8kAe32/L5r2Vh3h18X6u653IA6PbEV2P82gdyC1l1rJUPt+YwX3D2/DQpe2axClBnU7h49v78ce31/DIF9u4slvcRXeIrnS42HC4gKfHnxxXyWTQ8eZNPZn87jpunbOO+XcPpFVk85ziAyQUNQv5FfkMih+kdRn1KiYm5oydq5OSkmjZsmX17ZdeeokxY8ag0+mYP38+zz//PJ999hl6vefNZsmSJVxxxRVMnTqVa665hpycHABMJhNhYWEAPP300/Tv3582bdpQVFTESy+9xOHDh08LZU2Rv0lPSaX0KTqb3JJK5m/K5LP16RzMLyMpLIBBbSKY1C+J4R2iiA/xp9TuJPAsp79+LzzIzJguMYzp4nlt7ztawpxVaaTmlbL5SBFBZgNd4oJ5cHR7LmkXedbTaueiKAodY610jLXW+bGnMhl0jOgQzYgO0VQ6XHyy7gj/XbSfX3bm8MXdA2ntxQ9aVVVZeSCfd1ceYunePCKCzPxrfGcmD2jhtX00Bv1ahRMX7EdWcSUfrE7jzqGtL2p7+46W4Fahy+8GZwwwGXjvlj5c/eYq7v14c7O+Ik1CkWhWfvrpJ5599lnsdjvdunXjm2++YezYsdX3v//++5SXlzNjxgxmzJhRvfySSy6pPgVXWFjIHXfcQU5ODqGhofTq1YvffvuNTp06NfTTaXD+JgMllVVal9GoOF1ulu3L49P16Szak4tepzC2SwzPTOxC/5bh6H7XFyToIq6CahdtYcbVXS+25HrnZ9QzZVBLJnSP59pZq7nlvXXMv2dgrVqwzqXS4eLrzZm8t+oQ+46W0inWysvXduPKbrFn7Q/l616b1JOr3/iN537cwxUpccSF+F/wtvbklKAo0C769IAaHGDktRt7Mv71Vcz4cTdPjT/zKN1NnaKeOghNE2az2QgODqa4uBir9eK+EfmaVZmrmnxLkWgYE9/9iChzC2bdJK+nw8fK+GxDOl9szOCozU7HWCvX90lkQvd4n+3gWx8yiyqY+Poqoq1+zLuz/zkvjXe5VY6V2TlWWkVYoKn6tJut0sHs5Qf5aO0RCsurGNUxmj8Nakn/VmFN4lTZ7x3ILWHxnlx2ZdnYlW2rnrk+0KRnWPso+rYM47LOMcQE1y1kPvHNDpbszWP534afdZ3/rU7j8W92MmtyLy7r3DjGYmvIz29pKapn5Y5ynKqTVZmrsJpO/mMWVBYwNGEowebmO8eM8D0WUxDFVaXnX7EJO3ysjH9+s5Nl+/KwmA2M7xHHH3sn0SXe2iQ/oC9WfIg/c6f05bpZq5kydz039E0kv6SKvFI7+SV28krt5JXYyS+1U1BWhfuUr+mD20RwXZ9E3llxkAO5pVzXO5FbB7bwycvsa+O31HxmLTvIsn15+Bv1dIi10KdFGH8a1JJLO8fw/m9prDqQzzM/7OLlX/by3xt7VPc/O5/ckko+35jBTf2Tz7neTf2TWXkgn799sY0u8cHEX0TLlC+6qJai559/nunTpzN16lRmzpwJwNtvv83HH3/Mpk2bKCkpobCw8LQrgn7vySef5KmnnqqxrH379uzZs6f6dmVlJQ899BDz5s3Dbrdz2WWX8cYbbxAdXbvxG7RqKZq3Zx4dwzsS5hdWY3yefYX7CDYFEx1Y/7MRS0uR8Ja/fLaIg8cK+eHuP5x33UqHC73OMyN4U+B2q3y49jAzftxDeJCJB0a14/KusRfUj6c5Wp9WwH0fb+KozU6Q2UBEkIlIi5mIIDORFjORQWYijv8OCzJx5Fg5by1LZU9OCWGBJv53W186xzXNL5F2p4vnftjN+6sP0ynWym2DW3LFOU4JFlc4GPnvpcSH+PPNfYNrtY8nv93Jx2uPsP6xUedtySwud3D5f1cQF+LHh7f30/zUpE+0FJ0Y0O7348aUl5czZswYxowZw/Tp02u9vc6dO/Prr7+eLMxQs7QHHniAH374gc8//5zg4GDuu+8+rr76alatWnWhT6FBJFgS6BbZ7bTlekWPWz3zuCRCNFbBZiuljoway1RVJaOwgl3ZNnZm2diVZWN3to3MogoAYoP9aBUZSMuIQFpFBNEqMpAeSaEE+/vWKaZ3Vx7i2R93M7l/Mo+O7eAzIyQ3Fn1ahLFy2gicLrVWQbJnUijju8dRXOHAbNA32fB5MK+UqfO2sDenhKeu6szNA5LP2+K4YGcO+aVV/Glwy3Oud6pgfyNVLjfTv9rGC9ekVE/bcyb+Jj3dk0L4YVs2761M4+5hF9fB25dc0P/q0tJSJk2axOzZs3nmmWdq3Hf//fcDVHdKrXUhBsNZ55IqLi7m3Xff5eOPP2bEiBEAzJkzh44dO7JmzRr69+9f5+egNb2iZ3fBbvIq8nCrblRUWlhbEOp37nluhNBSsF8gFY6y6ttZRRXc9/EmNh0pAiA80ESnOCtXdIulbZQFl9vNkYJyDuaVsf5QIZ9tyKDK6fkyEBFkJj7Un4QTPyH+tI4KOmPnZK0dtVUy89d93DqwBU9e1bSnc6lPRr2OulzUpCgKIQFnn1vRl6mqykdrj/DsD7uJtpqZf8/A064KO5MXft7Dm0tTub5PIndfUvuwcv+otrSKDOSxr3Ywff52Xrux51nXvendtaxPK+DqnvFc0zO+1vtoCi4oFN17772MGzeOUaNGnRaKLtT+/fuJi4vDz8+PAQMGMGPGDJKSkgDYuHEjDoeDUaNOzhjcoUMHkpKSWL169RlDkd1ux263V9+22WxeqbOuzjYoYrI1mVC/UBRFQYcOnaJjU+4mBsfXrilUCC34G4043G7SC8r5anMmc1YdIsBk4K2betEzKYRIi/mc33JdbpXDx8rYdKSIzMIKMgrLySyqYHtGMVlFFTjdKv1ahjHvzv6Nqn/O8z/twWzU88CodlqXInxYeZWTQ/llpOWX8+WmDBbvyeXGfkn8Y1xHAkzn/zheuT+fN5em8ujYDvx5aKs6/R9RFIXx3ePJKKzgtcUHyCyqOGN/Ic8YWwU8NLod942o/byUTUWdQ9G8efPYtGkT69ev91oR/fr1Y+7cubRv357s7GyeeuophgwZwo4dO7BYLOTk5GAymU7rmxQdHV09jszvzZgx47R+So2Joig1Olm73K5azxYvREM6WnaU7LJsyp3lHHVkYat0MOTFJfgb9UzoEccjl3UgLLB23+b1OoVWkUFnHBzO5VaZt/4Ij321g9wSOxY/Awt3HaVznJU2URZvP61a25BWwFebM3n+6q5yVZmoM7vTxRcbM/h47RF2Zp38ch4X7Me7t/RmZMfa9yt9fckBOsRY6hyITnVt7wQ+XnuEK19dyV9GtOH6Pkk1Tk0qioLVz9joWmsbSp1CUXp6OlOnTmXhwoWnzTZ+MU4dJyYlJYV+/fqRnJzMZ599xm233XZB25w+fToPPvhg9W2bzUZiYuOd8E5FpdxRzqrMmn2kAo2BdI/qrk1RotkqqCxgW942dIqO6IBoWoe0JsAQQFuLk7bWbOJD/OndIsyr/YL0OoVBrT1zL+07WkJ5lYup87YA8OjYDtwyoEWD9ytxuVX++c1OUhKCZcJMUWe7s2088OkW9h0tYUSHaKYManm8b10gobX8InHCofwyVh88xr+v7XZRrahRFj+++8tg/vX9Lp75YTevLj7AHUNacceQlhiOXxQRHmSioLR5jkdWp1C0ceNGcnNza0yJ4HK5WL58Oa+99hp2u716ZOCLERISQrt27arnkoqJiaGqqoqioqIarUVHjx49az8ks9mM2Wy+6FoaikFnYFTyqNOWLzqyCLvLjk7RoVf00pok6lVGSQb7C/cT6hfKJQmXnPbmG2nRc3M9jhqcGBaAn1HH3pwS+rTwjCDeOzmUl3/Zy3srD/HmTb3oldxw/e4+WXeEXdk2vrpnYLP95iwuzNqDx/jT3PUkhgXw/V+G0Cnu4q6a+mpTBhazgXEpsRddW1igiVf+2J0HR7dj1vJUXl6wl193H2XmH7uTGBZAYmgAu3O06XKitTqFopEjR7J9+/Yay6ZMmUKHDh2YNm2aVwIReDpyp6amMnnyZAB69eqF0Whk0aJFXHPNNQDs3buXI0eO1JitvCkK9wtnW942XKoLl9uFSt1HUPCVyV6FdhxuByszVhIVEMXwpLMP7Fbf9DqFNlFB7D9ayo39ktDrFK7umcB/ruvO3R9tZNqX2/hp6pAGucy/qLyKlxfs5Q+9EuiRJBdAiNpbuT+f2z9YT8+kUN65pXet+gudi9utMn9zJuNSYr06/UZiWADPTOjKxB7x/PWTLVz+3xU8N7Erl3eNYfr87ezOtl309C++pk7/UhaLhS5dag79HRgYSHh4ePXynJwccnJyqlt5tm/fjsViISkpqXruqJEjRzJx4kTuu+8+AB5++GGuvPJKkpOTycrK4oknnkCv13PDDTcAEBwczG233caDDz5IWFgYVquVv/zlLwwYMMAnrzyrCzl1JurbnoI9ZJVmMTh+MCa99lf6tIuysC+3hACTgbZRQezKLubGfkk8cWVnrpu1mh+3Z9M5Lpjp87cRF+LPw5e2JzEswKs15Noqef7nPZRWOvnbmPZe3bZo2rKKKrjt/fUMbB3Omzf18kqI2XikkIzCCq7umeCFCk/XKzmMH6cO4bGvtvOXTzZz/6i2tIwI5KnvdjLvzqbd8PB7Xh9o46233qrRwXno0KGA5xL6W2+9FYDU1FTy80/O2p6RkcENN9zAsWPHiIyMZPDgwaxZs4bIyMjqdV555RV0Oh3XXHNNjcEbG4sNORuwu05e7XaiRadtSPPrvS98x6rMVcQGxjIiaYTWpVRrG23hh+3ZtHj0B4DqwNO3ZRjdEkP4ZWcOQWYD69MKgUIW7c7lxT+kcHnXiz+tAJ6rb+77eDNb0ou4umf8Rc/XJZqXt5cfxN+k59Ube3qtVeeXHTlEWcz0rsdTx8H+Rl69oQcJoQG8vuQA/7yiE49/s5O9OSW0j9HuQoeGdtGh6PfjET355JM8+eST53xMWlpajdvz5s077378/Px4/fXXef311+tYYcOwu+wyarTwGW7VzcLDC+kZ1ZPIgMjzP6ABXdY5mk1HClm46ygAozudvDpnSJsI3v8tjaeu6oLJoOOuoa1IzS/jvo838Z/rujOhx8WPqbLyQD7r0gp479bejOhQ/yPOi6ZDVVW+2ZLJ9X2SLmri31O53So/78xhZMeoeu/XpigKfx7aireXpwIQEmDk6y2ZTBvToV7325hIr10vuZC+PkI0NFVV2VOwhwVpCxgSP6TRBSKAmGA/tmcUV9/+13e7sDtdAPyxTyIldierDuQzrF0kv+7O5b/X9+Dqngk88NkWvtiYcbbN1orD5Wbyu+sICzTVek4pIU7IKq6ksNxBj6QQr23zl505ZBRWeK0l9HxCA030SApl+f58Lu8ay7dbsnC7m8/nm4QiL9hbsJfDtsNalyHEacod5fyW+RsrM1eyMnMlKzJXEGIOYUzLMQQYvdsPx1t0isLRkkqGt4/kryPaUGJ3sv/4LOGJYQF0jrPy9ZZMru4Zz65sG1lFFbx4TQp/7J3II19s5dP1Ry54319vzgRg6si2jWrwSOEbtqYXAdAtIcRr2/xiYwbtoy3Vw1U0hLFdYli2N49L2kWSWVTBhsOFDbZvrUko8oIKZwVXtb5K6zKEqHao+BBL05ey89hO+sT2YXD8YAbHD2ZowlBiAs88jEVj4WfUkxgaQNtoC3cPa4NOgR2ZJ1uOeiaFsjGtkP6twtEp8NXmTHQ6hecmdmVSvySmfbmdx7/eQUWVq877rnR4HjP5PDOJC3Emv+zMoU1UENFW7w0Hs/doCcM71P+ps1MNax9FlcuN1c9IfIg/X2/JbLB9a01CkReY9CaqXM1zoCvRuBTbi1l4eCEOt4NhicPoE9MHo873RmFuHRlIam4p/iY9baKCaowEfHnXWErsTlLzShnRIYqfd3hGtdfpFP41vgv/Gt+Zzzakc8WrK2qEqfPJK7GTmldGtNUsYxKJC7L+UAGdYq1ea2Usr3KSU1xJQujp03HUJ9fx02VGvcJV3eP4cXt29ZyFTZ2EIi8w6Uw43A6tyxDNWE5ZDkvTl7KnYA+jkkbRLtS35+hqHRlEap7nlFmbqCAO5pdW39e3ZRjRVjPfbc1mZMdodmXbOHzMM0mtoihMHtCCH/46GD+jnolvrOLNpanVb/LnctVrK5n7WxoxVrnaTFyYCT3i+X5bVvVr92LszSnhxtlrUYHBbRru1BnA9uNfJtpGWxjfPY6icgfL9uU1aA1akVDkBdJSJBqK3WVn57Gd1X2EVmauZHnGcortxQxNGEq/2H5Noi9M66ggjhSUY3e6SA4PJC2/vPo+vU7hipQ4vt+WzZjOMZj0OhbsPFrj8W2iLHx1zyD+NLglL/6yhxtnryGzqOKc+wwyGxjaLpJX/ti9Pp6SaAb+OrItscH+/HvB3gvehqqqvLUslSteXUFJpYNP7+xPi4hAL1Z5fpuOFNI2KohgfyMdYqzEWP2q+0s1dV4fp6g5MulNlFZd/DcDIX5PVVX2Fu4ltzwXAD+9H61DWtM5vLPGldWv1pFBuFU4fKycluGBZBVXUOlwVY/7cmW3ON5deYhd2TYu7RzNl5syuGNoqxrbMBl0TB/bkWHtonjosy2MmbmcZyZ0YXz30y/bL69yUl7lIiLIdMbJaoWoDT+jntsGt+S5H3dTXO6o0wTCS/bk8tayVLZnFlNe5eLWgS2YfnkHzIaGne8PYNPhQnqeMop7Ypg/6YXl53hE0yGhyAuMOiNVbmkpEt7hcDnYmreVcqfnTahdaDs6hDWfcULA06cIIDW3lOTwAFQVMgrLaRPlGUSuW0IwyeEBfLsli0s7x/D9ts3kFFcSE3z6qa8BrcP5aepQ/vHNDqbO20JBWRVTBrUEPGPA/LQjh38v3MuxMjv3DGvdcE9SNEmjO0Xz9Pe7+HX3Ua7pde4RqF1ulQU7c3h35SE2HC6kb4sw7h/Vlk6xwQxqE65Jq2+p3cm+oyVMGdSielm3hBC+3pKJw+VukCl2tCShyAvk9Jm4EOWOcvIq8sgpy6nuk+ZW3RgUAymRKQSZmm+LRVigiZAAI6l5pfRq4Zmd/kBuaXUoUhSFK1Pi+GB1Gg9d2g5FgQW7cs46WW1wgJH/Xt+d2GA/nvpuF/mldh6+tD23zFnHiv35DG4TwaybelVvX4gLlRgWQLfEEFbszztjKKqocrE9s5gFO3P4aUcOmUUV9G0Zxjs392ZkxyjNT39vTS/CrVKjpWhCj3jeWXmI9YcKGNjA/ZsamoQiLzDrzRKKxFml29JJs6XVWKYoCn56P6IDoukR1aNRzDnWmCiKcryzdRlRFj8iLWZ2ZtkY0+XkAHZXdovjtSUH2JZRTJ/kML7fln3WUHRim9PHdiAiyMRzP+7hqM1OZmEFFrOB/93WV/MPI9F09G8VxtxVafjP305IgBGjTuFAXil7sks4dKwMVYVIi5lLO0VzfZ8kuiYEa11ytS3pRVj8DLQ+5TRyp1grFrOBTUcKJRSJ8zPqjHL1mQ+pdFZS6azE7rLjcDuI8I/Az3D6aRdVVcktzyW1OBW36kZBQUUlPiielsEtz7r9E6NG51V4rtZICEpgcPxg+dCto9aRgezJKan++2B+WY3728dYaB9t4bttWYzvEcc/v9lJYVkVoYFnD5iKonDn0NZEWfx4+POtON0qJr0OW4WzTv0/hDiXv4xoS7ndxcbDhZTYHdgdblpFBjK0XSR3xbamY6yVznHWRjn0w76jJbSPttSoTadT6JYYwraM2g9x4askFHlBU/mwU1UVW5WNYnsxxfbiGkHP4XbgdDtPrnuWaU10io5wv3DiguKwmM5+KsLldnGg6ABHy4+iU3QoKGfcrqqquFQXydbkcwaRsyl3lLMtfxtVrip0iudcuFlvxt/gj1lvRq/Tsz1/e43JfE8VFRBF35i+GHQn/6scth1mecZyAPwN/igoVDg9VzYpioKqqrQPa0/H8I51rlec1DoyiB+356CqKi3CA9mRdfob8riUWP6zcB8Pjm6HW1X5anMmfxp8/tfJhB7xJIb58+vuXK7tlSCBSHhVkNnAvyZ00bqMC1Ja6SQk4PQvFoFmPbYK5xke0bRIKPISh9vBqsxVgOeD/cSH/Am//7A36oyE+4UT7h9OsDm4+gO7IVS5qkgtSuVY5bHT7rOYLISaQ0myJtUY9M+gM9TqFI/T7aSgsoDUolRKqjzf8s8UGhUUWoe0pn1Y+1rVfKj4EMvSl6EoClaTlfigeELMIaiouFU3btWNikphZSGZpZnVIcff4E+PqB6Y9WcfYbZVcKuz3ncmydZkkq2eEY/LHeUoioK/oWEHV2sOWkUGUWp3kltip0VEIN9vy0ZV1Rqvp8u7ekLRiv35dEsIqXUoAuiVHEav5LD6Kl8InxQWaGJrRlGNZV9szGDJnjymjmqrTVENSEKRlwxLHFan9e0uO4WVhWSVZrHr2C5cqgu94rn08tQApaAQbA4m1C+UKP8ojPrafaN1q25yy3PJKMmg0lXp2a7q2a5Jb6J1SOt6ackw6AxEBUQRFeDdyTRbBresbikqqSohszSTg8UHq1uZdIoORVEIMYc0aB+dxjp/WFNw6hVoLcIDKLU7OVZWRUTQyYDbJiqIlIRgvt6cyaR+Sfzty21kFVUQFyIhVYgLMbpTNJ9vzOC31Hy+25rF1vRidmXb+EOvBG6r5RcOXyahSCNmvZmYwJjzzkPlVt3Y7DYK7AVsyt1Uo0O3oijV/VxOOBF8dIqOqIAoOoV3anIf3BaTpdldot4cJYYFYNQrpOaV0qelp0UnLb+sRigCuKRdJK8uPsCMq7tiNuj4eksm9wxro0XJQvi8kR2j6RofzI2z1wJwVbc4po5qy2WdG/ecid4ioaiR0yk6QvxCCPELqfNpHiF8mVGvIzk8kNS8Mv7Qy3NZ/qH8Mnq3qHnKa1K/ZF5dfIB569PRKwoLdh6VUCTEBdLrFN6+uRd/+2Ib/VqGcd+Ipn/K7FQSioQQjVbryEBS8zwTwyaG+bP3+NVop4oJ9uOyztG8u/IQ4OkQKoS4cLHB/vzvtn5al6EJCUVCiEardWQQX2/OBKBzbDA7s2xnXG/mH3uwO8dGXLA/0dazd6oXQohzkVAkhGi0WkcGkVVcSYtHfwCga/yZB7nzN+lrjMArhBAXomlPYiKE8GljusQw+JQRdJ+d6JtjvwghfIOEIiFEoxVoNvDqDT0ATwfQlIQQbQsSQjRpEoqEEI3aiWk7XO4zj6IuhBDeIqFICOEzTozDJYQQ9UFCkRCi0fMzet6qCsqqzrOmEEJcOAlFQohGb1g7z7QxacfKNa5ECNGUSSgSQjR6oztFA3Cs1F7rx1Rs24bqctVXSUKIJkjGKRJCNHrju8fRKjKQbnW4+sx+IBXcbvy7d6+3uoQQTYu0FAkhGj31WD6td62jbPmyWj9GHxqCs6io/ooSQjQ5EoqEEI2ezs8PQ3QUir7285r5deqEfc8euWJNCFFrEoqEEI2e3mrFXXL6ZLDnYoyOxhAZReW2bfVUlRCiqZFQJITwDYpS54cYIsJxHjtWD8UIIZoiCUVCiCbLv1s3Knftxm2v/VVrF8Nx9CiV+/Y1yL6EEN4noUgI4RsUz9tVXS6z14eEYG7ThopNm+qrqhrcpaXY9+6jbO26BtmfEMK7JBQJIXyCKSEeRa+n6vDhOj1OFxSEq7S0nqqqydy6NYbwMBS9jrLffmuQfQohvEdCkRDCJxgTE1HdKo7MrFo/pnLXLlwFx6hKTcVZWFiP1Z0UOHAgzsJCjEnJlCxd2iD7FEJ4hwzeKITwCYpeD6obOHuHa1dpGfZ9+3DZilEUBcVoxF1eQdCIEZQuXUZAr56YkpLqv1aDwdOyZTRSsmQJluHD632fQoiLJ6FICNEkVB05QuWu3QQOHIDeaq1eHjjQ89uvXTtsCxaA242pRYsGqckY7ZmzrWTxEiwjJBgJ0djJ6TMhhI8582CMhfM+xTrmshqB6PcsI0dS8PHH9X812imdwY3RUfh17kzp8uX1u08hxEWTUCSE8DFnPn0WOHAgjqxz9zdS9HqiHn6Yoi+/pHzjRq9X5iopwfbLAgwRETWWG6OjMLVqTdnq1V7fpxDCeyQUCSGahKDBg6jcs/e86+lMJsJuvBGAci9dqq+qKmVr11GxbRuWS0efcRJaU0I8huiYegljQgjvkFAkhPAZeosFd2UFrtKyM96v6HW1nussoFcvjHFx2BYsoHLv+cOUqqo4juZSubfm4IyOnBxKflmAuV1bggYNQjnHyNvmVi3RBVmokKlHhGiUFLWZzJZos9kIDg6muLgY6zn6HAghGi+1qoriH37E1CKZgB49Tru/KiMD1W7H3Lp1nbZblZFJxZYt4HJiGT0aXUAABR98gKllS1BVUBQqd+7EXVpK8IQJqA4Hzrw8UFV0VusZazmXih07UfQ6/Dp2rNPjhGiOGvLzW64+E0L4DMVkwhARftbJYY3x8ZStXFnnUGRKiMeUEI/bbqdi61ZUux3LZWOqrx4D8OvUicqdO3HkHMXctu1FBRr/Lp0p37wZ+4EDmNu0ueDtCCG8S0KREKLJONepq9rQmc0E9u17xvsM4eEEDR16Uds/VUCPHpStW4dy+DCm5GSvbVcIceGkT5EQwvdcZPhpLAL79sWRmUlVerrWpQghkFAkhPAxqsOJLjCwweYzq2+BAwdSdeQIVRkZWpciRLMnp8+EED7Fr3MnHOnpVG7bRuDAgTXuq0pPx/bjTwQNGaJRdRcmaNAgSletAsCUkICqqpSvX496xkEmFUCt7gB+gvPYMSzDhqEPCWmQmoVoiiQUCSF8ijE6msrt2z3zmlVUoPP3P3lfbCzWyy9HdTpRDL719hY0aJCn8/WePahVVQQMGIAhNLTWj1ddLkqXLcPUogXmVq3qsVIhmi45fSaE8DmmVq3QR0RQ+rtZ6BWDAWN8HFVHjmhT2EUK6NGDoJEjCejTp06BCDyjdVtGjMBdXkHl7t31VKEQTZuEIiGEzzG3aoVaWYk+JITSlatOu68q7bBGlV08RVEwREZe8OP9u3TGkZmJ6nB4sSohmgcJRUIInxTQqxeK2Q+1sqK6P84JeqsFR06ORpVpL2joUGw//4LqdmtdihA+RUKREMJnBfTsgSEyEtVux/bzz9XTf6hOJ/pmPHK9YjJhGTEc208/UXXkSK2nPhGiuZNpPoQQPs9+8CD2fZ45yfTBwagOB4EDB/pcZ+v6YE9NxZGV5bmheq5a80tJwV1cjM5iQR8WdtGDXgpRn2SaDyGEqANzq1aYWrakfPVqnMcKMISFSiA6zty6dY1pT1Snk8pdu9AHB+PIyaF87Vr8e/bEGBOjYZVCNA7yriGEaBIURSFw4EDcVVWU/vqr1uU0WorBgH9KSvVt/86dKf7hB4IuuQR9UJCGlQmhPelTJIRoUkqXLcP0u0lWVVWl6sgRSlespHLfPlSnU6PqGifr2LGULV+Ou6xM61KE0JS0FAkhmhRFUfBr1w5XcTHlGzagmEwAGBMSCBw0EOfRo5StXQsuF65iG8FXXqFxxdpTdDosY8Zg++EHrOPGoejk+7JoniQUCSGaFOexAmw//YTi50dg//6oqorqcKCWl1OxeTPu8vLqdc2tZeTnExSdDsuIEZQuXoxl1CityxFCExKKhBBNit4ShD4kBNXppGL7dhSTCcVoQhfgj1+HDugCA7UusdHSBQZiTEqifNMmAnr21LocIRqchCIhRJOi+PsTOGCA1mX4LL927XDk5GD78Uf8e/XGGB2ldUlCNBg5cSyEaDJUl0vrEpoEY0wMppYtqdy5Q+tShGhQEoqEEE1G2W+/EdCnr9ZlNAmO7GwsI0ZoXYYQDUpCkRDC56luN6WrVqEPC0MfJH2GvMGYkEBVWprWZQjRoCQUCSF8mqqqFH/1Ff7duuHfubPW5TQZfu3aYU9NxVVUpHUpQjQYCUVCCJ+mKAqKySyjMdeDoBEjqNyzh5JFi6on2xWiKZOrz4QQPq1iyxZMLVpoXUaTpCiKZ6wnt5uylSvRh4TUmCJEiKZGWoqEED7LkZWFu6oK/65dtC6lSVN0OoKGDsUQEUHBRx/VGABTiKZEWoqEED7nxBQe+tAwAvvK1WYNxRgXR+i111KxdSuO3Fwsw4bJYJiiSZFQJIRo9OwHDuDIzga3GwBdUBBBI0agKIrGlTU/islEQJ8+qG43hZ98gmXUKIzR0VqXJYRXXNTps+effx5FUbj//vurl7399tsMGzYMq9WKoigU1fHKhTNtE2DYsGGeDpWn/Nx1110XU74QwgccffElcp55lsBBgwi65BKCLrmEgF69JBBpTNHpsIwaTeWOHZSvX4+qqlqXJMRFu+CWovXr1zNr1ixSftfprry8nDFjxjBmzBimT5/ulW2ecMcdd/D0009X3w4ICKh74UIIn+EuLyf4yisInjBeZm5vhIzRURijR+IqKqJ00SLM7dtjSkzUuiwhLtgFvcuUlpYyadIkZs+eTWhoaI377r//fh599FH69+/vtW2eEBAQQExMTPWP1Wq9kPKFED6gfMMGij7/HMfRo5hbttS6HHEO+pAQ/Lt3x11SonUpQlyUCwpF9957L+PGjWPUqFFeK6Q22/zoo4+IiIigS5cuTJ8+nfJzXAFht9ux2Ww1foQQjU/Fzp2ULFpE8XffU7pyFarTScmiRShGI2G33IJl2DAUo1HrMsV5OAsK0IeFaV2GEBelzqfP5s2bx6ZNm1i/fr3XiqjNNm+88UaSk5OJi4tj27ZtTJs2jb179zJ//vwzrj9jxgyeeuopr9UohLg47vJyFH//6r5A9oMHqUo7jCkxAcvIkQBUHTlC6fIVBA4ejM5s1rLcZkVVVRwZGeiDg9FfYAu8q6BQxosSPq9OoSg9PZ2pU6eycOFC/Pz8vFJAbbd55513Vv/dtWtXYmNjGTlyJKmpqbRu3fq09adPn86DDz5Yfdtms5Eo57qFaBCq203lzp04jx1D0XveZhSDHldJCTp/f3C7MURFYRkxvMbjTElJmJKStCi5WXMVFVG5Zw8Auur34d93ZD9XR2oFZ14egf371Ud5QjSYOoWijRs3kpubS8+ePauXuVwuli9fzmuvvYbdbkev19epgAvdZr9+nv98Bw4cOGMoMpvNmOWbphANrnTFSkDF3L49/l27al2OqAV3SQnmNm2k75Zo9uoUikaOHMn27dtrLJsyZQodOnRg2rRpdQ5EF7PNLVu2ABAbG1vnfQoh6ofjaK6n062MMO1Tqo6kEzigbhfHCNEU1SkUWSwWunSp+WYXGBhIeHh49fKcnBxycnI4cOAAANu3b8disZCUlETY8U54I0eOZOLEidx333212mZqaioff/wxl19+OeHh4Wzbto0HHniAoUOHnvXyfSFEw6vcsZ2gESO0LkPUlepGuYAvtUI0NV4f+OOtt96iR48e3HHHHQAMHTqUHj168O2331avk5qaSn5+fq23aTKZ+PXXX7n00kvp0KEDDz30ENdccw3fffedt8sXQlwA1e2mdNUqjHFxmg6qWJvBY/ft28f48eOJiIjAarUyePBglixZUn3/3LlzTxso9sRPbm7uadtbtWoVBoOB7t271+MzE0I0BEVtJsOQ2mw2goODKS4ulvGNhPCiii1bcObnE9B/APogbefBmjlzJpWVlYDnYovCwkJCQkJqrNOuXTvatm3LjBkz8Pf3Z+bMmcydO5fU1FRiYmKoqKiguLi4xmNuvfVWKisrWbp0aY3lRUVF9OrVizZt2nD06NHq0/q+xvbzL1jHXKZ1GUKcUUN+fksoEkLUiiM3l/L161H0es8koKqK6nbj17ETxuioBqlh2LBhpKSk4OfnxzvvvIPJZOKuu+7iySefrLHe0qVLGT58+GmhKD8/n8jISJYvX86QIUMAKCkpwWq1snDhwjOOk5aXl0d8fDzvvvsukydPrnHf9ddfT9u2bdHr9Xz99dc+G4oq9+3DVVQkk+uKRqkhP79lQlghxDmVrloFTie6wECCx43Tuhzef/99HnzwQdauXcvq1au59dZbGTRoEKNHjz7vY8PDw2nfvj0ffPABPXv2xGw2M2vWLKKioujVq9cZH/PBBx8QEBDAH/7whxrL58yZw8GDB/nwww955plnvPLctOLXrh1V6emULl9O0NChWpcjhGYkFAkhzshdVUXp4sX49+yJMaphWoJqIyUlhSeeeAKAtm3b8tprr7Fo0aJahSJFUfj111+ZMGECFosFnU5HVFQUP//881mnF3r33Xe58cYb8ff3r162f/9+Hn30UVasWIHB0DTeRk2Jiej8/LD9sgDLpaNlwl3RLMkMi0KI09hTUylbvhzLyJGNKhABp11xGhsbe8YO0Geiqir33nsvUVFRrFixgnXr1jFhwgSuvPJKsrOzT1t/9erV7N69m9tuu616mcvl4sYbb+Spp56iXbt2F/dkGhlDZCSBAwdg++FHVKdT63KEaHBN4yuOEI2Eu7ycsrVrUQwGUFWMCQmYWrb0mW/dqqpSunQpxrg4LF6c29CbjL+bB01RFNxud60eu3jxYr7//nsKCwur+ya88cYbLFy4kPfff59HH320xvrvvPMO3bt3r3FqraSkhA0bNrB582buu+8+ANxuN6qqYjAYWLBgASN8eFgCvcWCZfQobD/+iOXSS08Z4VqIpk9CkRBeVLpsGZbLLkPR6TzzSWVmUrZyJarLhWI0EtCjB7qAAK3LPI27ooKKLVtwV1QQ0Lcv+qAgrUuqFycmkdbpajaS63S604JVaWkpn332GTNmzKix3Gq1njbg7BtvvMHixYv54osvaNkERoXWmc1Yx42jdMkSdBYrAX16o+jkxIJo+iQUCeElJUuX4t+9e/WHh6IomBISMCUkAOC226nYshW1sgIAXUAAfl271vs3cVdpKbrAwOrWqpJFi1BMZlDdqC4XqCq6wCD8u3VrlIGtLs43eOyAAQMIDQ3llltu4Z///Cf+/v7Mnj2bQ4cOMe53ncg//fRTnE4nN910U43lOp3utAFno6Ki8PPzO225L1P0eiyjRuEsLKR87VoCBwzQuiQh6p2EIiEukqqqlCxcSECPHhgiI8+6ns5sJrDfyUueXaVlVGzZgmq3w/HAYkpOxpiUdNbTbfbUVOwHD6IzmaofA5zytwJuF0GXXEJVRgZFX3yBuVUrFKMRd6UdvdWCMS4Ov44dL/p5N0ZvvfUWTz31VPXtocevpJozZw633norERER/Pzzzzz22GOMGDECh8NB586d+eabb+jWrVuNbb377rtcffXVp41z1NwYQkOplP5FopmQcYqEuAiqw4Ht518IGj7sok85qW43VYcP48jIgBP/LRXFc+pNUVBdbkwtkjG3anXO7ZRv2IC7ogJ3WRkB/fphOOWqKtXtltMgos5KV6wg6Pi4TkI0NBmnSIhGzJ6aiiMrC/CEIutll6KYTBe9XUWnw9yyZY2ZylVVrXMn7YDevc+5DyHqwrZwIX5N7Co7Ic5GQpEQtaS6XJQuW4YxPr7BvjX7ylVromkq37ABHA6MSUlalyJEg5BQJEQtODIzqdi+g6BLhqI7ZRA/IZoyV1ER5vbtJZyLZkNCkRDnoKoqZStXobcEyYSZotmxjBpF+ebNlK5YAW43OouFgJ49tS5LiHojoUiIs1CdToq//x7LiBHopXO+aKYCevSo/rtk0SINKxGi/kmvSyHOonLXLkyJiRKIhDhO8fOjbM1arcsQot5IS5EQZ6MoKHq91lUI0WgEDRqE89gxSlesxJmbi+WyS5vs6OeieZKWIiHOwr5vP2ot59QSorkwhIcTNGQwwRMnULpkiWdUdCGaCAlFollzHjtWI/ioTie2n3+hbM0aQJVOpUKchaLTYRkxgpKFC3EcPap1OUJ4hYxoLZq8yn37cKSnnzLAogKogEJV+hGMUVEoZrPnLlUloG9fz3xgcum9ELVyYhR1z/+tE079aDm+3O3C1KoVpsTEBqxO+DoZ0VoIL6ncvZuqtDSsY8dqXYoQTda5RlE/lep2U/bbaglFotGS02eiyVKrqtCHhKA6pc+DEI2BotOdnNdPiEZIWopEk6C6XLhsNip37sKRlYkhLAwUBUN4ONZxl2tdnhBNnruiAkdGBi6bDdVuB0XBv1s3dAEBWpcmRK1JKBI+rWTxEhSjEXQK+uAQ/Dp3IqBPb3Qn+ggJIbxKdbmo3LUbV2EBKAon+gspZhOmxESMcXGePnpuN6UrVmBu3x5TQoK2RQtRSxKKhE+q3LsPR1YmuF0EDRmudTlCNGlVGRlUpaZ6buh0+HXqhH/XLud9nGXkSE8nbJsNv06dji+V02ei8ZJQJHyObcECnHl5mJKSwWCkdMXKU+498YZ7pgksL/S+5uDU53+eDy1VPd5CcJKr2EbwFePqpTLR8FwlJVRs2wZOJwDG+HgChw69oIlhA3r3pnLfPkpXrCBw8GBvlyqEV0koEj7HeumlWpcgfqd0xUpUVZXZ1BsZ+6FDODIyTllyaug98W91+qXzusAAAvr0QVc9jMXF8WvXDmdkJCU//4xaVeWVbQpRHyQUCSEummI2odrtKH5+WpciTuHIyCRoyBCtywDAEBqKdexY3BKKRCMml+QLIS6a3mrFZbNpXYY4jUpjG5/XW61PQtQHCUVCiIumt1hwl5ZqXYb4HV1QkPy7CFEHEoqEEBdNZ7XilpaiRscQGYkzP1/rMoTwGRKKhBAXTRcYiKu0TOsyxO8YwsNxSSgSotYkFAkhLppM39A46fz9cVfatS5DCJ8hoUgIIZo0CatC1JaEIiGEEEIIJBQJIYQQQgASioQQQgghABnRWgghmiRXcTEV23fgLivXuhQhfIaEIiGEaAJUh8MTgko840XprFYC+/VFMRo1rkwI3yGhSAghfJCqqlQdOoQjPd2zwGDAv0sX9MHB2hYmhA+TUCSEED7CWVBA5c6d4HYDYGrViqBLLtG4KiGaDglFQgjRSLntdiq3bcNd7ukXpA8LI3DgQBS9XuPKhGiaJBQJIUQjoaoq9r17cR49CoBiNuPXpSv6oECNKxOieZBQJITwCsWgR3U6UQzytlIXjqO52Pfu8UyToiiY27bFr0MHrcsSolmSdy8hhFfogiy4SkowhIZqXUqjpDoclK1Zi+qo8lwRdrxfkCEqisDBgz3zxwkhNCWhSAjhFXqrBXdJCUgoqsFdVkbZ2nWgUwjs3x+dn5/WJQkhzkJCkRDCKwwREZSuWEnV4SPHl5xtIlKlFls79bHK75adclvRoeh1KEYjitmMYjKhmEzojv+NXo+iKKDTgU7vWVevB70edDrPffXEeewYFVu2oPP3J2joEDmtKIQPkP+lQgiv0AUGYh1zWYPuU3W7weVCdTpR7Xbc9ipURxXuigrUoiJUtwrq8XXcbnC7UZ0uVJcT3PU4e7zqRhdkIWjEiHoNXkII75JQJITwWYpO52nxMRrB3x+5UF0IcTGkZ58QQgghBBKKhBBCCCEACUVCCCGEEICEIiGEEEIIQEKREEIIIQQgoUgIIYQQApBQJIQQQggBSCgSQgghhAAkFAkhhBBCABKKhBBCCCEACUVCCCGEEICEIiGEEEIIQEKREEIIIQQgoUgIIYQQAgCD1gU0FFVVAbDZbBpXIoQQQojaOvG5feJzvD41m1BUUlICQGJiosaVCCGEEKKuSkpKCA4Ortd9KGpDRK9GwO12k5WVhcViQVGUet+fzWYjMTGR9PR0rFZrve+vuZPj3bDkeDccOdYNS453w6rN8VZVlZKSEuLi4tDp6rfXT7NpKdLpdCQkJDT4fq1Wq/zHakByvBuWHO+GI8e6YcnxbljnO9713UJ0gnS0FkIIIYRAQpEQQgghBCChqN6YzWaeeOIJzGaz1qU0C3K8G5Yc74Yjx7phyfFuWI3teDebjtZCCCGEEOciLUVCCCGEEEgoEkIIIYQAJBQJIYQQQgASioQQQgghAAlFtbZv3z7Gjx9PREQEVquVwYMHs2TJkur7t27dyg033EBiYiL+/v507NiR//u//zvvdjdt2sTo0aMJCQkhPDycO++8k9LS0hrrKIpy2s+8efO8/hwbEy2P95EjRxg3bhwBAQFERUXxyCOP4HQ6vf4cG5P6Ot7n2y40v9e3lsdaXtveOd5Lly494+tWURTWr18PQFpa2hnvX7NmTb0+X61pdbwBtm3bxpAhQ/Dz8yMxMZEXX3yx7k9AFbXStm1b9fLLL1e3bt2q7tu3T73nnnvUgIAANTs7W1VVVX333XfVv/71r+rSpUvV1NRU9X//+5/q7++vvvrqq2fdZmZmphoaGqredddd6p49e9R169apAwcOVK+55poa6wHqnDlz1Ozs7OqfioqKen2+WtPqeDudTrVLly7qqFGj1M2bN6s//vijGhERoU6fPr3en7OW6uN412a7qtr8Xt9aHWt5bXvveNvt9hqv1+zsbPX2229XW7ZsqbrdblVVVfXQoUMqoP7666811quqqmqQ560VrY53cXGxGh0drU6aNEndsWOH+sknn6j+/v7qrFmz6lS/hKJayMvLUwF1+fLl1ctsNpsKqAsXLjzr4+655x51+PDhZ71/1qxZalRUlOpyuaqXbdu2TQXU/fv3Vy8D1K+++urinoQP0fJ4//jjj6pOp1NzcnKq13nzzTdVq9Wq2u32i3lajVZ9He/abrc5vb61PNby2vbwxvH+vaqqKjUyMlJ9+umnq5edCEWbN2++oNp9kZbH+4033lBDQ0NrvJanTZumtm/fvk7PQU6f1UJ4eDjt27fngw8+oKysDKfTyaxZs4iKiqJXr15nfVxxcTFhYWFnvd9ut2MymWpMcOfv7w/AypUra6x77733EhERQd++fXnvvfdQm/DwUloe79WrV9O1a1eio6Or17nsssuw2Wzs3LnzYp9ao1Rfx7su220ur28tj7W8tr13vH/v22+/5dixY0yZMuW0+6666iqioqIYPHgw33777QU9D1+h5fFevXo1Q4cOxWQyVS+77LLL2Lt3L4WFhbV/EnWKUM1Yenq62qtXL1VRFFWv16uxsbHqpk2bzrr+qlWrVIPBoP7yyy9nXWfHjh2qwWBQX3zxRdVut6sFBQXqNddcowLqc889V73e008/ra5cuVLdtGmT+vzzz6tms1n9v//7P68+v8ZGq+N9xx13qJdeemmNx5WVlamA+uOPP3rnyTVC9XG8a7vd5vb61upYy2vbu8f7VGPHjlXHjh1bY1leXp7673//W12zZo26bt06ddq0aaqiKOo333xzwc/FF2h1vEePHq3eeeedNZbt3LlTBdRdu3bVetvNOhRNmzZNBc75s3v3btXtdqtXXXWVOnbsWHXlypXqxo0b1bvvvluNj49Xs7KyTtvu9u3b1YiICPVf//rXeWv46KOP1OjoaFWv16smk0l9+OGH1ejoaPX5558/62Mef/xxNSEh4aKeuxZ84Xg3pQ8OrY93Xbd7gi++vn3hWMtr27vvJSekp6erOp1O/eKLL8677uTJk9XBgwfX6bk2Br5wvCUUeUFubq66e/fuc/7Y7Xb1119/VXU6nVpcXFzj8W3atFFnzJhRY9nOnTvVqKgo9e9//3udasnJyVFLSkrU0tJSVafTqZ999tlZ1/3+++9VQK2srKzTPrTmC8f78ccfV7t161Zj3YMHD6rAOb/tNEZaH++6bPdUvvj69oVjLa/tk7z5XvL000+rkZGRtepA/dprr6kxMTF12n5j4AvHe/Lkyer48eNrLFu8eLEKqAUFBbXevqH2J9qansjISCIjI8+7Xnl5OUCNvignbrvd7urbO3fuZMSIEdxyyy08++yzdarlxHn+9957Dz8/P0aPHn3Wdbds2UJoaGijmUCvtnzheA8YMIBnn32W3NxcoqKiAFi4cCFWq5VOnTrVaR9a0/p413a7v+eLr29fONby2j7JW+8lqqoyZ84cbr75ZoxG43nX37JlC7GxsbXefmPhC8d7wIABPPbYYzgcjur7Fi5cSPv27QkNDa31Ppp1S1Ft5eXlqeHh4erVV1+tbtmyRd27d6/68MMPq0ajUd2yZYuqqp5mwMjISPWmm26qcdlgbm5u9XbWrl2rtm/fXs3IyKhe9uqrr6obN25U9+7dq7722muqv79/jf4U3377rTp79mx1+/bt6v79+9U33nhDDQgIUP/5z3823AFoYFoe7xOXLV966aXqli1b1J9//lmNjIxs0pct19fxrs12m9vrW8tjLa9t776XqKqnhY7jp45+b+7cuerHH39c3ZLy7LPPqjqdTn3vvffq90lrSMvjXVRUpEZHR6uTJ09Wd+zYoc6bN08NCAiQS/Lry/r169VLL71UDQsLUy0Wi9q/f/8a5+GfeOKJM55nTU5Orl5nyZIlKqAeOnSoetnkyZPVsLAw1WQyqSkpKeoHH3xQY78//fST2r17dzUoKEgNDAxUu3Xrpr711ls1LitvirQ63qqqqmlpaerYsWNVf39/NSIiQn3ooYdUh8NRn09Xc/V1vM+33eb4+tbqWKuqvLa9ebxVVVVvuOEGdeDAgWfc79y5c9WOHTuqAQEBqtVqVfv27at+/vnn9fEUGxWtjreqqurWrVvVwYMHq2azWY2Pjz9n39yzUVS1iV77KoQQQghRBzJOkRBCCCEEEoqEEEIIIQAJRUIIIYQQgIQiIYQQQghAQpEQQgghBCChSAghhBACkFAkhBBCCAFIKBJCCCGEACQUCSGEEEIAEoqEEEIIIQAJRUIIIYQQgIQiIYQQQggA/h9BNIKhk3ibtgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    if len(set(borderUnits).intersection(unitNbrs[u])) < 2:\n",
    "        print(\"uh oh, we have a border unit with <2 border neighbors\")\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        for uu in unitNbrs[u]:\n",
    "            plotPoly(unitGeom[uu],0.2)\n",
    "            plotCenter(\"n\"+str(uu), unitGeom[uu])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c037efb1-bd52-4d68-bdd2-82204ff29dd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for c in [21,61]:\n",
    "    for u in set(borderUnits).intersection(set(countyUnitList[c])):\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(\"b\",unitGeom[u])\n",
    "        if u in [4922,1845]:\n",
    "            plotCenter(u,unitGeom[u])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "1e50f265-cb32-4319-bf59-541e96261050",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fine, we will create this over-water connection\n"
     ]
    }
   ],
   "source": [
    "print(\"fine, we will create this over-water connection\")\n",
    "unitNbrs[1845].append(4922)\n",
    "unitNbrs[4922].append(1845)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 273\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    if len(set(borderUnits).intersection(unitNbrs[u])) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plt.show()\n",
    "\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.3)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.3)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 to continue\")\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"12Jul24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"VRAunitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0\n",
    "nHDs = nTracts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "89eb05dc-cb93-4264-ac61-9c07fa7d198e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "In the next few blocks, we define two VRA cores that stay together (in Cincy and Cleve). Each core is included\n",
      "in all HDs inside a defined envelope, and excluded outside this envelope\n",
      "To determine current minority fractions of these unit-based lists, we must establish unit --> VTD conversn\n",
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "Now, we compute compute minority and total VAP of each unit\n"
     ]
    }
   ],
   "source": [
    "#FOR THE VRA-modified code, below blocks updated from VRA-HD-MO\n",
    "print(\"In the next few blocks, we define two VRA cores that stay together (in Cincy and Cleve). Each core is included\")\n",
    "print(\"in all HDs inside a defined envelope, and excluded outside this envelope\")\n",
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"To determine current minority fractions of these unit-based lists, we must establish unit --> VTD conversn\")\n",
    "noFrag = 0 #int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "\n",
    "print(\"Now, we compute compute minority and total VAP of each unit\")                        \n",
    "unitVAP, unitWhiteVAP = [0.]*nUnits, [0.]*nUnits\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        unitVAP[u]      += tractVAP[v]\n",
    "        unitWhiteVAP[u] += tractWhiteVAP[v]\n",
    "    for i, v in enumerate(unitPartialVTDlist[u]):\n",
    "        unitVAP[u]      += unitVTDfrac[u][i]* tractVAP[v]\n",
    "        unitWhiteVAP[u] += unitVTDfrac[u][i]* tractWhiteVAP[v]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9c981e7-10f2-43d8-8d3b-1e985800ecf6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "016fa405-c829-4bee-8f6b-9e9885b89255",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now read in a shapefile of Cleveland to be kept whole\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#from https://data.clevelandohio.gov/search?q=city%20boundary\n",
    "CITY = \"Cleveland\"\n",
    "print(\"we will now read in a shapefile of \"+CITY+\" to be kept whole\")\n",
    "cityDF = gpd.read_file(\"./state_map_files/\"+CITY+\".dbf\")\n",
    "cityBoundary = cityDF[\"geometry\"]\n",
    "cityBoundary = cityBoundary.to_crs(tractGeom.crs)[0]\n",
    "plotPoly(cityBoundary)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "cc8560f0-961f-4778-915b-f9acddaa91bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "nVRAs = 2\n",
    "for i in range(nVRAs):\n",
    "    coreVgroups[i] = list()\n",
    "    coreVgroupPop[i] = 0.\n",
    "\n",
    "VRAvtdList = [list() for t in range(nHDs)]  #zero this out ONCE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "9ccdaa30-d62a-4ef4-adcd-19534d599fdb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now draw a polygon that expands the VRA core to a smoother shape for VRA number 0\n",
      "pop/aDP of high minority within, outside city are 0.48715 0.13118\n",
      "city pop, pop/aDP are 368143.0 0.468\n",
      "VRAcore pop/aDP, pct minority are 0.7779 0.58508\n",
      "confirming, pop/aDP = 0.7779\n"
     ]
    },
    {
     "data": {
      "image/png": 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MUxPdfQOH5HP0bNyJ1zqPdxE0AGqVhK+Hlhfe/wJZlikpKeHpp58mKiqKffv2KRaYFStW4OnpiaenJ15eXqSmptKlSxfFHVVYWMimTZu499572bNnD7GxsXh5eZGZmUl5eTklJSWK5WfQoEFIkoRKpUKySJisjpga4X66vRCiRiAQCAQ3RF6pmbd+OcLAr7eRX1bBhAdDOe87j+SyPGZ1e5yZ/e5n+8VCzhUZqxyb8NtqejSPVATLsmXLWLRoESrVpcdSXFwcBw8e5ODBgyQmJhIeHs7+/fuZMGECsiwrLilZllm5ciV16tRhzZo1hIWF8eOPP7J582Z27NjB9OnTCQkJUQROZOdIyn93P4mGlrcXQtQIBAKB4LqosNqZufUMsZ9tYuXhdP49sBmfPuTDp6cno5Fg6R3j6FarGwCvdqjLdwfTqswRFxfH9CUJbN25h8TERCXe5fz588qYpKQkGjZsSMOGDenYsSOpqamYzWbGjRsHOFxS8+bNIyoqioCAAGbPno0sy4wcORJwFOo7ePAgTz75JC1btmTz5s0sXryYOm3rYLIJS83tiBA1AoFAILhmNiZlEz9pCx+vOsHgNuFs+lccDetepPcDw9h/32zWD55JpE+kktF04NBhyipsVeZxc/fAOySCpk0aKdlLZWVlzJgxw2WcMwMqIyODO+64A3CkfV/JwnP5cQcOHCA+Pp7i4mKGDBmCu8Ydk7UcjUpCqxaPwdsJESgsEAgEgquSklPKuBXH2ZiUQ5f6AXzzUDRNw7zZcGEDL296GQ+Njpa941g8bwEAmZmZDBo0iPbRbQH4EvD398fd3Z309HQAVq1Yjr+/Px06dGD8+PGoVCrKy11bIsiyDEBBQQHJycnKvoSEBFQqFVOmTKF///4kJiZSp04dZb8zcwogNDSUN998k5iYGHJycjBajKgxiCDh2xAhagQCgUBQI0XlFr5KSGbOjnOE+rjz7Yho+jUPRZIk1pxdwxtb3qBH7R4UhheSmHYW36AA3NVaQkNDadGiBWlpaRw5coT9pZCblcUHT41AUqmI7dmTiRMnkp2dzYgRI2jb1iF+vvjiC2bPnq2In/T0dMLCwvDy8kKr1RIUFISPjw8dOnRApVIxc+ZMfHx8lE7c1XG5m6qkogQVgaKa8G2IsLsJBAKBoAo2u8yC3ReI+2wTPyRe4OW+jVj/Sk/iW4QhSRLrzq3j9S2v0zuyN1/GfYlapaahpx8TTmwHHELizJkzGAwGmjVrxiOdWxDZpDltWrVEttvZuHEjrVu3pm/fvuTm5gIOQZORkUFCQgJt27ZFr9ejVqsxGAzY7Xby8/MpLi52cTc5M5oqW3igauZUZTeVyWYCWSviaW5D/pCoGT9+PJIkMWbMGGXb9OnTiY2NxdvbG0mSXOoMXImLFy8yYsQIAgIC8PDwoGXLluzdu1fZL8sy//73vwkLC8PDw4M+ffq4mCIFAoFAcHPYdSaPgV9v4+0lR4htHETLlPm80KshHm4aJEnCx8+HewfdS/OK5vyn53/QqBxG/zWrVvNB275IkoSXlxenTp3CbDYT2y+erzZuI76WJxkXzuOu1yuupZKSEho0aIDBYGD06NGEhobSpk0b3nzzTYxGI926dVMyoAYMGEBgYCD9+vVjz549nDhxwiVluzKXZ05VDkQ2aA2UW40i8+k25IZFzZ49e5g2bRqtWrVy2W40GomPj+ftt9++5rkKCgro1q0bWq2W1atXc/z4cT7//HP8/PyUMRMmTOCrr77i22+/Zffu3RgMBvr164fJZLrRSxAIBAJBJdIKjDw/fz8PTN+Fm0bFL8915YuhbfDQqpXA21/2/ULoq6H4G/zZ/MFm1KpLwiAuLo67Bg2iTeeOjPluInXr1sVqtbJtQwKje/dQas1UmMx4e3u71J9p3769Yn1xuou8vLzw9fUlKiqKqKgoAgMDuXjxIrm5uXTs2JFOnTqxZ88eFi9eTGxsrMu1GAwG5bjLA5G93Lww2UqFpeY25IZETWlpKcOHD2fGjBkuwgNgzJgxvPnmm3Tu3Pma5/v000+JiIhg1qxZdOzYkXr16nHHHXfQoEEDwGGlmThxIu+++y6DBw+mVatWfP/996Snp/Prr7/eyCUIBAKB4HeMFVa++C2J3p9vZs+5fD6/vzVLnu1KdOSlv+86nY4ztjOMOzaOfl37MfWjqWSkZZCTk6OMMRgMeHt7UyckjE5x3QiNboNKrWbwXXeBLLN27VrCw8NRqVWsXLnSpf7M5s2bMRgMLu6inj17IkmSMv/s2bOx2Wx4eXnxyiuvUFxcTGJioku7hJqo7KbydvPGbC8TgcK3ITckap5//nkGDBhAnz59bsoili1bRvv27bn//vsJDg6mbdu2Lml9Z8+eJTMz0+V8Pj4+dOrUiZ07d1Y7p9lspri42OUlEAgEgkvIsszSgxfp/flmvt18hse712PDa7EMaVcblUpyGVtgKuCljS/RObwz77d7n6U/LqV23dq89tprSJLEnDlzWLp0KQsXLmTb9m2UnjpIQ08vVJLEmTNnCK9Xn06xcXTs0hW73c66desUK0q3bt1QqVSMHDnSxV20fv16CgsLyczMJDMz84rupsvZs2eP0g9KkiT0ej0lJSU0a9YMD40HFrtJ9H26DbnuO7pw4UL279/Pnj17btoizpw5w9SpU3nllVd4++232bNnDy+99BJubm6MHDmSzMxMAEJCQlyOCwkJUfZdzieffMLYsWNv2hoFAoHgduJwWiFjlx9n3/kC4puH8vadTYkM0Fc7Nrc8ly3rtqDZrOGk+iRTyqYQ6qXn5c6hHLfbiI+Px9vbm5ycHMpsZSRuSeSp/k8BDuF0+PBhAHx1bmjd3LDb7Vy4cMHlHCqVCg8PD6KiogBHLZp58+axefNmwsLCANBoNFitVsDh6nKmg0+YMKFKKIQzbRwcFqS6deui0+kYO3Yso34YhU2246ETlprbjeuy1KSmpjJ69Gjmz5+Pu7v7TVuE3W4nOjqajz/+mLZt2/LUU0/x5JNP8u23397wnG+99RZFRUXKKzU19aatVyAQCG5VsktM/GvxIQZ/s51Sk5UFT3Ti24fb1Sho9mftZ1fGLsJbh3PwgCPwdsP/PUdnSctHm89TUpiPTqdD565j48aNJG5JBBxixtvbG29vb0JDQ/H392fRokWEh4WBLLN69WrF+rJ7926sVquL9UWSJDw8PHjllVeUlgjDhw93KaqXkJCARqNh4MCBLmuePXs2I0eOZPDgwciyTGlpKUePHmXSpEmkpqZiKbZgky3oRaDwbcd1iZp9+/aRnZ1NdHQ0Go0GjUbD5s2b+eqrr9BoNNhsVatGXgthYWE0a9bMZVvTpk0VJe8soJSVleUyJisry6Uja2V0Op3yD8r5EggEgv9VzFYb325Ooddnm1l3IosPBrdg5Uvd6RoVWOMxh3IO8VzCc/jp/IiOiKZ5k+aE7l9D2E8JfBgWgtlmJznlLGabmRFjR2CxWXjooYeoW7cuUVFRDB48mOLiYjIzM8nPz+fhhx+mtLQUgNzcXMLCwujUqRO5ubm0adOGJk2aXNXN5CyqVzlLKjU11SW2pzoq16rx9ffFToWIqbkNuS73U+/evTly5IjLtkcffZQmTZrwxhtvoFbf2C9It27dSEpKctl26tQppTpkvXr1CA0NJSEhgTZt2gBQXFzM7t27efbZZ2/onAKBQPC/gCzLrD+RzbiVx0krKOfhznUY06chvnq3Kx53MPsgz6x7hsb+jbGF2SgtLqV00dekffAN+vpeeA+4E9WL4zibmsqREydZs2KNcqwkSfzwww8MGzYMSZIoKChg48aNPPnkk4wdO5bXXnuNhIQEkpKSUKlUjBo1ijlz5ihuJi8vL5o0aVJtVlNlLi+qdznOWjUAZWVlhIWFsWLFClZVrEK2a4SouR2R/yA9e/aUR48erbzPyMiQDxw4IM+YMUMG5C1btsgHDhyQ8/LylDG9evWSv/76a+V9YmKirNFo5I8++khOTk6W58+fL+v1ennevHnKmPHjx8u+vr7y0qVL5cOHD8uDBw+W69WrJ5eXl1/TOouKimRALioq+qOXLBAIBLcESZnF8oiZu+Q6b6yQR8zcJZ/KLL6m4/Zk7JHbfd9OHvjLQDm5IFkeOXKk3KdVY3lzgwZyYkxz+eienfITvTrLEsjBwQFyQECAvGPHDnnHjh1y9+7dZZ1OJ6tUKjkxMVG+++67ZUmSZEB2d3eXATksLEzet2/fdV/PyJEjZbVaLRsMBtlgMFSZa+TIkTKgvLRarRwTEyMvX75cTkxMlEeNGiUHBwfLzy9+Xm45bZA8af2p616D4K/nep7fN13UvPfeey6/VM7XrFmzlDF16tSR33vvPZd5li9fLrdo0ULW6XRykyZN5OnTp7vst9vt8v/93//JISEhsk6nk3v37i0nJSVd8zqFqBEIBP8rFJSZ5feWHpXrv7VS7jlhg7zuWKZst9uv6djtF7fLbb9vK49YNUIuqyiTt6Vtk4f06+7y99zLy0uOrldbnhgeLtevEymHhoYqx18uLDQajezt7S1//fXXcnJysou4OHfu3HVd18iRI+U+ffrIycnJ1c41cuRIOT4+Xs7IyJCHDh0qx8bGygMGDJAjIiJkWZZlq9UqGwwGucvDXeTmU++SZ2xJua7zC/4eruf5Lcny793CbnOKi4vx8fGhqKhIxNcIBILbEqvNzg+JF/h83SmsNpkXe0UxqltddBpXN4vT3ePEmUU09JWhfJ35NdEh0XzT+xvcNe5UHN7Okn8/QaRFQ8c5a1EHhgNQ8v0E0j6exUBTGUazhYyMDMDhEnr11VeZMWMGY8aMIT8/n8LCQpeaYjabDR8fH+rXr+8S0nClbCbnumuaa8yYMaSlpSn7nWNfe+01YmJiyM7OJiAgAF9fX1oMaEFhrDdvt57GiM51qpxH8M/iep7foveTQCAQ3AZsP53LgK+28e9lx7ijWQgbXuvJ0z0bVBE0Ti7PIsox5fDMg8/QJbwLU/tMxV3jjnn/Rs4/+gTtMyW0n37ESQouTVCpknBWVhYGgwGDwYCXlxfz5s1DlmXuuuuuas/tLIRns9muKZvpStTU+wkccTQjR44EIDg4GLVaTUlJCecPnceUViwqCt+GiMpDAoFAcAtzIc/IR6uOs/ZYFu3q+LH0+W60qu1bZdzl1hmtVku7du1c6rkAnPj4BCeDT9LYlMX5p15ErVcTOXchDRq05GD2QVJLUonwiuCZ6QtZkHRSOc5oNALg7u6OXq9Hq9VSr149wFEM1VlTrKCggMmTJ1NaWkpERISSzQSOTNc333yTmJgYcnJyCAoKqnIdNc01aNAgZs+erQQHm81mpaYNgKenJ1FRUQwfPpzpv8zg7DcH8BgqRM3thhA1AoFAcAtSarYyZeNpZm49S4CnG5MeaMNdrcNd2gpcTnx8PLNmzWL06NFkZ2dz+vRptG5a6n5YF8MmA3mHstEVZDHgjj4khPmj8dQQuXApmtqOljWlllKaBzR3TCZJdDcYCGpWnxKbzAeP3McH837m6Lk0jn79f9Qa9S+mT50CwJo1a6rNbFq+fLlL0+OrZTNdPpcTT09Pxo8fj06nIy4ujqlTpwIO0fPggw+SlpbG0aNHlYzaI+4nSH7xv5hLC4Cwy08huIUR7ieBQCC4hbDbZX7el0avzzbx3bazPBPbgIRXezK4Ta0rChq4VOPFw8ODrVu3cjH9IpYKC8lvJHNhy3HeCHJjRF4ZaVk5FKplIhcuUQSNzW6jwlaBVq0FQOXmgZskISedx37qHL5TFzI8q4i03AIOv/MVWKwUJCxj9uzZSvE8WZar9GtyWlYq93xatGiR0tyyMs65Ro4c6eK22rp1KxqNhvXr11dpZNm1a1esVqvSeqe0tJTDvx1GG+RBSDWWIMGtjRA1AoFAcIuw/0IB90zdwauLD9Ghnj8Jr/bklb6N0Ltdv9G9QdsGaPw1aHVadu7YQQ+1B+8cu8D0ikIitVpafvstmtoNlfG7M3bTOexSo2J1rXoYOkbjGdMJTcumyJ++w5rWTYgIC2F+xzYY7Xb6t2t+1XXExcVx8OBBl55P/fv35/z581c8rroifEajEbPZ7DJOkiRsNhuffvqpIpySdyRR68kWeLpfuVaP4NZDuJ8EAoHgH05mkYkJa07yy4GLNAvzZtFTnelUv3r3zJVwWkXKTeXYbXa0Oi02i40+fftgN5ZTLstszXI0/9V36KVkI3348YdYg63ota6tFFZt3o4kSVitVprf/bDjOL2e/SkXmFgrnG6RIVXWcDlOy4qTmTNn4uPjw4wZMxg3btw1XZfTbeXl5YUsyy4xN7t37wYcVp5OnTpRUFDAqHefIunrg+Tfmwa1fa7pHIJbAyFqBAKB4B+KyWLju21n+WbjaTy0aj65tyVD20egVtXsZqopXVun09Eztid1Hq3DT1/8RLgqHGuBldQLF5jVKgLPHDMDU87j5qbG3cOD335LQKvV8u677zJw0EDSUtOqnOvy+JUpU6awatUqFi9ejGlgP+TLrCbXwpWymSpzebVgDw8PysvLWbt2rRJzo1ar8fLyokOHDgwfPlw5tteYwZzYfIRffvienu0+ve41Cv65CPeTQCAQ/MOQZZnVRzLo88Vmvlx3ioc6RrLhtVge7Bh5RUHjpLo06fXr13Oq7BSH5cN0rteZeoH1aBXkjdVi4afjmfxSJxy7LNOqbTSmCgtLly5V3DrZ6dlkZWdVOc/l8SszZ86krKyMGTNmIKlBtlRcda3ObKar9Xy6nMvdVuHh4bi5uZGYmEhGRgYHDhwgPj4ei8VCeHi4y7E2WUaSwFpx/aJL8M9GiBqBQCD4B3Eio5gHZ+zi2fn7aRTixdqXe/DuwGb4eGiveY7L400effFRjEYjZeVl/Lfffwn3DGfNmjUs2XUAO7CkpIRDxRZiY2PJuJiByWjio48+QpIk+vTpg7uHO6fPnb7qeStbWSS1hK1SZlNNOLOZnM0t9+zZw+LFi5k9ezaSJCmvgIAA4uPjOXz4MFBVUHXr1g2bzcbSpUtd4mzKysooKSlxEU6bp6zCbrYx+K4rCyfBrYcQNQKBQPAPIL+sgneWHGHAV1vJLjEz69EO/HdUBxoEef6heXec3cEL/3kBtYeaVkGtCLYF88mHH9A38FJlVovdzunTpzl+/DipqakAaHUOEaX31NOsVTMeGfpIlbn37NnjIjz0ej0lJSU0a9YMjaeW/A3JV1zb1TKjrrcwnyRJituqcpzNhg0bXIRTzql0aj/VjL69e13fhyn4xyNiagQCgeBvxGKzM3fneSauP4UMvDOgGY90qYNWfePfOZ3xJjbZhsloUrZvXr/5UrwJoFWrsNjsgCMmxpkS3rJlS96e8jYFBQUkLExgw+oNFBQUVCmIV7lwn8FgoG7duuh0OsaOHcvg4T0xLdmLbDYh6dxv6DpqKsxnMpmqFOHbvXs3VquVKVOmMG3aNKUr96ZNm4iOjnaZd9TS99ibs/mqKfCCWw8hagQCgeBvYvOpHD5YfowzuWU82DGSV/s2IsBT94fnjY2NpcfoHsw7MQ/brzZM501UVFSwauVKSr58kw+WJ7LHbKLvnQP4delS5bj+/fuzZs0aatWqxZCuQzBajDzU4yECAwPx8/NzKYg3e/ZsgCq9mLZt20ZMTAxFfsEAyOWlNyxqKlO5MJ9Op6tS0M/NzY1WrVrx888/A5cCl/v3709iYqJSeA/AYrMiIaoJ344IUSMQCAR/MWdzyxi34jgJJ7PpWM+frx5sS/Pwm5NabLKZSDYmk52fzct3vMyu47soDCokISGB+U8M4+kKd/51X08GzlmFueJSIG9paSlnzpxBo9Gwbt06/Lz9AEdmkSRJ3HnnndUWxKuMU3g0iKiFvGwNKo0MmmuPBbqcyzOcwsLCWLFiBdHR0S4ZXnCp2eW1pIdbbFZUQtTclghRIxAIBH8RxSYLkzecZtb2swR7uTNleDT9W4TeNDfI7ozdbLqwCavFyqI7FtE5rDO72Y1ssyKZyylMK8Lr9btYfs6Ml5cX69atq5IW7efnR5MmTfj0008pKiriu+++46effmLlypWcP3/exeIB1QuPb7zcsBXbiJz8ESrPGxdr1aWMV2d5qYma0sMrbFZUkhA1tyMiUFggEAj+ZGx2mUV7LtDrs03M3Xmel3o1JOHVntzZMuymCBqb3caUg1N48rcnMSYbydubR5fwLkiSxIIFC1i+chWlVjuLSkuIeOsrli1bRs+ePatNi87JyWHr1q107dqVoUOHcv78eX788UcsFovSaqAyl8+h1+u599R5mhxJQh93X5WsJSejRo26YnYTXDllvDquNT3cZgeVJP/hz13wz0NYagQCgeBPZM+5fMYuP8bRi8Xc3SacN/o3IczH46bNn2PM4c2tb7IvYw9zJ1UwKNdESaX9dosFNeCl92DPocOKxWPhwoXExMS4uGuSkpJwd3enfv36JCUlXZrDbufxxx+vtiDe5RWBu3btytmUFIb7+vFEgD9lwVomV5QzcOBALly44HKss8EmQGZmpqPQXzXjnFytMF9NjTNjY2Ndxsl2HbLKVM0MglsdYakRCASCP4GLheW8+MMB7v92JypJ4udnuzDxgbY3VdCcLjjNgysf5GJWMj+Mt+BWLtHOw4Nenp4UfPkvUro1Z5CvN52aNKDQWI6Pj49i8bBarVX6KzmtRhUVFWRmZjJs2DAkSUKtVlNSUsLMmTOrtbpcPodKoyHgngG0enYwDcplHqvIJTU1lZycHJex1fVvqjzuegrzXS09vDKyzR07V65YLLg1EZYagUAguImUV9iYtiWFbzen4KnT8p/7WjEkujaqa6gEfD0cyjnE0+ueppnZjze/y8RWaZ8EZHy7HI0n6DpGk37qHFFRUUr20uXiBRwxK5MnT8ZqtXLu3DmXVgMtW7bk+eefp3379lWsKTWlVg9+5HF8Y2MpOJXMj4u20qBWqEv21OVUzm5yjrtWy0tN1NQyoqRLI+S6lmuaQ3BrIUSNQCAQ3ARkWWbF4Qw+WXWC3NIKHutej+fjGuDlfuPZP1fi/R3vc8emYh7cUojKUyJy1pdoatXH69U3Wb5kGR0unAOVmrKyk+h0OpYtW0Z2dnaN4sUpGn766SfFuuHMKKqcsu2sFeO0plSXWq1SqRg4cCCy2YTRaiNYp2Xl0p+rZE/VlN2kUqmYPXu2kjb+R6jOxbVv0vc0+rLuH55b8M9DuJ8EAoHgD3L0YhFDp+3kxR8O0LyWD7+93IM3+zf50wTNlrQt3D/tJA9ukQGJ0LdG494lHk1kI1QGb0fw7uEjHDx4kAEDBmA2m+nXr59SUXfRokUu8/n7+9O1a1dmzpxZrbvGSeUqvcHBwYoVxN/fn379+rFt2zYGDhxISEgIZWVlGK0O+1ERKrrd4aiBU5nLg4z79etH//79q7jFauJago2rc3GZC4qwFJuRZREsfLshLDUCgUBwg+SUmPn8tyQW7U0lKsiTuY93JKZh0NUP/IMs+u1zXjhz6X3qO5MIy0zD93lHLZbKwbsrVqzAZrPh4+PDmDFjGDduHKNGjSIrK+uagnSrs6b07NkTq9Va7fG9evVCZSyhu8HAZ01rEfbpf8jxqUWnTp0YNmwYRUVFytyXBxnXVFfmSlxPsLFTlLkHBdBSa2Xs/DgcjjiHKJJxVFqWASQV4NgmSyqQJCx2G8c89MgqCQkJ1e92AUlyvHcgE5EroVb2gvT7f0iALKPztoFWg6TSIKvUSCotqNRIag167zqU5iVhyzmJZAhEpbl64ULJDLJnOL7BEbhrPZS12GQbpeYSTCWFyFYrqCQkldphMVOrUanUSCo1klrtiJ1SaVBJKuWl1+p5pNkjuKndrule/BMQokYgEAiukwqrndk7zvJ1wmlUKon3BzVneKdINH+gtcH1MPqe/zD3yAM8tPpSsOujb3/Nry98pLwPCAigQ4cOTJgwgRYtWlTJGqqpBcHlrRCqqxXjzJyq7viiPVuwlZnQGdzpsDERlacPte123NzcKC4urjJ/Za6W3VQdV7oOqF6U1R/2JtG6/dCgKTKSI7jYIWWQJQnJbgccL0kGSbaDDL45SbTwCsfiplfG22U7MrJi9bFbLYRlncfYoq5jPhllLEDIhVz0kpkLYX7INguSbEO2lILNis1WQfHF/eBdC33UHVhKs8Fuvepn0D4pic0+FgoO78Nis/x+Phk1KnRaD9R6A5JWC3Y72OzIsh3sv/+02cEuI8t2ZLujZYYNO1abBXtBIe1fb0+b4DbXfD/+boSoEQgEgmtElmU2JmXz4YoTnM8rY0TnOrzcpxF+hr/2m2wjv0Y0fGIMU/mU59N8aPDlHHT97qD7eRueKhXl9SN497NJjB8/nn79+nHvvffWmDUE1QfpOjEYDIwbN65KBd/t27dz+PBhWrVqRWlpKXNnTqOuwR05NRd0GjQdu5BdWk5Bajpffvkl5eXl1KpVS5l/27ZtpKSkKEHLPj4+eHt7U1JSUuM6r0Z111GdKJs36yOCm/+bx7q8fF3znzmxBN+gZvgHNq5xTIXZyCHTQjoMfKza/eU71qINCULTILra/TdCuWkSd949+qbNB3Cm8Az//nIQdtl+U+f9sxGiRiAQCK6B09klfLjiBJtP5dC1QQBTR0TTJNT76gf+CaQWp7Jj1Uz8esTQ+J5vsZw6CICHhxr3Clhz6Dib+/ZVxu/cubNK1pDTgmE2m7FaL1kDgoKCFAtPZZxuHrvdTmRkJEajkTZt2qDX6ykrKyNYq2FqZC1+Dg0gc/t+MtetUwKIAfz8/Fi2bFmNrRYsFgvFxcUEBgZec3ZT5euAqsHGUL2La878hSRs3Mxjz1yfqFFr3LFar2JFuooGkMuKUXk2uq7z/h04xWZlK9OtgAgUFggEgitQZLTwwfLjxE/cytncMqY93I75T3T62wTNjvQdvD95CHa9juf7vAtA8ZyJmNPysVfY+bReOMY1CygpKaFRI8fD88CBA9x336Xqvvn5+UqQ7qBBg+jSpQtDhw4lICCAuXPnotFoGDhwIOBI2S4vL0eWZQoKCvjoo4+w2Ww0btwYWZZZ+uxQfqwXSYyvgWcLivl4/i+MHDmSPn36kJycTHJyMomJiQwePNglCLh79+4MHjxYqStTVlbGihUryM3NrVLPpqaA4IKCgusONrbZZZAkrJbrT+lWa9yxWa9ctK+iohyNW81NSeXSIiRPv+s+91+NSlIhg7DUCAQCwe2AzS6zcM8FPv/tFCaLjVfuaMRj3erhrv17egbJsszcI3PY9sPn+LZrz3t3TcLbzSGsrMVF7DeVc6HCQuNDJyH+IQBUKhWtW7dWso6cgbQbNmygT58+REVF4e3tjd1uZ8GCBfj4+LBjxw4lLsVkMrlkLHXq1IkmTZrQvXt3Ui9coJ63ntBlO2jSsS53f/MjfnUaKC0MrjcI+EouMKg+IHj9+vX07du3xvNA1To6X0z6CrnCRM+u7a/7Hqi1HlcVNVaLCfWVRE1FOZL+5jQvNf40AUmjAzf9TZmvMs7Q51stQ0yIGoFAILiMnSl5jF1+jJOZJQyJrs3r8Y0J8b56FsqfhdlmZvz6d8lIWEWze0byYqdXUasc4sq8ey1F20+CymHBWL58OQBnzpzhqaee4tChQ5jNZurUqUNoaCg2m42ysjKWLl2KJEm4ubnh6+vLkSNHUKlUFBUVKeJiwYIFLFy4kFGjRjFv3jzsdjvHjx+nrKwMN0liQZ1Iwh/ti+/rk5DhikG+1QUBX811VJnqAoJXrlyJ2Wy+4nkur6PToGEjAu9+ky7RLa/7Pqg17lSUF1xxjLXChMbtKr8rN6mBqaRxw+Mmx9Iocwv3k0AgENzapOYbeXbePh6csQsPNzW/Pt+Nz4e2/lsFTZG5iJe/f4DUHesY9PSnjOnyuiJoSpdM58yjo1G7SWgCA9FqtXTp0oUuXbowfPhwYmJiAJg4caJjfGkpZ86cQa1WExsby6FDh+jZsyfZ2dm0bduWkpISJk+ezLJly1i0aJGLuHC6eba9/wI9vQz4adQ8nZ/P6d6PcDIpqUoLg2tpcXCjdWoq18uRZbnG81TXOuHX3zZjaNwNnfb6H39qjTs2m/mKY6wWMyrNn1Of6HLksgKMP39G2aSRN31u4X4SCASCW5Qys5Wpm1KYvvUMfnotE4e14a7W4Te9tcH1siplJXPnvYHWKjP6he9pF9LOZX/2xKm4eauot2YLUvvOYC1T9pWWlnL27FkAvvnmG2bMmEFZWRkeHh4EBgayadMmWrduDTgsLHa7nY8//pg+ffowZcoU+vfvT2JiInXq1AEc7qQ6lHF65lL8JDVZFitYSujYsWOVFgazZ892sZCAo91C69at8ff3V7Zdj4uqpno5K1asuK5WCuUWR0FAN/X131t3dz9yf7fUpGSmcOjsIdSSWrFmSEioivJpGlz3CrPcPMuHfvhYAMp/nXTT5nQi3E8CgUBwi2G3yyw9dJHxq09SYLTwdI/6PNOzAQbd3/unscxSxhebxpG2fhmRMT0Z1uEJokOqpgBLatCE+KDyDQQgKysLg8EAgNFoRK12WHRmzZpFp06dKCgo4MEHHyQtLY1z585Rp04dhg8fzo4dO9BoNLzxxhs89thjSvp23bp18ff3x93dnUaNGqGp25zab45k0uKfGXe6mM7nzvLk8y+Qn5/PnDlzuO+++wBHheHw8HDq1avHTz/9BFx7F26z2cxHH33ERx99pMzl7u5Ohw4dmDt3LnApNXvVqlXKdVwrxgqHqNFpr/8eGzxDsJTnA3Dk3BHu7nR31dYPv8xEJxmuMMvfK5SvFZXkuC7hfhIIBIJbgIOphQz5dgcvLzpEuzp+JLzSk1fvaPy3ChpZlpl/dC59f4gjb+Uyej/6b8YP+Iav3viq2uyfk2XlVY43Go0YjUb0ej0ajQaNRkP37t2JioqiQ4cOdO3aFbPZTMOGDfH09GTBggVkZGS4uJv69euHwWDg6aefJiEhAZVKxa5du8jKzaUsfhQvacJoceoUpRUWvvzySxb+8AOBgYEkJCSQkZGhHLN///7r7sJttVrp2LEjGRkZLnMdOnSIqKgo5TpmzpxJWVmZEhB8rZQ7Rc0NFkpUafWcPrrIYZWpJvanfd1o3LVXEjW3hkhwViW+1dxPQtQIBIL/KbKLTbz64yHu/mY75RU2fniyM1OGtyPC/+ZnkFwPFpuFt5Y+y+a542l9pIxiA7QObqMEbMbHx7s86DUaDU8cOuMoWUv1KdLDhg3DZrNRt25dRRAtXLgQSZIYMGCA0hsqMDCQO+64gz179lBUVMSpU6cwGo088MADtGnThhYtWmAymQgLCyMsLIyVq1bj4+PDpKF3sLlBFN0MbqhVKkaNGqUImBYtWlBeXq4ImCt14Xb2pNqzZw+xsbGEhYW5iKHL54Ibqz4Ml0SNu7Xwhu6TbLOg1dWczm+3WFBrrxRT82dYam6+ULpVA4WF+0kgEPxPYLLY+O/2s3yz4TRuGhUf3dOCBzpEov6b42bAYWH5ev9XlG7dSttHXqB1UGu83bxp7H+pcq0z+2fUqFEu1X1brt5Ll/h4jh8/TmpqqvIwcrptAGrXrs3KlSspLCxk5MiRnDt3ju3btxMVFUVgYCAXL14EoGPHjo4eSL8Lpbi4OPz8/DAYDERGRnL27FlUv4uXwsJCXlr0K4WT3sD7399S21zCvuxscnJy8PDw4MwZR3OqevXqAdfehds5txNncLNer8disZCZmal0Gr9SlWTnXJU/K39/f+o0aUVF4yFovW6sAJ6tooTQyK6Qt6na/XaLBdUVRc2tIRIU99MtFlMjLDUCgeC2RpZl1h7L5I4vt/DFb6cY1iGSTa/FMbxTnX+EoMktz+W1nx/jxM//pe7dD/JEyyfoGt6VFoEtajymT58+PHRHLLXdtPzQtSkajYb09HQCAwM5dOgQhw4dYsaMGRQVFSHLMmlpabRu3ZqBAwdSUlJCkyZNyMnJIScnh9mzZ2Oz2fDy8uKVV16hfv36SJKEXq9Hr9dTUFBATk4OZrO5WneL7+hP0XVpx35jORJQN6I2Xl5epKam0qlTpxvKbnIGBXt6eipzGY1GatWq5WLV6dmzJ3FxcVfs0n25hUuSVGT/9AFuN+B+stus+NlCWL3xO0rLS6sdI1utqDR/tb3g5v8eC/eTQCAQ/MNIyixhxHe7eXruPuoGGlgzJoZ/D2qGj/6vSbm9GkXmIt6eM4KilJOknYnkXz3+Dze1W7UPaOeDfv68eaxfv551Cdv4un4tYt99lzfffBObzUZubi6tW7emdevWjBo1ioiICMDxYHemNPfr14+ysjLq1q2LxWKpNt26sjhKTEykV69eZGVlsX//fmXtlYXHorUb0bq5MbluOBse6k1iYiLh4eEcOHAArVZ73XEwl6d6Dxs2jODgYM6dO6dchzMzqzq3nLMaMlyycDldWf0eehpbSQ75BYXXda9OTX2Yi79NJrjdPdwd/wrD44ZXO85utV7FUnNruZ/sV+v78A/jD4ma8ePHI0kSY8aMUbZNnz6d2NhYvL29kSTJxYxYE++//75LEJwkSTRp0sRlTGxsbJUxzzzzzB9ZvkAguE0pKKvg30uP0n/SFtILTfx3VHvmPNqBqGCvv3tpCskFybwx50FshYW8+8wPhOhDlAf00KFDyc/PZ+3atbRu3ZoffvgBHy9PpnZuSKyHBx0MHvRuWZ+n842cq9VSqdly1113KTE16enp9OzZEy8vL3777TdFgCxYsIDU1FTOnTtHrVq1FKtH5TRotVqtBOU2bdqU2rVrI0kSP//8s7L+ysJjwIABhISE8O/ULHQGTzp06EC3bt2w2WwuAuZa42Ccqd7XIoYuFy2XByNXprS0lK1rfsXNP5wAv+trcxEy4A0MDTqj865a7bgyksVC6oqVnFr0I0kLF3L6l184u3o1FzZsIHXrVuxW23Wd9+9C5ZQHt5b36cZjavbs2cO0adNo1aqVy3aj0Uh8fDzx8fG89dZb1zxf8+bNWb9+/aWFVWO+e/LJJ/nggw+U93r93xvYJxAI/llYbXbm777AF+tOYbfLvNW/KSO71sVN888wSl8e46EzaOnQqRPFdxY73v/+gPbw8CA+Pp6nn3ySe4YMoaO7hhMlpbyx5SgxUbXZeCqVY6fSMBqNNG/eXJlv2bJlSJKEWq3GZnN9eGq1Wlq2bMkzzzzDunXrWLVqlUsdmlGjRikp2YDLPKGhoej1ekymSy0CKteYCQwMpG3btqy/mMas9TupXDUlNzf3uuJgquNaxVB1wciX17fx9g+i8YMfoEpJgNxToNKA2s3x0rg53vvVg1ptXea2WkykFmdTmnsBtUqNVq11vDRaNGoNbmo3VCoVkf37uxxnMZkwl5ZQYTSSvmUzbsVFeNltSKqb2W7jT3A/3aKWmhsSNaWlpQwfPrzaAklOq82mTZuubyEajVICuyb0ev1VxwgEgv9NtiXn8sGKYyRnlzKsfQSv3tGYIK+ae/D8HZisJuq2qUXXbgYa9BnMgNpD+PD9Dxk4cCC9evVyHZybzo/PPUGkVksAGhoEeZCYmYfUqhNxtaL45ptviI6OJjg4mIqKCsX19M477/Dll1+yc+dOAgMDyc3NpVOnTkyaNIl3f3dVnT17ttoid/Hx8Zw8eZKioiK+/PJLpk2bRlJSEr6+vmRmZtKhQ4car81sNiNpNGRmlLDjqcHs2rgXm83GtGnTmDZtGlqtFsvvTSTj4uLw9/dXuoFf/uX48n5NVxJDV2u1EBcXx9SpU5W5nn77Y47OeZvzQ76iTvRdYKsAq9nxslscP4/+VEXUFKlKSbVlU5J3Hqvdis1uw2qzYrFbsNoc72Vk7LJdCbJ1IiGhVqnR1NORknqMuEOTlaw1px6xF6fi3vQh3INdCyz+XSii5haLqbkhUfP8888zYMAA+vTpU21jshshOTmZ8PBw3N3d6dKlC5988gmRkZEuY+bPn8+8efMIDQ1l0KBB/N///V+N1hqz2ezSE6S4uPimrFMgEPyzOJdbxkerTrDueBYd6vqx/IXutKh1cxoG3kwSLiSw70QCdoud595aRLda3QBcmkeuWLECT70ek6kcmwzBWg2/THiHKXuSydi6lbp1vbDb7djtdiZNmoTRaKRRo0bodDpWrVpFYWEhd911F/7+/sTExNCiRQsSEhLIzMxUXDMxMTHk5uZWa/nQ6XSo1WoKCgoYNWqUsj0yMhKdTsfRo0eVbZWFx4YNG0hNTQXgx4oifpyxDE+Viveio/j35r2oPH0YNWoUWVlZVZpSVleM7/J+TVeqEny5aKlcDRmqVi3u9/R7HN7SlRkLlzIubkT1N+vU2iqb1Co1bcKbEhHRrfpjrgG73c4a/3y8mz5bZV951j7sxuwbnPnm+4ic7qfbPqV74cKF7N+/nz179ty0RXTq1InZs2fTuHFjMjIyGDt2LDExMRw9ehQvL4cP/KGHHqJOnTqEh4dz+PBh3njjDZKSkvjll1+qnfOTTz5h7NixN22NAoHgn0Wp2crkDaf577azBHq68fWDbRnYKkz5hvl3IcsypZZSvNwuxe98d2Aauxd+hbuPP+XJZXSv3V3Zp9Pp0Ov1lBXm0y3Mj7fcvPg8N4cNxaXky9D9Zde/Y+fOnQNg8+bNtGrVCp3ukjXKZrO59EVyc3MEHVdUVJCSksL06dOJjIxk7NixNVo+unfvTosWLZg3bx6vvfYaCQkJ7NmzB39/f5YsWaJU+gUU4aHRaPDx8eGzzz5j4MCBpJ9N4a3HRjDt8DmGte9M493blGu9vCllTEwMOTk5BAUFAdSY6l0TlUVLZfde3bp1lWadhw8fVqxBJqsdSSVRXmGtedJqfoX2X9jIgI4vX/O6qsNoKcJD61ntPpWHP7aCU9c8V8XhLVjWTcXt7jf/0JpqQqlTc4uldF+XqElNTWX06NGsW7dOqX9wM+hfyQfZqlUrOnXqRJ06dfjxxx95/PHHAXjqqaeUMS1btiQsLIzevXuTkpJCgwYNqsz51ltv8corryjvi4uLlUwAgUBw62K3y/y8P40Ja5MoMVl4Lq4BT/dogIfbzYxRuDqy3c7xjx7j3MFDWPw9KLyvHymeVnam7yTLmMXyu5dTx7sO3+6bzOFF39J22DNUZO3j+03fo1arcXNzo7y8HC8vT6IMbiT8tp4uBgOt7u9MuMlAr5w8Jk+eTHR0NMOGDWPLli2kpqbSt29fjEYjb7/9NuPHj+e3337DbDYjyzJnz57Fy8uL4OBgoqOjWbFiBbIsc+7cORdrxdSpU/H09GT8+PF88fnnLF+xosr1OeeZMmUKo0ePprS0lIiICCIjI6tYWzZt2kRsbCxPPPEE4BAs/zdjLjExMeRbrVy4pxf2gCiX+auLf7mc6urM1OSyctKvXz+2bdvGiBEjSE9PZ9euXfTv3599+/ZRUFDAupnjsZrLGdSne7XHO25u1U1BOj+0V6wUfHWKyjPx0QVWu0+jD6HClHfF4427fkHKdFi1ZJsdKbAemnotsexb84fWVR3OlO7bWtTs27eP7OxsoqMv9SCx2Wxs2bKFyZMnYzablV4jfwRfX18aNWrE6dOnaxzTqVMnAE6fPl2tqNHpdC7fYAQCwa3PvvP5jF1+nMNpRQxqHc6b/ZtQy9fjTz9vdQ/XRjo7b7j54l7fg5AUE+4nF7L6hSiiw6JZfXY154vPM2PbF+RtTuBIkjffdnhJOV6SJNq1a8ejbeqzatFS1qUWUC7LnNR7UGvWJYHRsmVLLBaLIiLAYaEpLS1l48aNyjYvLy+aNm2quFyys7PJzna4MvR6PdHR0UiSxJkzZzCZTKxevRqtVsu7775LwprVdDcY8NJKFNepg5t/sDJ3dnY2999/P61atWLx4sUsX76cwsLCKtaWlStXurj7KwuWNlM+5OK/3qfsSAIrCkqvGP9SHfHx8Vd0WVV2g11eDXn27NlKFlRYWJjDehUYQZ8XxhPbqXXNN7waS02dsGjOnt9I/Xq9az7uKuSUpRLoWf2Xa7VGj2yvqHaf3VJK0cZXKMuWqD1imrLdlpVK+bRnUbXod8NrqglnXNCtFih8XSkBvXv35siRI0oa38GDB2nfvj3Dhw/n4MGDN0XQgOMfREpKikuH18s5ePAgwBXHCASC24OMonJGLzzAkKk7scsyi5/pwtcPtv1LBI2T+Ph4DqUcYuKmiQx6pD66YguP5WfQa91BGk35D3ULZT5bkM1TTR8F4NvvXyLz0C4GP/MfGvo3Jj4+nqFDhxIeHk7XVs1xSzrCO98u4J164RglcHNzA42WuLg4Bg0aRLdu3ahVqxYAAQEB3H///ajVaoKCgoiIiKCkpIRGjRxVcUtKSkhMTFQaSXbt2hW1Wk39+vXZvn07Pj4+7Nu3j3bt2mEymVi6dClt2rThhcaBGK023AIMeLhpcD9znnUL57B57WoA0s+koNfrGdCvL/f0vwPZUoFstWAvKcBeUkDxxfPM/e9MvDw9f08bN+DpacDLy4tlv/7Kgm8n494mhoiJnyDbZDq669g19ZPrKsZ3tZTtyq0WVqxYQUFBgRJ/M3nyZJ5++mmioqKw2WwUFxfT642ZNO/a97rvf0RENy7mHLvu4ypTYMwkQF/7CiMuqSmbqYCSY7Mo2vc5JQe+wqP1k6j827iMVodEYPLujjHVxM3mf8L95OXlRYsWrlUuDQYDAQEBynZnczKnleXIkSN4eXkRGRmptJzv3bs399xzDy+88AIAr732GoMGDaJOnTqkp6fz3nvvoVarefDBBwFISUlhwYIF3HnnnQQEBHD48GFefvllevToUaMJUiAQ3PqYLDambznD1E0pGHRqJgxpxZB2tf/SSsAFpgLOFZ3jTNEZRmwdgQ4NX+4xkdwomMcOnKUov4igrgNRvZ1C6gdTcXv9RQZ5yNj6dOK1+I8I0gexiB/R6XS4Y4OifLanpyMDdiA68QQAKtlKeno66enpgKNWjI+PD1FRUZw+fZoDBw5gs9m4ePEiFRUVeHl54a7V4q9R08LLg/80qU12eQVPHr/AvowMJFnGmpaKxyMP8FCJkZVGIwUb1kO5ifTpU9j742JmZWfjqVHj2boT7oUZFB44yYHuffgmO5tIrZbcfv2hvJyLM74jaekKijPSWVlcjKePw11ULssEqTW0c9dhdnfn38EOC06xzcYPhYX07zeAhXXqUkurRbaBh6TC7YtviDrwIgAzZ86sNgurJi53WV0efzNq1CjmzZvHyJEjGTlyZLXWIJPFhoebhpRz5zBe/AW/Wo2oHVVz9ebKXJ7VdL2UW8sw6HyvOs54cTOWtG0YWjyOxlA543dvlbH+wx8mZ+q3f2hd1fE/Eyh8Nb799luXAN0ePXoAMGvWLCWaPiUlhdzcXGVMWloaDz74IHl5eQQFBdG9e3d27dqlBI65ubmxfv16Jk6cSFlZGREREQwZMoR33333Zi9fIBD8A5BlmdVHM/lo5QmyS0w82q0eL/aKwsv9r6kEXFpRyobUDaw6u4pd6bu4kHsBH3z4sNuHdJi/nPTsLWxv0pCoErUSD+L54GhCTh0j64etPBqmI+qbaZeClu12LMmHKU7Pw2q2Eh0aQKbanaycHPr27cvKlSsxGAwYDAaKiooYOnQoc+bMIT8/n/z8fCRJoqCggGbNmtGqVSt27tzJokWLGNa7J6llFiwaNbpagURqNNTJKCAzqwCAwABvimOas3TbYfRaDdtKjcjADwXFzMopIFinpWffvqxctcrR88luo0PyKYK8DHz28AAmnTqP8bSd+0bEE96oLh5zVxBTVMoXD8QDEoXlJmZu2cfP+47RNSqCuT5eLNh1yOWzfLI4n/nPP4j+tx1YjOVEfHkp0Pixxx6jrKyMjz76iI8++qjamJmrpWxfzpWyoerUqYOxwoaHVs0xbSsiLSmU5qXDNYqaP9tqYTfmYCvPxZK2DZ9O71S3gD/1/JW5VVO6kf9HKCoqkgG5qKjo716KQCC4AkcvFspDv90h13ljhfzYrEQ5JbvkLzmv3W6X92buld/e+rbcfm57ucXsFvIjqx6Rfzjxg/zAiAdktVotG/R62UOSZEAO8dLLa/pFy6Zday7NYbPJyZ2ayEltmyjbypb9V7432EdWg6yWkOHSS61Wyx06dJAXLVokGwwGuX79+jIg6/V62WAwuIyrfJzzpfl9LZVfKpVKBmTpsn0ajUb29vaWv/76azk5OVlOTEyUR40aJbu7u8vdunWT77nnHpfxkiTJrVq1kn/66SflWkaOHCkPHjzY5XOzWq2yRqORGzVqJI8cOVKOj4+XMzIy5IsXL8p6vV6uV6+eHBER4bIvIyNDPn78uNy4cWMZkH/++Wc5IyNDPnDggDxgwAA5IiJCOV+fPn3k5ORklzUHBwfL586dq3IPa1qfwWCQ33nnHVmWZbnrJwnyf9aclDclZct7V8yo/pdh04RqN29L/LrG359rYeXxKVfcX559QC46OFkuu5BQ7f6LK76pdnv2lKl/aF3VYbVZ5eH/bib/cuqXmz739XI9z2/RpVsgEPwjyCs189lvp1i05wL1Ag3MfrQDsY2D//Tz5pbnsvT0Un49/Svnis9R27M2T7Z6kkH1BxHm6YjZW6NeQ1xcHJNGP0HqmLcostj5obCQ4esP8XP68/Q4eApJpeLRxx5jzu6TjoklCV83DS00OtzcVPRo3Qzf+o1ZsmSJcm6bzYaHhweNGjVCpVJRUFCAWq3GaDQqYyRJwm634+vri0ajQaPRUF5eTosWLdi7cwfW37+8GwwGysrK0Ol0tGzZkvnz5wOXrBULFy6kU6dO7N27lxdffNHlMzhw4AA7d+5USmTYbDbc3d05fPiwUmXY2fW7cePGLsc629ZUVFRQXl6OLMtKwbzy8nJefvllXnrpJUwmU5X6M25ubnTo0IF7770XqJrm7byuyplb1+uyurwacbnFhoebGlmW0Rr8ajio+s1/tivGPagN7kFtqt1nt9uxlf119daULt3/6+4ngUAguB4qrHa+33mOSQnJSMD/DWzGiM510N5AF+XrIaUwhe+OfMeqs6tQS2r61u3L/3X+P9qHtq82dsJgMBBVrw4etTwxZVlo5u5Ox+RT/OqupWclV0hceABjDb7IQL5sZYoE2y/m0LduQ7y9valVqxaNGjXCYDCwYsUKtm7dStu2juq1bm5uSsuBWbNmMXr0aLKystiyZQtFRUWEhYXRsmVLtm7dSkBAAGb7pQdOWVkZAOXl5SQmJvL444/z9ddfK72T5s2bx/nz5wkPD1cyiux2u9ImoXJGkdP1ULduXXbu3Ak4ymosX76c9PR0JEnC19eX5s2bU7t2bSwWC+fOnVNq6DRr1kz5zCZMmEBkZCQLFixg4cKFLp/pqFGjXPoDXkua99VaJlytGnH57+4nANnu2koiLyuNsqJcatnsHNv4E/z+ORjUeQQZjJzKO4wpeRZNgzpTy7cpp7J34e0egLGihJyy8xjcfGkRFlftugBs1uo7e18Nu7WCC3PeJ3Tw0zd0/I1wq7qfhKgRCAR/GxuTsvlwxXHO5ZbxUKdIXunbGH+D2596zmN5x5h5eCbrL6wnRB/Cq+1f5a4Gd+Gju3IVYsvZE5x9YBRqnUStfw2neOMGNBfOooq502Wczt2NQJUGr+hIZtp9WbdoMQBLly7Fzc3RH6hyOrZKpcJms/Huu+/yww8/cPbsWaXfkoeHBz4+PsqYyoHEK1asQAL8tGos7nq6du3K7NmzefHFF/nll19IT09XhIrzAVWdNcVqtdKwYUNOnDjB4MGDWbZsmbK2tLQ0Ro0axYQJE/D391faLgAUFhaye/du9uzZw08//cSQIUOIiorizJkzeHg4stLKysqwWq34+vrWGANztZiZ62mZAFeuRlxislBuseHlrkGSJKymEnbOeRu3oAZo9b5UlOUjWypwz9tPYO+7Ca/rsEptPLycBq0G8RhQas5j+7lfmJz4Lnc3HsHSkzOJ8K5P76iH2JiyELO1nHYRd1a7No3m+huqZm9egKU4j7B7X0Tn99dm+0pIQtQIBALB1UjJKWXciuNsTMqhc31/vnkomqZh19c1+XrZm7mXmUdmsj19O5FekYztOpZB9QehVV89+NiWnUZxykWMcc0IHj+diyodk/dnUGreVOXh6ta0LVGT/oO2QTNsw4cTERFBfn4+HTp0QKvVKuUonM0hbTYbKpWKxMREmjZtSkpKCuvWrVOEiEqlwm63V/l/589Sm507evZErVYrjSclSaJZs2YsW7aM7du3s2DBAqxWq4s1pVOnTjRp0oTu3buzbZuj4u+yZctQq9W0bNkSDw8PdDodGo2GgQMHEhMTg6enJ76+viQlJaFSqdi2bRsxMTFKQgg4mlvu2LEDcIiQ9957j9WrV7N//36XGmdOrtbm4HpaJlytGvGGk47aPV2jAtlzNp+ufUagUqlRV2qgbDYZuZjchjq1G7D16BqsdouLRcdTF0C/xk+SWXKBTnXuQWdvTEbuUY6eOUIgTdl9JpHEDJBlO1Ili58s2ykxVmAt2+CYx92duBZda1yrE2tZEbUGXXIXlh8+QvHaNag8Lwkkle7P+SIg/cFsr78DIWoEAsFfRlG5ha8Tkpm94xyhPu58OyKafs1D/7TWBrIss+3iNmYemcmyj5ZRuL0QgKMcZZf/rqtWpwWwpByhfN8+tpWVEb1iD6xoe8WH68o1a/FrvRlAiXHp27cvK6qp2gsQHBzMxIkTmT9/Phs2bKiy3ylewCFq9Ho9zzzzDGfOnGH5kiX4aNSsW7eOTp06ceLECXbv3o3NZlMsLt27X6qc64yLyczMxG63c/z4cRfryFdffUVhYSG//vqrkh7trHy8YMECdDodO3bsQKVS1egqUqvVSgxMaWkptWvXRpIkfv7552pFzZViZq4mUi4mncBSbqxxv/rocfzq1FPeH0s4xf12Cz5H9uJbrELbtlaVY3Tueuq3dPR3stotxLWq3iI0sv2HANhsBbRr2JNg3xAAejG4xvU4WXdoGxXWK7RpuALG3bsJevFFVDexqn9NSAj3k0AgEFTBZpf5cW8qn61Notxi4+W+jXi8ez3ctX9OawNZltl6cSvfHPyG43nHaRXYik5hnZDipStWp604uIXsD9/k9Ytl/LD7sDKfr1pFnw6t+Xzm93zxxRfMmTOHPXv2cN999+Hm5kZFxaVKsFqtlujoaF5//XW+/fZbNm7c6CJonIG1/v7+NGzYkMjISF566SXeeecdVq5cCYCPjw979zpqkhQUFHD33XeTnp6O1WqltLSUzz77DD8/PyyyTE6FFbCyZcsWmjVrprhtwsLCaNeuHVar1eWanZYlZwwOQF5eHl26dKFHjx4YDJdaAfTo0YOQkBB27NhBixYtWL16Ne3atcPDw4Py8vJq06szMzPRarVYL3toz58/n2HDhl21ttjVYmYqU1FupF6bmrtan962Hc8RDzuu12xlztoSXh3YCM+YBrj9sPyq83MND3RZrjGuuEZMlgoGtXd0ZU9M3k9Y8h7Usk2J4VEmBrQ+rrFFdqsF3P5cF+0lhPtJIBAIXNh9Jo+xy49zPKOYe9vW4vX4JoT6/DnfMmVZZmfGThbtmMfWkp20CG3JjDtm0Cm0E48ufpRCS9US/zExMWRfOIdqyrvkLtsLEpSnZdAzwIsPfENwD1SjGvsp7389g4EDB9KrVy+X0v1PPfUUu3btQqvV0r17d7KzszEYDDz33HP06tVLeThrtVosFgtarRZfX1/y8vLYuXOnEoj78suXmiUWFRXRsGFDAPz8/JQWBJ6ennTr1o3Zs2eTnp5Ox/bt0EkSFrWGsLAwEhISANeMp5iYGJdrbtGiBWlpafTq1UvJkLp48SKdOnVi8+bN2O12PD09MZvNWK1WFytOr1692LlzJyNHjuTRRx+tUgMGHNWPO3bsqHT6/s9//kNKSgr+/v5VOnJv27aNlJQUxVLn4+ODt7f3FWNmKnNVMeF5qXnkxqRszFY7/Vtce1zKteX9yEg3WAzSVGHibHYWZy96MezJh67xKOmKbSVuJipJEtlPAoFAAJBWYOST1SdZeTiD1hG+/PJcV6Ija0ihvQmczD/J9M3fUHqxAM9gX76rN5k2PbvW6Npyuk8ahIdQ/MCdWArs+PdqTOD7U1C3aYWmpIK27z+D14hXAXjTEEBMTAwmk8ml27S/vz+NGzdm27ZtSJKEj48PZrOZ1NRUl35RQUFBNGjQgHPnzpGVlYXNZkOv11NRUYHVakWv17NkyRLuueceJaXbw8ODgoIC5SEmyzIVFRWcOnWKWbNmYZPBKMtgt3DhwgU6deqkuNQqZzxVvuYzZ86g0Wjw9PRUriE4OBidTofRaKRHjx589913vP766+Tl5VG/fn369+9PTEwMBoMBtVqNh4eHklV1eXp1Xl4eq1c72iwcO3aMxo0bo9PpKCoqIjU1Vbkf/v7+VawxVquV4uJi/P39q42ZuZyrPW4r3/vVRzJpWcuHCH/97/uuLgyuRao4HvrXJ2rcNBqW792AXbbTrn5jdh4/QmpKKhEN/llNlyWk27tNgkAgEFwNY4WVbzefYdrmFHw8tHx+f2vuaVsL1Z/U2qDIXMS3e6Zw9uBx1H46Rtz9FDG1YrAVV1BxrhhdvUtZTVUybYKD+FqvR61RU3vax7j3uBsAz179seTmKIKmcvyITqdTgnwBLBYLaWlpyr68vDwlA6hHjx5s3boVo9FIZGQk+/bto2vXrqSmpjo+q0r1aPR6PQ8++CCSJKHRaLBarfz000+Ulpby6KOPYjQaKSsrY+PGjUr2lPMT7dylC97e3owfP15xqTkDgpOTk12u2cPDQ7H+ZGZmUlBQwJdffonRaMTDwwNfX1+ioqLw9vamvLyccePGsWjRIg4fPozFYqG0tJRjx465CIbPP/+cvXv30qxZM1q0aIGvr68Sm2O32/Hx8aGgoAC9Xk9ycjIqlUpxheXl5bl8Ds7g4+zsbAynT2OvqECSJNwaRGFOPoV706Zofxdj1/obVV5hY8PJbF7sfSl252oPa7vdhsVacvXJ5Usdratjz8FMMrMuufrcfN3w8GuKl1pCq1ZRYpGo27ktmxP2c79svuSC+v2nNTcXy8WL2PLzsVdYMCclXX1NNwkZ+U+Ld/uzEKJGIBDcFGRZZtmhdMavPkleaQVPxNTjubgoPHV/zp8Zu2xnafJSftuyFLvVTteefXio+UNoVY5sJo2PDvP+fVTsP4vXkOFA1UybyRM+4ekly/g1rBGRzTpemlytYeW6hCqxIT4+Pqxfv57MzEwXoeDE2fPOSUJCghIjcvDgQUwmE+vXr1f2GwwG3NzcCA8Pp06dOqxevVoRNAADBgzA09MTg8GgPPidMS9lZWXo1CraeOtp1KgRWVlZhIaG8uSTT3L33XfzxBNPYLVaadeunVIfpqCggAcffJCUlBTWrl3r0hDY19eX7t27uzzE1qxZQ+3ajgaMKSkpeHl5MX36dNatW0f37t2Jiopi9uzZfP311/z6669s2LCBmJgYysvLWbFiBXq9HovFgtVqRafT0blzZ8LDw4FLrrA1a9aQk5NDUFCQi3h0S0zEPTYWtacnpVu2YDp+DH10NBUXUjEdO4ahe/drdoxsPpVNucXm6nq66sNaxmotZ+Ph5TUGCztGyVecKyvbyKB+DZT3547kEhEVgNVux2aXsdhkbAEGWof1QFVRrsTSOH7ImFPO4Nm1C5qgIFR6/TVc7c3jFjPSAELUCASCm8CRtCLGLj/G3vMF9Gsewjt3NiMy4M/7A3ws7xjTN3yDObOE0GZ1ea7LiwTrL1Uflu12Csa/SNa8BDSh7TAfcGQVVc60sZw+xLsZSSy225mXlM3XXTvyY/JFZQ6tVoufnx+1a9dm3LhxzJ49m3Xr1mG3211Ss+Pi4sjJycHDw4PvvvuO8vJynnrqKYxGI4MHD2bXrl1ERkYSHBzMnj176NKlCz///DOSJHHs2DHee+895s2bx+nTp5FlGYvFAjiyiGw2G6WlpZSWOoq26TQavnt4ALXOp2Bu2IjHp//M/sIyapWWuqQ+S5LEkSNHiI2NVZpiOklKSsLd3Z3atWuzbt06oGrV4czMTMaPH88bb7zB5MmTmTp1Kn379mXt2rU8+eSTAGg0Gsxms1KjpkmTJqxcuZI1a9Yo51KpVDRt2pThw4czY8YMdu3axfnz56lTp47iCgNHkT9JkpRMrJ8nf4O+VSvUvwtH95YtsVy4gCYwEE1gIHJFBaVbtmAvzIcrBAo7WXUkk6Zh3tQLvBQEXd0T2263Y7Pbke2OOJm+7R5l05EVWO1WZLuMDRvYJSS7Hafh0WaxYCq3USJVUIYdze9FI1W/W28qLK4F/iSVw66j01wWJG9wA6q6Z91q18Lt93ilv4MrWaH+iQhRIxAIbpjsEhOfrU1i8b40GgV7Mf+JTnSLCvzTzme0GJmy5xtS9h9BFaDjiftH0z60vcsYS8oRMl58lLIzZfh2iQR1EQU7ZCyWZAhwpPBaTh/i/AMPUFEio9Zq0HZoirtPCPENypRKvtnZ2Zw+fZoTJ07Qv39/7rjjDnx8fLBarZjNZiWQV6VSKQ/4/fv3M27cOObOncvatWv55ZdfkGWZixcviSWnoJFlmbffflspTpeXl+dyHTabjcaNG/Pyyy/z2Wefcfr0abQ2G2Nm/sKGBlFw5gBttDrOmypYtmyZ0ibBGdgbHR1dpWIvXMq+qpx6PWrUKCX+Z/PmzYo4MhgMNGvWjMWLFzNkyBBlDue8v/76K+DqnktKSuKxxx5z2Q+O+Jq5c+fSsGFD3NzcFFdYx44dmT9/PsZDh8i7mM53a1Yz+PHH2Ll5Mw0iIwHQ+Pmh8bv0wC9NPI4l14Ll+Hm4r+bfFylHTfa8lfhvOs0L9QLIX3ipom9Ophs/rUvh/JED1G7qsB5JgEoluVirduWZ0fhvQEJCJakoLLTBSQ0N6zsykPRWLUezSlGry0koLKFxY39FL8kyZKlcRU1oPW+yzhQRFuVb88Jdr+Iax7mSf/wcOUcuxVOp3TTU6t4cj6BrPe+t1yIBhKgRCAQ3gNlqY/b2c3y94TQatcQHdzXnwY6RyrfUP4MtaVtYsH4WlNvo3KMXI1qMQKNy/RNW/N04Mr+aByqIeO9ZPB8cjWy1crpbDOXnMjE1duPYi/eR/9tBiirsLCgsoMxiZcibHzJ79mx0ZqtLJd/K7pGAgAAkScJsNqNWq7lw4QIqlYoOHTqQk5ODyWSivLzcxQLhfPhv374drVaL2Wxm1apV3HvvvaSlpbFgwQJl7ZIk8c477zBv3jwlHiYpKYl//etfNG7cGBXg5a4lo7yCZkknXa47KCiIadOmERISwpQpU+jWrZtL3I+fnx9t2rRh9OjRrFu3DovFogQJO+nXrx/btm1jxIgRPPPMM7z77rscPnxYKYJ3OdfbPdsppB5++GHeeustxRV26NAhtFotDRs0oHnfvvR4/jl8fHyY9eOPjKsh/duSmo7/g3dSsD6fY4nfOeavZpyusweH/Nsz+yiMeLIn/sGXsqHarD1Hnb51STSm0rF/zUXwNFstxNWJUd5neJdzWl1C0+aXLIOtf/9ZviuVQU3CXY5fZHZNidbptZiMrunukydPZsmSJXw/9yncdWFcCoGWsNjP4Ul3roeTP27Fu5YfDYd0R/W7RaiitJy0jYcoLyilVqdG+DaOvIaZREyNQCC4jZFlmYQT2YxbeZzUgnIe7lyHMX0a4qv/8+pm5Jbn8tXWL8lJSsWzjj+j414lwss1S8SWc5Gsl4ZTdCALr6Z+hH49D03tBtiL8sgcMxIMDZAtKazduoO1Wx3HeLm70TA4gMUzZxIbG1ulyFtZWZkiTiIjI7FarVitVlQqldK6AFCEDjgeTl988YUyx6xZs9DpdABER0dz6NAhvvvuO4qLXRsTSpKETqdjypQpxMXF0apVK1auXInNZiMlJYWAgAB0GjXFFhuenp60b9+esWPH8thjj5GSkkJkZCTPPfccFy5cULKe6tevT/v27fnxxx8pLCxk06ZNbN68mfbt2xMbG6sU4QNHCvmpU6cwGo088MADtGnTxqWxZFBQUJX7crVKwJe3N3AWBXz44YcVC1HXrl1ZsGABM2bM4J2hQ8Fuv646NV6+ETRo36PG/RmHV7H6SAaNQjyJqiRoAKwV11Z/5XIv1XWXbanG2KHVqakwWXFzdzyCc3NzSUlJwV0XSkCA6/WkcfQ6Twj2Cgvh3Vq4bHPz9KD+oM4AnF25i7zTWTQY0OGqcwn3k0AguC1JzirhgxXH2ZqcS0zDQKY/0p5GIdffy+Z62JK2hblrZqCSVQy6cygD6g+o8s2x7NcZZIz7AptZJuzZwfi8+AmSSkX5pp/JGDcNq8UXW9Z+Pg4O4ONgRyGzRtsSUAeGVzmf0/rgrNHixGQyoVaradSoEWlpaRQUFLjErzipqKhAo9EorQ927tzJhx9+yPLly5V6NP/973+RJAmtVkutWrXo0KEDmzZtQpZl8vLyOHLkCEajEZvN4bZQBJUMVqsNSkvZtGkTAwcOVLpc/+c//1EEiLO6ryRJLFq0iEWLFgGXsopWrlzJv/71L+bMmaNcgzPF21kh+VoaS1ZXCdjd3Z26desq25zz6/V6JQ28cqq287PLzc0lx2oje8kSpi9bTmlpKf3atKn2vNeD1WZj3YksHutWr8o+je7aCj/+UUNFdQ6c8CgfUk8UUKeF47N9//33ef/998nL26KMKS1Lptx4HnXp9S3AlF+M7ir90+oN6Ezh8bMcnrWeZg/1RKOrvlWII1ldiBqBQHAbUWisYOL6ZObuOk9tPw9mPNKePk2D/1SztM1u49v9Uzm2cw9+DYJ5q9e7+Lm7BlHaSwrIee1h8jenoI9wJ3LiVNyaO76JFk37gOyFJ7GVVCCXHgW1ltr/ehDTkQNIbm6o/EOrO62L9WHMmDFs2LABm83Gtm3b0Gq1vPvuu6SlpQGOQGJnbEhlnDE2FRUVzJ8/n+nTp3P//fcr/ZXUajUmkwmVSsXPP//MV199RU5OjnL8qVOnXOZzCqp6Hm409PdkS56RmJgYfvvtN0aNGkV6ejrTp0+nbt26ZGdn8/7772O1Wl3cS5eLlMvbDzhbIowcOZKRI0de0Z1UOf7GWRm5Q4cOjB8/HnDt7O2s2rxp0yby8vLIy8tz6fB98eJFbDYb06ZNY9q0aS7tJ9qkmsj/YTWKLHD+vskyltSM31dz5ZiP83lGSkwqBrT6axtBVqa6fyUqtQrZXnXtFkshRuNZAEpLjhMY2AuT9/UVqizPKUTnf/U+ar7N6mGoE8KJuQlE9mmLT92QKmNuxZRu5P8RioqKZEAuKir6u5ciENwSWKw2+fsdZ+XWY9fKzf+9Rv5202nZZLH+6efNK8+TX1n6kvzs14/IMw5Ml212W5Ux5VuWyildmsknmjaWc997QrZbLC77s8Y8ICd1Gywfb9xETn9qmFzw6zHZbrfXeM6RI0fKOJ6QMiD7+/vL4eHhcnBwsKxWq+V33nlHlmVZ3rp1qwzIKpVKfvTRR+Xk5GS5du3asru7uxwQECAnJibKgwYNkt3d3V3mU6lUskqlkidNmlTtMQMGDJANBoMMyN9//708YMAAWa/Xy25ubnJiYqJ84MABuVegtxzuoZM1Go0sSZJsMBhkjUbjch4vLy+5Q4cOcmxsrKxWq2WDwaDMGxYWJu/bt6/G6+/Tp498zz33uMwnSZLco0cP+dChQy5ja9WqJcfFxcmHDh2S161bJ/fs2VP29PSUAblbt24uczs/s5CQEJe5NRqN7ObmJv/000/Vrqn8ZF6N90u5z3s2X3H/d/Nmyr0+21jtvT+39pwsy7K8+9eNV5zj1y1bXN5fzDPKW45mVTt22c4LVbYt3Jda7di0pHy5wuT678lszpGNxvPy55+PlWNju8p2u10u2bL1iuurjqNz1l/X+FM/bZEvbDxUZfuI91rIi04uuu7z32yu5/ktLDUCgaAKO07nMnb5cU5ll3B/u9q81q8xwV5/fgO9s0VnGb90LFhkHh3yLJ3DOrvsl80m8v7vcXKW70MXoKHudxNx7xJfZR73Jo2RDiWjCWuD77PjsVt1yGYbknvNf/Jq1apFixYtmD17tkthOHC4R4YMGcIvv/wCOFJ/Z82apbRKkCSJiooKJk6ciFqtVmJs3N3dlQrEHTt25KWXXgJQCviZTCY6duzoso5HHnlEicOxWq0sXbqUcePG8WzdYO7fexqNRkNERESVlgirVq1S2hWMGjUKjUaDl5cXS5YsASAjI4P27dvTplMbxnw4hqYtmtIh9FJMhcFgwNvbW2kBYbPZiIqKIj09vUp7A5VKxcaNG2nd2hEi6+wF1bVrVwIDL2W/OS1EXl5edOrUiaVLlyr7quvwfb3YTGUUJW8DSYWk1iKpNJRlHMVqKsQmS+QklXDnZbV3FH4PlvEO9idx6SZK8vLp/di9N7yWmjCbbNVu9w3WU5RjJLD2JReum5vjsysutnP27MUbtpIERgWTeSCF0LYNrj4YaDgkhqw9SRydtY4GgzriEfh7wcpbsFDNrddXXCAQ/GlcyDPy9Ny9PDRzN57uGpY+340J97X+SwTN4ZzDfLL4PVQaNe8PG19F0Jj3b+Zcv47kLN9HQL8W1Fu3m2emLVRSlCVJIiAggPj4eJJrt0TSgEdtFbh5om8bguoKggYcD2rnQyQ0NJR69ephs9kU94hT0Hh5eeHn50fXrl3p06cParUaWZax2+0sWLCAX3/9ValW64yLKS8vZ/Pmzfj5+REfH0/z5s3p3bs3BoOBRx99lNq1a+Pu7k5AQACJiYnccccdSJKE3W5XgkjnpObipVVjtVqJiIggKiqKqKgopV1BWVkZM2bMUK6nskjJyMggLS0NnU5HdmY27z72Lt5u3mSUZnA5zhYQYWFhaLVa2rVrR2pqqouLLDo6GlmWkWWZkpISHnnkEWU9zrgkT09PvLy8WLZsGT179kSSJEaNGqXcq5iYGFQqFSNGjODw4cNV1nEtaNPVoHbEg9gqyrEa8/FtGEvt2Bc5V2sYRVlBNfd6+v1eN+nSio6DY/EK8L+hNVwNnXv1sTsanbrGYOX3339fyYC7EYK7tKDgxIWrD6xESIfGNBsRx8Xtxzi5cBNJizYTUdDklnM/CVEjEAgoM1v5z9qT9PlyM4dSi5j0QBt+eqYLrWr7/iXn35K2hW9++gwPfy/GD/mCMM9LDyJnIb2zDz+NvdxK3YnvETzxJyQPRyE150M7IyODhIQENBoN9zz7MmETvuRtqwp980BUGpWL6KnpIeosYBcWFsa2bdtQqVRMmjSJ5ORkBgwYQEREBBaLBTc3N7y8vHjhhRcU4VIZNzc31q5dS3x8PEFBQXh4eKBSqbjzzjux2Wz89ttvnDlzBqPRqFhmvL29MRqNzJ8/H5VKpaRkT5s2jaioKFZmFRLq7kZsbKyLNQSu3Nn6cpHSuFVjUlNT8bP6kVyYrIwzm82Ul5djMpk4ceIEL774IiUlJRiNxioBw9UJl0WLFiFJEnFxcRw8eJCDBw+SmJhIv379WL9+PcuXL2f+/Pmo1Y6HfEhICPPmzUOr1TJw4MBr/VVxQa32wKd+J3yiuuLXuAd+TXvjHuDIjFt9JAN/vZamYX9uMPuNYi6z4OZxY84Sm8mMtdxc4/6kH7dSp1fL655XpdUQNbgrTR6IpfGwnhysL4lAYYFAcOtgt8ssOXCRT9ecpKjcwjM96vNMbAP0bn/dn4Ylp5aw/rel+DUI4f2+H+KuuWQVsqQcIeOlxyhLKcW3SyQhXy5A5ev6QK/cXLJy5+284nxUOrVLR21n4Orl7hSA9PR0DAaDkvnktESMHTuWVatWodPpaNu2LatWrSIrK4u1a9eydu1awNE9u3Xr1hw8eBBPT0/c3Nx4+OGHiYmJUZpdAi51ac6edQSExsXFoVKpsNsd39onTZqERqNRunlv27aNoqIi/nNPfzbmFtMqIICysjKXdOnJkydX6Wx9uUiZPHkyJSUlmI1moqKiHMIo/dL1V64E3KxZM+X/ly9fjre3N3feeScTJkxQ1lxdOrez6eXlWVHz5s0jMjKStm3bUlxczCeffMKUKVMYM2YM7776MStXruTA1iT8/X+/tzJ4paeg9a2FKjAUSX1tmUpOrDY7a49l8nGgF6UlxVitFqw2KzarFbvdjt1uo6KiwuWYCrOZs4dOIdsdVje7zY5ss5OTms/CYzuR9CpkZLwPZqMu9OXMWUe6P5UCfs+ZIMGeiSRd8tzkn7dxPifTUUnY2ZjUbic3y0LrYe0xmUxkZGRgtVpdrCJOa1/xgXN4pl8SzrLd0ZbBVFROnR5NyTp0FjdPDzyCfHAP8EayWSnNLEQf+seKYDrPL0SNQCC4JThwoYD3lx/nUGohA1qF8Vb/JtT2++t6y8iyzLSD33JsayK12jTk9e5vuBTTK571CRlfzkFSQ+3/ewqv4a9cdc7KWT4hjWtjN1pqFD2X119xPqhff/11MjMzycjIID09nblz5zJlyhTWr1+P2WzGZrMpFYGdFhJnwb24uDgOHTpEs2bN2LJlC0ePHqWkpAQfHx+KiopYtWoVS5cu5bvvvsPX11eJixk9ejSbNm0CXONw1qxZQ6NGjQD4tFUdWvx2kFOnTnHkyBElXbpyxlDldOnLRYozi+nkkZP8tuo3VCoVtT1rk1qcqmRDjRo1iosXL+Ll5UVubi5vv/220h6ioqKCgQMH0qtXr2qFi4+PD8nJydSr55o+XbmCsbe3N3a7XXGZeXt5M2Pu10RFRdG6W0OXTKvssyuxZ9qwndhzSSFIEhXHd2EJGQCAylNX7e/B7rP5lJYWYaqbyvkzp9GoNag0aiS1hFqlRlKpOOV2kYY0Vo5p07crRdn58Ps9VWvUqDRqBjaIZPmxtcR37INaUnG6bAftBz2OWntJaDl/Hx5TS0i/ZzZJv/dR6NbMit1sAbuMzeYQrhLgUZqISq0iPTWd2rVr4+bmpghb52cGsONCCe16R1e5RmNWPnnHL9BwSHesZeWUZ+RhzMgBtYYG8W2r/VxuhFvN/SREjUDwP0ZWsYlPV5/klwMXaRbmzaKnOtOpfvW1SP4sjBYjH238gKKTmbTq3oUn2z7l8sezfMNPXPz0ewz1PQmfuRhNeNU6I05qqmwr2SVki2vMwpXqrzgf1M4Hb1RUFAsWLOC3337jySefZOXKlYSHh5Oenk63bt0wm81EREQorQAyMjJYsWIFgNKFO+myjsp33nknOp2OgIAAsrKylEBbjUaDXq/HaDSyadMmPvzwQw4fPqwUs6tTp45DQEnQt2/fq8agXC5SKltV3vvsPWXeepH12HpxKxHel4oZOmNx7HY78fHx9O3bFx8fHyIiIti4caNLpWInTnHnbCFxuRWpcgVj5/2SZRljuZEzZ0+zZcuWqpWI9V5oW3epci5b4Tk8746psr0yq45kUN+zgkatG9K8ht5QJ9OyXN57+nnh6Ve9qyrgtBcRBkfMTVJ5CcaKXAIDqwbhViuxPKpuku12vt24ltWTv+Djjz+mzu+9nWqqxlwd+hB/9CGONal9vdD5euF7zUdfHRkZ+dbSM4CIqREI/mcwWWx8s/E0cZ9tYtOpHD65tyXLX+z+lwua1JJUXvt5NLln0rnn7od5KvrpKt8G1YEOK4RstVURNJWDTefMmYNKpSI6OpqFCxc6gmx79yW+bz8uZKSi9tHVGP9xtQeIJEnYbDYmTZrE3XffDThcVODI3Dl48CClpaXIsoyHhwf79+9HpVIRHBysdKIODAxEp9Ph5+fHzz//zLx58wgKCiIrK4u+ffsqLq6hQ4cSHBysBP4GBgbSrFkzSktL+fLLLzlx4gTvHUulzGpn4IAByFYrsqXC8bJfucStU6w5537jP28oQcXX8i28cpfxqKgodDqdIlwyMzOV+JvS0lIiIiJc4pI6derEnj17iI2N5dy5c8yZMwebzUZZWZlS3LB169b079+f8+fPX2UlyoquuNdml1l7LJMeUQGo1Nf2vf386YuKleRqZ4x78j1O71p7TfPWRNn2HRQbDKSkpODp6anEGf2TkGUZSRbuJ4FA8A9Dlh1/5MetPEFmkYlRXevyYu+G+HhUX0X0z2R/1n4WLP4ON4OaF4b9myi/KJf9dmMJBR+9SO7SXah14Hf/PdXO44yTcTaeNBgMPPfcc5xKOMQ3735OyJKfmf3LPMDhVqoutTkmJoavv/6aVr/3FzKbzQwbNowff/yxyvmCgoLQ6XRUVFRw6NAh5bwajQZZlikvLyc62uEiyMnJoXHjxqSnpysPrNLSUqXZZe3atYmNjWX9+vUuFiadTseOHTsUseWM15k0aRL//e9/qa+283WDEBp+8hjpnzrcMbJdIi0onJDXv1YePTabDb+wWvgEh2C3uwYxW2wWZGSXoGK1pMZit6BVadm2bRspKSnKeKd4lGWZtLQ0unbtyvfffw9cqhasVqsV91flppeVGTVqlOJeA0cMUp06dcCq4kzKOUVkjRs3ThlTczPFK6cZ7zmXT25pBTENQ8CaVeO4ktwSziY5CimuX72ZmLjOaLRaIuqFovNwrch7+VpsZhO7l3yLJEmUpJ2j08Ov4ulzbTEs5jNnUPv68MEnn/DBJ5+QnJx89YP+Bm7FZpYgRI1AcFtzIqOYD5YfZ+eZPOIaBzHnsY40CPK8+oF/AstTljN13VRq1a7FC/Kj1Peu77K/fNMSLv7rbSylMn7d6/NGsZ7vn3oPnnoPQKlcq9PplDgZZ+PJMU+9SNyAPhS5mwiqFeLy0L7W+iuVY1CcLRHuuusutm3bxoEDB8jLy8OvUqdoZzAxQMuWLYmJiWHKlCl06tSJ1q1bu+x3rqe0tFQJFq5ca2bMmDEcPHiQO+64g9WrV/PGG29gMBiYOnUqGzZsIDY2FvOOX6jY8gNWdW2HhUWSKFq7AbfyMupVcrHY7TbOHz5IaX4u5cXFFObmKu6g9SfXs3nhZpeg4uiQaPZl7auSQg+O+jMajQaVSsVdd93FwoUL6dmzJwsXLgQuBV4fPnyYIUOGuFQbrnzPnAHGGzZsIDo6WnHZOWvVGAye19TrycGVLQerj2QQ7uNOk1Bv8i7m1DjO5l6C5ve4mKGjBlNSUIrVauO3eQk0jWyK1WzDXGbF4K9DZXfNNOr24KX4rsObfsJqqTkTqTJZibsoOneWoJgemDIuUpSdRWZuPunJJ1GrNRTmleIf4urWMl0hy+nPxOl+utViakRFYYHgNiSv1Cy/s+SwXO/NFXLcZxvlDSeqr4D6V2C32+Vv9n0jx0+Ol9/Z8I5cYa2QjYWl8qk1B13Gne3dWj7dpZls2v2bLMuOyrXx8fFyRkaGnJGRIR84cECptDt48GBlTO8ecfKDg+6X69WrJx89elR+7rnnZEmS5I0bN8ojR46UBw8erPyUZVm22Wyyl5eXPGzYMBmQs7OzlTWMHDlSjoiIUMbK8qWKuJIkuVTEvfzlrBoMyMHBwfLatWvliIgIZb9Op5MBWa/XV6m826BBgyrzeXt7y59//rljQHmhLB9dUuWzzXj0Dnnv3S1r/Owvr5Ss99TL7dq3q1LFd+OFjcr4yz8v5/VnZGTIGo1GbtSokcuxzv3Z2dk13rOIiIgq1+jr6yuHhobKBr1BuV+VyVr/S7XXZFwyscbrtdnscodx6+Sxy47JWalJ8vGdq2oc++vOX6vdfmzjgSrbEnbVPM+hjYvlwtz0GvfLsixbK8zykVkz5HNrVsuWigo5P+OinJ9xUbbZrHJm6gXZUlEhy3LV6sY2m022WatW1P4rqLBWyPET75N/Ta7+c/orERWFBYL/USw2O/N2nefLdaeQgbfvbMojXeripvl7wucqbBW8t/k9Dp44yN3d7uap1o6AYK2PFt9GIVzYeYrILo2QzSbK08x41Nah69hXOb66zKWVK1deajxpMmO1XWo82aVLF5dMoNmzZ9eY2lxd/ZXLcQYWN2jQgPPnz2Oz2dDrHRlizqDkdu3aYTKZlMypJUuWkJ2dTb9+/Vy+5ZrNZvR6PXq9HovFoswD0L17d6Kioti2bRsjRozgmWee4d1332XixIm8MmYMnFoLLe+vukCV+oremNmzZ/Pe6Beo17Y9AFa7lS1pW+gV2ctlXF3vupwtOlvj9Ssp4OBSl6e6wOuass0qN7oEKCwsBBxB0rNnznPJ3LpR9l0oILvEzJ0tQ4HcG6yIe/PcLtbycpJ/XoytooJG992Pm7ejUq9f6KVmqiG1K3Wcv8wocj2Bw38Wt5qlRoiam0xqcSphnmEuqakCwV/B5lM5fLjiOCk5pTzQIZJX72hEYA0pr38FhaZCXl3zKhmZGbzY/0XurH+ny/6geqGcWvEThz8Yg9uFM4CEVxfX1NX9+/e7/FHV6XSo1WratWrLdx99g1sdH4rKiqu0CahMTanNe/furbZhY1paGunp6ej1esrLywkMDCQuLo6UlBTatWunuF6c9VkWLlxITEwMUVFRStVhm82Gj48PDRo0oF69eoq7xbnP3d2dlJQUxS1UVFTEqVOnMBqNPPDAA7Rp0+ZS6nlaCkH+9attFy2pVVd9bjsDYEtKTnAwcwslUtVmnu+Pft/FbeTEy8uLkJAQvvnmG0aPHo3VauXs2bN4eniAJFFWXk5oQACLx3+KcfsOLFlZWEtLKdmwEa9ecS6iR5ZlgoKC2LFjh/L5vffee6xevZq6datmt9V4WVLND/pVRzII8dYRHelHbnquy2dw+X02VVTN4gKwmC2knziPSqMmtGFtAErKS7iQdgarzUrdiKgqc8mya5BxRVkZp3/+EVm20/Ce+xQxc1X+QWEsIqZGQG55Lu/Oew1PHy+GxDxEXETcLadyBbceZ3PL+GjlcdafyKZjPX8mPdCd5uHX+Ef0T+J88XleW/EaZpOZj+/9mDbBbVz22/IzuTDkDmwZFozN40CTTdQXr6Dv95DLuLS0NNRqNW5ubpSXl+Pl6YUkw5ETR2nR/1LPJGedlMuDTa+U2uwsGHe5EAoNDSUjI0OJ8cjNzWXx4sUAHD58mBdeeIEJEybQoUMH7HY7JpOJdevWVelY7UxxvlyY+fv7Y7PZOHPmjBJsq9Fo8PT0VCxMLhYQX28oM1b/QUsS0hUePsacQorTNpJb14hBXx9ZtjO44eBqx3aO60ytgFrkZOeg0WjYsGEDAFlZWdx///34+Dh+p+x2O2UmEz4+PnRu3Zrg4GCGvPM2iYmJaENCWLNuHWEDB4BK5ZJiP3ToUNRqtVLfxpktJUkSy5YvoUevLuw5V8DpvDJUEtS1mLm8b3T5sq/BrfqWHXa7zJqjmfRvEYZKJWGxWsjLucDWuRPQ6g3YKsyo3XREtu2Bd0AYZekV7Nt2FIOXB01aX4pjadSlOcYiI2cPJimipmPTrhSXFZGRm4ZO506t0MhL57VZUWscQffmwkKSf/0JlVpD1JChuBkMNd6bfzpOUXOrZT/9/bat24issiyQZSq0NhYt/S8v//wCv537DavdevWDBYLrpMRk4ZNVJ7jjy82cyCjhm4eiWfRU579V0FjsFv575L88t/A5JCS+ue+bKoLGuHouZ+PjMGVYAPA+tomyJjFo28VWmS80NJS4uDgOHz5MYmIid97Rn8KSIspNJpdeRFdqE+Dk8tTm6volAXTs2FFJtR45ciT9+vXDw8ODpk2b0q1bNzQajUtZf0mSiIiI4NChQ7Rr1461a9fStm1bSkpKOHXqFNnZ2XTo0IFDhw6xefNm+vTpgyzLBAcHK+cZPnw4JSUljBw5smrqOXaQLqX8Ws+fpHjGBxR+9SbmCxnVfrsvOpfBmaU7yD96lpA6zQkMiMXDI7LqwEoEeQVRJpXh5+dHQkICW7duBRzZYnq9noiICMLDw+nXrx+nl/zKpk2bCAgIYP/+/eTn51O3bl0lZVujVhMdHc38+fPp168f/fv3x2q1kpWV5ZJeP336dGRZ5vOJ/8HL148xo+6nuTafYdG18fSuJkDWbsej/5PVrv9gWiEZRSb6t3BYotx1eoxJJ+g2/DU6D3mebg++Qsd7nqUoO43Te9bRslRP07ZRZGXkuczj4W0gICIIvdelgPqwkNo0rt+c2kF1sFxWiVi22agoKOTof2dwZtVymj74MM0eHnVFQeOoaux42ay2S6+rpOf/lci/p3TfaghLzU0kz+T4x/HhgE9IKUxhye4f+XHFbJYafqRjhxjubXQvXm7/zD4kglsHu13mp31pTFh7klKzlRd7NeSpHvVx1/69tS4O5Rxi/IbxFOQXENsmlhfbv4hBe+kPu1xeRs6bj5D32zE8wnSEvf4MF979CgkZr6TtnNl5H40HhbvMqdFoXKrXfv7hp8xdOA+NRoPFYiEzM5NnnnlG6f78xRdfMHv2bCXjxpmuXR3XIoTA4fLSaDRIkoS7uztPPvkkd999N9u3b2f37t3IskxqaqpSSM/Z8uCLL75g48aNLF++nD179tC6dWul+u+HH37I//3f/7lUNa6p9UDi+mXUCb70d2P5N8OIzGlHUH4uuIVjMejYNWUuXiHBhDZtTNHpDPShvtQf3BWAjEMXlWO1aj1bTk3F06IhurlDHMh2O8UFZyktzEftoUbnXrdKLI1KpcJms6FWqx2NN2WZkJJSXup/J/1WrkSjVhMZGkq7pk0pLivjvWEP8OmGBN58803Onj2Lj48PFRUV+Pv7s3z5cgDeeust9u7dS1lZGR9/9TX9Y7q7tLCwul/KNLsWVh/JINBTR/u6joJ0AWH1uONfk1zGqFQqmnbuD0DSoi3oDe5otNf+GFSr1djkSzFFqZkpJKWnoMux0vThkai1rqngpUYTh48kkZyUjN9lDTMrW++c/5+ebqVqucG/B8VSc4t5G4SouYnkm/KRkAhwDyC0Vijd7u3Gsbxj/HTwR7ZvWc+urRuo17oZD7R4kEjvK39rEgiqY++5fMYuP86Ri0UMbhPOG/FNCPetpmTpX4gsyyxJ/oVNK78hw7OCKUOn0yygmcsY0841nH30ZQD8ejQg5JslSFo3apUUcvHT7wkb1AJbVB0uHj5LrVau8RVKxWAZyoxlgCOdulatWgBotVp8fHwYP348zZs3x2Aw8O9//1t5OFZOM5YkCT8/P5o3b054eLhLanN147RaLRqNxqWwnDNGJz4+Hp1OR4cOHUhMTARg+PDh7NixA41Gw+jRo3n55Zfp378/a9asITs7m6CgIEpLS3nttdeqBCknJSXRsGFD5b2/vz9FRUWMm/A57731ANmZe/E/n0WBrTFtPQup/c18JHcD6j3HsFr+n70zj4+iPv/4e2bvJJvNnZATQi7CfYQbuURA8cR6VsV61La2VmuttrZqqz+trVatd7VSRQVUBCGA3DeEIxzhDCTkvu/svTszvz82u8mSTQiKra1+Xi9fkt3vzM7OzM73+T7P5/l8XMSPyqZibT6p1030v0AdHBTZbSdbUuG2O2hvLeTonpcQOpL1am0w23buREBB4ShGo9Fn16DReEorp0+fRqVS0dDQgH3CeCwWC++++nefBUTSwIGEJicjt7Qw5aEHEcbmMGXKFBoaGhBFEUVRaGxsZOJEz/F5S25anY7qykp/HlF9z63YPd2DqwtqmDMkFpV4YZNwfGIMR/aeYtjYzPOONdvaiYmI40zpUQ4f20lUZD9uuP3xHgm9nyxbS2iwgRtvvAq9ThtwTFd8sebMBR37Nw1F+O8rP30f1FxENNoaMagNaFSdomaDIwczeOZT1E2oY+nxpRzPP8DT+b8lYmA/5o+8gTGxY/7rIuHv8e9HVYuN59ac5IvDVQxNMPHpfRN8K9L/JIpbi3l982+Qq/KJGTyPl5VhfgGN4nbT9PRPqFu8w/ea9VgJQseKNvTOxwi98zHfe0WbjmJubCMkMhTwkGonjp9AiNHImrVrfOMEQWDKlCn87W9/4//+7/9oaWlh9uzZhIWFYbfbu02OCQkJVFZ6MhbNzc3s3r0blUrVzS/p3HFe4Tm9Xu8zpfRyREaNGsWCBQtYtGhRjyJ6Xk8owOeJ1JVncu5k2NV8s6qqirFjx7J42Upu/PEInLY2du7dy+gyNdWX3opzcz4A2pBgEieNIG/ZRvqFdCcBe1G78wHCB/8UU9Rwzu33CgrO94gUijY+X7cTwGeHkJ2dzYMPPsgXX3zBypUr2blzp48LJAgC2dnZjBw50se5cTgcFBUV8fbbb5OcnMxTTz2F2WzmsssuQ6/X+0jTCxYsoLm5mY2bN2Pv0PDp2klVVd7jV+mGgspWKltsXD6k3/kHn4MBmYkcyjtBxdkaEgf0fP4ALFX1rDu2hbQBQ5h/+Y/Pu+87brmKL1Zt6lNAAyBeYED2TUL5Sp1j/3l8z6m5iGixNhOiDSxsFhMUw/1j7ufFH73B7FnXoquzs3TjQ9yXeyUrzqzAKTkDbvc9vtuwOSVe2lDIjBe2sKuokeevH8aKn036jwc0DsnBG/mv8MrHc3CZ67jh2g95/LKX+b/XP/Wp0AqCQESQnmv+8jHFmk5+hDYuLOA+JUlCEAVaSjpX6VVVVWzfuYM1a9egUqkYMWIEr732GjqdjpKSEubNm0dQUBAhISEMGDCA8PBwampqurUZjxkzxsdfURSFLVu24HQ6ueSSS/yO4dxxs2fPBmDLli0cOnSIvXv3+jgiXln/6dOnc+jQIQ4dOsQVV1yB0+lk9OjRBAUFYTQaKS8vZ9y4cb4xgfbh/f7eiaS5uZl3330XSZIwW+1k97+FIV+WkFoSxejHfsfQq+chqFVkXDGVmJGD2PZhLqOvuASRUErXlVK2vuO/daW0lbcDEDf577SWLOvxmgYHB7Ps1Sd93/32229HpVJx7bXXcvfddxMREcGYMZ7W8D179rB3717uuOMO6uvriYyMZNWqVXz44YesXbuWtLQ0PvjgAxoaGti/fz+ffPIJcXFxfvYKra2trFy5Ekt7O++//VY3CwtRreVQ/goO53/h+/9mVWC+2OqCGiKCtYwd8NV+FyPGDaL0TGWvY2S3hLbMwm3XPcSEkZf1ab+iKCKqLmCa/RYucL9TmZrnnnuOxx57jAceeICXXnoJgLfffpuPPvqI/Px82tvbaW5uJiwsrNf9PPnkkzz11FN+r2VmZnLy5Enf33a7nV/96lcsXrwYh8PB7Nmzef3114mNPZcf/5+Du82J+zxkd71az/zM+VwWMoJj9QV82rCcjw88yrIjzzI+9XZuyLyRSMO/14vne3z7oCgKq45U8+zqEzSYnfxo8gB+Nn0gRv2/39rgXOyt3suHm36D0F5J2pj7uHvET9GrPR0pOo2eCSnRvHP9ZTSt2kOjIPFmsJGf1Dazd+4gQmbOIeTGn3fbZ/GJYxSfPEmyK4rUaVMBT+eS1O6kzW4mPCqcxsoGlr76AXsP7Uej0TBhwgSWLFmC0+ns0dQyUFnAbDZz1113ARATEwN4Sj16vd7niO0dV1xcTHBwMDk5Ob59de20Avw4P1FRUcyYMYPdu3dzxx13cOedd3LzzTdz8OBBNBqNr8sqULdWVVUVVVVV9OvXD6PRSHp6OqOnjKa1uoW4+GSOtlkJd9nRjZqKDnBsN3Ny1xEaKqqZdus8RLWK/pd3b40+kV8AgKDSEtb/ehoOv0jk0F8iiKJHx+Xwx9BWBRYLKP62CoIg+DhHLpeLhoYGH9FaFEU/d+5AnKDVq1fzySefkJKSwsqVK32+UOApPxmNRh584immXXYZwTaLX0fa0GFzun2Xyvbd3V5TFIU1R6uZPTgW9QUEEA6HfyZCq9Oya2O+j3ftKGkje1qX85i7kfjhg/u8/67H99+I7xynZt++fbz11lvdiHhWq5U5c+YwZ84cHnvssR627o7BgwezYcOGzgNT+x/agw8+SG5uLp988gkmk4n777+f6667jp07d37Vr3DRIdmciEF9O6WK282QmGGMH3ENxa3FLDm+kJ2n32JH4Zukx1/BzdkLyIw4f433e/zv4WhlK0+tPMa+kmZmZcfyu8sH0T/qP98a2mJv4dXdz9B0YhmafsO57/J/dPNuchzKQ99sp+VsCakjE5jw8iIiC0uZMmUKqmfyCekgxXphtZjZvXE98UnJXHrtfJpOlVG18yjxk4YAoDJqsdVa0Gq1OFwOSpRa3lz8jk88z2g0smTJEsATzISFhTFixAiSkpJ8kyN0d/I2GAxMmDDBpytTU1PDlVdeyZYtW7qNGzt2rF9wdD6CcXBwMCqVCoPBQE5ODgBOp9MnPtc14+Hdx8KFCwFYtGgRer0eWZbJz88nOjaatavXIooiVkMUxooTvs+prpIYMjKCrIk9k6HPhS5qKIJaT2PBSwiCCIKAJjIDQuNx2GqpCR0ONTU0NzeTl5eH2+3m9ddf56233groT9XVnbtrcAfdAzdve70XCxYsoKWlhTvu+wkAA4J0PbbmexFIO+V4dRuljVb+dPWQPp8HAJ3Of7LOuWSo39+l6/wNNtUqLXEjLvyZXFNZhd3h7HMJ6tsCbzD2ncjUmM1mbr311oA33i9/+UsAP/OyPh2IWu1ToTwXra2tvPvuu3z00UfMmOFRwnzvvfcYNGgQe/bsYfz47p4l/wm47U60kX0TO1MkN4LeoyiaakrlsQl/pNXxKz49tZSdRe/xxPrlxISNZn72PUxJnILYi+DU9/jfQIPZwV+/PMWS/eWkRYfwwV1jmZIeff4Nv2EoisLKoi/YuPUpUNxMmfkc12XM73ZPWtcswtlgQZAVogcloLnzMWxB4Sxa9ExA5d4DO7ZhaWtj6tx5qDvIqBGZyZSVH6C9og5joieLsn7nJt8254rnTZ06lYMHDzJkyBAWLlxITU0Nv/nNb9i/fz/t7e2+bMq5WYSbb76Z/Px8HA4HKSkpxMXFMWTIECoqKti4cSORkZG+cbt372bfvn0kJSXR3NzMq6++6iMYexWLvSJ6LS0tHDlyxI+A7MVtt93Gww8/zJkzZ3jooYewWCy8+OKLvPjii4CnyyosLIzhw4f7NGLqa+sZM2YMEwdncl9qLFldumtSMgfTLy3xgq+nNiydqLBO76LGxm0AflkUo9GIVqtl2LBhfPbZZ0CnP9Xs2bNZvXo1ISEhvnORlJTU7XP62l2mFgVaXW7skoygeEo2FqsVl9xh2qlIyIpHFsPR2oLN6uH6iIBKo2ZNQQ0mg4YJA7/ZDPdXzVgkD+jfqwP4txUKHS3d/10xzVcLan72s59xxRVXcOmllwaMpr8KTp8+TXx8PHq9ngkTJvDss8+SnOzpEDpw4AAul4tLL73UNz4rK4vk5GR2794dMKhxOBw4HJ11/La2totynL3B7XChN/TNLFCR3Iga/1KCSWfirmH3cPuQBWwo3cDqE2/yxq77+MAQz8z0u5iRPJOYoJj/unTg/yIURaHR3khZWxlVlipk5cIfWnqVnqFRQwnXxXDt67soa7SgVok8eeVgbh2XfEGp9G8KpW2lvLblUdwVewnPuJz7Jz1BlMHfjVhurqPu1wto3lGMSi+ytcHMyJdykV9Ygc3u6FYKqqkop2BvHqmZWYye7M9psda34Gq1Ijk9k5h3df/Dq26iqqaKtz/6Jw6LjZP7j7Fqx5csXryY8PBwVCoVFouF4OBgFixYwC233OJTBAa6ZREmTpzIokWL/KT7RVFEpVKh0+l8YydNmsT777/P2LEeoT9vS7aXYHz33XdTVFTkCwbAs0D7wx/+QFZWFidOnPCRlT/44AM++OADjEYjiYmeYGTGjBl8+OGHANx7773s3buXvLw8Js2YxOOXZVG2cgs/311M8ZkiHjx9hk0zLqXp49VUlp/BGZ/J3hUlnsmny8zTXFPLlFuuJMgYxOcbi1GUYGqOeNqoUWRPN5T3/4BOP5CFz/2KhY9cB7ZmGH0H0JlJ6Vpa85Kox44d63cuVq5cSW1trS+4Ozf46wkOhwOaGilpt3K4uZnP3nkLs9lM6vRLyWs1o7jqkVs2IOg94ngHzU2EbdyHIAjIioLklti7rZjp4QY2Lt/qR0k5VlPNrPhgPEI+3jc6Mz2nautoXSH7sj+KonD2wBZSx0z3DLC5seeWdGym0NBURtOyJb6xXshON6HWMELjY/w+CcHzcZGNdgp2VnZkxgKchI6NFCCiqIWyczJEvk8SOjYPVM36BqYEh+RgmDX9fz9Ts3jxYvLz89m3b99FO4hx48axcOFCMjMzqa6u5qmnnmLKlCkcPeppLaypqUGr1Xbj5sTGxvp+ROfi2Wef7cbT+aZhd9mI0/aNfS9LEqIq8OnXiBrmDpjL3AFzOVR3iKXH32Flwf+x7MjThGiCiQgeSGz4cDIjssmKyCLVlOrXcfU9vj7sbjvFrcVUm6uptdZSZ62jqbUBa5sZqdWB1WbG0YXcHSgtHm2L4VDwyW6vd4VbHU1dSDCSSiI+cSDPXn4lY+ITUf8HPV8kWeJg3UE2Fq2iumAxcnAUN1z9LyYnTO421rz0VWqefw23TSH25ksIKbIzvbqaN954A2fRDg5WOVixZqOfcm9jTTUDMrMYOLh7uaAsdx8Zt8/0K/c4y9tBgCBDEAnOcAR9BI4BVn4z6Td88MEHtLa20tra6mtBXr58ua/N2JsFAYiMjPTp13i7mgRBwGAwYLV6FHslSWLkyJFAZ5koKCiI++67jxdeeKHb8U6ePJn09HRfx9K9997LypUreeqpp3jqqad8GY+ubd/elu6KigpCQkJ8GeqIiAjS09PZsWMHDskBWhuJqNHp9UyamMOnG7YR/dJfiMgYQs2i9xn9w9kBr1/B5v3ILnfHtVS4ftb0Xq/3zsMnIMgBA6ZAxYEexy1cuJB//vOfhIWFcc899/idj3P5MucGfz1h7dq1JCfEd9tm/pUeS43GpsMYEmcRFOThClkHbWX4wMFEhnoIwSdr2tibZ+G9G3KYnhXjt2/z5v0MnT6mx89u/XINY2d3HtuOJR8w9/6fEhYbuGLQU+FJlmVOr95GSheF665ICfhqYLShInTGt0Puo83ZRnXRGWDqf/pQLggXFNSUl5fzwAMPsH79evT6wFLVXwVz5871/XvYsGGMGzeOlJQUli5d6iP0XSgee+wxHnqoM8Xa1tYWMEV6MWGT7H0W11PcLgT1+QORETEjGBHzKvXWegoaCjjVdJKypiMU16xl39kP0LoUok6qUUclYMwawoCkoWRGZJIZnkn4BYpXfVfR6mjlaMNRDtcfprj8OLUVJdRb6vCGKipBRawYxQhpKLpBYegzQogKjSbRmEiKMYX4kPiAQeXJrUd4dmrPfIdWRyuPrd9CVdE2TAkCtcJpbs1biNHdwqUWJwnZIxkUN4TBEYNJNCZ+oxk6t+wmvzafzUWrqDu1CpuzDYM+nPQxP+ZHI+7DoPbXwpGqS6h9+E5aD9QQ1N9A8l9eRTt0IixY0JkVSYgku/Y4V86/mX5xcTzz6FO89s4bPPvSy3z44Ue+fXmtBZ5//nl0GlV3cq9KQNSrUYfr0WdFIIgCozLHIcsygiBgtVrZuXOnL/shCAKDBg1i5MiR6PV6QkNDqa+v57e//S3PPfccs2fP9rUfjxw5kiVLltDc3MzMmTMxm80oisLmzZt56qmnWLduHdC7qF9XA8cvvviCHTt2MGXKFJ8uTaC27379+jF16lS/a+pyuSgtLSUkJIQIXQRhZQqvHKvFbLPjMJhIS0sjJs3bLt8ZRHfV1wEwhZoYM3oML770IjbH+Z/TMWWrQUiC2MGgD4XGIoj0ZEYcDgc11dUgCL1mX87ly5yLmpoazGaz729FUXj88cd5/PHHcblcJCUlodYZyDvbhKIobC30ZLcUOYN4Qx4ZKZ6gZmhKBkW1Jb6gZnVBDUa9mklpUd0/9AJwfPtmEjIH9xjQ9IZvg+nkN4HvBKfmwIED1NXVMWpUp+mcJEls27aNV199FYfDgUr19VVNw8LCyMjI4MwZjxBRXFwcTqeTlpYWv2xNbW1tjzwcnU6HTvfvM/NTFAWry0qQGOIzT5PcMge2ljJ6agqqc1ySFUlCVPWdOBYdFM2M5Bl+7rpmp5lTBSupjCzkiMFNy/EjbM3byHrJiQCEGSIIzcimf9poBkcNITsymzB92EX6xv998JaMilqKONNyhhOVRyg9c4z69loAgrTBxMWlMGTEJNKjMkkLSyMhJMETHEoKZ9btJOPyS87zKZ1QIaARew5cKxvUHCzSclXiXfzl+mE4ZSd/OHmclLrdNBwvoHjLF+Rb30NQINGqRx41mJTB4xkeM4JhUcN6lA/oK9yym301+8gt2sC6k2ew29v5hVSJZvwPmDnwcoZGDQ3I5Wp792lqXl2E4oZ+987D9MvnPZ00XkguOLHSU97oP5kQbQgqUUVwnImTeUepKi4jZ9RI3nn7bfTBIZitVp9Y3oHcLVTvPUG/sYN8u9PGh6A4JOw2O7V1nmvlnWDdbndAk8nVq1czaNAg3G43BoOBzZs3s3nzZt8+nU4nkZGRJCUl+corkZGRtLd72p+nT5/uUzO2WCwUFBTgdrv9FG8DIZBrtXd/53YGLV68GJfL5RfseLFu3TrWrfNVMNi/fz+jR4/2e75GPPAQOTk56HQ6P32bnbmbeXvxQubNm8df3+n8zoFwYPW79Bs6D/p35CGSxkLpbqg/BW1VrF27nn7x3TMpU6dOpbp6GVptYB6LXHuESHEAYkdXnOPkQdLm/Trg2L3HzrCjsBa32sDcIf38xPMURWHFPgMZXdIdFrudZnMzLZZWth/fyazskV/Jhd5bMnbarTRWljPlpt4zWr3hf5kS8N/23S4oqJk5cyYFBQV+r915551kZWXxm9/85qIENOB5MBQVFXHbbbcBMHr0aDQaDRs3bmT+/PmAR32zrKyMCRO+HaLSDsmBW3Gj7Ihkf11HTVSB1CHR7N9SgrXRxvQbO9sBJacToYfyU18Rog2hv2Ika/hNXBWfCdM8pYOy9jJONZ3iRP1Rao4dYN/yf7BN8qTXw4OjMA4aSlrqaAZHDmZQ5KD/OeuGc4OX4vrTVJadpr6hCovbs1pUC2piwuPJGjKWG/qNZFj0MJKNyT3+gCXFjeKQAr4XCLIs43K6eny/ts3OPe/vJzpOxzPXDkEQBHQqHf2C+zE3cTZS3EzSBmXSZG/ieONxWt96l+0iHPriPXa5rR7l6shE4kZNZsKAS8iJy+mWTQkEl+xib/VeVp3ZwPpTRVicVqKDQ/nB8OHMTb0M6cgxho+/0XMeZRnH/g1oMkYimiJxnT1G7UN3036ihZDMMOJe/AeagUO7fYajtY6asDGe1f3ZKv7+4suYrRauvvpqhk4bjdFowhgVgShLmBvrsZrNXD59Grm5uew5vpegFonaszVkXT4OvdFDpleZdHy54stu5Y1p06ZhMpkCdt0UFhaSmprqyyJ4yz4fffQRTU1NAKxYsQJBEDzy95Ln+t56660sWrTIpw7cr18/H0G5q6if196gL+3kgTqDFi1aRHJyMuvWreORRx7h888/972vVqsZkxDN7W6RMZ9/7guCpk6dyuLFizn16RJMk6fy+OOPs2HDBmbNmuVb4GVnDeKBn93PFddeRWtzA9Bp1nguNEFhxPc/p7CS4nmmLlx2OQsB2muhqQhqCmCcR3BOkuyoVEFERgYuTbRXFaKkTgC9J+hRV/asAXOstI47L58Y8D1BEPyCnFhTNEXVpRSUnqLdIdBktvGzHgT39O0Sx7ccQnK7SR2VQXBEqN/7rg6+1YHcL8i56voej+98+G8kAfcF34lMjdFoZMgQ/zp4cHAwkZGRvte9wkreLEtBQQFGo5Hk5GQiIjwpw5kzZ3Lttddy//33A/Dwww9z5ZVXkpKSQlVVFU888QQqlYqbb74ZAJPJxF133cVDDz1EREQEoaGh/PznP2fChAnfms6ndqdnhaeN1TB2hr9WRFRsCHs3nfV7TWsMxVpbijHRvyX2QuFqrsM0pPPBohJVDDANYIBpAHMGzIGxnhVJeXs5xxqOcbz2CPVHD7Dz4N/ZKHmI1JGhsYQPHUJq4hgGRw1mUMQggjRBX+u4/l0wO82cbDrJqeZTXYKXSixuz6pXJaiJDo0lLjGV4UMmkx6ezsCwgSQZk1CLfb/9XRYbDrvl/AOBqhOlNFbWkzQ4NeD7dpfEve/vRyUKzB4Sh07tvxhwOhzogzznP0IfweSEydT3O8oVN9+HrMiUtJVwuO4wR8v2UbZ7PUfXf8x7gobo9CGkDZ1Cv5B44oLjiAuOIzYoFgGB3dW7yT2ziQ2nirC67MSEhHLzyFHMTb2MQRGDfMHcYY4D4MjfSs2jv8RaZu9yZAoqPST86haMdz3un53pgrXb9/ut7jNS0li6dCnTpk1DURRkSUElCgzJGQd4FjH/+nQZqampTJk9h7CwMCS3ROmOkygo9J88iH+++Q6v3f8chuHRiNrO8+Uls3aFt+tGkqSAAcfUqVPJz89HlmVSUlL4yU9+wmuvvUZ+fj6SJPHhhx/y+eefY7Vau6kD9zULE8j9+9xjBE/pIi0tjdDQUObMmcM777xD//79iY+Px6iDJ6urWfPuC/x22jQWLVpEdXU1ytkitOZ2n61Abm6uX1OE1Wbnk88+JTF5AHGxnd1zsiwjKwpuWUKSFdyKhGytwmptAFlGQabNXMuZsq0BM3RaSx05vuNXo1b3vBgS1HpklxVVR1DT22rfFNT3jLVapeaSwZ5n/isbT6NVq5icHrj0FB0SQ/a0ATSU1nJ4034i+0VTV1FDeHQkoigSI0V2GEq6fL+3rwJFlnv8Lfwv4H86qOkL3nzzTT+Crlex87333mPBggUAFBUV0dDQ4BtTUVHBzTffTGNjI9HR0UyePJk9e/b4VkIAf/vb3xBFkfnz5/uJ731b4A1qNEoPP9BzeKSO5hbCs0YFHnsBkF121PreMy2iIJISmkJKaAqXp14OEzwZndK2Uo42HqX85A7ijm5hS8l6dskuBATCjQnoE3NIix3J4KjBZIZn+gTW/hOwuCycaDzB2bazVLRV0NzQgK2mlQZLPYIsMKQsnLNp1cQkf73gpSfow4zoQ/uW0bK0mEnLGYTB1F1bRlEUHltWwMmadj69byJHmqu7jXE7XejCAt9HoiCSakol1ZTKtenXosxQKGkrYWflTgoOr+fAF+/6AjoU0EhwMqw/LYYg+oWGcdvoHOamziYjPCPgRKM3GCl65BZcq/JRhwj0+/E8XFUVNK8/SMigWGJeWIg6vrvAmxcLn/k5C199HkJifN/XfrIJwyDP5HZiyyFCo0ws+XQpISEhnrKt1UpMTAwffvgh9fX1CIKAyWQiddpg7O02ijcWoDPqSByfGZC/0LWluivvw+sqHajs41UerqmpIS8vj6CgICRJYtCgQZSUlHDHHXdQVlbG6tWrGTNmjI9M3NcszLlaK4GO0e12+5XPdTod/fr1QxAENBoNQngYdYVljH5rCbzl6bo5c7qQ+IkdhO3Hfo9Op0OlUrFu3Tq/4C02NpbVq1eTW3yWg5t3ER3sWVCKgFpUIQoioiASGxONdDoXAU8guLWxgOtH3U9CaHf+4baKbTTYGlAUBUlxU99WhFkwIapMJJ4zXttvAo7qXWiMN3bbjyy5kV0O1Hrv76P3SdNZV0XryZ2ecR33rKDWcGRfAUONrvMauUYkRTMufiqyJDEwJwu11lMSLlmzl7P5++g/dESv258PiiTDt8je4GIhUPPDfwO+9tP+XD2aJ598kieffLLXbUpKSvz+9tbDe4Ner+e1117jtddeu8Aj/PfA7DKjl4LQ9oH8CyD+hx2VVaKK1LBUUsNScRsG4zbmcPXkaylqKeJ443EKaw9iK89j18kv2K5IiIJIWGgyQYk5pMeOZHDkYNLD09FeAC+or3DJLo41HONw/WFKKs9gqWyhwVpPnDOKIFlPc5gFnSmYqIxEJsfMYlDkIBKFWCq/PETSxNHoTV+PaxIIktuNpbGpT2NbW1tJDxDQALy9rZjPD1byys0jGZpoYltjld/7CiC3tkB0YK6C4naDKPpWhoIg+DJzZP8QAKvLSq21lhpLDZ8fXcKwI8FccesdpIelIwhCN2JpREQEo7PSeCzRQFxhLcXp0QyfmU3U0/9ANHmOo89qOe01EN8ZrLuqLB5OjKLQXlCHOlyPRq9l+vTpPPTQQ6SmptLW1sbrr7/OrbfeytKlS/2yG3qjAXVGGy3tJRgaKxA6OEqhxqE+PkdPXTcrV670a0mGzrKP0Wjksssuo6WlhUWLFvnKUunp6VRUVGAwGHzqwLt27fKpA/c1C9NVn2XHjh3d2r5DQ0MZM2YMJSUlfsFlUFAQLpcLrVbLmfpmDAYDqxb9k3f/+mc+2n2IDukW9IKAXVEwhoQgqlS0trZy6NAhACpLyvnLs3/m0hmXcs9vbufZ617sM5m1+PQy6GHs8Ojh1Fi6dJtqE2myVvH34i1ckTAcVdftFIWE0hKSI8qIiers5qnZtwJ3ez3u5gqMg2cRmTXpvMekrlbBwA71Y0UCRCprGmhqqGd62/lLwqIoggiqc565rjYbNafPMOUXX60ZxQvZ7b5o1ItvE3xBzX9ZvPa9oeVFglt2U2NPIGFI6PkHf9sguRFUatSi2tM5FZEJ6dcC4JJcnG45zdGGoxTVHMRWsZdtx5exWZFQCSrCwlIIThxPZuwIBkcOJjUstVdybMCPlyVONp8kryqPbZXbsJe1EuTSoRW1GCPDicyKZ1L0pQy2DyRWjMGYHRNwPwPnT+bsqj1EDE4mPP3idbrJbonGkioUQaAirwBbSyuyy42oEhFEFU5RRBUUgkqtQlSJWNtrqak5SkhIHEFBEb4JZfPJOp5be5KfTR/IVcM95RlqLew4WcvYgVFsbmnHKkloo6MpOVlITEK8b1vXqXwqbpmG9VgNigLB6ZFE3HkPQfMWdDven97zU7+gJTTEyJcbDvh17XiJpe6KIgoevJc/HzzGrfsc7LtzNtqMSGJ+9a9u++0TUibC2a2QOg3wtGMHDYvCdrieWm0LqRkeF+rg4GBSU1PJzPTwObzZjY8//pipUzvLqceOLcNkSmTYsNt9rymKTGtrPi2t+3vtulm5cmW317wBxOnTpykuLkZRFIxGI7GxsYwePZqCggI/Yb3g4GDUarVPHbivWZiuHULntn3X1NTw+OOPs3nzZl8ruRdOp0cm4MSJTuXgaxbc6+MPFRQU0NjYyKLBKTgsAp9Eh5KbfwyX241GFEhJHUhaWhqTp1+CyWTi1LFTF9SdY3FZcMvugO+ZdCZMuq7eS55rN6oNrkud0m18pSEWm81fH0ylD8EQPQBT/7upzV9N5eb3CKuzcGRLif/GiuLT3xkYYsGU6c+dXLT5DCf1EkmDugc1x7fvp7m0Cm2lBWb0nFVMv3Eq8qqvn41QabRYm1u/9n6+bfhOcGq+R8+QFInC4BNE9lnO/iLdKO6+k1d7hCT5hLjOhUalITsy2+O8nHkD4NFwKWwu5FjjMYqrD+A8tZr/O/M5DgHUopr+of0ZFTOKYdHDGBw5mAGmAajEzpWM2WnmaONRjtQdYV/NPg43HMbmtqEVtQyJGsLouNHMnXgNWRFZfqUjR2krsjXwAxdAVKsYeM0kKrYexlrbQsLk7iTWnlD8xW5UGpUv4dpeYcMa4yEACqKAPjiY+tZ20pNiiRuegVqvQ3K7USSZ3RvXM370aCSX5AmApJ243XYqK/dSXbOdaVOf5XRNK0c//j0Px6Vwta6Byq15CILAwGoNKUMz2HKilh12G3ZFIWRgMkaTie3Lc9EEGRg9bTLuM4ewnGknbGwi6qhIWrcfoeJ3zxFTeBT92KnoJl7hV9fv2g1z/RVX8eWXX/Lll18C+DSf6urqiHjuEfrXy/xmwTwuf20J2qffI/TwRhS3k7IzRwmLTcIUfgGqxoZwUEDa+gZSu4hu3G3YTjQRNDIG5UxLN/sTL7wGmF0n4LKyXYSExJOYOPacsSJhYWOoq1uLy9WGRtPzQqKnss/o0aNJTk72kXNra2upra3FaDTy9ttvk5WVRWtrq1+Q4z3Oc1Vy+6LP0rXtOy4uzseFufHGG7Hb7YSFhVFZWckbb7zB/v37ufnmm+nfvz9VVVUUFBTwxBNP+AWqdxfXMAQVv7/pMlbsO4JGo0HtdnL24H4UFBQFJNlNQnj/810xP2jtQezZU8BxfeDuLrfLTXCwgfQBKSTF9q7JJQgiSkeHUXDyCKpW/BHCUogeOhOA2FEeLZqE8xyTZVF3gdc1R6uZlhWDvTKfg2s8isghkWHUFZYQkZrIpB9eRfNn28+z56+P+tKzHPjkc4ZODawZ9N8Mn/fT90HNdxPe1U3Xybs3eMWxvi6klouklHwBbXt6tZ5h0cMYFj0Msm5mZ8irPDxsAYWtpznWcIwDdQfYWrGVpYVLAdCKWlJNqUQHRVPUUkSVxVNy0av0ZIRnsGDwAsb3G8/QqKFoVBo25a1lSFQPPi59MIdLnDqcppNlFH+xm/7zxvVppSpqVH7iWaXrShl6WWd5wWF14Ha6MMZ3ZolUajWoQVCJaPRaNB2UI31QMImJHtEvp7ONFquTn/xrD5MNKTx83yOE6Dp/dtWOpZQWtyBZXUwEMgaEU9Nqp6YdSB1FkOhm78ZttBv6kZCsot/7Hn+08LJCym+/nuq3c+HtXFS6X6MJ0yBZ3dgdTlRqHZFtVTRqYoiMjGLcuHHk5eVRUFDAb3/7W/bu3cu8efPYd/lwLHIDn56p8RFg9eOvYO+nL3DaamTCqOEXFtSY6+BULq6GEPS3PwGAu9GOIHqCFi+h1eFw0NjYSE2Hz9Crr76KxWLhBz/4AeCRimhoOMGoUT2XBqKjZ9PcvAtZdhIRMQUxAHcqUMDh7Zjy+j55P0+v19Pe3s4999wD4Gvp9gY5J06c4Nprr6W9vd1nbxAREcHs2bO7adf0eoq6EI51Oh12u4eMHRwcTFxcHFu2bCEtLY0JEybwwQcfkJ6e7ls1e+9lhySzy2Fn9rNvAR61X1VoOIbQcJqbm/n73/+Ow+5k2twZgQ+ip3MqxjFs7CCiwgK7XUuShNVhY+f+gxw95WkGCVWiYVD3sV0nQ1P/YZiUVnA7uw88D8QQfy5bWaOVo5Vt3DcllUFjIgmJMCEIAm31zQyfN42QsH9Ptrxwzw5aamsYPnkOxqRvj7Hyxcb/dEv39+gZUoe7rUroIajpcl+4HRZklzXwuAuEOi4We2Ml+sjzrXe+OSiKQrAuhJExIxkZM5IfdnA7zE4zJ5pOcKzhGPm1+RQ0FjAlYQojYzwt1ANMAy7M00oUoY/dkxFZyQTFhVO8bCdxEwcREn+B4lznBE8uhxO15sJ/LrKicP9HB3HZ2rlxWoZfQAOgUYuMnuThHMiyTGFhI4XH65k5MhrN/oM4J+VwUBlMU/IwYs7u922nTs5gwJYjyC0N2DZ9inXPNlo25OO2gq22kXo0HLzuLqpCo1BVF1BtlUgb0J/s7GzCg/TU19UhKwoD3q7Apij0a29jVW4uTrfExvzT2COnM2GUCa2551ZcP9QchcK14HbAZU+jLjuL6/BuNMMnoArVIrU6GDhwIGfOnMFisbB27VrWrl0LdAYbb775ps+O4OTJXNLTu7s0d4UgCERETEKS7DQ37/SVK0JCBqHTxfRYmuqpY8pgMPgp5Xq5R94gx6sOPGLECNasWeP52h2lpN60a6Dntu9XXnmFVatW+RSOjcbOCdzbQRoTE0NmZiZHjx7FbDbjcrl49+Efk//WYv7a4BGpq66u7sbZ+etf/0riiERONJ5gUGSAqKOHcyr3snBQqVQYg0KYc0lnuWnlnvKAY2VFwu/BJwj0+QfcC9YcrUavEZk+KJbgLr+nsOhzArFvcC7eu+JTQqNjGXv19VTvPobwLbA0udjwBdL/Zb6D3wc1FwmS3BHU9CFTIzlsCO5mLEVf+F4zJF+K+BXaqIOSs3A0lH2toEYIMaFYLn5NOEQbQk5cDjlxOSwYsoC3j7zNvcPuPf/x9LAyEFQCstT3h6I+zEja9VMo+nwn4mQ1QdFhAce5bTbkLi2xHQfh96fT7qL06ElcDieiWoXKKKMPCkKl1mCz+Ld6K4qCJLuRZDebT9ayu9jEomtTiBZ6DxBEUSQry5MVaSutJTo0GO2u/eTYHbScOIJb1+ITdvRtExaFedINxF53H9GAtd2CdeoMDhw5wNRTLQDY3W60gsBHhhAKh2TTWFFNtEqFCHzxyJ3Ic2/jb2+8xYyZl/Ls6wu59arLCA3WY2+upt5ccd7zLK96EDEhB8b/FLSee1idmoVj7SJcKjWa7DHYT3k6oDIyMnjvvfd47rnnSExM9BPIlGWZ06dPM3DgQFyuJozGvt3TKpXep5eiKDLt5uO0tRegVgUTFjbOdz+dS5AODw9nxIgRPpX0c5VyAwVF3oDo3FLSudo152L69OkYjUZfuau6upoxY8YQExPDmDFjiI+Pp7GxEa1Wy9GjR7Hb7YSGhlJWVkZSUhJ5eXm+TjGAW575O+CZt7NDDZxst3H3hGH8+vYbaApP4Kl/fcJLL73EQw89RHlbORtLN5JoTPTw5XqByMWZwFwuJ5WF2xg54bbOF2tP+LhWXwerj9YwLSPGL6D5d8HtdLL944VkT5lBbKqHgK7Iyn9diaYv8IoT/rd9t++DmosEd4eLrFo4/ynVhEQQYg9GHdbxo3C1037o7yCqfQ9gxe3AOOJniNreU6mW4qNE5PS+oj3/wTsRpN6ddL8VUAkgXTixb8DVEyj+dDv9rxqPWu+ZRGW3m5K1uVjr6nA47MSoByJLMmLHistl9y8PSpKGjAmXMWBYOEf3ncIQoiUoRIvb6UTSdRe9W3HsJYpqYV1VOTeODqJMasXqLEO3t2My6rjOh5xqzi1aqFpqcW3ciPamKzF0aN00f/F73BoX5uL96KKzOf3uF4QkxSCkxHF8535CYz2rVHNZBf2GZBJTU051dWe7uFNRuL60BJ1KxCHJ6LQadu7cRVzaYI5XtXHVzXeycsVyKo/tJfTmqwBoF3SsMLsZXLAVq8tJRkwy6YmeSdHZfBJbkYeIK+vshI+8BfDX7BBjklGaapBryhHURmSrix/99J5unVddrQeCgoLIz1/BoEEXVjbxQhBEQo1DwDgEp7OR5ubdRER0CrvNmTOH0NBQli5dSktLC1u2bGHr1q2MGTPmvD5FgdCTds25CA4O9mnRvPfee0iSRFpaGlarlSNHjpCVleUnvgeeEl1OTg5/+ctfmDKlOxE3MkjPQKOBQw2tgEBjeROlizfQogthpFZDbnk5O48WMyojhaSUJCraK/j81GquGHgZ2h64TXDhrbxH6g9RUtgZ/CqKQnjDKUaoWik88CZKR3YmvPwALYoNitZ0fI7n9ZZTMhmJPRN62040oQvbgqDR0GR1IR0/xpyp6dQePgyKBpXoqfuqNCr00WGIoqf1297uoPZALYLKU/pE9EzQCgrIHq6cy9Z3GkBzTTX5q1cw6YYfog/p7LBUFOV/MlPjDWq+z9R8RyHJEi4lg38cqUMnerIeXaULYmraEfKrEEQwmitJkrXoIrN97+vjxvntz9lyhra8ZzHmPIJKH47bUoPkaPFYKwgiICCIaiRrO6IuGrfd4XGBBYRA/jm9QLa0Q1jiV//yfYTSBz5MbxDVokcT4kK3E0WS546hctsRBLGZ9spyBEEkafpMjny5nn6Dh2ORgjm8Lo+ohFiik6Ox1FTy5eoGnBHxaDUqhCobaUlGtHodgkZNeEwsUbEeb61TpWW43W7MZjNtbW20tpVS6Gph43EHQ5LCmR5dRJAqCVlvQBAEwozxxEZlExmRwZH9a7sdr6ARMNxwuS+g8X0PRQRB5JYrr2XZ9g2+10OMYQzMGMotdz3C5fNvRDiRh1qt9k2gDzzwACUlJezfvx+NIYjosDAqKioYk+ORUouIiCArKwtZlmlt7czYOQUNmQmDmD6wP00tdZQ2dk5c9uLVmMZ4ZO+rdjxDyX4PP8XRVsP4GT8FQDPKo1HlWL0Q3ZzbsR1tBPxJzOeWb5KSktAbCjEav76pn1Ybiaz4czh0Oh1LlixhyRKP7ovXpyk3N7fHLMu56IuCcE/wEoZlWUaj0RAZGUlJSQl/+ctfWLhwIQsWLGDTpk2Ul5djs9nYt28fM2fO9JR9jEacTidWq5XnnnuO/Px81qxZg7PjN/HTd95lUkIob/zxdfYc3E1aWhqpiXEcrmjB5pIQ0BLOMF7c9RmXpo5mTA/Cn+dbmdvsdhZ9mktisodf9sMxo0jpd05WLTOAQvD4wKTg1Y5txEzt2X7kVEsUw1JTkJ1O1uVXYNMFMyrDw2E5frCSIcP7oygKbruT1pI6FFlGURTEqFCi+oWgSLKnmqwoPhNTBAFFlmnv4+Ok5Eg+lSeOM33BvQGu83+nnsv5IPN9UPOdhqzIqKLL+NnIRII0Qd2ks6XhiaB4VglH8/dguMyT5i46e4CUpGGoz9G30YaloZ7wBOaj74DsRNCFI+pMKLILFNmn2dDapMe5+Qhyh8Q7skexFRTMde2kTBtM1NDuq6D8V19CHxYOikKQs464nG/ebuKiEM7cSrcSTE+QZZnCnQWYW83oDDrqj+Yz8oqpJF96mW9MaFQUqR0CkZJLYt3CTxnamMGgm0Zz9lA+V41NwOKQWNNQSv8hHl6OIViPuc3iC2qioqLYtWsXBoPBM/HIJpbuGEV6jJE/Xz2O9hN/J3KoRz1bkWWams5Q23CcU2c3kN6q5fcLc4lOyvAdk1RWxfSoQmxxanSRKZ7vqoAoC7TuX4/kaA0YGLz67E+ZNfUAxeVt2JwS7S44a9Gg1nomUr1ej9lsRhtsIjwiEpvVwg9/+EPmzp3LQw89hM1m81PotrpdWDru4za3G1NXfx0B3wSRF5XDNRmXIogiJ0/t4PDBlai1QcT2yyIqIgF1zhxcu9agGTwTV70NtUsgrM2TMQszJPPgLT/j0tzLKd9dSER4CI1tOwhRZWMI75vjfW/obYLuLcsSSMvH67N0PgXhc7fV6XQYjUZGjRqFIAhcc801rFixAsDnNfWDH/yAP/zhD7S2tlJe7uGoiKKILMu+Nu+WlhY0Gs9z4tFHH+32fWbM7uzACdHp2LprF/3CgugX5l/WnpZ5IyuO57E3r7uDfHVNEdFtaiJyQnxZzUAYkNqPSycGtja42FAbTZiSPUHuqnW1pI4YQvKI4QCcrSsgelT6V963ePj8dIFD61aj0miYdOMPA76vSPL/ZqZG/j6o+U7DV3/sIn/eFV3/FFTQZGmkvCCPsOgBFBxaycgx13Xbp6jWEzri/l4/11i+gZTLAgckNXtOdDPS9MIQFsGgH3q0Pzbt2EZxUynh++vR6IykZ05Gpz2/jxDA3oPvYHG09GlsT/oXfYVo0qFIMuYtFVgtNqqrq5AkCU2UAU1Ul+MVRFA864yUoQMJDjciqkQK2isIz8zyDXNarTi68GFUGhXG5FASp48EoF2SEEURo0HEYNIhes+lLGAwdKordzV4tTrdvLN1OUFaNa/fOspjtNdlISeIIpFRGURGdQYxmi3rmDqt88HscKWye/dJzOWHaDy+FpBpT3YQ3KAn6cbH0H+2j7baSpqq9pM9ap4fryMxGmJD9RSJEKJWiNPYWbd+Iw21nSJ/LfXVvgfWO++8w5IlS0hI8Kyhk/snszZ/LRabhSZZIjzJU26yO62UNdSQnOBCrdYgCGoURUIQ1Ij6YF/JKTN9ImZbK6Ko4siOhUTN+gWq6Dgc2xtxtpajClajUmvRZ3gCQrPZzCd/W0FaWhoJ49IQRZHwk1MQxW9GvfpCsiyBAkevz9LTTz/tF7gAzJgxw1dC6rrtvffey8qVK32O312h1+ux2+1s3bqVmTNnolar0Wg0ZGVlsWzZMl/Q9K9//QtFUXC5uvuJ6XQ6xo4dy5///Gfq6+v5w113cKzF0qtI4NXZ47q9BpCfuxGtxUXxqr0obqnz1lU8Qaw2VE/wqGSk/4DfUXWrjfyyFv524/B/y+fJbjc7li4idcRoErN7kYeQFU/J638M32dqvuO4kBsgaeB4GhvP0i9lBLFRKbQ0nD3vNlv3vIgqgKid3KojsK4pqA1aKnYXUnekw2ATBa/vr7m5k0PjMEUyJmUE0aGhmC0tnDq+GcltRxBVJPYfQ1REz4RNp8vG7Cm/P+/xA322K/BqW3T7LJuDYmsVKrUaQ4yeIbMmodH3TdF424rPMLR2tr9bm5opWLmSMTff5Deu66MpVB14FedyudDq/K+FLEvU1hXy5/VVWO1WXr4lG53WjSxfmBAhgE6jQgnrT/SwTtJq26dvg69lPJTQcBmn1cLtt9/BBx+87xsXE9PZcl5dXUVqSmdZ0avB8tZbb5GXl4fNZmPz5s0MHjGYe39+L+32dp54+gk2r+10dg4JM/HOuPE8/cwfQVTTam0lMrTnTjJBFDEGewKWsKSR1K77glB0aEdMICg1HfETDauW9RxYVOypprqqgfqWwwCEx8SSkOrfuWNubaCq+AwZI8/v+yaqgpAkKyqVJ1txIT5NPWnLeNvSvYGLLMu+tut58+YxY8YMv22/+OILX5nrkksuITIykra2Np599lmfo/hrr73GD37wA+bPn8+uXbtITU31KSG/9NJLPsLyuHHjePzxxyktLeXpp5+mpqYGp9OJLMtERkZiMpm4Z+Rg7l+/E7PZ7CcS2BdoNDpMWf2JTg6cJVv54iOYwq9iUFpgX7NvAt6F4tqjNWhUAjMHXZz2aVmWe8zkmVua2PPZEsZfewMhET1zpcBDFO5Jhfm/Gd6O3u+Dmu8ofO1vfegeiAqPJyo83vf31sp1mN1lvrZOL8JDE9BrjCgoGHShjB15d7d9rbZt6/lzhg8kanhgh968FZ2Bg8XpIqQj1RwSHMawER5RLElyU3x2PxUl+3HZzeRMvLXbfv6d1eS2+mbiUhOITTt/V0xjm4V/bTzEkORoJmX0o/HQQS7/xUMASC4XR75YwdjbbkP8CvLmLqcLTZegprHxLCdP7uBgYwhny0oYNmEATUIFu2oVrJKTAw3NXLb3FU+dXxCJsrSQpdJDWApEpqO4zq/doQgKgtL5AF61ahXr16/D4fCs3KMioxk2fBh2uw2NSkfe3j1kZ2UTGm5k+/btSJJEe3s7N998M2q1GrfbkzWbe/lc7Da7L7D424svMGH0EH7341uwuRVaQ1P4/OOPue7a61mxaRn3/+R+Fn+0pOMoHiAiIoKUIWkM+Ps/fDotVdYWtu8+QHJQOgk5wzGE+5PduwYWTQ2NvPHWm77AwtGikHPdDb6xR3dv8Qtqio8fwNJiJjwumuKjB0gdMrrX86bVROB0NmEweIKavvg0BYK3VGU0GlEUBZvNhqIoPo0dm83Ggw8+yC9+8Quf7sy522o0GrZt6/y9zpkzhzFjxtDe3s7//d//+XRrvNe3a+DnRV5eHldeeSVGo5GEhARqampQFIX6+noyMjJob29nRUU9sSEhWMBPJLBPUGt6bYU2moz00ztIiA6s6v1NYk1BDVPSownVX/hCIRAayuswxXYPWCpOHKP44D5m3HEPYi+Eai8URfE1GPwvwTsX9ShT8i3F90HNRYK3/PRVut80adcwedAsv9cUWaaxqRCX04JbsjNqSOB67ldF1xWKU5bQBfCsUqnUpKd5VsOH8lcE3E+r++Lo7XSFrChs3bcOt+TGLbmZPcnTjSO5JL9gIhDK65rZcKiYYL2GBTNH8OGWI5zav49J/eLRhXs6hA5+8ikj589HlmTKDhdjM1uIz0imYP8uWi3nFzN0Od1oOx6sx4+vQ5JctJsu5a8r8/nVrHkkp9Yxq0N8D6DKZmVKl+u7c++rMPo+aDgDjYUk781lV4OHxBgSHcnwWZMoa97H9tNVhAWl0C80C1nwDx8nTx7BW2+9z2OPPU5jYyMDBgxg8eLF5IyawK8fepR5184mpl80v/vd75gyZQpz5sxh1apVmEwm+vfvT2V9JaH6UNavX09rayuvv/46l067hJFDM4mMS+aKex6jqqqeZ3afZuD1d5Kbez1rSpyYG2uYNHYEdy24kkvn3c0bBzaw5bWFzJs3j6ETc1i9pFPQLizMxLhx49FqtX6WBRqNhqlTp1JV5e97NX36dF759Wtk0N/3mrtDMdvlsHFk1zYSBg4kNdsTyJw+vIfa8iJik7oH7o62atpL9mNtKUIblYgh+/qA1zKQQrAXPTl8r1q1yjdm3LhxZGVl8f7777Njxw5fYPLpp5922zY2Nhan08m0adP47LPPsNlsbNiwoUOfqJBt27bxyiuvIEkSkyZNIjg42KeH44VOp8PhcNDe3s7Jk52cmNOnTxMcHIzVaiVcpyU7MpJd1TV+Lep9gagWkXpRKb/kzt9RVXSYfZ+/BQL0y84hZdDYHsf3BX3h2tW12dlX2sTz8/smcNgXVJ8uZeDobL/XCjavx+10cMktC/q+I9v/pku3N1PzvfjedxTeNsivovPQ4OiuESOIIlFRWQFG9x0H1uzE7QycBQiL9S8hnI9421Oa1ihqsFmbUKk0aDTBF+XHPXnEdERBRKvTsSlvDW63G7Va7WkXDpBZkWWZZXtPYjHbiTUFccelI33f5+dXTWDhkxtIv+sOACytrbhkmRO7jqMz6EjISiHI1J+qk2VEmoOYeMPlvv32lIWSZAlJsrFz52LS08fR4I7jwTd2ccXQftw/I40vSuvO/yVVaojNgtgs+hUWk3qNZ/LZvTgXAKtmBhNSJ1LbfpqypgMcSZYYftzznZzOBkJCQsnMzCY0NBRZlnn33Xf58MMPqamvYOXaZRiNRkRR9GUX1q1bh8lkwmKxcOzYMTQ6DRvXbCQjw8Pt+fOffseSxR/TYHYzINoTsAXpNFyjdvDZnvWkpaXx6Izx/GhRf1T6FuLGzaBffDxjpUz6/fQOfnHd3QywZftxSdat/IKlK75g06ZNfp1YNRXVFBWdQa/Xc/bsWVztdrKGD0ZySNz39L1U/KRTzM0UFcHedavRaNUMmzwNjaaTvJo+fDyHtm8kONSEXqen7sBiJIcFQVSh0UdgTBlNRPZsHCdPYys4Cpzfp6krApWqVq9eTUlJCU888QSLFi1ClmWOHz/Obbfd5ieoF2jbDz74gLCwMAAmTpzIb3/7W1588UXWr1/P2LFjmTt3LlOmTKGqqsoX8KlUKoYOHYper2fPnj2+0hd0BjiAn4ZNm9PJnuoahgxKY/r06b7x57bPB4KHlN5z/lUURRLTR5KYPhJZltny8StoowcgdthcAJ0LO8W7jcDmjR+jMwahUnWfcmxVCnkr/AOpzl0otFrNfHnMiEoQmJXtX3qym786T89usRIS3il2eGD1CiLiExgwYkwvW3WHolECPpf+23Eh1YdvE74Pai4SFEWhnzWFzw4WIHaJbH26CF3gDRC8rzdW1rHC7p8JEUURtahGFEVUKhVqUY1KVKFWe4wn1Wo1GlFDS0071WV1iGoV6o7/VCho1Sos9TVMueUqBJX6gmwQAsFpbQ74elhIPMcKv0BW3Byr3M2d8979Wp8DoNd3kn5jQ3WcOpnH4CGTcDvdBHdx2l16rJAwvZaSNjO1bg2/v3RUoN0BCiqtZzIMNpmINsbjKq8gdmoOQaYQ1DoNycMH0qAWKN+YT2j/OFR6DZLFTXObHY1G9NTNvefCWcuRI6cYP/4mWmwy97y6k9ToYP7yg2EBVzXtzpbzfOPA10at0pIQNpiEsMHUlj+F0mXfKlWnx9iqVasIDQ3F7XZz5swZioqKEEWR1atXExsby/jx4zGbzaSmpvLhhx8yfvx4Dh0+xOjRnaUbU5ABp8vTlt4XMq3UcT4SxBCWrdpGfHI0/cNiaW1tJS4urlsH0MaNG1mwYAFarRadqCUjO4vNmzdTVFTERx99hM1u4957fsbjT/3GT8RuwKCRxCUNRBR1OCxOLA4LDRW19B+ejlqtJsyUzPaln2F0FjFo+q1EZncnkRqGDMZWUIDU2upnm9AV8+fPR6/X+2WPNBoN999/P88//3w3M0vomZ8zZcqUgGWuf/3rXzQ2NrJ0qcc+5IYbbkCv1xMXF0dCQgKbN2/ms88+8312dHQ0mZmZbNq0iTvuuMMnwOeFtysqJSWF0tJSNm7cyB133EFFRQWgUHD8NGq1mpFDsrjnh9diCjXy2ntLelc/FoWO7snzQxRF1OZUSiorfceldG2bxrPKl2QJGsK5av4tfdrvudi6/DNWF9QwMS2KsCB/Dp0uuOdgornGQlujPeB7AlBz5jR7ltX5jhtFueCABsBddZyWpY3+P2NF8X/mdg0Ue3kWO4qbCJ3Rvcz/n4BPp+a/LAv1fVBzkSArMmr7Pm4Y/ewFb3v9KP8HsSzLnmyALOGUnEiShEt24Xa7cUkuX1nGLbkZMSyN9jYrsiThdstIbgnr6s+JHz6OtJJ11G1pRjmn60jo+IHtqLRTGZ3DfkVN/f4Sz3tdAi4/75b2CKxbOrs3On+zndLkgsvJ/21ci2A4TWRI93bQk5V57LB3rjTPDQC6PrA9pnwKUaYUUus8qzinw4kgihytqWdHVS0zk+NpcTi4bGB/Xuk4/nNRUlZN+qzLOfnJx+jDwlEkN4IgkjBjOnaznbOb9iBLEm01tYz+0Q9QabW47Q4crWayY/tTXtGGW5KJPHKMvPoiZBrRhuwg5OxIatnJpwcqmKV28sORKZiP7MQMyA49XSooCKL/uXDZGjzfUZaxLnwEVXpn91p14VHe2BVMTBdxLwDRJuCKctPYuBVZduB0qqipqcFmszF27FhfwJKVlUV2djbLly8HPEaN69evB+DYsWP89a9/paCggLKyMmocNfzoRz/itttu46XHH+fz7dupqqoiJibGT7ivvr6BCRMm+NqQV65ayZfrvkQlqnxBz6N/v4v8ldV+xzxr1izUAmzbuYsxY8agVqvZuGEjVltnyXLOnDkMGjSIDz74gDUrviAhth9ndhyhWBR9CwIBAZVGjVqrQaVRow8OYu0bHxPRL464gcnMvefHABx+63X0ETEEx3UPWgxDh/LWH/7AO88/jy49nQULFlBbW+vX3XTllVf6skcPPPAAdXV1qNVqXxBwbqmqJ37O6dOnGTDAX0ZBEAQfl0mlUqEoCu3t7YSEhLBq1SpefvllVCoVd999N83NzVRUVHD27Fl2797NiRMnfAFNYmIizc3NtLW1sWDBAhYtWkRLSwtpaWlMmzaNIUOGUFFRQZBKIHFgOvHx8QQHB/OnlxdSVlbGmx+tory83PfbOzd7IyD2SNQPhNiwMDKHjzjvuL3l5j7v81xoI2Jo2bafO266qs/b1JW2IcsKKYN7JvlKrtEMGNE7J6tPUClE3Dz36+8HaF72zZtw9hW+oOa/LFOD8h1Ba2urAiitra3fyP6XnlqqXPrGpd/Ivi8UJz/6WFEURbEue6HXcYc3fXLRP3v1icPKkaqygO9tz3vlK+3TsWmZoiiKkp+7Wnl9T76yqbi025hntp0OuO2KVRsVh8PZ6/7bquqUM+t2BnxPkiSlZHuFsuPt7X6vF+fuUR797IiS9ttcZX9Jo997aw5V+P392vF1fn97z4Mjf5PiKNjh997uz14PeBzrbh6uHLtpvKIoinLHHXd4hIi6/KdSqZTw8HBl+vTpitvtVtRqtZKamqpUVFQoKpVKSU5OVq644golKSmp2/ZGo1EZPWiQ8vu77lYAJT4+Xpk9Y4ZSduSIcvqTT5WNf39VEUVRCQoxKrOvuVEZmjNG2bv3Q2Xv3g+VdeveVG6+eY4SFmlU5s+fr6hUKiU4OFhRq9UKoERFRSlzZs1WVCqVotfqfJ9pMBgUURSV4OBgJTg4WAGUuNhYZeOa3F6vVdfrEui1Ay+/qEguV4/bta5b5zuHV199td97c+bMUQClrq5OueOOO5Q5c+Yoy5cvVwBlx44dyk9/+tNu5z0iIkKZPXu2cvjwYUWSJMVoNCrZ2dnKnDlzlOrqaqW6ulq5+uqr/bbRaDRKeHi48tprryk33HCDEhERoaSmpiqAsnnz5oDXN9B5U6lU3d4XRVEROv49e/Zs5eqrr1a2b9+uAEpxcbGSkZGhGPR6ZePn7ynV1dXKwYMHffeFoijKqT2HlPKTxX26BoqiKCcXb/Wdz57Oi6IoSt7yzX3e57n4cE+pcsmv3lVWL/lY2bn6C99/mz//RNm59nC38fXlbUp1Uct591t8cP9XPqauOLPwnxdlP4qiKE2fbbto+/q6OFR3SLnj1RuUU02n/tOHckHz9/eZmosERfn2+H/I3m6a87XifQMEMAVQ95SudLZ/tX06rTg2LsUgl3JfzuyAvJ0Wp5tX9pf6/h4Wa2RaUgSyJKPVnodcvOcQWVfP7PZ67eF6WsrbSRwbR21TJ8/DZW7i+JkSllQF8dz8EYxOCexo3BN8Vhi2NlSRmQHf6wpFllEkBaFDC8Pb3ltbW0toaCitra0899xzXHnllezZs8cv9d+vXz9EUUQURe655x6uueYa7rnnHvbs2cOpU6fYvHkz06ZNw2w28/DDDxNiMCC4XGjcbqIEEf3860hVFHSP/BqruZ0wHejjE8jJ8ZQSFixYwMcfe1SRP/vsM0+5Y+RItFotdqed4JhgNuduIWdMDv0H9Gf37t0sWbKEW2+9lfLycnJzc0lISPA4S7/yMjf+8Hb2HzgQUFulKwKlxEVRJPP6GyletYK0a+YH3E5lMiHbu5ckzGYzxcXFBAcH+4T4uppuzp071+fwrdfrCQ0Npb6+nt/+9rc899xzzJ49m+uuuw6z2UxSUpJfmUuj0WAymRg8eLDPFHPlypX87Gc/832+zWYjJyeHadOmMW3aNF599VVGjx5NeXk5hw4d4tFHH6WmpsbHt3n99dd58sknOXvWXw5ClmVUAoRqROLi4li0aBG5ubkIgkBqaioGg4Gx48YxMGsY5toiRoyY5OddJYiqXonC50JydWaBe1OK/jpYXVBNYlY2c2/wb+GvLS9jy2d5lCYkdKv0aA29T212ixld0IV77f07oHQp3/0n4c3UfN/99B2FrMjfihvx9KefEt8H/xqnw44YoOPp6yJMb6DZFrgjSjiPj1VP0M321Jgd+V/0SER+fqY/qfoP205zpLadIPf5iYQqjabHunHskCiCY4L8SmOHPn+T5RU6Xh2QwAxzIfbNhShuCbtGQT1mPFUuC80OK2pRRCOoONN0iLePnPXtI7iliEmA4rQhaHsWmVNkGcunr3Plb/+PLUUdpZ3FAhEREej1ejIzMzEYDLS1tREXF0d6ejoVFRUMHDgQt9tNUVERqg4CY0lJCddccw0AkydP9t2rl19+OaIo+spI02bOJD8/H5fBQGtUJCUnT/K3v/0Nm81GUFCQz17A45DtOY6JEydy8PBBkhKSfOWOjZs34nK4EAQBt9vNnrw97MnbQ2hoKE888QTZ2dmUlJSwfv16Xyv1u//8J2GmsAvWVumK4Ph47M2B+V8Amrg43B1E4XO5QwaDAafTSWho533q5RN5BRa9hpYGg4HNmzezeXOnps/u3bv55JNPmD/fP6DybhMWFkZLSwvLly/36dbU1NSQnp5OUlIS+fn53Y5n7NixZGRkEBoa6ucNdccdd/hKWqNGjeLo0aPceOONbNu2jaKiIpqdMosWLUKSJHQ6na+F32azsXXrVm7/8YPcc+1o4gYO91NVbi2r65Uo7IWluomiVXtJndtZvgmk6+MNluw2O3s+WwwEIOCfyz/pArtbxnHgDDOzYtmzrLTb+yFhbTh1Tb6/vfe1S4FDh84yYsSIgPstPXKI2rNnKDt6pMtheI5s0ORphMXG9fr9vzn85+cQL7wmzd/r1HxHISvyt6T2KKA1Gs87ymG3ou6javCFIDrEyIm66vMPPA8Uu5WTmz/HGWsiJiGb6MikXscv/GQpYbGdXIpRgGCD1JG9d5DJHT4xPcLb0NHxsCxttLD8WBP2zB9w2YIc1F30KQ7nf0bBtheJSJnBirIaJGQkWebGjOsYF93Zdnxsz8uef7hd0OUaHNvh4awosoxl8cus/nI1+8P74RYExo0YwsLluYTptD7+x549e0hOTu5Gfi0pKek8fEFAo9H4SKVffvklw4YN495772X37t2o1Wq2b9/uI7ouXrwYu91OVVWV3z7Dw8OZNGkS+fn5ZGZm8tJLL1FXV8cPf/hD8vLykGWZAQMG4Fa5mX3nbHJzc7nkkkuIiIhg+fLlxMXFMXXqVNavX4/T6WTDhg1IksQzzzzDM888Q0REBGPGjEHhK2irnIOgyCgs1dUEByAEq+PisOUfBLoTfW+++WbKysr8skc9ifN5Hby9Ga6NGzeyf//+85IqHQ4H8+fPZ9kyT+u7Nwiora1lzJgxLFq0CIBf/vKX5ObmsnXrVl8AGR8fj8vloqmpibvvvpuqqirWr19PQUEBarWa8PBwcnJyKCoqwqgWmDoknWaLjaqWNiqa3Gx64888tyKX3NzNbN++je3bt6E8+DdCIyP5yV+e4fXdW5DKK7hi0OCAx97N5TzUxNjPxvP88893G3uuBYU+KIyxV1248e6SfWUcOGTi9R9dSrRRx/ED+8ke3Unm3b52Nenp3W0SiouLfSrZgaA1GAK2bctuNwe/XIUkSYy9KnC275uF8q3L1PTFpPnbhP+uo/0WQ+HbcSMCONvaMISH01vUL0sSgvjV04qyLGO12TldVEZpSUVHaUSgxdpKbEZgxc+mJihb7zFi7IwjvCrHHX/JCs5DR0hICyIkfhC1FjU2eyvHj57gYG0TJ/Yd8I2tt9mJ7rArMGk0xDZU0tK2ieSuEvD1hRyr79Zl6v0WyJJCc4sB9ZcleBuc9EYt/UZGU1fYjDZIQ1iKZ+Xebnfxp7cWM15s4JGbR/kFNADjR83HvqeES7ImIQZoXZWt7SjWduS2JlxFBbgrTkNwBOKomZSfLUB2u8k2m/n4R3M5HBbDcLWKP0zI4f5mgZKGJvrFx2PSqImLi2PIkCGsXbuWTz75hODgYL8upVdeeYVNmzaRmZnpm7Rvv/12du/eza233sr+/ft9JpY7duzAZDKRlpbGO++8wyeffMKwYcOIiYnp1tmzePFiwsPD2bx5M8OHe8jtKpUKSZJ49IVHqT5SzbHiY+xbsY/g4GDUajUnTpwAICkpiRdeeIGMjAyMRiNSh1fZO++8Q05ODmfOnPH5T12otsq56DdxMlW7djDwqmu6vSdqtSgdVgPnEn0nTZrULXsUSJzvfN1hgbyfHA6H71x5YTAYyMzM5NZbb+Xll1/myJEjvuOJiooiPj6emhoPmfvGG2/khz/8IQ0NDSiKwmWXXcaSJUsICgqiqcmTqXj99dd9wn+zogyI1eUEu2VGqUXKJIlPn38Kq1GDKArMmjWTL7/cwJdffsnHH3/Me4/+gb1799IaLnJq8xKazu4HOrMXQTWt2E+dYkZ2Ni/f5rFXOXakjLdO5ftUlHsSDFSpVBiDjUycPNETANmttDQ2oOrD82d3fgVXhMgU7tpEIaAz6Nnx5Rrf77m1uRlZknwimpIkUVhYSL9+/Xzt8wHRw0JGVKsZfcU11JYUs/lfbzPpxh+i1f97y1TfFhqDW/Fk977vfvqOQlZ6ltz+d6Bq716ajxwhfOhQTL4VZc8ZCLfLgUrTN4sBgE1b8zCbLb6HnCAIaLVa+vdP5Kp5M3w3fnH5cZpbGwLuwxU6kOSJl/b6Oe2lNbToogmePoJg4OzyVYyZMhlSRnLUdYCbcnroVsgZTcGe18m+5FFMUZ0S7sVvPkb1mQLQawhJH4x2qKcu73bbURQZUa1i0MzhRMf3921ja7BSvLmCsMQQbK2eDIckSRRcdwn3RttwtQZx7JErcevVaCTQCCKiSk2wBOE6ibXrP6d/swZLRTXoBFy4cQkSe4T+OJwqBoS0UFe/iTDRTGXVDkIMD+NMCaceI4vCYhglwh8umUTQNfd6ym1rFoAA3p4Us9nMrl27AHzaJKGhoQiCwKxZs3zaJN5J22w209jY6BNn+8c//oHL5aKiosLPzNHb3eN2uwN29ng1b7xtz2azmYSEBNra2njuV8/5xu7f7pkQt23bhslkIjIykn379pGY6LFs6Cped/fdHpVsr0IugKa9lWNbNuByOnE7HUgul1/LsLq1FbmxCcXlwpiQ6JEs8LyL1wbEEN43ntO5AQjAokWLuOGGGzzdQAHE+fpitXCu99Pu3bt9isK//OUvOXLkCA6Hg+XLl/PEE090tGH7c6q8CuPvvPMO77zzjq9rCvArcQmCwB//+EfGjBnD9ddfj8ViYVmN577QqNVERISjiDZK6gRKStuRZQVBpcZoNDK7iwlmVlYWIaYQGmo7f7/e7qjrrh6LPjMTY0sLQx79DQBDgPBlK5k9/yrMjc1+5+WXv/wlhw4dwuFwsPTDJTSVN/Le5/9i3rx5fPj2m1wyd955r02r1cUdW9fzhyuzmTShf4/jamtraWlpQRRFBEFg4MCBaLXnebadZwEa2z+V8Ljb2bV0EVmTpxKX2rNpptL+1biC33Z8z6n5juM/xamR3G4KP/oId2srKddeS2hi4vk3AmztLWgNIecf2AFZlpEkN7NmTiEkuOeylcNlR3MBwdK5aCurJzQ52ve32+lkZ+6XAFiaW6CHoObgjqfpn3mTX0BTsPo1ju01EdmaiSwLCOsPkXhpBZHPLATAbm1HH+Qp1SkuJ4rds7rUB2vJvMK/JXdvQREnR83l8uPbSQyX0deZ0Znt2DUqnIKAG6g3aD2Tbj83rcdqEO0CIQlG9CEmNPowgvvFkBGdgKDVIWj1CDodyTYnb+zZR2OQlql15fxh+lSCr+5uh7Fj7RqSwsM858FiQaVSER4ezvHjxwEPMfN3v/sda9as4fTp05SXl/u17nbF888/j8vlQqfT8cUXX1BXV+cnRJeU1FnqO3fSLywsRK1Wo9VqsdlsqFQqTCYTr3z0ClaXldKSUhb9dREVFRVERkZSW1vb7fNDQkK45JJLUKlUvtZzbxnH2t5G2pAhaPV6NDo9ar0BrVbrk6sv37geXUoqUaPGYGtsICgq+iv87jyBgcPhwGazMX36dJ588kl+9KMfUVRURGRkJHPnzmXDhg0Bxfn6YrXQlV9yblYsKiqKkSNHsnHjRl+AGRQUhMPhYNy4cTzwwAP87Gc/o6mpCUVRiImJ4dJLL+Wjjz4K/G0Uhd//vtN/TaXy6FklJydz+vRpauvqAVjR1qmWvXf/XiZfMhlFUnj33XfJzMzkmmuuYd3GdWh1WkpLPPwVL+H38Sde5fLLryI/P9/vfOt0OoKCgmisrMeUHOOXaRo9ejQbN24kd81q7rzuDh/HpqWLB1tvWH+iFklRmD24Z35LU1MTTqeTzMzMHsd8VWj1eqbdfjf7V31OY3kZg6d2byYAEPpQ7u8zPDH5twLfBzXfcUiKhF7u3Vn48Asvok/weD4JgkcPQhBElHYdmrS0btwObYgOfXgIwVGh6EMNAdOAzadPE5KcTFIfyMFFZwppKd6PWqNBpdGROXb2ebfx4tLpE9iVd5jm1vZegxqXy4lW89Udls3VLcSN7/T6mXFDp3t57MJ/9ridVtuP8OjOiaatqRG5up7QylamvXQL6szR7L3rQXYf0KGb/ys0CTFo4pNQXA6sB47gtinQxVspSN2GwVpHc3AaoBCtD8Eco2fy/MsJv/XBHo9DktwcOfhFN9f11uYGrEWHCR3j/2AMBtSDSnh5VP9ez8vYS6by/N//TpxOS3NzMzNnzqSlpQWHw0FKSgpxcXH85je/YfXq1djtdgwGA3q9nvfff5+2tjZ+9atf+ZR033vvPT7++GNyc3N9K3Wj0UhWVhaffPIJK1eupLa2li0HC6lqbGXy5MmkpaWxcOFCBg0aRGxsLCdPnvQ5S7e3tzN18NTOLMWIOUybNs0voAkKCiIhIcFjWllRwYYNG3C5XN3KOG+98BdiBwT2K3NaLLSUnGXoXfd6zt1X9B9SOkpA3s4mgP379/tW9/n5+Z5zPnYsgwYN4pNPPmFaL7+v3qwWgIBZsdzcXCRJ8gWYoigiyzK7du1i165dqFQqZFlGo9FQV1fHRx99hCiKDB8+nNdee436+nqef/55X8YuLy+PpKQkcnJyqKioQJIkTp8+7efzBaARBIJCQxkzYgzr169n1KhRPPPMM1gsFu666y7OVp1l56adqFQqoqOj/Qi/drudiooKVCqVL6j13jd5+/ZzWXL354koiFSfrSEoOoS/v/QaaWlpmEL7FgSsKahmTEo4saE9P08qKysZOrQXB+0AcFitaPV95xOOmXctRfn72PXJh4yff/M3Xo5RFBmB/3wg8T1R+DsOt+xGUvfeCqlPiCfzppu6vd708WoipvmT82RZxtZqwdpopuFUJS5rYLsDuegkQdnnN3gEUCx1SG01jL7+oT6NPxc2mw1jLwENgMXaRkT813DRVWRUmsC3pct6IT5TLtSxibhVDuz52zEOymHsP16g8Q8/wnr4BLYt7chOTxCTEKfBOG4oDV8e4GzsaFxqAy1iEE6hH5kRBZw0KwzUa9BHX4I4s/v164pjBV+Skd19Redy2FAHCPZ2VjUzJqrnh3zXTMmUIYN95QCTyUR7ezt/+9vfePTRR6moqOAnP/kJAP3796eiooLm5mZfhkHVRcb9sssu49Zbb0WSJEwmE7/85S/9uo1WrlzZ0c7sWf2q1WocDgfTpk3DZDLx8MMPM2XKFPr37090dDTt7e2+LIXZbObee+/1+w4ajYYpU6bw/PPP09bWxpQpU1CpVCQnJ7NunUfQ0VvGufP+X3Bg4uSALd0nPnqfwT9c0OO56iv0g7J549e/ZuHChb7OpHMzRhs3buTUqVPdJrAdO3ZQVFTky1aYTCZCQ0O7ZXPO5Zd0zYq1trbSr18/KioqfAHmkSNHqK+vZ8qUKSxbtszXzn3VVVexe/duhgwZwpYtWzh27Bjx8fFMmDCBiIgIpkyZAsCHH37Io48+yujRo3G73b4AtmtAMyEqFNktkdfS6jvv+/L20WZr4y/v/IXYjFhKzpagN+h9wZfZbOaVF54hPj7al30aPHgwb7zxhu+aLV++HJvDTn1NE/u2ejKH1eV1rN+8FkVR+HT1Uj5a8aGPe9RWXYEsy70GB212F9tPN/DoXA/Rv6GhAb1eT1BQkK/karFY/DhKfUVTVTkRib03HpyLgaNyiEpKZvPCtxk2czbRKQPOv9FXgCCK4JZA/Z8Par7P1HzH4Zbd5/dP6iHiVdzd842iKBIcbiQ43AhpnV0cklPCXGXGWmPF0epAV1FLwt2BzfrORdrwyRxp7l4O6CvsNgfB5wlqzJZWwoyB+Qxftzin7UVX4tx9h0bEIUUZibUfY++yVCZnbECXcylhP/09QYd2AuAqPYO7qgLF7eLUSSt1/WcwNLmVmGEpFL+5gtKEkdyc+RviwoNYfO94HIWN7KpwMbeHbLgkuZFcNoKDTN3ec9qtaHTdz92u2jZ+PbJzAg9EMtXpdGSPHMl7i5egNDfx+OOP+xR/X375ZV5+2dNNpdFoeP755zl27BiRkZHMmjXLN1nfcsstLF68GJPJhNoQyqmadkRBQRBEmlrN7D3bhM0l0WJ1ctPDz/L0314nMTyIOdfehF6xs3z5chYsWEBDQ4NfV4t3cv/zn//M3/72N6xWqy+AmjZtGoWFhWRkZKBWq7n88suZN28eaWlplJSUIIqiXxnn1ZdeYunSJQFbuqt2bCMmewhqw9fv2NPExmA/cdz396pVq9BoNH4BgMlk4vLLL+/VJwk8QUNbWxsRERF+2Zzp06djNBp9bdgOh8OXFVOpVBiNRj799FPmz5/PE088QXm5Rwdp/fr1GLuUM7Zt2+Yjf4PHGqF///4APkdv6LwPumZmvNkfURQZOXIkZ48VUGP3XxwpikJpYSlP/OIJHrY8jE6vw+V0+draLRYL4eFGNmzYwiuvvIJarfYrv7300kseB3K1ml152xnbsTjTaDQYjUZ+98ivGZ6eSlhyKm++9RZz587lpf/7E7Is9fq83HSiDqckM2dIHO3t7bS3t2Oz2aiqqvKdn6CgoF6vTU+wm80YQi68ZGSKjmX6gns5sX0zZ/bn+e59SXLiWPSv3jdWPP5QGT+4sXcuoyiA3HdF528S3xOFv+Nwy25UXyFlGKid2O1003q2jebSdh9Lv7asncSUUESVgD7agCktDH2EjpL6/l/30PuM0DAjNXVNJMX3nPZ3OuwE6S9ijbkreuFOVNoqKD7+KooCJn0Elwy8hYiYDOp/NIKQf+Sz9snNaLQf4XZ6urQ8UAA1CGqMbW1kaQ+gKlY4ub+MioRxBBkaUESBt28bjV6jYvKgKJZt71lI7NT+T8gYGrht1eWwodF7/Jrsbok1pY0UttqoV3V/gJ1LMl2/fj3HDh5EUTwtwDfddBO5uR7jy0WLFvHZZ5/x+eef43K5eOSRR9B06O6sXLmSoI5A0Fsa+e1vf8veE8U4LO189sG7WCxmci65lLAgDWNjI6hrtyMKAlFdbC68WQeHw+E38XfN/rjdbtxuN0FBQUiShCAIREZGUl1dTW1tLRqNBrvdzqeffsqMGTM4c+YM7e3tfvwMU2goDoezm1ib22aj/vgxht/7kx7P/deBNwBpbGzk0UcfZeHChaxfvx6Xy+Xr7OkaaGo0GmbMmOELeLyaM109q4KDgwkNDfVdS0mSSE9PJyEhgaqqKqZOnepH9o2IiKCtrY3IyEh+/etf8/jjj2O326murvbz6IJOArHBYOhW9vJen4iICNLT04mKimLz5s0UFBQwLDyYGruTSUFBHLLbscgyoUYjQcHBvrb+G266gYryChYvW0xsfCwtzS288OdnmDFzKpmDB2C1tbFy5Up0Bi1qVFjtdgRB4Ma5c/m44570BuYul4vfPP57IiIiGJQ2kGee/hOfLF3KZ8u/YM51P/B9l65ikd7/1h4qYUxiEOE6KC4uY/DgwG3m/26Iotgjt+Z8cLS0cOiN1xh86+3oIwPbNyguCfRfnZN4MfF9S/d3HG6l90yN5HL5pRMUtxtX4QFcJw9SXBxJc5eWYpVKwJRkZMC0RFRaz8TRvPosKZcFUFntg7jcxUJiQhyVlbW9BjXQc2Tfqx4M4DTbcJoDG9AFwt6DmzjTfBq1qCItYQYjBk5CFEXO1O/jk8PPYarXM+3Gx3kn7H10x4+SVBLBhFSZoCmzoaOdVNAZ2PK712kL7YdTCIUwI2HpOqrjs3iltT9LbxtDTEdNv6LRRr+YwNmiMxY7y4UE5lQVMyrNfxJSZJnGkgIGjPJ0fj2dX8rNA2OYnhzB4uqmbvs6l2QaGhpKXV0dIwd4rr83aBk1ahS33nor69evZ86cObzzzjtkZGSQkJDA6dOnAU8wExwcjMlkorW1lUceeQR4BENwCJmZmR1icZ2dKDHGc0pkQme3zyOPPOInABccHIxGo0FRFEJDQ33ByO23385HH31EYWEhcXFxVFdX+8oEra2tfP7554wfP57y8nKmT5/OSy+9REtLC88//Sdy12/w47oAnPjoAwbdensPd8FXgzoyEneHSJ83AJFlmblz53LZZZdhMplITExk06ZN2O12P5fxrp5Qx48f98tcnQvvtZRlGbVazejRo30BnbdE5HQ6sdvtuN1u0tLS+NWvfsX69ev58ssvSUxMpKGhgfj4eEpKSvx0lSwWiy+IGT9+PC+++CK///3vOXr0KPX19Rw+fJgbb7wRm82Goijsr/VkaXbZbGREhtLQbKaxvZ229nbS09P9XL+vnH0lpnATQ0cORaPR0NpiZu/OAgBUahWDBmdz9513s2XzFj777DO+3L2b0tJSX9kwPj6eoUOHsnDhQmpqavjtbx/jljvuRBBFYuLjkSSpmwmm999Wp5uDRdXcPj6ZxsZGX9fcxUJbfS1nDx3w95/s8u9u8g+KQuzAdIJCu2dgLwS6sDBG/vTnHH77ddKuvAZjUnL3Qcq3JzMiKd9zar7TkGSJAeUKZZs2IYgiFa+/TuJPf4qg9jhkqw0GRJ0O++61uAoPI+iD0AwcTNDc24gJ2U3KZf0v+DNlWQan4/wDu8BtP3/7oSz7u7PuyjtEfX0jTQ2NTJw8rrdNew1cXM7A9e+24ipOr8onNDGMrJum0vLppwRNmoT2HPE0BWi3WFmz7RAVpWUYQwu5/fpH0J2jypsWnUNq5Gh2n9jDqn0b+OH0m7BOsLHh2AbCL7nZb2zr67/HLhuY/eg89FM8hnn/2FbMX1af4OWbhjE8Kcw3VlIUGlscFNe2o1GLxIcZUKlEDrZaWNPQym/HXkJpTRFL8nJJDY8mJ2MstRVFVBZsI2n4dMKj+/HeiSpuHhjD4MgQDrdZCFV3f2DUWhz8Ja+YJquLY3Wt1NXXIwgCBoMBq9Xq6yzpminR6XT069cPlUrFlVdeyfHjx1m7di11dXW+7EFXDs2f/vQnjlW1Ub5nG58++SyXXj+HsCEju18zt4xebyAtLY1ly5axYMECmpub2bhxI7/85S+pqKigqKiIHTt2dOtCKigo8PvbZDIxbtw4tm/fjtVqpbKyksrKSoYPH47RaGRAchJ/+tOf+P3vf+/LetiaGtEZjWiDg7mY0Kak4CgqCvieN1tw6NAh0tLSfCXAuLg4DAYD27dv92WejEZjQBdzb2eV3W7nxIkTvi4qq9WK0Whk06ZNPnHDrudt586dPuIx4Gv1LikpQaVSkZGRwcmTJ6mrq0Or1RIeHo4gCMTExDBhwgQSExMJDg4mNzcXu93OokWLfJkdlUrFsGHDGD58OLmfLkWDgEGvJzYujp07d3Lfffexbt06HA4HP/7xj7nvvvt4/PHH2bRpEyqVioEDB1JYWIjkljh84DA/P/Bz33E3NzczY8YMX9CrUql83ysuLo5bbrmVNWvWIggCN9x8C1FRUT1em5WHq6h1G7hq4hASIy5MI+bVV1/l888/Z+PGjT2OGT7rcnCYwdEGggrUOjCE9TheMjdyOm8LiekZAD7DT60xAl1Ed4HH3iCq1Qy/736O/fNtEqdMw5Se4XffSJIT2eVG7IFX+O/E95ya7zjcbicaqZmwjEwUWWLEW2/hbG9HkSSc7e2YN60iOkRGSJqC8Y7fXPD+AxVeXK0W1DEX1gGiM0aTv3Yho+YsAGDJrjVMzBhKQkQ8BWXHKWuoo7q5BV1zCCNTshFVIvV1TVx9Zd9Srr2112p1gW83R0MzIdVHMYmh1Ly0B0NiDI7TZ/yCmuP5J9jfJBC04zBXTBtN7hZQB9vZdmQtdW01JIYno9FoiY9MoX+/dERRZNLgib7tQ4NDUDTds1pBM65BWfsWTSuWED/lKjafquPZNSf4ybSBXD3Cn4CdHBlE4aHjHN1diozIGuwE5wzFKsNvB3q62lLiBpISN5DK+lIWbfyUUcEhjJp7JwCnmy04ZZnBkR4CqUNRiOrwpaq1OPjweDVH69s5tHk9BTM9XAGLxYJWq2Xp0qUMHjzYpzTr1XqJiIhAp9ORnJzMz3/+c8xmM5deeimrVq3y8zHyXhtvuUIQBJJW/BXrwj2U9MuhtPkNwl5+u9v5CdGrqajpnj3z7sflclFaWkpwcDA5OTk89dRTvtZoL08lNzfXr6Rjt9u59NJLGTlypB9Jd9/aXN5dvtIv61G+aQP9L7twJdrzQRUaimz2OEd7A5BVq1YRFBSEy+XC7XZTWVnJunXrfHwWL6ZMmUJcXJzPx+rNN9/splPTNduUnZ2NKIooisLKlSt9r3tJ38eOHfPTqVEUBY1Gg8Ph8G03a9Ystm3bxsmTJwGI6fK71+v1fr87i8Xi8YBSqZg2bRq7d+/GarUiSRIHDx7k4MGDvrGCLPHWW2/5/MG8E+y4ceO6lTrfeustFi5c6Ou6W7t2LQUFBb5Sl+yUuGLO5Wg1Wp+kQNfATaPR8OGHH/baSQYer6dhiSaSLjCgAQ+huKiHYNUPpTshNAFQoOYojLi5x6Hi2c1ERYZja6z0vSYgUrlnNVk3/vqCj1EURYbefR9nc1dSc2AfvhQ9YK1xYLSOQ2fqu9yG5HbTerYae1Mr7adq0Uf7l//dNiex47MIie85kAy4347up76IJH6b8H1Qc5GguNzYTWpCEzsnQp3JRPmK5bQU7GHgJeMJmXZdT1ufd/8xKaF8+Y+jzL5niO81e0ML2oheUqKWclp2/h5BFwouGwoSsapgThsz2X48jynZ41BkOFtbQd7pYwBcP8FDZqzYuZXQrChaGmxEHe87xfd8JaZAiByVRdPZRppR0A0MovrIcQakiRQfL+bE0WIABqYncvuDC/y2mzfhZhpb6wgPjaK5rQGX28HWo1/Sv1/PQlm1rbXEmjq7szRZoxmd3Mzu01FkvfY8v6wfztT0aH42bSBOl8TWo3XYHZ5gqKW1DWN0I3OzpyG5nextLcKhsjA7ob/fZ5idbh7d10acnIVNY2D/7hKMOjWHJCdP5XTq6LTbJdaequGwrhGTTsNPRyRxJNpI+PTp/O3lVzlc2cLLf3qcmpJT3Hvvvezdu5eoqChmz57tsxlo7iih1NTU+NqSL7/8cgwGAyNHjqSurg7AT4dm3hVXUP/wTRTutBOZEYbe0kRIW03A86URRUI0iq9U0traysqVK1EUxU/BFmDLli3MmzcPrVZLTk4OlZWVVFVVkZSUxIsvvkh6ejpVVVUoisKUKVNYvnz5edV53VYr2rDwHq/nxUDXAMQb0AA0NjYyZswYYmJiqK2t7SaMN378eAwGQzedGq+FwoIFC6isrAwoSLd69Wo0Gg2PP/6479xC5+/HWwaSZRmdTsfGjRtxu90IgsCLL75ITEwM7733Hhs2bMBut7NixYpuCwpJknw2CyNGjPBl26677jo+/+wzpI6yj5fArFarfVnaH/3oR4B/qXPatGksXLgQq9VKUVERBoMBQRB45plnsNls/PyOn/CrZx71EZkNHaRum82GVqslLCyMH/zgB71eC6vTzeZTdTwwM+MCrmAnnnzySZ588snzDxRVENfxLG33b544N9sjGMKISuu+qGuvKv5Kx+jFgCu6K2eXbT5AS3E1GoMOBaVT+dhbnpMVUECRZKy1LchuNwhgTI5FFxJC9Pw0NMHduyyLVuwk5OoLDGq+Lz99tyHLbh+Rtb20hJqOlsm42bMRjTb04y7rZWsBRZYDmjUe2VyBw+oibUwMEQn+KXhHYyvaSBNSUy2OjQsR1Bo/Z26H8wShOYsRuxhJOlwOag9uJzUohJX7NzE6NYP0+O66IFodhJr0hJr0yIV9T/1bXOaAr8u9MPpFtYrMGy9BlmVqdh1HCDFydvVGigaP46qbZvVYY9ZqdPSL8rRmev9vKNze4+e4JbdfQONFwt8+xPyrX7PymJ2Z0ZVMy85m+9E6FFkhNjKI0QM7M0bl7ZF8Ur6HweHxtLhsXHNOQJNf10ZuWSNvzcpGrxKwOmWsTjdP7Cri4fH+baCSzcUtGXGMiesMTFtrG3HUNfHI40+w5vMlfuNnzJjBkCFDfIJn99xzDy+88AJz585l7dq17Nq1i8jISJ+P0a5du3wrZa+eyJJF75P+9lMcr4hnwORokv78FpU33kKpJYhA6jBtdhfbNm3w7Uet9ijRPvPMM8yZM8fPQmHKlCmsW7eOtLQ09u3b59tHVx2RsrIy4uLiuOqqq1i+fLmfCu2pQ/l8+MlnAb2WvgmIwcG8cuutfq3dYWFh1NbW+si9aWlpWK1WT+Zv0iRCQkJobm4mJiaGtWvXMmfOHCoqKnrUqenaKdRVkG7FihU8/fTTPProo+Tm5hIfH09OTo4va9Xa2kp4eDgqlYojR47w6KOP8vnnn6MoCg8++CDBwcFkZ2cTHh7uC2wBP/KwRqNh3rx57Nmzh9jYWF9Z7fTp08gdk6TXukGj0eDqsI/Q6/WoVCosFovvmNesWROQLD5hwgSysrJ4//332bpqI2kdelvR0dE+DZ2mhkZ+//DvWLdzI/n5+T5z0EDYcqoeu0vm8qH/KUPJvmd7FNlNyZp3cJrbyfhBz9pVXbH5/RUEmUJpqqzGGBWJtksHm4JC7elTjJoyGbVO47GeEUQUQenQrVEQNQKIAoJKJCE7GfX5lJM7d465ppGgmPA+c3ZkRf6vC2jg+6Dm4kGW0bkFTrz0AsGpAxl4192+m6fx2HpUup5TqSHxMZjLSjD271zFlx1vpOpMK/1SQ0nIiGPdP4+jC/K/XM6mVvTlW3CeljBc96sucvEeuPJlv4AGQKfRcc1YD2F1WP/eOgo6V31uZ2cbqNvhpLC0ghpLKzaHg5ysLGK6eKyEaAKnTd2SO2Aas7G1mfxdecRUONCFmIge2p8hP7uO4wcHk04vpONejrwnBGkDXwNJVLMz60oGnv6Cm9d/wci7JqNODrxSTDLGkW1vodzciFVR02xvJVzvCUo2ljdxps3K78d0Bi8hepHCNisT+kcwMMz/85ttLpKMeipam1h4cC2XnNWi0mkIDQ0iKlTPnDlzfCThvLw83G4369ato1+/fj5dFLPZTHFxsa/84z1fp06d6qZB464oovTOmzjjzGToLRlE/vQPAKQGW9iouQzXxiImjUkgxNS50vvJEy/w0aL3fd1Q3sn//vvv943xWihs2LCBkJAQn46ITqfD6XSi1WpxOp0oikJQUBC5ubmIoujTfPEaEkZERDA4M4P29jb+8Y9/8Mc//hHFcWGcsQtB0KhRWPfvx7x9B+76etBofMftJfdqNBoiIyNpb28nODiYmJgYX5YqLS2N6upq7r777m46Nb3BG3R4TR+NRiMqlSqgd1JcXBwZGRksW7aM0NBQ2jsk+S0WC2fOnPFldAYOHMiZM2cAfN1Ybreb48eP+7hLXthsNqZl9mdvYSnjpkwmb99+brjhBurq6ti0aZNfcNbU1MTq1asZPnw4S5cuBTrNP4uKipAkiePHj3Pbbbdh0Buw2Tu3HTduHDk5OTz55JMkJiQiCAKfffZZr0HN6oJqBseHkhJ5cTlUF4K+ZntSr7wPgLO57/R538EmE2OvnkZDRR2S001sarzf+7s+dRORnUqQ8eL6TcVfMoyWwnIaDpxBcroZeO2k824jKRLit8SH6kLwfVBzkSArCoog4GpsJvEXV/lNxopMwCyMF+FZ2ZRv2uIX1Jw90sC4q1LRB3ketHPuHeInX6BIEjTuRz92CtrMnh8SXwWSy+V3vPbqVs7m7gFA1KiplrUMnzgQvUbLnhPHaet40Cb3i0fp4UcgSTIqQcXRM4WUVlR7DEARCAkOYsyEHE5tWsLw6672jbe2W8iraGTZgUIyEjz8Cr0cTJDBUy9uqG0J+DmWGjOf7PsE6L7SiAgKrJ/z7JqTbKxw8qPrbmUVBga+91cinni7G2EaYF35PowaPVf1n4gsy3xYtIXb0meQX9dGYauVnwzx79RwSzJflDbyZI5/lkaWZSqdp9h3oIYRMbGE642o9RASFkpbTZWvY8XhcLBlyxYAX3fR2bNn0ev1zJs3D4vFgsFgYOzYsX7Hea7KrSN/K2fu/zVN+jTGPHY5IXNu8Y01xoQy6mQxQy7pz+68Cqw2F6ZgHePGJnDtyES2FdYTFaIjO94/QO76WYIgkJSUxMaNG5k5cyZlZWW+CVcURQYMGEBxcTGzZs3yZWLAww05fPgw0Gn1YLc7aK6vR3G5UPWiTXQxEDTG4/is/J8SkNzb3t7u0fbpsIYAT7mqa0dOQUFBj6rDDofDV15qaWnxK929+OKL9OvXj6lTp5Kfn8+kSZN47rnn+MMf/sCGDR7j14qKCsLCwhg/fryf0JxKpfLL0JzbHg+e8pPXULQrCgsLqQ8ykK3Xc2rnTqwuN9M2beDzllZMTicO4NaIMO6JiqTO7eL64jKOHDyIdK2nSy4UGNJYz1ngar2GBZERWCIH82DBDqrVLqIiY6iurcZmtbFhvcc0My4yBoPB4FeuPBd2l8Smk3X8bHpaj2O+NtxOOP0lWBs7X/ua8/aFJDOUjuVYVGJ3LuTRLfuJSo6/6AENgCHCiGF8NgAla/b2aRtJlhD/y0jC8H1Qc9GgoODWqkCRkR0OxC4iYee76T2+Np25h4pTTQQZtb6ABugg8XV8liRR88U/ib3mTjTGwBONIjlB1AR873ywNVQiaju3zbpzFmpdZ5qzZn8FUR3iXJd2WXUdLyujUjTx98Ld3ffpdtHe0Ej/qGTmXjKlWwamvdS/Pi1WnmZWzngGDkhE1aGuWbJmL/1neNyhk1cF1otJC05hUs5V3V5fe+Ys5RYbiwpOIClwxzCPFcPS/eW8u+Ms/4o+SP3b+QSFJCJ2nNMXDpcjCqDqmLSrms9w9/CBpId5WjFFUWR8dBqfFh3gZEsEj4/urjL64pFy7h/iTzh2SS5+tusVHhl+G2nDpwHwet4qX1fF+rw8yMsDPGWjnJwcfvGLX7Bjxw4++ugjxo4dy5tvvgl0rpp3797Nvn37SEpK8uPPXHnllVi+eJdTz7yP05TEuBd+jnboRL/jUccnIB9zo3aYmTo5pWO/NtZvOYssK9QJCuOndxanuk7U3s9yuVwkJSWRlpbG9OnTaWlpwWQy8eGHH3L//ffT1tbGxo0bef/99wkPD+cf//hHt3Pl7TJSFIWxY0Zz5uA+XG5Xt3GK241iaUW2tKFY21AsbchWi+ffNiuy1Yxit3r+bbeh2G0odjuyw45id6A4HTjsLtThYcT9+YOOAF4JSO4FD7cmPDycVatWodPpMBgMftmM/fv3c++99/KPf/yjm1jf2rVrfaU7ryBdoNKd3W6nqqqKiRMnolarMZlMZGdnk5eXxxVXXEFtba0vAwaegCU4OBin04nL5aKurs4nthcZGcmoUaNYv349Op2OqKgoUlNTCQkJYc2aNZ7rZrWxDzDqNPzzxlnMG5zKmmWbEYsqECw2jJlJDJ49nixZRvWnfyIpCsweTVSQJ4unX7ENobWdsPRERs/KQWppZcQxiQpZwuqwEhEZwcqVKzl8+DA/+clPCAkPpaaxjpycnG7X04uthfVYnRJzh3yDpSeXBYz9YNDXc4LvCkWGxoLtiGoNLk0k+vAYQkwhiAFUgXsyPd69bAPx6f1JGfoNBnS+Y+gbZKV31edvK74Pai4SZEVCEAUMAwZ8RdXTzlut5Egj46/uWYa7du1HRF16Y48BDYDkaEHQ9l0ET3I5aDq6H9npRGMyEZ7d+fDpGtBAz6Wf7ORkspMDaC8A1dY2NgcVM7h/YBKvMSXV7+9QnYqkKKMvoOkrSkUNpw4fRyeKvmyQW1EYGhXOnDTPOf2wwNNBcqC0icc/P8pr8pccP9RGhM7AfcPDCL33SQDUosCDwzu/z+5TtbTUN0JY52vpYcl8eug0j0zq7j+zrqyR7LAgogz+50+j0jAiahhpoZ2rNUEQeeatv7Fm2ya/sVarlaNHj3Lbbbf5VvUqlcpPiXfixIl88MEHjB07FvD3cRpxZC0FHx5CHxtOzjsvoYrpLg+vSRwAnMZ99pgv4AkPNzDnUk8gU1PSgvtYI6q0MMB/ovZ+ltdCwYtVq1YhCAKSJPGXv/zFRwBWqVR+GaS6ujrfvkJCQjAYDMTFxXHbXXejyBIbN62n65mt+P09nNpRhBCAkH44LYuIxi66P4LgIVgKgKAgiqCIIoKoR5Q0tFq1/LihElVMEm/99nd8uGZNN3Jv11IL+Ov+eL9LV9LvvHnzfBk1L2HYi7S0NIqKivj5zz2t0BEREYwZMwZBEBg2bBgDBgzwKTd7g8Ldu3f7GVmq1WoWL17M/PnzMZvNjBo1yqdJ5M0strW1sXnzZn71q1/xwgsv+D7Ly9fxcrAA2h0uHvxyH/+qdUFYPC1SBZKsMPPhJ7nrgw982wCMf3c1I0aM4IEHHmDNy58iKQpv5B3jjbxjRISHobJ4gi5FUWhsbGTixIkdl0HAZDKh1+s5evRot+vmxZqCarLijKRG973z56LAGA9nNnSavHeFAuh6f44mzbgJa9VpJKeDup1foiSPx2Y2e0i9+AcyMf27W9rsX7WNhMxUkgendnvvQpG/5gscVmu3rJ2iKL7XXOWBeY9+4wFjox2966stjP+T+FpBzXPPPcdjjz3GAw88wEsvvQTA22+/zUcffUR+fj7t7e00NzcT1oVz8VX2CR7J9a1bt/qN/fGPf+xbsf7HISmeh6ggdPM1US5Q9VofrEatDXxpGvduIXhQTq8BDYDsaOrGpwkEc/VZzGVnEUSRiCGj0Ri+GTVgl+JG1UO7t8tp7yYdboiKwlJbgy48cMmovaaOwtXbUMx1aINbAE9GzFjZwC1z5573eKpabPz4g3yuNtbRvqcc++B0xj70OK0aLW0Wp0et/JyJc0LmGLYd28PR0hMMSek03fxJzmi2Hs9j1vAp2O0uio830F5nZreliXHDY4BozoXSQ2g4Z84cXvvFL/j1X/5CeVMTweHhPvPIroTcrli4cCHLly/3EYfBk82o//XNHM2Tic40kvH2vxD0gdPa6pR04DTuklPdsjgAcf3DUBQFZ2kbbzz2Im8+9iK69HAPkbEDCxYsoLa2lpqaGmw2G2PHjqWmpoazZ8/y5z//mfz8fC677DIuv/xyXwapsbGRkpIS9HrP6t9sNmM0Gju7n0SRc2OXttJKwlxtpN0yF8EQhKgPQggKRtQHU+4ycFO8CdEQghBsQggKQQwJA62+W/m3fdELLPtsL44D2SwaiQAA/mZJREFUW9AMyPZlyaC7C/epU6fQ6/WkpqZy6tQp3/f16vV0Jf2eqyx8LgKX2zzCe94MmM1mo729nYSEBARBIDc3lxUrVvD222/jdru5/vpOWxRvG3ZWVhbp6eksX77cp0e0adMmjEaj37PIy8HyuoJLkkRLS4uvxOlFV7VjL4nYO27r1q1otVqMRiM7duwAoHDfLm6/56dIikJ7e7uPgAyeCfXAgQOARwH7hhtu6GZv4HBLbDhRxz1Tvv7E3iskN4jnPFtjsz3/fUWoDSGEDvRoPLmqqoiZPqbP27bUNKLR6y5KQAPgtNmYML93f7q+YsP+g1Rs70N7/LcMXzmo2bdvH2+99Va3m9NqtTJnzhzmzJnDY489dlH26cU999zDH//4R9/fQd9wvf1CICODIBI/53JKly5mwE23nH+jnvbVQxDksrTjbqkncuy08+/D0YrQS1DTdPggTnsz+qgY4sbN+IpH2nc4ZQltD3oHdmsbmiD/1ZkhJgZbXR1kdT5suoZEY+6+Adkt4d7+Bdrpd/teb8lfEbCTTHE5cexZiyo2kVqryI8Wb0erUvFA4ce8GZ7N4OvuZE+jFQUrnq5JhbnJ3RViLxk8njUHtxCsNzAgtj/2phpcJWewF7nIqy9GpVaRnBmJuraGR68YyWN5B6m32mlzOvnxiGxUoqpHfpWA8P/snXd4HNXV/z8zs72pV1vVvfeOjRvY9B5qQkl/UyDlF17S3nTyJnlTCQESAgRCh9DcwA0b9y5ZLrJlSZatXlfbd8rvj5VWWu2utJJlQhK+z+PH2pk7d+7Ozsw995zv+R4MRiPFV1yB/aWXyPT7efD732fJ8uUUFhaGCbkVFRVR4Z/eRFW1o4Xaz1zP6fp8xlxqJ/enj4bPqfk8qG2NoDcg6I0IBhO6wgnAWoI18VNUBUHAWBjyxKh+BW9JE+ZJ6Qj6nu/S24PTHUIBePDBHl2mjRs3hvknn/nMZ1AUJUyKdTgcCILAZZddxsGDBykoKEDXhyhsUgM47RaS/uvHUWPUlZ7AOGV83O8Q0TZrBEG9nleeeAeXZTM3mNqwXXJJeH/fGlwANTU1lJSURLyfur1Od955Z9ijkpmZGdag6a92VO9wW2trK8eOHQtfP4DNmzeHU/RzcnIwm80Eg0Fef/11AI4dO8Z3vvMdZFmmubmZY8eORazQS0pKWLRoEdu3b6e2thar1YrH48FoNIZLWGzZsoWlS5eGycW33norLS0tYQXplpYWiouLWbt2LXv37qWmpobFixeTk5NDVVUV06aFwsF2my20aNE0Vq9ejcvlwmAwcPTo0bAu0auvvkpOTk6EN6sbH5xqxuWXL37Wk68DTBemDDyccHe4cGRcXMmCoUIziCD9hxCFXS4Xd955Z8zCcw888ABAlOV/IX12w2KxhOXjP3JQVQRRwJiSQmc/LtaBoGkasl9m39pKBHo8opqqYjv/DuM+/aXEhhPo7NdTIwc7h2TMqKo6JF6drKro4kzmfk8n+j5eBGtWNq3HjkVs6+vbiBWzNtsyaO1oJC0l8j5p+emX2d06A9W1D2HyGGrdqdy5IJk/Vs/nOu0k82dNiOqrLxRZpeJEM6mt+Rw/U4UlvwqDI4nUybO5ZmZPxlBtSRXJozIxmgz8anEoI+n4e49x7Og5NFVBQ2NcsIan33mZu698AkEUQ56CXllmAKrBwLN//WuUBP+ZM2eiwj/dhoJv13oqv/V9GqQxTPvkBFI+992oCTpJb2JCUhb3j1/MGEeXR8GRh9J8YsBrACAaJcxTMvAdb0FKNmIYaY8ItfStfA2h+yY5OZnbb789wgsQy3Oxbt268Htg1MLIe9QgBwjqYqexCgIoqoqUAA/AtOIT3GWxo7Y2su2vL/GBy8S8G5ejCEn4/QG8Xi/Lli3jBz/4AU899RRPP/00BoOBK664ggMHDkSRfn0+X7gS95NPPsnLL7/Mhg0b2LBhQ9jA8fv9ccNtl19+OY2NjeFSDNXV1ZjNZk6cOMFbb73Fo48+Gr6+3car3W7HYrHgdDrx+XykpKTwyCOP8Nprr/H666+TmprKtm3byMzMpLGxMczJCQQC1NXV8eijj7J06dJwFla3enK3p6q7dES3Ds8f//hHnE4no0ePZuHChUybNq0nBf10GdMnzkDVSaSnp7N27dqI671jxw5effVVsrKyYnqz1pbWMzrTxpisHk9xIurAg4arHnKHN7HiQhD0BRJPyx4mxEqAiNlOUxH5D+HUfOlLX+Kqq65i5cqVcQ2Qi9Hn3//+d5577jmys7O55ppr+N73vhfXW+P3+8PZFxCKM19MKKpG/hEnVYYXGPeNwatMdkMQBBbeFMk78TbW0b5zDel33ddFKh4Ysr8Fvam/FcBQkqIhEFSRYkj7DwS37EVWAjH3BbxuDKbIFE59UjIBjztiWyLGVF7eFI6Vvkfa3EihQ31aGlpFFWP2vQXSdfw2Ddyv6JDbvfgX3czhXTVMnTci4kFva2zh1AcHCHp82JoFfFMmMWJUCmMnFwOx3cV+lxd3QwdjLgutYLv7cxjMjJh+VUTbttYKnl77We69+snQBoM+pARsMhGQZWRFITMjg2efe46TJ0/yyCOPoChKeHXdF84//4jjf9mBkDSS+T++B9O8y8L7umsXld37HfzeA/y+1cP/K3uL0h98EWQZTa3Bftu3ErjCIQiSgHlyOnK7D+/RZjwOlbT8Ho5QLDJxrLRnURTDC5Xs7GwefPBB1q5dS0tLKDtlfXY+2Zu2kZGSzMIZU9CnJuPskDl35zJG/n1LRF8mScITlLEbB54kBFHEtCj0eywfNZGD33mIt62jaN+xnvVVteF2+/fvD3OGtm7dSkdHBzk5OVGk3wceeICSkhI++clPsnjxYlavXs0XvvAFrr/+el555RV+/etf09raiiRJMcNtv//97yNKMWRnZ/PNb36TxYsXh710zzzzDBaLBVeXEnI3p8bpdIbfb1/4whcYP348r776Kunp6SxduhSbzUZDQ4/A3N13383f/vY3vvrVr/LNb34zQvSwr3ryO++8Q1JSEm63O4Ib9fvf/z4qBd0oCMwZW8gzzzzDM888Ew7Rbdmyhdtvv51Vq1bxzW9+M8pID8gq7x2r556FhRHnTlgdeDAIeiGOtMM/A3JQxjSM2U4DiZ9uOfQODe21GKTIZ6SmvZo0WyaSIOIJeJhVvABVU+MSmz/KGLRR8+KLL3Lw4MEIca0LRSJ93nHHHRQUFJCbm0tJSQkPPvggJ0+eDLti++Lhhx/mhz/84bCNcSAEJTi6MJsv3HnfsPXZeb4T386/QXYx2dfe129aeF8oMji3vY3qX4O5YDxHhVRIsiArCoqq4KgIUN1ZFX4IRFFElAREnYAoiYiigCgK6AwSkk5EkgQkSaS+vhPZNnjymCPgQzq1nqO170ft83e0kl+v4q0ppeRULZb0UQiaRPrEkI7O8SffxZybjHVEDH5NoCettbV8Nx27n+X4yCvpG9U2L70G9rxB2eQiJh9fw9m02UwxniHnW/+DcfZyWpvc7N1YiSiFrrH+wC6YPILJly3CYrfS/s5ubHMy0Tn6JzFWbTvB6Mtjhxt6o7f35D7+itVhxyzpmT17No995Sv8qKvydmNTE6tWrcJmszFhwoSwR0ZprEFMHxHy8sgyTf/vTk7shawiE2P+/CSiPdKg7Z4wG0x2MouK+O4d32Dx4sUEb/8GqUIQtek8upGx5Pf6hy7ZRFBQqNhzmGZvG6Io4nQ6Y5KJY6U9q6oaNn7OnTvHF78YqsTdrTybkZ3J9dPHU3u+ltffepvUKUsxnXgHtSV6kWKWJDzBYEJGTW8YJs5j3msb4dplTFo0k7crz0d5m1wuF9/85jfZtGkTJ0+e5L777ovQ60lPT2fGjBls2rSJU6dOkZeXx7p16xg9ejRLly7FYDCwZs0alixZwpNPhozY7uynK664IoonJctyzEKZbrc7ovK6xWJBEARycnJQVZW6urrweL/xjW/E/c6SJHHXXXfx7W9/O2ocvbk9c+fOpbi4mL///e/86U9/Ys+ePeF2vYUTm0+V8YnrbmHP6bPhLLy+6tPdKex962TtrGjG6ZO5YkpkHaWE1YGHgHObNmAyaggGc0jMThARRIlQiqmAJa8YY+rgFHhDGJwRoMgyOsPwkXH7K1PjC3qpbavhzuWxq90rioyqqeh1BnaXbabixGE6rR9eweThwqCMmpqaGu6//37ee++98GrjQpFon5/73OfCf0+ZMoWcnBxWrFhBRUUFo0ZFv4wfeughvv71r4c/O51O8vKiMz+GDb3Y5VEIDFxEUutV/6OptAn32U6M6RZS03MxLh6Y+NqNxuaznKvcQ1tVLZPn301WXhG+5hp8L25kwb03oJf0SKKENFmHKIgIYojIrKoasqyiyCqyoqKpGoqsEgyqKLKCImsEgwreVCOdpvjGVXXH2ZBokyAiCRJ6yYBe1NHuamfBjE+RkZob91iA3K2v4ms5z5ib7g9vM+cmU3jF3Ki2iqzgbA/i3/JXAKwFM5DSitEM0cJdNZXVAAiFoxn78hrGqUqo2GgXUjOszL+85z5qqSsj7cpLe8YwpRDfkTPYFsc3WM4dqCBtfE5UxlaPAXNP6FwpyRiNJhbOm8f/++5VzJ/9WVbeci1lH+yjec8eZuzZQ2pqKqtWreLhhx9m8eLF3H///WEPZvufvs9bL5UwIU9l1h/+SvV9N1PVPJLxi/Vk/+yFfo1fVRDxycHwhGl6/xWOPL4fzZBMqu2H5Pz455jGTo57fCycPXqG6ZfMwtCV7vvKK69QWVmJoiiMGjUKXT/exd7hGAiRUn/xi1+wfHko7JTaVdhPevNxTpzsxCcauNQqkfvI36P6Mut0eIJDewkLoogxw44r2PMMD1TCoS/WrFmDoiiUlpZSUlISbu/xeMIie8nJyREk5O7QzqlTpygrK4tQ7c3MzOTZZ58Ne+m6FyDdmWNWqxVZltE0jdrakHepW59IVdWw8ZOenh42HL/4xS+GDbWnnnqKN998kzlz5vDwww/zyiuvUF5eTmlpaQQ3SpZlXn31VW666SY++9nPhsdbVFQU/i5FVh0zzGbecjrDWXjx1Kf7KkavLa2jKN3K+OyLk6QQC3o8JE1bgRLwg6aFwsKqCqoCqobrVAntrnYEhDCpP5bXoi/h3+XWM5hqfHJQRjfIDM9+0Y+n5oMTmxFU6PR0YLdE84okSUf3SOZPWs5e/1H2nzo5fGP7kDAoo+bAgQM0NjZGKEIqisK2bdt45JFH8Pv9EZWDL2af8+aFqkWfPn06plHTTcL7sKBpWlxJaWGAlEAAW3YGVRtK0II2kkYnU3hVKLwR2JqY5X+uaiut5/aww93OFy77KYf8ezDaQqt1U3oeyemZJFuTYx8sggToDQP/dm015Zxr+YDNlSHjpDttuhuCKJJpHYGqqaiagqzKyEoAv3s3trSBCXF5S2+mal18hU5FVjh/oIKAy48gCGQs/QTpWT39dqaOwnQ+so5RqzvA3WUZPCjAAmcFoihEZ0D0gtzeiWiNdAlrigpSfGPB0+HG1+5h5KzY3o75M+fz9O9+gSIHqa+r564HvsbBQ4cYbfoRB0+Wk2VIpyE9nebmZkpLS5Flme9+97tcd911YTKqpqrUPXQ3b+6XmdFawzEtH+v119GsjWTWfVNw3BO/UGr3BK36AniVIFkmA3+7dhGuzRtQzRPIXyhzbksmLd96iak/aMUwfUncvjRNQ1Z7ZBYD/kDYoAHCKeeyLHPmzBkEQaC4uDjqOb7kkksoKiqKSJ9+9NFH+dWvfsUnPvEJCgoK0IBg+WGeKmvnlroDjLjrk5h//BCiLfqlbNbr2FR9nvzWNmblZJKWQCLB7ppajjS1YtVLNOVPYcmRHo2l3p6IvhMyhEJst956a1hptxtJSUl0dHTQ1NTErFmzIvatW7eO1atXhwnE3UaILMvh833rW98KeekaGyO8dEuXLqWiooKamhqgp9gphPg53WGpbs5Ed3HOvXv3Rhgper2eSZMmsW7dOurr6yPus8suu4ySkhIgNjeq93j74mfZOWwJ+Pnsf32J//u//4urPt27TlZQUXn3WAN3zM3v18swLAh6QxW5CflT9HYH8XwklpFDK9Fxdk1lzHIj8SD7A+hMHw6nZv6oxbxa/xQ7jr7H6rk3D9he0ZSL/5tcBAzKqFmxYgWlpaUR2+69917Gjx/Pgw8+OGiD5kL6PHz4MEDEKu+fCVVT0YbIqdICQaz19egz80maObjUPkUOcHTH/5IyYi5TL3mQDaVvIYgiQb8/oq7IcMGouFk8YgV5GYN76H1GK0HnKUgdN/iT+lT8NZ1U7T+JLslE9vQCrKmxDcWtZ8/zyak9pN+govLF5w4wszE0ERkTIJq73j+AfWkfkTBZJujy4GlqR9RLSHo9ol6HoBNpP3WemjcPMfnrV8XuENAbzYy7JBRimAhM+9uzrF+/nqxpM5ickcET5t+HwwmpqamIohhRIfnqy1dy9O5r+KDWwaUtR9iWMZXpbY04kzOZ+5O7MS28st/v1D1hVn/3fzhXq+O1ygPc/sYenll2H9lSkKSVVyE6n6b6iAe5rhrD9Nj9vLKuHL2qkWQ1hBeFlc1tRKv0hCbQsWPHEggEOHXqFEajkcLCwogXZd/06b6TngZ0vvwEkiySe8ftWG/8fNzvOGdENgXJDoKKyrbqWpzBIJLQs8LubYBraARVjbHJDj4/M+SZKv/VQdy9Juv+xgaRhTB1Oh0Wi4Xvfe97/O53v8Pr9XLkyBEmTZpEdnY2ixYt4s0332Ty5MkoisIVV1zBxo0bw1yjvLw8TCZTuOgkEE7N7vbS3XPPPVRUVIT5URDKCF2zZg0+n4/rrruON954I5zJVFpayujRo/nWt74V9vLdc889bN68OYLH1Ps+68t5iseNysvLi9jXfOo0P2tswOUP9Fsuoq/S9e4zLbR7glw55UN4j5/bDyNmDdzuQjBIGyDg9WOyDUXXbPDocLeSZstMyKCB/hfqH2UMyqix2+1MnhzpmrZaraSlpYW319fXU19fH65DUlpait1uJz8/n9TUECdixYoV3HDDDXz5y19OqM+Kigqef/55rrzyStLS0igpKeFrX/saS5YsiZsu+WFDU7W4TPGAu5O247sRdQYMSemYM3vE29T2Nnzbd2C+bAVm0+Bubq+3hRM7fsWERd/CZE5h7bkjzEgPvYSVQABjL26B7BueGjqeQCc5abEF9gZColZ/b10fRZbprG8mvc6Fkiwybln/oRG9JOIJBLB0rWB/+HYZB8+28dJd13L+988htzQPeH7F7UaXEmk0GQpyqH79bexWC6qsoMkKqqKCotLQUIo8twVJF61kHAvdWiEARUUhQUC32x0OG4wYERLo0uv1GI1Gnn32WSxP/JYjzUbuuKUIucEEewQ0o5WZv3oA48xL456rGxazhdGjR1P82O84OX8xsywac2U/bzSc4ouZxXjeex0pJRXQsFzxyYhjVVWhce9WRJ0ekwjXXBHpxXltSwv9wWAwMH78eLxeL4cPH2bGjBlx2/ad9FwBGfe+g6Qbijl2tpbuIKTSWo+YnBkRahNFkWx7KFyUlzywRlNf6AC5n5d477H1rsTdXQizvb09zLtZv349ycnJiKKIyWTi+eefx2QyhfVaAObMmcPEiRN55ZVXePvtt2lvb+/3WkDI0OkOQ7W1tXHq1KmQ56xL56Z3JlN6enrcQpt9lY6777O+nKd43Ki3336bZ555pmefzUahLPPMF2+P6GMgwvja0nryUs1MilOCY1gRcENXaDqeTtSHDVVV+g3PDhr9vGNHZBSy/sBrCXeloVEjjGPOP77QdbVCVd217qun9Xzubq9D4dmlDzIpvb+6ghcXw64o/Nhjj0UQdJcsCb0An3rqKe655x4gZKQ0Nw88uXTDYDCwceNGfvvb3+J2u8nLy+Omm27iu9/97rCO/UKgEbvKNkDepTfha6lF9rmpO7CR8V1ZJqqzA9/2DzBfdVXMYzVVRfN0EDy6D/3kSM9BR3s1lQf/wrTlP0bsCqWc6qjl/klXdB2rRXi5cqaMY/+bm5h93QoAHn/sGbJ71a/phiIrdDqd3P2p2Na8P+jBbIhvfDU0rkNAQBSNCKIBUTAgSia8bftQtGQCracx6K1YLBmIUpzbr+u5rD94nOaKasZ9ajkGqwW21MU9bzeW5Y9gc1UNV48dxbO7q3lu91l+fuMUZs7KxzrSzYGKfJZteAHzqtvj9qF2tEdtE416pGwzuYsijSpnaw3O4yfpFFRKSl4IG269sxDa2irZseeDCH5Gd72mn3/vD5isen76f98Lp8F2y/Cnp6fzzjvvMHPmTJ79w3NceWkaSV/+Gbv2lRIwnmD2fXPQ5xYOeE0AXO1+zpa1kJEZus9MGRJShYZWvw+Ltxop806U5saoV73f2Yb73BkcoydgSc+F/ZujO08QZrM5Klsx3qR31aor8ZQ0kdHQguN3T7H883fy8olU3F+5k0pDEm1OAdUgcG02jPveI0MeU2/oRFB6LUwSzeDq3b6iooLy8nLMZjM//OEPCQaDZGdnIwgCZrOZu+++m2AwGCYcd/Nz3n777YTOV1tbS21tLTk5OdjtdvT6ngDKu+++i91uJzMzk0cffZT7778/5ni7NWuAcCXu7vusN/oqIvfGTTfdFLFPqauifNkVjJgd+Xz0RxiXFZV3y+q5efbIDzX09FHCh51dlGLP4LVtIS+fBogI3LjknphtbxpzE0fcb7Iw2YhAqFRMzP+7/g6qQX55bDM1rpp/baOmrx5NIoz1qqqqQfWZl5cXpSb8UUPIUxP7BjVn5oe9M96mc1St+wtyQEVosFB83+3xxdhEEeOVdxM8XYZ/w9+RJi1EN7IIV2cdlYefYtrSH0YcG/Fi6POSGD1rEmfNJo68t4MpKxaQk5fHtVfF1ql5a038iUtWghjjvBxUNUBH+36ysq9HVQNoqh9FcREMtnDGV4mBMZgbSwgEPHj87RET/9nWE9yx+o8ANFc34n39PdLHFjH5ltVxx9INX10VLz79Z7xuP2JyEkmZGewO6vnhW2Xcs7CQ2+aGrv3Y7/+SQ1/9H45s2I/D2CXSpmmRxbk0BfX0UZzPdD34XWMUBIFgext9cXzP68xZ9ZV+NR9SUjYwd5abZ59/EeiS3r/tdg4dOszIMWmMGTeK9GfSWb58Obt27eLuu+/m3nvvDXM49uzcCQhIKamsef8ANrORT3/lCnau2c/i2/ITqs+iaDJlhypIzTRTacnkrbIS3IrK6lFZ5P+/r2O97jO0Pfxl1FwDjfu3dV+MsFCSJT23Z9sQ0d7ejsMRuSLvO+mNGzOWZ3/+ZxaMmIZUoCev/iTb/T6uWrefz/zyAdbuDzC6/SiTl0yk5sUdvHftZQwhoBkToijSi6+fcAZXd0kIWZbD4SpJkti1axcLFy5k9+7dGI1GZFnmkUceiUs4Huh83UbEc889h8lkQlVVWltbMRgMLFq0iC1bQinujY2N3HLLLUydOjXmePvjCnWTd2NBaajG9fJjaIEAmhwMFdVVVTRZRnVHS+/3ZxQB7K1qpcUd4MrJH0LoqWoHFC0JPe+qgqB+NLJ6ht1jNEBK942LPhXx+fVtTwMQ9HWCJKGTetS3820jma5L5QvTPtm3m5jwyl5+eWwziqoM3Pgi4uPaT8MFRUVM4Lccufx2lIDMmX/soOieRQgJMN/1oyfB6EkE9r+Pv2wXp4Uypq38cYRBs7+lmixz/0Tc/ImjqNp9CI/XHyYYxkJ/Wgea0h6X5xSUnZgtBSQ5ohkWJ9ormT/6U3En4O27f497y6voZIWJK2/EOiYxZVhNVfnVEy8zpsFCtqagnHOiqG7k5/+LJzJEFn25R3fDv/dd6lUnl6cKpC6NDoGoqsqh97dS/N9fIyVj4ByGY7tfZNzsqxMyKmw2G77mc2iqRkeli6kTZlFVXcUzzz4V5jtYrVYkScJsNjNnzpxeHI4nGA+83mZjTlYaU8YXAjD98unseOUDFt8an9Tbjfc/2MT7H4TI9TaLlXH5Obz0u19zy6fuDU2OtU10+EScnRVkzh64v95IdJVdW1vLxIkhhWhNVnny949HTXpaUMV9oB7RZqD9xCFGrLwGnaeRnee3sejB33O7qwNBp8f18iNsng83+mtjnGloaDLZMXS2Eqwo5YlvfI7Hv3g7WjCAcd4qBH308+LfswHfns0sHlvIn98K8Wt614rq5v1JkoTNZguHl+rq6pg9ezbzs1L4yYIJTEy183NJ4+F7Lgc0QpLWIdc+//gjta8/EpqsNA3P7pMsTLfzsxnFoMH395/ipMdP6Y7t7Fg2mREGPYqsMuX9o1x99dURQofdGIjHFA/tf/wRjS/vDH0QQjW1uirDgAA6CxjGJJ45t660nhHJZqaO/BAUfnVGqOoy1gUJzZxCwCdjMA3fFKjGk4LvBwHvwHWYBoUherw2bruN5NQrUbvvO0LP9RzbaKrrKijIGZj+LHVV9FYHWxdomPGxUTNMUNEgAb0BVVY48/oHFF63AClOfad4MMy+lL1bNzFh2soo787amn18e+oNA/bha25h71ubsOTHXx05mxp5e81mNEASRSRJh04vIUkSVW0u9toOopN0SKKEXpLCf8uBevRxH2wt5uTv7GhjZ+k2TLoxGOctRmexMRgnsb+lDkHKYtXoUpK//itcfpmf/uj3LDAVQDCZvV/+FtNWTyLY1spLFR5mNVaQ/MuXY/YliiIet7Nfg2b9tkN0uL00dDqZM8LAxIzEch2sjmQmzLmEzc9vZNSUmdjTXgVCAmP19fW0t7dTUlISES7o5lR43C4+GD+ZB5IVJnQZNABJ6clMWjKJD17exsKbL4lrXD399NP84Ou/YuSEFHR6ibNlLeRP6tE+OX+ymuqSkxi9ArJcH9LAScpAMA6PbEPd2UYqTh/GkXEet9uExViIa1ctokmHJqsYChwYckOhOUEvoksxYSxwoJ4LIooiObZsShv3IitBdF1ZT8YZl5Dz6m42uizc8JMvkvrdP13wOHUGPW2ihe2f/mp4m6zXMfPK7aR/7RcRbQ8fPsypX/6ZtrYAAdlDUaoNKTVEvj158iRJSUk88MADnDt3Lsy5aWho4KmnnkJRFEYX5HO+pZO71uzhgznjwiFXQRC6CnAKXUZD146uOluqP4BJVclTQxISaUY9E1SNXU4PL55v48EphbhKmxFULSaXJhZicXdiQZODSEaNMYeODUozKxZkRWV9WT3XTcuNaRQPVk14wPZFkTpAqtY+2CEPCFUFqZ8MyVgwXqRae4OFdcSljNU00iZ/OWrf2wfeJS+zEHGARKBuUrGifeyp+feAqoKufyu5raaZyleOkj6vmNbTTkSdiKSXEHViz6pHDGnHCKKA3qLH6OhZIZ44eoTM/HzsKT2T7js1h9nfXM4doy5F17u2Uhxvy+Xf+jw7nnuNVGKr+wKMSRKZf9VyNE1DURSCQYVgUCYoB6nY3MHItBxkRQ4L+QWVIL6An4Bs4lxrDsWFiV0ygB0HtnD5pdcllDknBxXkQDBCrKq0rJT01mZ0YwpQVY2vvXSYXbpJ3Pfjz5J//iB7flrBlp0B0KyMt1rJ+6+7EZPji2rtaYTadTsjtnWXqwCwmQ3csmo+L+5Yx4JFN0Yd3xe9RfZ0Oj1JjiSmTJ3CuXPnUBSFxx9/nMcffxy9Xo/FYuGJJ55g/PjxHD9+PMypSJ6/mDFvvcEIW7T3KjUnjanLp7H37T2IYk+EXiO0cpREkaAso8kiqmJAU1VazqsRRo3RYibo9zMpVaW+NciWL1xLwGpgxGcjRbr2mLOoadNRuT+k+RP0u5nmO4u7oZXT75+BrqLYTZ2paOYUBCDgD5KanoRR18TUKffidJbQ3nwAU1oxxkIHWlBFbvGh+mREkw73gQakJCN+Z1uEjtCsnCXsqf2ARXnLADBMWcitLz/HG9ffwl9qUvjCK4/guOXL1D/xI5450oQ1xciXvveTQRlmE/7fTyhY/wKiyYxgsiBY7ez/8Z9w7d2P/g8PEaw5S83hM3gNRhRNICmgw+L14tLrIdhDxI9nJHQLIKqqik4QmJpq5Z2Gduz/2BK3AGZf2O65B7m9nYKuNGvrPffQWV+PuGMHgWVX47z/fn59zy14VLVf7s9guEK9vljovwEMGr+s0Oj0U+/0Udfho6Gj63+nj7oOLw1OPw1OH7KqceXUnsVVb8NksGrCg1YfFoQLiaTGRGutC2mAOeCiY4DwU1Tz7ougt6N6nGhKAKGP2vDyCfPZfnwHl07u34Mb8tRoH3tq/m2gaghSKHuldPNhPE4fohQiUPm9AfRGPSazgbF3zUGTNZSAihpUUAIKQW8QVKhpaOR8bXPXjASKXyPTnkTB6CzMYyS8bjfjJ4fk93c1VXCwuQKjpOcHMz4RPZ5+3JBjJvSfvdTb/ajT6dDpdJjNIf+J3WolNzW+l6dmz3tx9sQej9FqRpIkXA0ezu9vQNIJyAGV8ddEp7Zbk+0cWLuLedf3PFw7ymoYe64Cy/d/xG82lrPxeANP3j07VEMm61IWPz8PubYCKWMkoi2J+rKzNJafJ3PsiKj+fYEgecVF3Lp0WtzvB/DqtjcoCtRzpCseHQ+aquLz1ZGdnU59fYgY3+HsYNeuXUiSFBY0gx7j57Of/SwQ4lSMHjeO//fnp3ho5UKeef1ViGP4OdKTmH/dgqjt6195EQQx9HtqGh3loRdOurkool1mQTZVSQ6Srv0flr71V5xvvcXhWoVpfQiEx/Yd4MeX96TEHq44QH7aTFKTIz1bhnc3UrCih3R6dN8/mDLnutBYHVNx+yvpaD1E5rhliAYJ/4EGtGBodWcam0Lrqb0IXj0pk6aH+0gzJ+OTPRHnEUwWrnn8/zj6wOf5w1Y9+e/cwVlbNtcd2MqGKUuov/8Wsv73acSk6MKksaDLLcJx37cjtiX94jecqdPBa7tD3y0gUjDOiN5oQDKbMbbnETxTR935OnSaMcpIePrpp/H7/Xi9Xnw+X9hYdcsKXkWNUgxOBL2Nkvb2djZs2ADA448/zvPPP8+YJDO/yc2NWUoDEucKxYIGnG7spK7DR333P2fk/y3uyAWT1SCRnWQiO8lEUbqNBaPSyE4yU5RmZWZ+T8i8t2EyWDXhwba/CDYNW94+wjWfihYJ7Q8jxhex982tQI+B0Zs8rMgyCDBt5QIsjmhR0SgMIvykKHKva6CRMvZe2o7/mdTJkfUFrRYHSgLGkiCElJk/9tT8m0ALCjiqU9jl28mEReNJzR28xPaB949z3T2R6bnbD+5n/8kTGE4rXPXJnlo+exvLw5lOsQcU/yYMuFzYcqMn9fB+T2Ju61iYnFfM4cpSphfFUi4JYevevfh8fnQ6ieqaZqoD52mr6WTsZflYMiyc3lAV87hRc8fj3+qL2GbvrMVmSmXHlmp27GniwSvGs3x8Vni/YDShL+ph4ptTbXiaYys8f3C0ioUT+zf4SsrKERtOMfu6L6PvJwsMoP50OXppE/PmLYoQMOvWEenODIRoUmWNL8Bxl5fL0hwo50Pp34IucTn1Y4cPUjR2HOOmhbhDqqLg83lxtrWx5eV3mc/CcFs5EKSztR0xOR37p76F/+gRtP3xK3Z3I/QCi7Uq67n36mtO4EgeicncU17CmlGE0ZZBw46N5CxZhWN55DUPBjrInRlL8yf6ha0rGM+0VzZR/OwvKV1/jBGuViZu2Ir8zU/zN4owfP27CFaR2xeMJ+v2rwz4nfpi6pr30bwuMJpDVc37cGs8C2axr7WVvFkho7KvkfD0009H6NlMnDgRURTRgNJOL+s2vJQQJ6s3+holc+bM4cEHHwwbyO2/+X/UPf4OWjAQNd545F1V1Wh2+cOGSp0z5GFZ+9LTHNu1kUmf+SVfPtXMBE1j5a+3hY9LsxrIcpjISTIxLS+Z1ZNMZCWFPmc7QoaM3ZTYfXsxyyLEwoX4VBRF4UxdDSfPn8Yvh4w4/QxYV7KJmxb1rxnVGyPGFTBiXP+aX3IgyOF3d+H3+hg9azJZxf2osg/iS/3xnZ8yo3h++ECdJRNFdsf01iTarYj4MVH43wWClIJ7ssyiKy4Zch+KEj1BLJ45m8CUIBo9+xIhpPVH9g26XOjt8WO56S2DEfqOxJjcUfxjz3sxjJqe8Xh9fi5ftJBAMMj8adPQK3oyJ6RgTg+l+6r9LQr6TKKfvHY12zZ9m8Czu1my+mE+v6R/8UJVVhDixL1rmp2snDkm5j6AQCDI8bJybv1EYgVLVVWNehv01hGJt0I/4fbSHJC5PL2LQKkEQ/8nYNTIsszhXTswGvRMnNdjuChBhVM7jiGKIpLqZscr75KclcrExbM4d6Iaj9PJ3je3MmJCMRIaiiigtjcjmCxgCGVERKV7u1ogJdJr11ldGf47GPTTeP4IU+ffGt5W7zxFo6saVVPx2xtwlWxlzNSlEX3odLHra+klM+6AG2ufMhiCTofj3odYdO9D4W3T//wG47e9gf/IHupfX89Top7/jp/FHxeCyRK6BjHgdrv56b238r9tHsasew1d0cSoNr31bM6fPx/OOjrx2Rv526nzCWUdxeqv3zEbQl5Vze9F0BsIKioNzu7wT2wPS4PTR1Dp+YUlUSDLbqStoQFP83kuHZtJYYUVAYGXP7+AnCQTmQ4jxuGU+P+IodXZTvn5M9S1NaCGvdeh9aIoCBSk57Fs2kKsXfeHy+Pm/9Y9ypW+5ZiHqYwQhLhes68OLYA2PfUa5Xs86A36mF6ZtJGJlwL6yrXf58kNv8YkmahuOgVjIWXsPbQefyImtyYRiB97av59oApaVzG0oaHD1YkhDnHYoI+czH57fB13Fi+O2bYb8TJS9vzh13RUVZJ/+aq4x+qSjDSXVZI+qShqXyIWu81kos3VRootdjaWpoU0dMwR4ZSelYEm9zLgFAW6OAoAok7i0Prd2JLsjFkwifa8aXRm2Sk6VsklcyR8x1owTUyL+/1lvxyToF3f6kSIp5vThbfe2chVV63ot01vqKqCIIgJ1xBSNY2NLU5yjXou6SX+p3XxNQYaH8Cbzz3DgmUryC0ojNjuc3lIyUglf8ZoDD4X465eSuPZRna9tpHMghFcc//dAOx9cysFRhNuUc+aa0McC4cYZMnG3VHSkp2aSHpSpAHcerKCgstDHsUTh95hwoxIQcIdVW9i1JmYmrMUqaiAqn2bcOzTQgUFJR2mjKxQqnAMTMyYxtoTf+KWqd8c8DoAmJZcj2nJ9WjBIMYyF6qnE9EyfMTM6upqCm0GzgFat+HZD3pnHZlSbEyaUsiU7ScHzDrqD26/HDJKungr9U4fxTWdFAIbP38XblVkr62YF9JWho8x6yVykkxkOUzkp1qYU5Qa/tztYUmzGZFEAei531v2O2gMQvHjXyXlaz9F0g2tlMCFYrAk4njocHdSU3OempbzMSdih8nG6Jxi5oydlhDnr661iWumXDGsBk1fpObmMH7RdMy2C6/sLQgCC8YuxWS0MKktlPCgs2SixvHWJNrnx5yafxOomnpBktI7DhxixcJ5A7b704n3SDclkWUemgLn9LvuYfvPfoQUI0W1G6ZsB51n6mMaNe3+gW/YZZMXsG7nW1yzODaRNpbBcebYNnw+JwLgMzRQs28vOqMD2e9EZ3Tg9zSSMnIu4xdP49TOo3S2deCXFb7w7AHMeVdwb+3LFKz/K7av/xbvkSaCxlZkNWSoCKKIX9ajYKWzto2gHdy6UFq7Xq/HYDDw5s7j3Leqb23vHhw8cpz8wjxs1sRVn1VZBkFISBckoKq83djO6owkrH1foLIcWh7qB35cU1JSyIqxWlNVDaErg6b7+mfmZ5KZfxklm/ex/cW1zLxiEQDpX/sZV7/xVzS/D8+uHeyv8oTKvvdBliONrWXbATjpCbBA76W2UaYAOFd5mJT0YvRGMzsqX8HpC6kOm/VWchzF5KeEUn9NCy1UNH7A3KLbUQI+PA1nka3t7P3gq1gNvb19ImZrBqmGkbR620gdQL4gfOnOltP85rt4pq5E87lhGI0anU6H0PVb1X7xHgRJDBVF1EK1wjRNAyWUItt58hxuWaVi/kQ0VUN2a5gKbHGzjjRNo80T7PKkeKnv8FPf4e0h33b93+mL/F2SLXquI4dig0b+kVNossBkRzmrn/t2OBzkMOmGJHaX9OlvEaiupvmt/TS/s4rCx/8P06L4pUEuFgZNCo6Bc4YKzlU0MDF3HFfMXoahn/dhouj0urCZL9zY6A+aqiGKw+cd05r24xd0WC09z1PquPtoPfYYaVN6sgArOtrwHdqIoqqsmLgQszm2N1UUpI+Nmn8XqJqKThj6zeaVPRj1sZOZ3284wbG2GmRNJd3o4PbiBXjdbnb86c+Yu3Q/eme9ABhLS2g6WxnVV9DrISs9i4oucbm+0DQNScuAzAxUVY3yJhgFlZfW7UTyCSQlZUUdPzJDxHN2IzN1p1GDqxH10Q+57I6+6X0+JxNnXg1Ae/URBElH0sgeLkxn7UnkQIADa3YyetZ4RmVM4AfPbeNorY83l2RRt0tFtNkRjTos0zNprCsl2T4rVH1XDnLiyGbGjbkMnVFPp+YlEAjgdrsJBoO0NTVhOlfF+ve8EaE9QRDQNA1fewtH07OZkGbl9L4DUWMHSD8vM9YYOVEE2twICAPqgrhkhXdbnFybmYJejFEJuNtTo4v/4j1VVkpdzVnmXLqMfVu3MH9FaGV+fNthNBWCAT8jJxShykqU23rq8jnIAYV977xPUkYyUmp2mDCrBR4M6XtoKslmM8/vO0CbonHF1MlYs8Zhzw71tbO2mWmjRlDpO0tzq4eOA0c4nNxIqn8P7f5mbp8eW/3bqLOiqiEvh2QwYc8biz1vLO1725g099Phdqqq4nLW0lD+ASdrzrNgbAryuVO4Xv0zmiyDHESTFVBkNFlGUxWQZY4eq2fHzMv45OIJ4ZTr4YRp0WocU14KnVsUQ6HNPv8LooiuoR3FF8AzfiQIEs3+IH9uknG5XEiFs3l47fGwp6U7JBTo5bEUBci0d/FVHCYWjkonO8nEwbUvcHD7u7z61jqyk0yY9BJwOfz8vwE4s3gy/iaFS8dGZlcNxduhyx9LztPvkXZkOxW3fo5AeUlcoyaR/ofqcUmUe9Nf/zqDyMoZi7EZYk/OQ0Gn101uavQ7cTihaRrDWY5JFHSMnXkXul6CqpI5A00NoAZciF3XZ8HIUUwqnIKiKKw9vIlrZl0esz8BoV/qw4eBj42aYYKiykj9VH4eCAYx0qD5/bH1SIJIvi2DgKrw+bErUNHCadter4+0RQuYsSCOd+fK2DcdQD80MwDaXt+OnJeOs7KO5FGRhOK7rwvFdqvX7aVgeSR/JVi6h8rKcmZcdS+oXpy7/gfBkokgSiQ7K2FsqJ16uomTL73PqGvmobNEu2qTC6Kzj1Q5yOlDFcy48ipExcfBay7hhvMePllsJbPwCs6LIoYJIVKspqlIBh0GW3L4eGOSmdSRoRd739fOltdf5pOf+3RMwmbV4QOUTBnP9/NyYxoc3dgjnKNwdmTZCdUTRH39z1Fte6f81vkDHHR6uCEzOe7qWQsGQRD6DT/V15xlxvxFbN+wjsycnl+4s7GDuTf3kM9PbfiAjPHR2jo6g8SCG2MoTPca0+rJEzldW8ub5xvZ2+GJUENdkBx6+U0fncamjZVcf90dSDUnqGutxV0j80rwldA16fJodv/v99UxuyBSUr1092NIYmTIVRRFHMkjsecvw98ZInr//WcPEugOJQpdVcO7hytAwKFHWpDNNy+/CuPs2OrZQ4Usy0iShG7kKEa88kF4uzeg9DJMejwsh0/9N+UfrGHqM6HsQMFgRp82krTr/ps3G5LJ9tWT3RX+mZGfHP47FBIyk24zoIvBBfvBFpl3a89SmB47M8bfFB1Wkc9VUF+yj9PHy/Dv34xh2iUxxQXjQcrs8gT2QwhNxJsyFI/LYAyh/vqXVRndBbyvY8Hj93wInproheaFoHjSDezd+G0Wrv6/iO0p4z9L24m/kDb1AQAmFYa8ppIkMS5zJOU1xxmbN6FvdwgIqHzsqfm3gEGTST8PR3dvjdqXnjuS7PzR0Qf1QpLdxtn6WvKzc3ni5GaW5Uym0JbO1vrj3FQQCov0vpV9Xh/GXrFb1eej/R//IPX2IbAh+0KD1ImFVL21O8qo6dWk17ll3G+8g2l8OmOv7ZLUlmwkL/lluE3wg/8NtVVVsrKa8LRYqNpwANkfRBAEOtRqiCw9EwGXx4k1SYWWc5x8+L9p95vR5uXReqaZs89vIU9tDU9c7e37sdsjicoulydWtzScP4fiduFsakSURCSdHkmnR9RJeJ0d1GgiEzPS+jVo4kG06EHW4uqCTFu5ilNuP1dlJPffUT9E4fKSIzTUnsNis2NPTubKWyN/f1taZLhFkxVSiuNnvsXD6/sPIqkabq+HG6dPpygrNWa75roO5l8yEqNRz/jRUxjPFDJc6UyeE7s6cnX1TqyWHl5OR2s1qgxTLvl0zPZOj4d0SygEGDRJLNlYwth9h6P0aNrbz1NVtYHp0+8b9HeNBU3T6PAGw+Gfyspq2jUzjYdLIsJBHd5Ibo3DpCMnycy8e7/P9ff/LCoz6O3n/8qGtb8aMj9kIK9F5k3zaHx9N1XLp6HJKpqs4m9VuRO405HCmbu+ROati0j74V8SP2l3eLSfFXki3pShZDsNxhDq239fg2i4SxQElSDnm+vJTEknyWofVuMjDEHA5/JiS008E7I/mKypmK3Ry1zJmISmBiO8Nd0YmzeRtQffi2nUhLSqPvbU/FtATa7GnZ7N5PlLo/Yd3b11QKNmyew5vL7hPd6tL2NMVh5TUkKr/mvyYlc07mhuwbB+HU27u4XiBAyFBdT/5Cdkf/e7nHnrTeSAn8xp0xEkCW9jI62ny2mtOI2gk1j0nR/EH4wAkk5HyqQCKl7/AMlsCC+AVVlBUzVMGSFOj/dEK/4z7Tiuu5LgpmcJtDWFukjLQT91frhLEdi/5ilEUUJvszBx1RLUoIK5K8Pn3PtH+70+Lb/7OnW1Fuo7NBRJwpomMu+xl+hc+zeajxxk1DceRjBZcLsrEEQJgyFy0rXZYnNh2jpdLLn5NlxtbSjBAD7ZhRIMoigyfg28ecWMjuFN6ot4j7Fg0bH+zV4puBYb4ydN4OdPP0t7Uhqu0qO8KwkU5mQxdlQ0hwlAC4ZSRmOtpksOHSQrKwuvy8UHG9aFt4uiCFoySo3MWUMtSXk2kvIdtNXXUrPrMF5FQhUlEAUCajvOtqYeJ0cvA87b5CaYPZaMc34Mo8ehGjUy4hDAj5Q1kJRkpiC3R/be0+7C1M/1CwY96HuFKO3JeQhS/JVeq8vN+C6hOkEnkLpiakyBvYoza5g547Nx++kNpSuduSczyEu9s4fD0h0O8gV7xjVSaidgyQrprzhMzC1KDf/d+3/LAKrhL3W2XzA/pD/YbvgU/sqqUChMr0OQdFg0FcvCS9DlFnDuoZ/Stn4nnkPzyPzOjzDOi04giPKOdHM6hlAW4EJxIWnfvQ2i7tDycOKy6UsoO1tOzanzdPrc4e0aGjaTjctnDq78SExoGnJgeOtWGYzJMbenTvwCrcefIH3a16P2zS2awtqD7zIpfxIF6T2LpJBQ6cdGzb8HtCCiGEfgP8HfeHpeGltq9zJ1XOxVraqqvPTH/yUrcyxBj4fl3/hGKLWvFwSdjsY//AGfu5OcG2/CVXseTVEwJacw8a5Qhsux555JaDyp4/IwpdqxxPAkqAGVjg1V6LItJF8ZCkMZr+5ZXQe2/COiffKJOozLrsCRPgKzLQkpgUye3pC8TsYFg7w3YQ4dpmQ++9MfIokCyVffTfLVoe/l8VQTCDSRkjI/Rg/RnpbuAosGs4XUGG7jtxvbuSptaITsbvzt+Wf52/PPhrg5x1vRZ1vZdvwIJ2SNqXqRhfPnoSgK7+7cF9eooUsHgxjpszfffW/UNk3TUBWFAxsOYso1kzExlfL11UzLdzDzthvwOTtp3dHAyAUZ+L0BysvaWXJN7BpWHad3cqi0k0uunYtoseP2BjlR3sysaZGp3EePNmAw6xhTGGnwnDlUzoRL4osZjhgxm+MnXiM1ZSyFhYtDKedS9HP0j4NH8CkyBlEi1d5VUkEUUP2xNZX0OhuCIOALKjT0EYfr7VlpcPpo7PSj9NIRMEgiWUlGchxmspJMTB2ZHM4M6v6/o/4sE8ZfeCnNi63NYpy9nNzn44feUre9i/dYOa6TTmyb345p1ER5R7rvk3/yinyw6H2tL0b4yWwyMXvs1Jj7Xt+59oL7l4MyAa+P5OzYXtLhhmgIeXnVQGf4726kp2RzZXIWZRX7WVtznNlF08hMzkCIypH88PGxUTNMEDQFURw6g77qxGE0VeXe5Z9jzemXuHL0J5B6sdxlVeHnpW+wYv40jM3NzLz1UzH7cVx2GY7LLsP59F9JGTuOlLHRL16d20bbq9viqk+K5p7vEcugce+vR27yYr90BKIlse+cnV6IeVTsBz4RaGg0muw8kn0jb35pEUmWyIlPljtxu0+RkbEy5vEpKbkcPNhtaGldx3iZO/fOmO0PdriZ7rAgDrFAXMTYZRXv0WaMo5Nwb9/MkrlzWd5Lo2YgN/W2qmZMfh+ClJjLWRAEJJ2OuVfNZe9buzGnmLCmhq6X3mpCbzVhtbtJG5GBx+2jfdspjh0Iie2ZzAZGT87v3Vno/65VudWsJxiM5FLsLmvA/34tl34p2qvo8XmR9PEJ9GZzMjNnfJq6uhIOHvor2VkzIszPD8pPca7DSWlLO1+YO5O81JDRpGkaek2h0+PjZHlT2FgJGS5eMoNnuOcf62j1RnoT7EZdWN12TKaNxWPSozwsqVZDv9lBPp+PoPnipe1CYtyRE/VOKhrdzC5MIcsxtPGkP/xsqK+J49Fi6GRBpDFQd/dleE6cB0LctX9VBNUghiGkLP8z4XN50Zkuhi5QfOM0dcLn4nprEAQmjZ7DJE1j/8ldHKgqQY/h4+ynfxeomoxuCEaNqqoc27MNe2oqoyaHuDOXFlzF+orXaFSTybJmkWlOZs3ZvdydPYPqdS8y+67EdDriwViYj3XhRAz2BGS3e6G2rAlLVSfmyWlYZw82k+TCjANFUekMqvzxjpkxSZGtrTvIyIivvVNUNI+iXo4Qj6caRY29yu+UFdpkhZlJiV+feN9OcQfxn27DWGzBteU97JetRIyhY9HQ6WbN+ztj9AD+oExBQy0M0rsVMQ5Zo7G0icwpXVkwXZO2xWpi6XWz0Lo8FUf3nmFEUSZma9cYY6RaqLLK7v3nEABXgw8xz8bMa0Zx+t3qiHYer5+ajia877/fdcqeq9Tc3Byu2J2dnU1OzlRycqZSVbWD02dPg+MUii2TzeXnKUwtIAkrv9lYTX3HybDH5du+ABUuH5//614A0m2GsGFiTlvEF7OOYdMHyRqxmPyccWQnmbAZL/yV197eTmpqYqvloWb4DMQdKT3XwdHaDm6fm8+B6lYOVLexaHQ6SeYhci0E+iX+dsN5qAZNhvSrp2O7bnj4Sv/u8Pn9w2JAWZJsoA2vUaNpKj5vPW5nA1ZHdOaWaLAhiDpkdz06a5x3viAwe/xCVEXhrdK/fMyp+XeBoqkx3ZmxVGW7UX2yhJa6esbOmI0tqecl6TA6mJGzmJ2VL5KfNZlGbwf/NX415f/4M4vv+fYFE9AcxTl0VNWTMSWxCtPn6juprmyjSZaZtyCb5NT+Gf7+La8nJBQXidgXSWmu5fRX7kL1QXaqlUljostPKIofnc4+KO0Nt/skGRmxM8S2tHZyTUZSzH3xIHpiZJk0ewk2edBlabh37cRx1ZVxiwHed/VlMbcDeDxn2M/gyiRAJGFv3FVFnH63mswY1SuSe5GJswtSaW1yMsLa2/DSIpScF84PeXKajrfgtkHh1NDLLik/MlS3a/Mhrll9FQZjz7gDckjdNlBZw+F6Ly2dfprWvo9b56DTL9Pu1/D6ivHu2kiS5qEuJZV6r4esbk9KkokJOQ5ykkw4XlJwJBvZ/q1lZDlMGHR9r22o+GVp6QtYZAM2Y/zSHYOBy+UiMzNSdDCe8RLLOEnE0BkoLFXb4eW2OaEspFkFqWiaxrZTzaRY9EwdmTy4L0SXUm4c0cPeEHWQfPl0Mn714qDP8VFCu7/9QzuX0+MKqw5fCESxfx7QqbJSKk+exGwxs3h1YvpBgiAyY/G3Obr7j9iSCiiedG1Um9SJ/0XjoR+TNfuH/Y9PkrAHT6Jxab/tLjY+NmqGCUIcF17Q70XXi+ApB4OcLtmHz+0mp6iYmUtjT6y5thysOjOTk3MhOcROP2O2DBOjXhuw0i7AuYZOqitaSUq3sGhBPkFZZcuxenIGMGoEQcSwpO/D0b/17vVWc+79PwEqICIZzJhSCmh89km8rvMIaZC/KrYnxu+vRZIS96p4PJWYzYUx9x3scDPDYRm0OJls0+E72Rr60KWlLtoNiIZ2AhX1OFbFT7EfEN3Cd7rBPa4t55sjrrqr2UtbVQcphUlx+RBqRzOBsuN4ymQ0OYj/5DEgmlfUcrKVznoPxct6hP5cfjlEru3wU9fhpeZ0E+90nIjgrzS7QvwgB17soh+jTqTQqMefVURWtomRbSdITsli3OTpZNoMHKs5hSKJXDZxHFmOyLj+5pc0FL1E3gD345Qpt3PkyLPk5g6PUSMIQpSGUzzPSizjZDjE43SiEHGPCoLApWMzqG5xs660juUTMgdXwkAA55Y9+Msv7fLaaaF6JVq3cRz6rPgZoI7Jvwbsegsd3npUTUVRAigoqKqMrPjRNKXrs4KqyaiagqYqqJqCogXDukqapqKhoWkqoiChoSGrflRVDofmNDRanK3o2xzsLDXRKkRmGvUm1fYuZKlqGp6uMG+IfBtCe0s9cq+EAA1Izchk4sxZ1Jw5w8rrb6Sq/AQnSw4zbup0AHweD862VtKzcxC7Mtc0TUNTVTQUVEVh/Kz7OHkokmu5qXoTO85tBiDd14DjraupkNIRVBVNUwCt628VDRVBU0nydHxMFP53gShIMaW2/V43BpORymMHQ0UDdSLFk6ZjsScP+hyC0zUMIwXZF0BnikNqBuqb3VSUN+NItbBoYY8Uul4nJlStdSgYs/p/Iz4H3e2crzxGWXszxQIkVVuwXhNNigUwm/PxeLcnfC6Xu5zMGKEq1xDCTt3wFtgx9SEVe48cAUHAtmjRoPvrDa3LqBmM96t06xFO7KyicEqPS3nqJ8bSVNZC+bqqMMemL9x//C1VSirV4ZWsA0PQQ0tAoOF8R6gK8+l2POdclGXoqP9LbTgc5PJHZmUs0rlp85rJ7ip22Ju3Un9sL5MnzsCsF0lNTSUpqdszNj2ij2n5c1FUlTVlJ3B5fKyeNI5UW+j3sSgqzjh1vPpCEIbvVZeXl0d1dTWjRvV4OgdD+L1QcnB5QyejM2OLxhWkWclNNrP5RCOrJiUeIk6aV4Svso5AU0fIWBIIGedCV9iw629rsQPrZVcPeewfFRQYVE6c+weiPgWdaEQQREQkREmPTjCAKCAJekQkdDojEhKCICKJBsQuj7wk6BAIVaZWNQUBAZ1kQhJ1iL3uN1GQEBSBt84dYPXI6HpvvY0WTQtfauwxQomvMZFFMyOJ9zUVp9m27h0ys3MQRZHi8RPZvn4NTXV1ABgMBix2B2WHDmCx2ZizZBmnS14m4G9HksxdC1yRUZNvieh37YknqOsoIdM+mlbApgoYRA1VFBHQIYgSmiCCICAJIpogok4sYFnesqH+LMOCj42aYYJA7JoXgijSeLaWcbNmUjSxHyGWAaCqKiQlLvHen6dBDchIydEvxcZWD6dONGFPNrNgfl5Mr5BfVtlxsjH8ztOJAjOK0sLCYPK5SjTfhRtfst7OV7aotOR+g3+M2UTrY2/ifPJnJN//v1FtBUHqWjkMjE7XCWzW8TH3bWxxcm1m8pDGG6iuxlsrhNJmDQYClZVojeXgbMC3/slQ6EiSEHR6BJ0OdDoEvSG0XafHMG4ahmlx6nmFPTWJh59cbV5yx6Qi9yL1ijqRrGkZZE3rUZcNKiqNnf6whyXXrZCtVrFl6ZU0eTUavBrHg3bO/3IHALmqwHRVx+E0iSxCmUBjstIjhOKyHaFihwe2HWHRiuh7XlVVttfZmDg2sfCnJIpcO2UisqryTulxXNXlJP/tEc6MHcGs1saE+pAVD16vE73egm6QHq++MBgMBINBFEVJqCbQhaC8oZPadm/E83yqoZPPLI5fuPVcm7dLWThxZP9lXcTn4aqvFAsXs+9EkWJKZWTaXeh0ke/UDc/9nSU3XIXZmjzs5zTqdTiGynkKI/q9njdqNHmjIiVD4oWf2hob2Pr2m6jycZbf8D8DeP41irMu4yeX/v5CBvyh42OjZpggCrFLrtuT05l/xTUX3L8iB8J1Zi4UakBGMvWExOqa3Jw53YLVYYxrzHTjyqm5eP0yGqFVxfHaDqoaOhndpU2iHNqEbu4VFzQ+TdP41mslnG508eoXF5Cun0jrY2/iPXIEa10N+pzo2kZ22wSamzej0zlISpoV16jzec/G5NJ80NbJIot+yNlOcnML+jnTUJpqaXz4W1SfUEERur9Q/AO7zmeQ1jB3+7qYTTRZJiBJCWc/AbhaPaiChjeo8Oozm+n0yXT6ZFw+GZdfptMXxOWX8QRkNA0UQUAWBD6rSyNFCbDHPpXskSbGJJlY3OVhydBEtGNtTL95bFexw8Fh//797Nu3D0EQsNlsbN++HZPJhMlkoqioKFz0Mx50osj10ybRsOEvvJeTRFFDLXO+nlghyHFjb6C6eivBoIug7GXa1E8hdV3PtrYznD27C6MxifHjE/NCjBo1ijNnzjBmTPyq7sOBRqefS0anR6gJ9y150I2zLR6O1TkpSrfGbZMoEuUCxTNQ+jNchiP8dqFQFF9MCY65q5bz9mNvseLOS0nJzAOGt9bSheJCQzspmVksv+4Gdn3QMCCVQUOLCIn9q+Bjo2aYcLFLrgcDPsQ4taEGCyUgE0Rk36FaggEFR7KJRQvyBz4QMOglDL1WgfPHpLNnw0vkl4fE7YTsUUhZsRRrE384Ht1awdtHavnjHTOZlJtE+59+BUD7zmr8n7qewvei6y+ZTLmYTLkEAq20tGzp2jYSq3VM2MAJBJoxGqNd8qWP/pjqDYdIO3mcZsCUpQuNV+wadZf7XRAFkIRwPR8kEUGSqDM60NlSaHqhmcpTZjQFiqcoJN9wK8bZyxHTckIp0XIALegP1XIK+tH8ob+bvn8/1XX9FGhUFAyKEubUJFbsMNir2GGIA5Bs0ZPtsJGdGfKwjOrSXMmwGciyGkg3SlR94S1SbEFe+Fyk1o+vw0fFphom3DwGcQgGDcDs2bOZPbunaKgsy3g8HjweD/v27WPZsmWhOL/PjebpDP3v86B53ahtjbS/8xInm8/h0XSkKxpjNNAXJ8aTsVpTGT8+xPPy+13sP/An5s75CgCnT7/HzJmf4cjhF9j65kFyCtMYN63/CtQ6nQ4lAWJtPCTqrRCEgSksLS4/+6rayE+1sHry8NS3SpQLFM9A6c9wudjaPIlA02QEIXqRkJKRw7VfvJG3H3ud3LF2ktJTiccHlP1Bpl8an+Afdc6hDrYXhsvIsCUlD9hGQ4sr+/FRxsdGzTBBRERNICVyqJADPnytTdRXH8Oemo3ZmoynsxVncy1y0E9qThG2pJ7MoFgseSUo8+KufQh1zWTrkpg8KQu7RY+mQac3GPa+iEJICV0UBERBQBAIezAEInVVRFHEnGXBMPO6uGNXgn7crQ0MVN9aU1U2HazghTXb+O6MJObLhzj/6l8RykowpusIdgTRAoF++zAYUklPD4mNeb3naGntSidGQFbcJJkm0fqTL6J6Q2UTFF+AkupsnNmj2DpiDGKKHTHi2mkIauh/TesmT6oogKCEKjLjVZhWWUGV6iBzpIeCH/0E/dg+YRdRDIWcYmRBuJr8GAQfnnXPoqgqroBKhyeI0xekwytjPxoK/XzzH8c4pLUmXOywr7ptIiGJWtWLWt9Kyw8+C4oCqkpA1nM+MI08aQctH6jhYpFaUEZTFBRZRlFAliUURUTRRGRVR2VmEdITDxFEQBZEZE1AQURBJChKKBKYktrRexTqbCPY8PQPwm9+rdfLW0lTETwiUlCjWNWRvfJqbDd9AcE8eO4TgNFoY9zY6ykpeR5F8TFmzNU0156hujTIVbdPoeF8C7veLWHB5fF1lc6ePUteXrTHMFEM5K3oNnp+/PhL/c4rx+uctLgCrJqUNSC5/ULDPrGMkXgGysUwXIY7bBXvepksNpZ8YgGeThdFE2IrugMc3bU1ofOoqjos5Fn1w1Zw1j721PxHo5vrfqFQVJkn9z3ESEcxaZaeVZctOZOsCTNpb6ih9th+gj4POrMVR0Yuot7A+kf+h+m5M9E0Dce4CREP7OkDx2mqOo8GSAWFpE4rxq9q7K5pR1G1UIHFXoaLqmnUnjhKztgcNK3H5alpWkQkpXt7UX1d7O8S8FG/6yU0Jci5gBXP5t8g9tZr0CJXAi3uIG/trePqUTncOG8sOjnA2W3PYNwsIBlEBL2AZWr/5SZ6w2weidncU2TyuMvL41veRa23MrKtE0MwiCKlIKZZyL3tU4hmS98hxUTvNpoGtbUuClYUkpPcv9nmCyoRirbnd9bj8stM1i/E0XmGgz/6RzhzKvwdABk4mzMVvxRgVlIbtlwddpMOu1GHzajDatR1/XYq4GFXewPZgh06ob4T6vuMQxDgdIeXEYqARSdFGMDO1AxEoQjxcIitGBQEGszJTGreSZOgEWKO6kHQIwgC7fYppPmbEAQVCRlRUNAJCogKOlWHYNRhEQT0aOgEDYOoIOkEDDoZv0VHmyODAr8J0WCEnMmIRhOC0YhgMCIYTQhGMy3WCqyGAlIX3oto78ejNQgkJ+eTnNwjvHj0xFZuuCdERM8rzqZsTxWBQJCgX8bZ7iY9Kyms3i3LMl6vF6t1aEYVDDzp9zZ64kUv91a2YjVKXBJD5mCgPv8V8WGOP2vkGA5vew9ilDcaDP5+Zg9mAhgkHROSBiol3D9cgSAG/fBM2YlqyXxs1PwHI6gGMekuXGW02X2WadmLmFdwfcR2URQZPWNp3OOOtFcwesk9qKpKW8kRslet5uj7B+hobKFgylgW3BRS2l2Y4Dh2NNaxaNrkhNqef/8wAL6OJjpO7UZ2t4bfxJlzb0RvcXBeeJL8ZbGLFAK0uQPc8ccdWJJn8vB9C7EadZx4cDbGHQKjX/hLfBLtIDDeauKenf+g+kg5Z154k0+NvDDeQTfe2HEWi0HHiXpnV+0gX0TNoO7/2z2RxQ6XyAbqRxhoWHUJo7VxpFiMpFp0pFr0JFsMpJj12EwSAgJGOY05haMZlztw2Ya6sw0szEoh0xhf8Ov58noW5SSTZ+9zz169IvxnIBDkpZff5ss3X4U5Trbc3rd2M/fa6LIUVafOk+r2M2F6fEKr09lAoLaM9PH9V9B2N27AYMoZNoMmFlpqmyM+L7thJlteP4AgCBSMz+ZseQOdrW4WXTmVs2vfJjslFR9gHDdu0On/iaDb6Ck5184Hp5uQenlHNU3DE1CYMiKJvFRLwh6Mj0LY50IwnONXVAW3s42SD7ZjMBkwdtcn65rrHalpSDojrY01pGbG8cgl8LPbRJlrCy4ZlntEvAj1qvqDgArCR4dPlCg+NmqGCQZ8GGLUrBksmlzVZFgT47fEgiiKGAtGs3/tNkbPmcLkS2PXkRoIg3oEq3ZwTgmis2eQPGYBpuTMqCb6pPgTUlBR+a+/H8Tll/n7Z+ZhNepwO08TPO4kKcsxLAYNhNzN4vET5FsDeE2JKXx2FzuMVTOorsNLY4cPg1/jgbdLe50H0m3GcEbQ3KLUcM2g7F4icsc21jD7yjj1nvriVAt6KbFfxaGT8A5AxCiwGXn+VAMmnUirP8iXJo0gs1fpCUVWePmVd7jhhiuiDBo5ION2ukCNv+LT6XQY9P27y3U6A4oycHE+UdSjqv2HHS8EmqaSlhPp7TCaDKy8eQ5SL62Xkh0nKH3sz9hTbSTfcgvBujo6N7yLecYM9FnR9/xwIBEhvX91D8w/A+3V+bRyjPFzppOSEf2+ra06hj3FjNl6YbXfoP9M1MFAL4oEL4DH1RtBuZmSkhdi7useb67PS4fln1/LabD42KgZJjhlFeMweGqaXDXMyZ8+5OPL9x6l5Vw9i29djTgY8a0+GMx6YMSnHr8gQtmP3znGvqpW/v6ZeWEhtfbvfhlFhNT7YmvTDBXecx1wyVT0XcUOG50hobhYnpX6jvjFDkPGiZlcg4GCXDtfybaHjZVMuxF9gvopiUJRVHQJCi/W+2WyDPEzpVwBmffrO7B23R9uWcUVUMjsovuoqspLr67h6qtXYrNGh9T2vr0HR5odQRQYM3dszHPodBKeOLWEuqHXm5Blf/hzX0G7DncHFQ3VJOkCJFtjl7QYDpQf3o0jLbrsgdTn+QkeKmf6Fz+NwRK6UPqcHPQ5Obi2bcNfXt7VqudeUT1e7CtXDFvWYjz8q3lgPgop3UZzMgWT4ksK5BZOHLiTBF6SWoubF1vP9d9Gg6IUM3MKUpD6vDdUVeVQTQelDZ3oBY2czuGp0D1r5lcGbPO7YxvJVi80Bf3Dx8dGzTAhqAYx9uOpOXP8A3ze9tgeEAGa3e002VtwBptYZhy8mz0QDLD9xXWMnDCKBTfGLup40TCAQVNXdzQsWNUXf99Tzd92VfOzG6YwrzgkTNXyyy/T0HKGwrmXYbv5S4MejqZpdPrlnlBQl5GinClltQv+nDmLLY/uoc0dufq3G3Uhsm2SiVEZNi4ZnR5VnblvscO3d9dwzfyhE0YThaJpEWm9/UEDTP20rXP7yTUauGdSdIxfVVVeeGobNjeUv18WwR3qpvs0nnWz8Kb+BQU9MrxzqIac1nY0TYu4ZpHeHYWz+zcDGhWNLTxw5SeA0P1c01zLsXNn8QeqmV2QQVq0btkFw+d1IQcU8mcMXGzVqBc4v7UMxR9k9A09gVzbkiUx2ysuN559+7DOj1U1/l8fQ0nnhv49S8Nt8PyzDaixQoCJM0f220ZVVU41unn1SG1MO2lCho175ubT2eHmdJn74gw0BjS0ixJavdj42KgZBmiahjxA1Ve/t52JM+NrYGw8so0Z2ZdSlDW4CVIOBti84Rna95zmys9fh2NkdFGywUCVVY5uryXoHh6m/ZEjb2M0Wpk+PbqmyJ4zLfzPm2V8akEBd8wLuYBdrz9G1ZF3yTUXkfrtP0aPT9Vodvtp6JLi7w4H9fWweAKRbtp0m4GfnHia0jFjseXP4NO5hWR3CcV1e1iGUuzwwwpxy7JGW4eXqvImpF41jkRJZM6MSONkgtXEzrZOTp7rYEVBGvmOSG+LUZIw6mMbPW+tPcPyq+eQkxWfBHvqxROcfS9UvDLe9w+4Alw+qZjJswciR04P/7Xv1CHONtWQn5HHnlOHKK2p4QuX3cgLpyvZ6dpBc+W6PosCoVdWicaKoisHOFeMcXo9BH0+Th7exbjpC/ptmzF9NKJBj6u2hZK/bmTSJ5ci9UPclGxWVLc7yqj7KGMwhspQ0rmhf8/ScIfS4vU3LL9GAp2oSiDKA9kXoigyLtvOuOz+xVV9Hj9Gy/DIeiQE7WOi8H8sZDUkRtefp2aguU8JqqQNggjp9TjZ/v5zKKrMokW3seKyZGrf3UPTxj0AmHIyyV4+u9+Xbm90tvoo+6AWgAkLsnEfak14LPGwa9fzjB9/CSkp0THrmlYPX/z7QeYWpfK9q0OuXtf+LZx+5dc43FYOPPAYddvOxAgH+QgqGs4Db+M9tYsRdzwcs9hhbw9LpsOI3t3OW/eo6Mfl8qO7EteW+KggwynT3OxhwSUF6HsZJLv3R7u2r8pM5menz6N1+tl5rp1/eBoi9nf4ZQqTokOl77x7hilT0vs1aAAMqWbyL+tfx6WpwUXT+c5+2wD89rkN5KbZ0QBFVTlnPMQ++0isBiNXzZyLKIqMsKRQbLuWBbnJcfvZVLl+wHPFgiM1k+mXXsbR3VsHbJs1L5QKkzFjNAGnm9K/bmTqZy/vd8IyTZmCr7QU89SBPUGJ4GJ7HgZjqFyMdO7hDqXF629Y1iIJdDKiYA4le15g+oI7B248ALweP2bzh2fUfOyp+Q9GUA1iah2DWnWa4x3vxGxji1HWvTc8AS+2BCq5tjrbeWfrGlK8Day69vMYeml15F3TQ6jtrKqj+qUNaLKCaDaRu3ohxqRoxdaWWhfle+ox2w3MvrIQXVSl46HhxInNjB4zN6ZB4wsqfPZv+2l1BwjIKtf/cQdCYzU/Pf4jJJfIJyc9QP2rx7AYpLDOSkGahXlFqWFD5R+B7awpb6f8J1ckJAZ35r8/TZMpmU/efuEvl+HCYF6sZneQeQtGRBg08bC5pYOxNjPn2oLcNjEnan+zy8f/rjvJI41eVA3MBpFcp8bocamMKkgexKjio/sXCcoygYBMIBgkKCsEAnJoWzBIMKiSmWLlE1f0hHIefqGNb1y6FEOvIrBWvURHoH8uQau7mrdO/h2T3oEk6Eg2pzMre86wfJdYMDisjL1uLmXPbGLKvfGNZH1mJr6SkmE7bzyjY7iMnQ9Td+afiQ9rqk7JzKP+XNLADROAz+PDPoS6dBeCjz01/6GQRIkWvwGpcAwTRg2t2Fu3G72904nDaota/dW1NLDl6E4cJjsrc2ZgMJoiDJq+sBfmYC8M1f8ION3Urt+J4vEiiCJZy+cR0Fs4vqMOR5qJedcVD1P17x50drYwPk6qbrPLjzsgMyHHgcOsZ3yantu3/y+qD3xf/RV/m30p2Ukm7EZd3JXC5b/+Ofz65wmNxf3Gn3m3PYmbJ5gwzbp0yN9puDGY14UmiUiGxH6jg04v3yzK5rc1zpj7020mfnlLT1G8DVvfR2ruwJGUila4AOECCObdEH2dHNmzl2PNWRgkEUknYdTp0OkkdJKI0aBDJ0lcvSRS3KwoKTXCoAGw6CTq3f1nP90y+fNUdZxlhDUHvU7PpsrYJSeGE5bsVHJmFXN+WykjlsRXNjZNmYJ7716sc+fGbXOhadmJhG3+2fySDwMf5nfsbHNGe/i6VyqCgCiKiJJIQ1UndmsrI8dFk9EHA583QGbuRSCWxUOXLNW/Gj42aoYBUlcu/4WUSRAQKDlznJKzxzDo9Ny25HoAaupOs/fAJvydZm679S5EUaRh3wnEQWTXGBxWCj8RWk36nW4O/eRvmBddwvzrJ8U0Zprq2khK678OT39obz+P3R7/AR6ZYuHNwKs0r9nCqNc2cWrpMjyTYdznH8R61fBWAFZa69n89BtM0wVI+/bwT3QflndWlTXEBLw0u2vbOV/Zxq8avUxIH/g3PHJwNyNTrUxaeim+pkbKnn+NkfNihEp6kWfOnz+PsrWfoqWaRsDjZfaUEYy5ZHb8djFgtxhpbu0gPbVndWvVD5xJBVCYNHQphKEidXIR5S9v48xbuyi+NjYnR5+VhVxfT6C6GkNB7LDdhXJJEvGk/Cekfn+Y33HBldE8wW6oioKiBlFllfwxMyjZWn/BRk0wKIcFID8UfHiSOMOKj42aYUDYqLmAMgmqptHobOHyaUvZdXI/h0/u40zFITIyRnDV8rspe/9A2ADRFA1hCCnDlWv24Gt3M/tH96GLI6YGcPxQJXOXTRrS9zh06A0CAS9z5twat41/73vUvrkZ91IF77sv4Zmmoa8XsF4bX5xvqKj+5n20GJNY9f37Q9WxhxkXQhQe7KGJeNPWlzfym+WJyaCWHNyNJElMmhoyPEwZmYy/6UrcdbUx23d7zexpNRQv7T/Drr25merT5f22iYUVC6by1ub9ESEpi07EO0h9jkF5wTQNbaACS3EgiiLjb1vKsb9v7bededo0XNu2IRiN6LOj6zN9GOGdf0YI6cPOZvqohMlESUKUJNADZvB56jm662z0jal1txUZMWoc9uT46tABfwDzh0wU5l9Pe+9jo2Y4ECozIF2Qp+aauSv51ss/YHb+ZFIqFdq1Jm688nOcPnCcA2u2MWlJz4pXVdRBGTVtx6s5t/MkBSum4CiM5lj0RdCroBuiHLemqcybd3v8/bJM9UNfJTBaw3BapHbL4zAGCv/7v4d0vv7gevH3vOdJ5+ZZKRgmXaS02gvw1Azu0NiTbt8+puUmcazZxcQBvDSlh/cgiAKTp0XyTnRWG0mjY2vPdMN07vBAgwVhaLVqTEYDch+vjEUn4ZUH15dOMrK5cn04rNtaCRPMZhBCRkxfroDRMlBlsv6RNjaHkiffZez18zClxeZQ2JYswbVjB4rTiWls/9d4IHxUQ0l9x/VhZTN91JFeEGDygqVR21VVRdNUVDnIiQO7mbJwWdw+NE0blIf+QqFpGqLwsfjefywutGCZQW/gs2Nu49jmfSy59YqwcF7LuXoW3XJ55LlUNaGbW5UVTr70PpZ0B1M+ffmA7bsx//LJ7NpQSsCqZ8XSwXlsFEWhvPx9xo6NzV1pa96J265iOiTgn6ARmCEw/oE/YZm0Imb7oUJpqGbbc2uYmKQj9ZtPX1BfX931J8Yl9wh1dU+IGhpJLhMQmYYvu120H/oAxetGEMVQFkFX+nHvydTodQCJKQo3B2QqN/V5mQsCJS0u9osqkgCSrKJ0BKkra6EuzdZdXBxREpFEAUkSsQfO4G88QBIuRhcVw5HKnv5EierD+9DSQxOupkKsd1pFTRtjBqAmiZJEw/mdnDhYGaq8rcpd16xr6EBdsIM2JZTxJ3ZdFxWNo20eXP7Z2IyhDC2LTiSztJXdvtBxGqGFxJjRqaQmxTZGluRH8rleP1PJ5AUJqjcPAVlzxqH4fHhbO+MaNQC2RYvwnTyJa/t2rJcMXT7/ozq59x3Xh5XN9K+KkPdVRJJ0DLTM8fl9H8qYeuM/jij885//nIceeoj777+f3/72twA88cQTPP/88xw8eJDOzk7a2tpITk6+oD4BfD4f3/jGN3jxxRfx+/2sWrWKRx99lKysC9NlGQ7Iqoymqf3q1AyEA2s/wOKwccknVg3YVkvQU1Px1i4KV83GnD44qW+r3UxHeho2B7xy4Eio5gixK7b23q6hIUhjCTY2UK/bzJLiaKKwt60cXZOAgIBhVTYFN/8BS3p8kuVgETy+j9M3fApBp5K0KAPjDbdTUbkfsyUZg8GMXm/CbLJhNCS+Mi8QUljQYQ2HKGYtvCS8b8uRp2jZp6H5vSjekDCWaDSRNH0RBkdyv/1qm15PeAznTAI3r4hWQF2hqsgayKrGO+sqWL2yEJRQKqaihiqLB4MqqqohKyql75azeOVl2PqSjlUNUFFNZyi64jP9j2XDwNwkUaeQN2Eyo8YuQxBFRFEfFT47VvILbpx8d9T2S11OXi09wD2zQwJ/oiiSl2Vn7uweEbNgUOX4qWZOlrcAYLUamDAmPW52mN5ycddvzjO1tJQ3MGnRwPeyadw4lKwsnGvXYl+6FHEIhTEvZHK/mF6efxWj40OniyRgGwxk35qMF65Y/5+AIT/p+/bt4/HHH2dqH/0Fj8fD6tWrWb16NQ899NCw9Anwta99jTVr1vDKK6+QlJTEl7/8ZW688UZ27Ngx1K8wbAgoocwMgzh4o8bv8bPr9feYtGQ2GfnRsfZYCBk1Awc71aA6aIMmfKwKSyfk0dcLMRB8so+NZ44zPjvS86KpKs4/fZ+2ta8gJMOIz9yN58rJ2IbRoAGQckKrcVuOn9xZl2G//Is0t53H63XidHYSDHgJ+l0o3fL8XW+3pPRCMjOLEASR+rpyOlrPAiAqCpefNzDu2tkY9EYO7Nwecb6M7EasRVchGU3o7YO71sOxChJFEQNwtqad1CQjDkv8e3DL3j3Up9RhG9EP58ayc8Bz1uqMvHrwSPhzrO/hDbgoTreg78d4XFx4E9sqX2DpqMg0+wybA6fPH9m4zyyk14tMndhTb6mlw8vBI7UoikZ2rp3ivOQBv8dwouFwJaJBR/lL21BllYmf7L9Ip5ScjOOKK3BtfR9DYQHG4viFP4cbH1UvT298VMNrsXDqyG7aG1vJHz+erLwL+B0F0FSNxtoWDu09hqNLgkMDdBe51EYs/Efp1LhcLu68807+/Oc/85Of/CRi3wMPPADA1q1bh63Pjo4OnnzySZ5//nmWLw+9LJ566ikmTJjA7t27mf9PliHvNmr6E9+LhfPlZzlzsIxLPrEK3SBY7aosJ6TNciEYyr3c6Gli77lNXFZ8I0Zdz+SqdrZR97nrafTX48hNIv+/n0Q/agoXXiouGlrAi22EH4wO7J/5HoIokpHWv2GmqSp1TZVUndmHpmmkZRRTVDAdQRRRGutRDOcw6I2oqorfE+kC1uPHlD5wMcOa06GCl0aTFaPZitFiQ9OGR7W5o9PP4SMN3HzduLhtNu/eTXpaMgah/6vu8w7s4pYdSdwxc1q/bZq8zZS1VMbdX964m/Lm/YxNj50dJQoQkGUMCZK705LMpHV5ck5VtbFjZzWLFvbKNLrI7+YxNy6ipaSC5uPn8bY5E1IRFkQR+/JleMvKcO/ciXXhwn7b94fBGAH/Ct6Uj7Lh5fN0su+9jUy9ZCF6owGfy8+cy67kTNk+SnZUM3n+pWF6wMEtGzCYjNhTB858sqXaee/NLej0ZorH5jN2cmF437pXt9Lhbif4fidCr2rd3fdZrDIkgiBQ3uwntc+5+ytb0nu70npxirRebAzJqPnSl77EVVddxcqVK6MMkKGivz4PHDhAMBhk5cqejIvx48eTn5/Prl27Yho1fr8fv79nted0xtbsGA74ldB59FLihknJ5n2gaSy+7YqEj1FVldbaZrxeH2fWHyRn7ljSJhcOKMP9YaGkYW+UQRMsP8jZ//oUHTkBCi69gbQv/O9FHUPT129FUzWyf/00QoLXRBBFcrNGkZsVHd7RnB2ItpB8eenBfYyfMT1iv19n5Oju30Zs0xlsjJ/ZE8I5dXg7aBqWpAzczhbaG88i+9yUe0dwfYLfq7/knHc3VXHj1WPi7t+0axdZGWlMHj2WHfs29nseS14jx/Y+GbGt76mtch0wUPX3UMgpHk61HGD56E9hMcQ2slaNm8jbxw5z09TBpYQDjClMoaU5skbOh1HO4vzBKibdvoRAp2dQK1zzpEnILS10rFmDfflyRPPgScvDZQR8VDwkH2XDq/rEUeZctpKq46W0N7Uy97JQeY7iSXPwuts5tO1d8saMI3NkEQazkcnzlybUb27hOFo6tzJrVrSX74qbl6IqiXEpu7G/vIapmRpzxw9N6uDR6mcYz/AIB36YGLRR8+KLL3Lw4EH27ds3bIMYqM/6+noMBkMUNycrK4v6+vqYxzz88MP88Ic/HLYx9oeAmrinRg4E2fXaRopnTmTEuP6l5gGyCkey982tAKiaSnJmOpW151j6yWvpKDvLu79dh3t3KZm3T4bujKWuN3h7RRvlu2oQBDAaJCxmHWajDqtJh9WoI8NhxKiX8AcVqpvdSIKAKAroRAGff/CZXDNzFnGgfjcLR4YK/ClN5zn1hdsJjoDx9/0cy7IbB93nYOD868+QG2px3HAb+rEzh6VP1dWJNCIPp7MdORAgNS0jYv/USx6MOqZs9+/Df3e0NuFtb2Tq0pui2h19N/FJKJ5jrq3DR3KyKaIeVG9s2rWL7Mx0Jo2Kb/T0htWcTMHU/lPrGxIoSaATJGQ1tgrwiYYdWA3JcQ0agDHp2aw7cWzA88RD1OX6ELzoBpOEZNRjNg5+ItClpeFYvRrXli0Yx4yJq2cTD8NlBHyUPSR98c8ywIJ+PyaLnfGzoj1rZmsys5at5kzZfuqrKwdl3BoMNiC+yORgM5+OVDbw6VWDXxT04D8g/FRTU8P999/Pe++9h8k0PKSli9EnwEMPPcTXv/718Gen00le3sWpphzm1AxAFG6qa2X7W2sZPaUwIYMGoHDaGAqn9UxI9WfOIwcD6M1GsudPYHPQzB0PxPH2hASFURQVd0DB6QniCch4vDLNHT52H23k5ksLeb+0AZNRh9kgoWoaqqoxZfTgK4WnmpLp9LexuXI9shpgymMv4M/WmPTNJzFMWzxwBxcA+Ww5nS89AbYMkr78s2HrV3V50NsdnNy/D1EUujg1oRwcRYOjqQYsFiNJehNmSUe6sYf0qakqp3e9ycwr7rvwccTxNOzeV8fCebGLRm7aHfLQ9DZoyr1NpJ58k4y0cQiIaKhhI1iU9CiqjK+lBgQRU+qImP129tKM2V/RQl2TJ6qNxx+g0tiGU97R4yIn5PU50lrJ/8y8a8DvHPE6DXagKjKilNgrq/fleqNqB+6OZgbLDxssBED2+tCZh/YeEyQJ+8qVeI8cwV1Xj3X+vOEdYAL4KHtI+uKfZYAlEjYunjQbr9tJbeXgtZqGA2VVdYzOGfw7vDdCgsL/5kbNgQMHaGxsZObMnlWwoihs27aNRx55BL/fjzRIQlMifWZnZxMIBGhvb4/w1jQ0NJAdQ8gKwGg0YjR+OEJF3eGn/ojCRw+cwuV0c+Pn72LHmrcS7rvudA3VR0+F455pI7K56kt3hVO+7fr417ukuZxixwhsBisOs4jDHBkOeLujBoCRGVaa2n3MGXPhEtyrRl0HwNpTr9FYdZj0tBEX3aABqH74LsQ8lbzvPZtw2CkhBIMIJjNzLlkStetcvROL248jXaI94MOrBKl2t2PuCN0PRz94m+K5V8Udz2BoUUofzZdOV4B3N1eRm2snyR59n2/Zs4eMtBQm99GcCSblIoo6mlpO9jI2QgM5dWgXee7zeJuex5yUT2NnLdasyaRNjszIS3HKvL27Bk0DZ6efuy4fHXX+NrefnVVWriqMfj63NLfwfNVh7iic3u93zrLbONvWTH5KOgHdTureP4/eESJPCpIOU3oGvuZG7AWjcZ2vJnXSnJhhWAGYlnTx3ehFV8zmzJp9jL35wu5387RpBBsaca5bh23FCkTD0LMqe2M4PBvD5R0Zjn7+WQaYongTame2Ohg1+UI8JUPH3vJa7r18oBDxQPjXlBQelFGzYsUKSktLI7bde++9jB8/ngcffHDQBk2ifc6aNQu9Xs+mTZu46aaQG//kyZOcPXuWBQtiS5N/mNDQ0ARiChWpqsqO9w6Qk5fF5FmJhQDqzlZzZMs+kuzJZOTlMvfapXE5M852H7UtbnLTotNCTzsbONpey+y0QsamFMY9X5vLT17mwMU0E4HT72bnufcoknLxKSqOqZcMfNAFou6N7+Au7yDt1inoCsZf9PN1wx9QsJuN5Fsd5HddfqerjTMZY6mvOY3eZCElI77Yoc/bf5HGbnh9QXxKzwsmKKu8s66CT9wwLmbYadO2s7zfUMmXJsXw4AkC48ZcFf1dvC7qPzjM9E//LWJ7x5k9nNv6CAg9z7ax5SjX3Hhdv2PWgHim5e9mX8sj5btxB/1Y9fEXHtdOnM7T+3fxhQWXEszMY8TUnnE37t+Gu/Yc6dPm07T/A1RfALnYhcEaCmlJ9Ud5o6oaAegMBvgw4k+GJBvKAIU3E4U+KxPdZZfRuXkzpomTMIyM7TUbDIbDszFc3pGL7WW5mKEpnf7iFZUURQFFUYY0l3ajsq6FnJThGeO/ffjJbrczefLkiG1Wq5W0tLTw9vr6eurr6zl9+jQApaWl2O128vPzwyzsFStWcMMNN/DlL385oT6TkpL49Kc/zde//nVSU1NxOBx85StfYcGCBf/0zKf+IAdltqzdzZxLppKc1sMfEOIs0atPnqDy+FFSs3JwZI9hwar+M0wA5qKj9HxHTKNGFEXuKF7M5nP7OedpYfmI2Jb7+JFJbCtpoDjLnuA3i8aJxr2cdTVgkkwszV+Fvq2ZEkDQ90+ebnroLvwVlRhG5JL5m1cGfd6W2k20/+U1kkQLTBlHS+nv6Xac6kwZiKYsvGIBRrMDmyMFKYFsGv++jQTKSxAkHd5qPaZlsYUBFUXDaIz8Lc+c3AbA6++tZerln4x7DkVW0QngcQYQRJBEMfw06nRihBHbWFVFsXc7JVtDxv/Jtklcc+WomAbNxverSU+3kKE3k2VLzDvh6mjm0FP/x6L/+p+ofUnF80gqjgyDuF96f8A+B3oVfrJoGr8p3813J8VX8TPpDQTilkfQECUdqhzAd6YZKdVE+/FD4bMX5TmYU9jDeTjasnXAMQ8HhjMrUdDpcFx+OZ6Dh5Ab6rHMin5+P+ysp+HyjlxsL8u/EjeoNzIyRlJff4oRI4a+ONtaWsXdK2cM3HAAaNp/QPgpETz22GMRBN0lS0Ju+6eeeop77rkHgIqKCpqbmwfV729+8xtEUeSmm26KEN/7qKKz3c2urQdZesV8DMaeiT3g90fxAtqbmzm0bTOZeQUsvf5mAHa/F+m9igdZBX2cF2n31uUjZ1PeVsXfT2/hxsL5mHWR2RVpdiM66cJu3oqOalaPuhFJDK0wtNQcjK1Qu+dVbHd+DdHSYzBpqop8uoSmh79FfaAK9KC1N9GwehxZE6YOaNx0/u0X+EoP0ZneDsdboQKyn/kFxrmX9ZxDCdDRdobdZS9QmLICJVBF0ONEizdJCkLoKd5fwrgVK7DfGeJjBV7cSttrPdo0glGP16inLicXZ7OX6TMj+SzTZ13X9T98d8tezEIaJp0Bo6TDqDNg0ukx6fVISMi1Pk4faAQ0FEUDTUPTQJVV0mpfwFI0HgEBExqXXHMnktFE2Y61KM5WtnzQc0/JQZXsbBteb5D0dDPTJ2Wwc0/sld741PE8UfIEn5v6ufC2s2W70efn8f6j32PlA7/s99oD4DpP46bXAQHV20nSnJUgCAiCiKYqaHIQn9uLoMZfLSbpzbjlgb0a3andfeFvaEU2t2JU7BTc+YmEuTYXgq2Hd9PqaaPbLS+KIjaLhUxHOlnJ6aTZUzHaTHhbnJjThk+wwDJzBsHaWpzr12NfsSJiofBRnLw/ChlU8Yym7rE99fuXP/xBJYDs7CkcPfrekI2ahjYnyVbjsGTDXqhK/j8LF/wm6KtHk4gFXlVVNag+AUwmE3/84x/54x//OLgB/hNQV9PMyZIKVl67KOrm8rpdmCyhUI8sB9mzYR2iTsel198c0TbgTSz7SNFU9HFY8b1vybEpheTZs3j33EECqsLMtCLO17p4eu0p0lJNF1xtenH+Kt478yZ6yYSiyRglCzMf+Aan//Yr6n55H7nfeYHWP32L5mNb8DR7kJoEfDNULMcFRn3nF7Svf5Y6bymuvcfxXj0b2eNDlAU8HUGsGSbMY/LJ+tNbeDa/xKkNf0HSwLBPQOcUyLptSYRBA1Db0UhJ5UEuv+T7g3Ll7mowY5zZ4z1IvW1p+G9VVdE8fmrKytE0DxMmZ+Owxec7SJYKnH4zzZ4O/HKQgCzjV4ME5CCegI/8cclMXRrbG9e4aTyZKyKzxdqa6pD9Lm67+8qo9rsP1pGaamL6pP61JZaMXMKJ1hMR2yYuDFVG3/vG43g9TtrqqjhXuivq2G4OTppzP5kr/gxAwNmO69RRIKReLIo6kHSIqp+RulrikXM31pWzKntgsvwV4yfx5rFD9C3zl3nJJUhWO1XVf6Czs4yRIwciHgtomoowxFo2bp+HVk8bNy7sCekpskqHs5OGjiZOVFXS5jmI1+RkTFk9s5dcP6TzxIM+NxddejqdmzZhnj49XBTzo0jsHYyhpSgKJ0+eJDs7O0pP5WJgWIzAizjX63QmVDU45OPX7jvFJ5dPH7bx/NuHnz7GwDhVVk1rUztLr4qdueBxuTCaLRzds4um8+eYu3IVVkf0qq6jw8mud0ti9qF6ZLIsXaRen4orILP+yPnQ5143oa1dg8Ke48w6M9cVhqTn9zQcJW16K1bJwMz0UZh1JvxyAL2oG5KV7zA6WD26ZxKudzeybVIr2fp0Go+UUP1/EzCWCqQ2W7CaUmi2tmGXbIx9ZzeSzoB58XW0fXUanS0+AoWhbDKpRcA8zkBbu5fm4AkCty3CaW/HcU7PqHcPIPQjG77x4Mvctez+C4pN94UoimAz4zdJjEi3kZUe6Ylo8Dr5Tdlb5FlDhkVx2kiWFcdWTO5wdXLwWOIpy2cqK2na+zJzb/l/MffPnzlwodLwOI8dhGjRbmqrymj5+QOkzZzH3Os/H/f4o7t7iJIGRzKps6J5Uy3OFnxnS2htbwCIEAgTEDjaUMVXp6yg0dNIlbMKX9CHR/bglb34FB8+2UdACSAIAiVl9VybH2kcGZNCqfXFRd+g7NjXCAbbe+0VCAZbGDv2+722iBdk1JyqrmZCQSQhWtKJpKYmkZqaxAR69r23/k9DOsdAEAwGHKtX49m3j2BdHZYZFx5iuBgYjKEVDAax2Wy0tLQMyagZrFeoe2zVZS2DPteHh6EZEq1ONxajHp3uX7C09jDiY6NmGFF9uJ4RSSOYF2f1DRDweik/uI8ZS1cweV58krMjX2PBpTFmHqBiy1FGLetZ5U6O2Qoa95+K2/+8rMnMAzr8nZS2nsGvBPEpQWRNZdPZbeSnz8Gki6z0rKFxzNnOT6csIdXYPxEt25rJVWM+wVufKWf0/c/hWqlhahMpWn8YgJExjim4/iFcORsw5o1F62gj6c5vISan0/qTL3J+3RZa0pvRfFD49f/Xr0EDcMPCT7Nu/7Msn/4JLMbESdBCR/uAbbz+IOYYVZ3/dnorP5l5Ozpx4JeKPxDA2G9WS+SLrbioiEDTTM4c3c2oqQMrz/Y3eef7rWzc8ETENg0VSadj7M33Ule6p//OE1CyS7I4kPwdNDVGr4o1VWG5GODdtfdTkpbDooKl2A12sqxZWHQWzDozVoMVoxhyo2/z/o6JpvaY5xFFkSmTfxe1vbKyj0dXENA0maG+8pLMdpq8jQm11S6y0p9lzhwC587hfPdd7MuXIySougwfjdBQb4S8e2LMiu6JjPWjGH77Z+HtPSe5Y9nAPMxEoWnqx5ya/2TkO4sx2Y1MmT2233YF48ZTMG7geGl/br/hdAkmGe1ckhP5IPg7trOqaApJ5uhioX8+vRfTIJSTp829m9pfnGVE2QEcP7mNlpLf4lGCHLeNQaczRVSwpigZij4ReowEEZ2zFJ3biOHTn0a6fAm+jX/FZB9H87LVuDwtmCQTBsmEURIR+1wThyWJVbPuZP3+51g58zbMCRawDOiNnNx9mHHzp8dt4w0EkIPRLmKLzpSQQQPgC/gxDECi7ovxcy/j9JEdnNj7HuP7hNv6QokjfAcwInscK1d9Lmr7Xu/jjJq6mFFTB0hJTkCnQ6fTM2PW9f22yS47gCQmsWjhon7bjS6+jMoD/0v6BbyvuyfOoTruku1JnK7pf/IM+Dxs3PhnJozr//sMBwwjR6LLyKDzvfewzJ6NLiNj4IP4aBkBmqZRU1NDWlrI69zR0UFSr9T7RMY65PDbBdmdH72J3uMLoJNE9MPqpRE+Nmr+k1GRfoCsUfdccD9ry07g9vlpkIxEK6MMDrLsHrhRDNgNyTENGgBJEPEpQSy6xLQzCpLyOJcxg+IHezwDwcYqRrlaGFUUX0dBVWV8SoCA4scn+/GOS8c3ejaaqtDha6ZR9qOoPoKKn4CqsKu5ilvTFHR9jJtMs5sNhz6IE4YKZUn1/A1MTYFNb2Cv3YAjYAZRRDRbEax2RHsygtHMbIvG8+9t5t7rVmG19IQO23yJu7RlWUE3SIVQgNHTFlF98jDHNz3HhBXxeSS1rlpOVZ5gTFHihMPOQGdiDRMw3DSfB/QGhDgEXi0YwG60keTI5EjpRqZNWRmzHUBuxkQOmS6MeCuKIqqswODsyDCsFjNeX/91sTzeTiwmG0VjPhxtEtFoxHHFFbh37yZYX495ysDFYT8qHBxVVdm5cyezZs3C3FUW4uTJkxFGzcUcq889dN7KRxFv7DrG9QsnDmufgvCvSRb+2KgZBvQuIHah8PoD3DJrGn8vPRG3TaLubV2f8NFw4JKMfN5vrOSGvHhBr2hY9ZEZQk21xxg3qf8qxqKowyLqsOj7Dx25Ah5eqdzJA9M+hc0QHRIrSniUvTB7Bc0lv8E29atowQCa24nqakPrbEfze7HKfm4qdvCPI1u5a8G1PF91mJKORhxKM48feTx8HzRXNTMqO7qelIBAR4ebmblz4g4h7suks4GC6tdotY3i0LvPMX3lHTHF/W5wj6bm5G7Ky9YzMnscE6cuQ2/oP2SXPWIs504dYuSYAbgaCdx/vvVPQMCL4MjEeNndUcaN792nMCy9i7mpWRzbvYZNm/7CihWfidMbCFn9VBZPAKIkoqqDL/3RDb1BQpH791Alp2ThC3jxepxUnNxDXf1pJkxczMiCxJ+VocA6fz6Bqio6N2/Btmxpwu8hf2UldGcDdh0j2uzosyLJ5omEgVS/H6W9I/xZEIV+vUeiKJKenh6x2LBYLNTW1pKbG1shezhhsg3Rur0ANLrOcaC5Ehm4Mm8+UhyP9+mt+5g584ZB9R1UVKym4RFp7IaAiDpMRXc/THxs1AwDgmoQg1DI9hP1lBj9HNckRhlDD6s7ECS91ztGEELGj6pq4dBLNzQ0mjsGLrz5z2Skj3VksqF+cO7rvi7MDkUlEPBh0JvwB7wcPfQWAiIz590yqH5rXQ1sqivjk2OWohMvzq0s6A0IyemIyZH5NzmAf9fjPHpqN4qm8aPJyzFIl0e0ea3zNW6aG13zCaCyvBa/K3adl5b929DZ+5AmVRV2/h7UIKz4H1IlHWJzPSXvv8a0ZdHXLejxsvy6ewA4X13GB9v+jtI1gaWfaoJVUYcwadG1bH70OwMbNf3df3IA9v8VseUQxk8/g1Jfhe/N34UypyQd3SUmECSk1JA3cOL8qzi/4XHcHS1Yk+KpWg98zweCTtyuYyQlzY0+WhJR42reDAxBEBJatS5f+Wle/cfDZKaMRFaDNDVUXXSjBsBQWIiUnIxr82bsK2LrKvWFr7QUy5w5EUaq9/Bh9Ksi7+NEwkDuHTvRj+gRCNQCfnzHj2NbEt/f3NHRgSzLGLq4ZSNHjgzrm/0zUFnr5PCZNgRRRBTi33FBwUpF1Y5B9a2hkWpMZcnIBQQVPy9V7mCcI4tZmdHGemp2KjvXvZ1w335/kGRzjyHa4fLy1/cOkT2AAF/34tgfVFg2tYjC7J53TllVHbTmRCmZ/yvgY6NmGBBQAlSkeFg9eRQplhyaz7dwV0EWj59txKOq3NRLKr77JhGg3yyjgVzdFxM2YzLrjj8Wsa3RfZ5VYz9FtmMMgV4r3tIj60jNHEVu1uiEyxMsmnElhw++gSBIiJKOKTOvo6xk4CKJvVHWepryjno+OaZ/j8/FgrvmPfLFo4xOW0hRamy3/+gRo9l7ai9zx8SYZAFzr/IGvuZGOo58AEE/lnGzsBf14mad2gSVW2DOZyGlhyCenJ5Nc2ou504fZeTo+BPniIJJjCiYFP7cdOaxuG2tOQnUR4rlqTnzPlR9EFIennEnal0oQ0rKLsR84zcG7NIXcGNxDD2l1+s9T/XZJ0hPu5QzZ36FJFkjqtdLohg26i4mDAYzd9z6I9av+QOrVn8JcRiz7/qDpmk0VTTTXN5Jcuo5Rs6IRcUPwbNvH6rPh6GgAH1OZNacv+JMVPuBwkCKy40WCGAaF8kn9JWX4z9zBmNxcczjZs+eTVlZGZMmTUKSJIIxeGoXC2da3JTs8oAQCjxrikZ6hoXrF+UnsGi8wBpiOh13jF7K0eZTPH96K8tzJ5Nt6Vk0ZeZlMHXxNQl319jUxrGTPcbgS9uPcvOiCeRlJlb7SVVV3jt4ih3HziIIoKoao3NTGZFxEo1xiX+vjwg+NmqGAcEuXQG9pEdEpMzt5f8q62kIBPnFuMgHQEpw4jeZ+qlblaCGzVAxKWsxTn8TqqqiakHOtp/AqDPjk924g36qPW5kVUEnSqhKkGDQx5FDb4c9TzqjlaLiOVgtsRVtBVFkxuxIDZbBEtL2Nx7n7vGJP/iDQaD9FAZLfBe44mvD07yPy+b9gXcOPURR6sMx200rnMaL77/I7FGzowxYOSBjUD00bNgOgoAuKY2MJVcj6rtcyAEP7PsL+J2QPQ0u/0nMc4yetoiDv/geNfnVEdvdddGZOq3PP4/S0dETchgico6vhWAXEVkDlADkzoDl3+lpNEhv4sIpV7Np85OsjBOC6uws68po6s2DCiEot6NztZGj5kL7TpJHLaKu/h+ADBiQXefRddZS+2IZzfY0+mWJahqK20vq/KmkTR/6C31M4Sw2f/AsKy+9Z8h9JIqOivOcff8Y2VNHMPmL11N3sonG19dgyYinKK1hW9xDBtc0Dff20H3Y18iJBzUQCNekcm3diuOqaO0k09ixeA4cwPX+++gyMzFNiPRKSJLExIkTOXnyJMnJyWRnZ2M0Gjlx4gQ2m40RI0bQ3NxMR0cHeXl56PV6Ojs7sVgs6AdJso/CpGSuGUaBxKFgcvoYJqaO4tnTm7l7bA+nTNM0Dm99EoPFwcS5A3uv/cFgRNKB3WxI2KCB0OJ61ezoe/1PBwW0eJV0P8L42KgZBnRX6daLeiw6kT9OLOS3VfUk6URcsoxtECmX4T4byjnddjRim6Q3Iun0uNplgid0iMnJiMmpCMNY3RxgfflfmZy1AEnQI4kS8/Kvw2pMRlVVvnd0Cw9PWYoc9HPk8NsoAS+FM6+F/J70c7eng8qKvfhcTUyYfnVC50zNGsuZyoMUF80cuDGQZLp4Ql2dp19GsKTTceolbPmrkYyRk0Pz0d+SOeM7HKvdSFFW/54iWZE5VnOMyX1CEBbvCbSmOjJX3YXQazXv27We4MEN2Cfnwqx7wDZwVsvYkanYbouu59QXSoeTjC9+sd82iYQ26ydeQ9r8r4Y/B4MB9PoLi+enFY4lpekkZ47vpnhCdOkTu30SRUXxx+48+Gscs76O8+BvSU9fRnr6MgBkdy2d2/4bc5uNtEmrsSyJnnz7wn2+mfaj0WGQwRjeoyYtRCqFrduepTB7AmUnt2O1JLF0xYVXbO+N5iMVNBypZMp9PdlwDptAuzUN2+LESsi4Nm3CMm8ekn3gMimq349r82ZEuwMtGABBQLSY49433aUdXNu3x9yv0+mYOHEiHR0dnDhxgry8PPLz83G5XJw6dYrU1FSKioo4e/YssizjcDhobW1FlmUCgQBjxowJh6/+FSGKIkl9MjOnLbkHgJb6E+zd8HvmrvpqjCN7IMsyOn3PHDNckgKJhlw/avjYqBkGdHtqDFLkw1VkNtESVIZk1BRmJTN6So+yraaqyH4PatBPRqEfwe1FaagneOoUxJGbD8iH2XtwJ23WNMw6KzrRgF4yhtKgdRYshiSqWktxBdoBcAU6sBmSyLblMzU3MhtFVVV+cmwbXx49B6veyKmj7xI8d5DCxV+kobkaASFU0FMQEASJ3LypaJrGiZK1+JpOw8xr+/2++SMnsGv9rygqmB4zjOWTgxzrqGVmWij8cjFZRanTvo7ibyPgPI37/Hs4im8O72s/8TRJBdfhll00dBxl2YQH+u1Lr9MzbkT0Kkin17DNXY4gSahtjXjW/R1NVTHOWISQXgyXfiXxARsMaMEAwoCGxcAvKLXFz5pNz8Ylv2tonHOpyAffDPWmgfvsPhZe96Pw76bUVyEkR1fnHgiz5lzD+rWPxDRqhgq5swbjlHux5C3H9eLvEzpGMhtQff7/3957x8dR3fv7z8xsVdlVL7aabcly773jhg0YgwkQIIGQBNJISHJvfoTc3LSbdvNNIblJSCCEUEM33djYxgXj3qtsWZJVrF5WddvM/P5YaaWVdqVdaWXJZh699NrdmTNnzpydnXnPOZ/SY3moF/isyQtQTkNFTSE3rvsOH24OPO0XKhX7TlN7vpzY0SlMvLfbb1WWEYJMe6IqCoLBEJSgAWjdt6+fmcN7b4/VasVqtXL69GnGjx9PVFQUY8d2TmeNGtXT5L+8vByn03lVixqXolJfeJZDNRXe0VyzOZqk2DTO7X+TpIy+PZocDid63SAYPgsgD8C4fqjQRE0Y6Bip6S5qHIqCOUwJ7gRRRG+OAnO7R1MQYSnSWMGlg39m+Zh7ccjNONytuGQ7DncbDncrda2XMepMLBnT+9M7wL0H3md9agb69h9eYsZ0dNHJtLbVQ7vRs6rI7TdD1ZNSQFV4zx3HzNTZvHN4CysmLCDC7N8j68Sx98iavsGvoLnYVM2LF3di1pm8omYwEfRmdHozrqZCdMbOuW5H7SlUxYkubhIfnf4VqyY+6rNdSXEBl06fJ2N8DhlZHq+nhZMW8ua+N7l9ke8wsiq7UcuLaHrvRcToGCJv+5o3oKDz8PaQ2nshQaHllT+SMmkO2VM9Qlhxuql/eTOCTvBOBbkr6vusy2KMYd6KwIk4Af532y6mzug0AC1KHMXxYx7DRgGBguISblj22ZCO4XLRKY4c30xm2kS/6wP9ihS3HcVRh9LanktOZ0K21yKZ2g2OBQk1xLDz+kgTLYUlFDz/fvsSj5iR6y7Agr5HeroyeuICOixKhHZNJMtuTh/bSlLyKFLS+p7ictsdVB48T1NprccGRFGJH5fWQ8x0oCoKQpDhAhwXLmAc23tsra5EzJ5N6969RC0NnIg0GAJ5VGVnZ1NQUEB2dnaALftX73DFrigkx81j1tTOkdwjR96grGY/C9d/v7NcSx0l5/eQM73nlHtbmwOzudNcIVyOJEKHwdFVhiZqwoDXpkbsVMsq4FBUTP2IRRJu9Dojep2RKGMgz5K++cvMFZyzVfHe5Tw+qLrMM7PXEmPpW1lZjBXcmJWCLLvZdmoXIyzxTBrVM4qaIrtJTe5pULi57BQXG8v5rykbeDxvq3f5lfituR21GKI9bVJlNw2FL2Od+ggfnv4ly8Z/F10XEVtbW0VFcSmL1q7h9IkjHDu4jxLVY5d0y7xbetTtqHZgsudh+fz3ego5Y2jZ0tsiRRZ89jscePPvWOJTSUobi+p0ojrsxH/e432lKArnHjfT+PKublv79mR5uUxfz4apkb7D5VkZU3ymH0ubPsEYE9q5dvLMDm5aH9igWL20h4bGGkR9h0dHe5+JOkSjFUOGZ7opavy9NB35PWLUCKInfhEkPYLi67bcF5LRwLhv94wBVPGv3wd9PP6wWhL58IPHccsupkxaQUHBEYoKjzNv8R3eMq1V9ZR8dBJVVVAVFUEUkHQSiVNHk7pwYlApTFRZDdpo311V7VfUOAoLcV68iNzQgHVD58OGGBGBaLHgqqjw5p/qD4E8qoxGI7Ise/OMdefy5cu0tHjibzU2NjJunG8cpuEUXDAY7IriJyGxQHRcKid2PwN4ppMaa8rInLiYY7v+ybQlvlOYTpcLqyX84Ts0UfMpxiW7kATJM/3SBZMo8GRJDTmRRm4OwXArnNS7ggvA97133sQgiaTFWKhva+MHK9b6rLfqzcxNyEQvGnijVuGvJTXe871r+LquP09BgFbZ4+0lSTpWT13OxbLzvHvkQ1ZMWIDZFNjl0K3I/PXch4yOTuHr41e176ezdkkQ+emRPaS3OUg0eozlPjPfj5/yAJDtdUiJHs+l2pN/QMnawJbTv+b6ST/AqPONn3Ph+EnmLfe40k6cMoOC/PPEnm5h/o3LkPxE+XS59Bivu93vzaeupp6a9//R/lQOiuxC6sUwsuLSBcTZOpLGTqWt0TMaI0VFIFmiaDl8lsiZ4z0ZpceOImNV7yNdtrf6vooZBkGoZ2VMZd/ul5m3+E6/663x84iZ/VCf9Yj6CKxzf0j9R9+GiSAIelTFv+t8qEjW4NNt+GP2Al/3/pGZE8k7tZv9H79KSssoWqobMcdEkH3rfCRD/6cTVFkOWtToEhNo+fhjEESM2WNoPXQYyRKNPjWV6JUrkW02mnfsIOq660CWceTnI9fWYsjK6nf7oHePqpSUFCorK0nxI5paW1vJycnpV71dKWhzQK3/8BkuVWVFvAXpCoTOaHXLGPykNBk1cTWOtibOHXwdgLSxc2mxVREZ3fNBUna70Q/gfLnW0ERNGHAqTqRuUVYzTAZK7E4kARpcQzcvWVwbx+Of7Oi1TG1LK3MyR3L7FE8wuEDlG1orGB8dyU2xKo32fKbHJrM8OfAFxqkodP+5jhk5lszkUWw7tYtUSzxTRk+juPQslrhOL7G91Rf56PIJvjR2BcnmTg+Fi02l/OXsFuJNFj47aj4FthK+MH8koijyzqHwDzfLLhuSOYnm4g/QR2dz/NhbrF364x7z1wUFeVgTfUcmRmePJW1EBkc/2Mf4+ZOJ7OZpobrciAGEiisqgzE3fCHodp7e9hwAGePmsO/lP5I5wZNMNfaO67Ft3oNt0x6saxcGEzNvwDQ3NWPyc1y2+kpqKgpwy25k2YnL5cTtdmJqlRhhiyFJgfryCrZX/YPlt/nxgAqx7aacW7Dt/RnGUWtQVc/vT7bVYSsowBrAxbgv9HoTLa22gF59/SF30mJee+2XRNisTP7S6r43CAJVUYOefjKNGwfjxuEsKqJl7z5ibr3FZ71ktWKeMoWWjz9GkCQMmZmYVgaO/txLq4IuabVaKS8v9ytqwsWX0gKPMu+pb8KtqldE1FwoLmFcmq+nZemRU0jNNgRBYOL8z6LTm6i+fApjhIURo3uGh2htamLToTy+eEM8Op0UvtxjWkThTy8uxYVO9L2Q39YlkNFQMiEqk2ULlgVc/69De5geO5Ibx3dOCTU6HD4xPgBaHA3szf8b1ohMcpU2djSb2W5vAZeN5Wn+w8IbAjwt6nR6rp+2gqLyfN4/uhVTczkzp92A3e3ir3lbyIpK4QdTe0bU/N2c+wF4Mu8j/nr2Q/IabRyvmMn0EaOIiYjiuV3vEBsRxU2zrguma4JCcdTSVneCFnsSs2d9k4M7djBh9gxi2qdXykovYaupY/qcnslJWxua0Rv02Krqe4oaRUYKZEDezyieOr2B0fOvZ8+Lv2f+Z7/t8ay4fiGtx8/T8NZ2hIie0Y2742gLMlVCAPbvO8icuT3Ph90fv8j47HkYjRFIOgt6vQlJZ+DskVOMv2k+ol5iumM2e459FKDm0C6u5rRlKOg598G/SJ11O1GAfuYS9v7596z4/Z97lHe6HDhbm5FdDmSnHdntQlEVZLcbRXUjy24iE5I5/dHrzLkxfB5MJ45/yNTxS5FPhC9GSygjNR0YsrICjr7oEhJ8XMAHm/r6emw2G7Is90hvMtjJQsEzUqO/QgFOG1pbSYvxFckJI6cxdYmv7UziiMBxqGJ1TtbOmMDTHx5hUmZSwHKhIiBckf4ON5qoCQNO2YlOCHOQLTk8Q+Z9/TS/MKtn8r17ZszmW2++zp83dBq37rv4T1ZO+D56nceYtcNM9K0QI2t2JSs1G6PFwvNnHBw/9Bw2azwPT7yN2D6yaj+Q6xEtxQ3VHCg5z/QRo1g8YS6LIbwjNqpKzek/kzT9v2k5+DyWmHjmrVjB4b0fE5eYiKATaaiqYca8nn1YcCgPVZaZurrnkxWAKiuBsysP4II6YswUomKT2PX0L8hZuo5Lh3ey4M6HaTt5HoKYPTHENnH6wFPtnxToMtbW0Spbswz4z9t1XmhA2fsCAiIqneKssbWeMeN9hd+5i6fIGT8FUe/57djb2og0+bcNCObSeunA+zhbm9sbK6DILibe8WtOffgCLbYGksfOQorzH5tkz9uPY4mMR2c0IRqMiDoJUdQhihKS6Hlvio5l5Hj/32d/sVqTqblwkYT4AQZ0a6e1so7Kg+dIyA0u3sxwoHsU4ejoaObOnRvWfYRiQKyq9EiQO1iEI2Gk7HaTGB/DA2tTOXCuGJM+TLd14cqIyHCjiZow4FbcSGEO02/W6fno5M5+b99xKh5UrYTqp5BmjWN8im9agHdrXbxzfBtqtx9hhAjQU9h0t6/xkzoSgARjFA/PWE25LZ3z1Qf7FDRdqWtrwdqLXc5AcTlqiBl1O7Lbhd4QA3jiSsxeuITzZ09hb2ryK2iKj19Eb9CTPiWwZ4uqKgGNPkO9kHQvb4lLYeHnv8fuf/wPEcmeoW0pOgq1uW/7KkuihfEz7u61zIVehKwjPZlVuX3nrbG3tVJXUM64VZ1PoIfO7GXm5J4jXgDVNTVc2v8emXMDx+NxtrWQs+yOHssnrboHUW+i4JO3Am6bOmIsMeljgvJG6i+y7KalrhJLYmc6gbiYVPYdfZPp3+095EFX3HYHtSeLaCis8hnVU1UBc4yZxAQRk9oa1rYPNsF6O/XXs2f4GhD3/K2HGvDO7XJ6gxHOGZdB2GS3Jmo+vSiqEnZlP3/SsrDUc/JQUVjquTU5miVj+w7w1l8y46Zgs1dxrGwL00YGZ1vQ0NZMXER3T6HwfQ8ps39O1bGdOFxvkZTra0cwdrz/4eDyvBJcThdjZveRHbu3a0XIoqbndJXeYGL513/B0S0vYKstJ3r5bOqe2QJ9+DYFs+dAZeocLViCyN4uyzKHd+1mzorOwIWVteXUtNYQE+3foN4ZO46E0VPI2/7vgNN2gX6C+ggLrrbmXj2HRoyZysUznwyaqFEUhdff+CUjU8fSeqgOt+LGakmisqaIMYlTEP0Yk/sjf+MeZKdM/IR0j0Gxn6fy5k/2QphCSVwJVFUN6O3UFbfb3WM6KliGS3by7jjdPe0tna2hCVJVUQNPZQ8AAS343qcWlx+D2O6cqz1HedMln6Bmvang2IgkpicHF13XH8/uPUik0UhtuRPICnKbIhpaXQgCVJ+9xIGqv3vbqOgLIPhwFiFz5MhGVFXhZF0xU1JX+tyAfrr9ORIjfW92giBysa6Yh+f5xn+parRR33ACgz4CSYpAFE1IkhlRNPXrKU8WW0ifHVzMlYoLpdSUVzF5mf+pGR+aeklcGmI7W9yBR2AmLF7Pia0vMXvdlznncJClBB4hCpZArXu1+Bg3jgicTVtVVBSXzOWyS1gT430Mrk+cP8IdywPHxxEkicjEdHKX39WvNksGM6JOT3Rsgt/1lqSROD6u6VfdwWBrrCQrOZc5izzeXQ1vv01jXRsLbv0+517aEVQdl7YcIio1jpR5fWQsVxWG26VdkCSad3/sd52xoIALqtrjvFRVlUuXLhEdHU10dDQ6nY6amhq/gfgGwlDFtvnwTB7TszJ6LDdEDt7ocygMZeLkgTC8zvyrFCUIS/nLjUUsH7Um6Dq3F4aW4LE7EUYDt82YgsN2LKjytlYnjW0uvrXC4830xJHd6F1xTL/dIxpKd/Q0rgwXiqIgCAIzZtxGat1l3j7wtk9sl8TIWL4+N7h0C1NHL8SJgkmUccstKM5aZLkNRbHTOQnmfzLsk8LOyMxK4TGuGyNibGjDuaPdvqld4OkX3oBg6Jmb6+KxPBbeHlyGZMEaE1S5YIjSB45rYzRHITsctLa2YU818syhUu6f0/NC6m3XANrRpgikRfY0kFcUhSPvb0Mwi2CUMMREMX7KNJ8ysZGxlFUVk5bi3+V8oE+MoiQxav7NuIpfGVA9odLaWMuePa/gUlwsmNcZmVptayNx8hTKjxYSneYRWhde240iKwT6FqwZCX0LGgBFQdAPfXysrkQuWNDLWpUoP7FyTp06hdVqZdq0aeh0OgRB8IkyHC66T01ZdRLVTheJ/XCTVlWV5/YexGQ0IAmiNx+e7/imgKIquBWFVRN6jgw6DhzgcH4+5rjO35IxOpox6zf0KKvRE03UhAFZlcNi8DWUPP1JEV9e5HF1dThdWGfPwmgroi4/n7jsbCRjFK7mOvRR4ffqkmUHouQ5FUfEjSAjKYNXdr9ChDGCrJRRVLfU9/DGCoSKjiizBbMx9FM7uqaKZblJnNz1FglzbsKS2fOCo9rbcG59Cd3UpUgjs3zW5Uwfz4ktB5m0YiZiHy61alMj1Y8/Tk/LI2iuqeTM888EfU5VVxfz17QtQKfhYddBwKiEJIS9+7nu+qWcblDYeaGGpTn+RyyCYWZCNm+229XkNzXwn5M905Kjdx7mwJmTngt5+0hkx9OemUjSm0fgOHKR5O99qUedDreD8qqygKLmSjw1hnsPl8vyOHToHdasfQiDwTc/W+ydd1L1u98Rdcfnqa+uBUCRVXLvHFikXvDcWMWraPopEJMmBfb4CSfdp6amWyJ4r9rGTUkxIddV0GBjVEIci8f2LyIyQNr4yYy909c27Mzzz/S7voGg2dR8SvHY1IT3yaiutZhthZuINsYyLn4CFmNoGWU7bm7B3AycbgVZUYkyeU6HgvI6MpOsjJm6lIL9+4jLziY6bQaNlw4RPzE8sTR82ipI1NdV4HC0YDRGMmP0DGaMnoHdZedowVHG6A089smbfHdR4CeV1z46iIBAWUMrFkcKOTnZ/ZpmcdhbQZVJ9SNobPU1WKxxGG+4D+ee91Gqy5AyxuLa/Qb65Z8lKXsEluRYjmzay4RFUyk6ep64tCRSctJ6irLoaBLv9B9oLogMGD4U7PyEG8f18iTc5eF+UTx8fLGGZw+VMHuklfGpoWcqPlFb2Fm1xSNy7XY7iVkTmLO695Gqun9v8rt84YzrKCy+wLb977N8ztohGfp2tTSRd3InbrcLRXYhy25k2YVbdnlcu5X2ZaqKjBJQdHpGlVRQVG5e/58B9yfFxWGO0lNW2xzeA5FlGOAU45VEl5SEq6wM/ciRfRe+AgiCwJRoM8caW5lm6em48ExZDRkmX9uxjlv/yX37uS4rjaKiIrIGGKDQp029SO59ZW30dFcID5qo+ZTiUpWw2+V9ZuKDAFS1VnOy+hh2l+fCp6KSZhnD2NixAW/aLU6nd7i+qc3Jv3cc93lq7p6ssLDWToxZx1ObD7Fy2mguXK5h0aRR6CNNVF68yHggYsQEqk+/RVvNRXxdfTveK57hAUHo/NxRQmnAGO3EZMnFOranZ41OZ2DRonvZ88nzzJt7J0ajZ07ZpDdhUFNx2ipodJTx3NHtfH76co5dKKa8pgFRFBEFAVEUERC47TpPfJTCwkJkWQ5J1MiKiiQKyE47RrFngtDLheeoOLcXRXaRNeN64uevwX3hJK6DWzDc9GWc215Gyp6BafQ4Ztwwn9Pbj5A2PovGqnqObzmApJOwt9qZvmae3wjDAyHUUcJFYxJYBDx9oLiHqAnmEuZSZW7J8r2Mnj54hHEzp4fUju6MysihrLaEd3e/zroln/Fd2aVhjS12am3NjBrR/9Emf2RWC8jGCCItEUg6PZKkQ9IZPO/1BnQ6A5LkyVwvCuKAhZdlzRoa338fRU1FUfoXm8gv3t/h1YEpN5em7duHjagByDAbsblb+ahL1OGOSetlcdFkmntOPwMsv9ET1fzChQtXoJXwt1e2IsaN6LtgP9CydH+KkVUIc5QaL0kRiSRFdD67K4pCfkM+H13aTMeV3mJKYEbyTCRRQlEUntuzn1tmTgPgwbWzg9rPK7tOUNvUhqKoNNvdxEV7nlBGz5jB/meeYe599zFqzX/36xjq3vg+MQt/SP25fwQso9MZSErMwOVq84oagH2nL3LHipW4cBEX6Ylhcux8ETHRUSydPg5ZUXC7ZeIsndskJyezZcsW1q5dG7SwaXPJmPUSiBKywTcY1rn9W1BUhRlr70d2u7l4Yg9Fhz9gyur7MOZ6ghYaV9+NY9OzqIqMPnsik1d6BFbsyAQ6JlRcbU6OvL+XMTPHhXW6sq6fdU1LsfDykVIAFNUjmA0tFX3mfvJHa4ON2PiBT03W1FWxbM71vLbtBRZNXkZKUvuNToBLFXUcOJNPfmExkRERpI9IRlE8Yl0niVijIlg6vf/eS9YJk9G7IjGP7U8PhI4+NRV3XR0Zt63h+OObsDf3zAzeH+SWFsQgs24PFwS9HsXpDJj9eyiMeSdH9z8tRqiC126zcf6ZZzAmJREdgiF0XHQEsnlwDIu14HufYtyqiihcmS9fFEXGxo1lbFynwdzl5nK2Fb2PgEB9fSo3TZ9KiiW0i9qiCZm88vFpRqXG88nZEu/yjHnzsJWXD6jNZjEVxdmIzuR5sm5urqG09IT3eARRQkCgpqaUUaM6oyxsO3sBHa3sPHquR94nURA4cKaA6+f2nHePiIggNzc3pJGaDlM+oykSe0MFh959gvFL7yDvk3dIzpnByNGe7NGSTsfInKk0lp9Hr++8ACuN9dDWiD7bf5ZpAL3ZwMybFlB6spCW4rqg29YXsf18mpqeEcP0jBifZdsK+/e0LDbagion2xqpe2kThqyRFLW6SBubhcGkB0FABeZNXsz7ezYycdRUKmove0VNYVUTNUWHeODWFUjLZnkHI0RRRFEUnG6Zt3Yd6bE/t9OF4paR3TKKS8bZFlg4RMyYQeOHH2KeeGVEDYAg6TBbTUz/xo046gcWzbkD0WhCNJr6LtiNDtfqru8FQfD+Q+fNWlEUnDYbptjw5LSLmDOH1gMHiVrkfyJl+MaZ8Y/dbqeqqgpJkrznaMd7SZJ83guCQGtlJQnz5jFiTniDOw4ILU3Cpxe3GkRHyg2Dtv8RUam0VpixNV4iKSGVtJjg7SSaW+24FZVnPzrBl1Z5pg8GY+Racbfhai3HXnOcM3n7GT/lFs9yxY2iKKiqgskUjb49C/Oh4jJUAWKz0vlM+6hTB5cq6th36gLVdQ0B92ezBXeT7SDCINHicCPpdLhabZhiR3J25ytMXvk5jKbOJzZbXTX5+95m5tov+YSiL6o9Sp65kujD21k0c7m/XQCem3DG1DFE7DsQUvuuHKFfxJwOJ2JccFm54+/fQOXfX+Zis4OJn1lJdWklbpcbQQVBhaa6RnLFcZyrzOPOJZ1TlZaEFL421789lyiKmAwiIxLjeHHzHhQFsjNSSNIZKDpwkvTsTERJQtKJmBsDC11dUhJyiOfNQIm7+y5qn3iCpO98B2NsmEZXVAX6kXT07NP/Qh8ZCUK7eOkI5+A9JXxT2DptNiY9+MDA2wuIRiOqM3AU9Uc+8xCP3PUt7HmehwHVpaAfEYW7tg1TztAkC+6N7Oxs7HY7siwjyzKCIOByuZBlGUVRvMvd58+jXL6MajCQtc6TGqGpvhFJJ6E36JH0Ou/D2ZkLxWzae4b/uNfjRdvY1IJbUQbNRUVz6f4U4w7CpiY2eizbCjd5Axq55DbWZA/cRa++/hIFhVvISF9KdnZoieYOnivm/SMFTMlM4MurppMQ4z9EvaTX42prQ282B123Irsp+vCnxLY4MEkj0EdnYoqbirulFHN9DdHRPXOUuPRx/N/WHaQnJhJviWLluBxe3N/z6TszJY7MlMBh1FVVpa2tLei2Qsf8sYc5t37LbxlbbSUXD25ixpr7vYKmtbmKT449RWbKdNau/R8qqsp4f/dGos0WcjLGodcZaLW30GZvpc3eQqujFYfLTlTLWSI3/h58DMx93cxVlwPj0ruRknoPoa8223jp4OFey3RYbPR1q6tziYiF/yQlJqmnvGkfHnE4G3m5rtNLqbH0DEsaT3D5/fxuZUWi591OdBfBU/zU89jSMpl5yzJEUSQzwDl35pPQn8oXT82BqTnIssI7bx/DbdSz+DMr0Zs7R9Tq8vJ7qeHKI8XEELlwIVV/+hNSTAyxd9+NOMBAaqqidDuvgkMXGUnOnT0jMgfixJ/+xOUDBzDHx2NOSMAQHT2gGEjGsWOx5+Vhyu05hSgYJIw5Md4braPIhrOkEV28GUeBDeNo/0lGhyoGjclkwmTqe7TMpdfThmcq0tg+Zbj7sadInDEZxelGdnvs+z6oimC1rZn0RAufHDnL+eIqYqLMjMtK4VxVmA3N2xEQuppGXjVooiYMeOLU9P5j7h5Ib1uhfy+QDuqa69h/9n1MhmicrjYMerPvhUpVOFlmQ2pp4Ru3fy3kNv/9/QOkxUfz47uX9Vk2bcYMjr3+OtNvuw1dEMKmsfAgl8/8mej4EVhX/gyxPV9UVIbnSVvJ8/803OJ0MmdsNgtGdd4w9ToJlyyjDzGSaH8y/Mpy4FGK+upyCg9vZvrqexFEEVVROHT8aeyuFpbP/57XJT0laSQ3JN1KW1sLF4vP43Q7iTBGEGGKJNYaT4Q5ErMxgrNKHuZ5/sVTB64LR5Avne5T1IyvKWfMjcHHQOqLA2/vY/zyeQHXd5+cOaMeJffmnl4+ZZWFfPTqv4k1jmDGraupOnEU3YRRTF22rM825KTkcLb0LOPTgojL0g1JEhlhiWXOCj+2CX09fQ7B02nknDlEzpmDs7SU2n88hep0kPSt3s+NXlFVhH54LoQ61TD2vvtorayktbKK+rPncNTWMP6++0LebweGtJE0bf/Ir6gRo/QoTS4ki0egGrM6RYyrqhVHQQPG0TE9thtu01bdRZZ+5Ej0I0d6AxMqikLs+LHMXu/7gHp4+wUWzcrhkyNniYww8YVbOl3/BWMpL350zPO+y/nbm3NI1/UeuzTPsqykGCaPSiE6whT+GAdXCE3UhAG5H95PvRVvsbew98y7rJ31uV6ffE7XXiAuon85XiwRRm6c2/OG4XS5kbrt0zJiBNNvu419zz3Hgi9/uUeb6s/toOnyMXTtbudNtbtIzJpGRNICVFcL6HyfWEw6qM47gGQwoTdFojdHc76xjYOXLrNmSqdNitMt43C7QhY0ELor4oHCOtLi/Au2osoKKo9uYe6aLwBQfvkwpwo2M3PCHcTF+Y9HYTZHMil3YN5AgjkaufzKX5DDZRyoM5hIXzmLSWkzOLTxQ5qOH+W6Hwd2ce7KqPhRPLPvGfKq8gAorS/tc5vSszVcvuyxS3G0+J/KaHW0Uf/M0/6PUVVxlVyi5vlnu020tK/u9jkqNZX0Fav6PpggMaSlkfjVr1D33HNU/+Uv0G7Xok9KIjaA+78/VFmGEEd7GosuYQjRPsZktWKyWr2Rxs+/PPDAhlJ0FHJjI5LFdwpdshhw19q9oqYr+qQIXALYLzZgGhPjs264pUfoS2S1NjajNwce4Vkwo+c1e3p2GtOz0wbcNrdb5mJ5LVuP5tPmdFNRloEhu2HA9V5pNFETBmRVQepzYL8ntU11HL3wEQZDBLNylhJhjKC5rZmdJ17j+l4Eja3VicOtIHcx7GtqtfPijhNEtw+11zXbiYvy/Djuvm5a0G0qKK8lKzmmx3Kd2Yw1Kclvm1oqz5Cx/Nu4mmqQnW0k6JfTUrYVxdVI9cnfkzLnFz7lR8+7iZaaUtwOOy21l3E52mgtPsltK+8nJrrzYvbOiVPcMm1K0G0vLy+nudkzFJuY2DPaS6Ch6KKaFsx6iXEpPW2R8upbeL2khfEJyZy/uJPzJVtJix/HqkU/CLpd/lCDGNdVTCo19dtgZ1WPdaJkYMQijz1Df0VIWd4ZLp08htDFPVl2uWlp7Dt/k7eNihJwdCM6wkptYRn6MfOY/9kbeW1kBooYnEBNtibzzWXfBEAQBZp3nepzm8vlTf5HZ7rQmpjA2BvCE5n1zHP/Cks93Yn7vG+6iLZz56j5+xMkfOXB4CpQQnfpbsi/QPwAg92Fw6jUPHMmzbt2Ed1tNE+KMuAsCWxIrU+MQBAF7BfqB9XGZqDTWV1Flru+nuYdO9HFx6FP84iS0jMFpI4fE67mhoROJ5GbnkRuusc04O3653AR/LVguKCJmjCgqGrICS0vN0joWw9y3dRbsLvsHDq/A5fbjk5nYPXMu9FJPb+at4+XUVzbSl5lE7Oz4hibHM24+Hj+veM4sqywft44UuIs/GHjJ6TERlLT2Mqi3DSO7cmjpcmOIitIeom5ywN76Jwvq2HplNH+j1PumXwNwI3nYqOPTqAjsLjB8mUA7PWne5TXR1iIyfCdxKiX3ESZfQ0lnXY7Uca+f1RVVVXYbDYaGhqYPTuwC3ugp6RNpypYNSGZsoY2UiwmpPZht9O1zbxXXMsPZo1BVUbx830vsHLSl5iWkNVnm8KCTiRmwgqicm7vsap05+MDrr741AnmbfisV6gqisKO595h2b1rg66jsuQMCcn+Q9fnlZ7EbPIVinK3DMR158/jard/Spw82Uc0m42dI2eSFHrIer9chS6q5nHjaN6+HXd9PbpgRlNU1ceIPRjaqqpIXxFcio9AhMOwVBBF7whVj/pEAVVWEST/+9HFm0EUsJ+vxzR2cIRNuKazWvbtQzAYsN6y3uc460vKyJkzuUf5JnvP2FmDTffkDlcLmqgJA3IQNjXdqZNz+dxEj+1IpBTJksk39LlNcW0rDy3P6bF8VKqv50ljm5Mok578wjbmRjcyblomlliPQWaTrYU9H5ygqM6O0+nGYPA9BZrtbqyRPadhZKfTazfSHR2Bva0kQwy1Jx6jqfEkseYJCIKEKjvQxY0HnRFRMiJIemi6hE7ne+Mal5HOweJSZmcEHlqtq6ujrq6OsWPH0tpHdttAQ9G3zRiJU1awtbq4VNPCguwETlQ38WFZHf/fdM93JIgi/73g8zxXeIQaRyvrRvbt9vv66U9wyf4vRsbaSoJ6Lg5wE3Y0lXqFTaPrGPBF77qze47RWFPvdYNXVIVZNy1B1z4l4bTbcTsd2JsbfUTEqR2HmbZ6IYYghGQHpZf3Ep+1lOby8x43YFQUVeFC6QFGpUxj+pjO6RmdJCJ3CzJXtnkzSUuWULV7N/G5uYhBGFcOFwRBQHa7kHRhEly9EP/FL1Lzt7+R9O1v91nW5XZTvWsX0tmzHndsUcTj0uQ5jwVBAO9yQBRxt7YOWJQ4qqupPH4cEDwDRR37EUQEsX1/3VzEUVXPdJmioLjdKG43blnGtX07cd1EljHTgqOwAVN2YMGii/WcP4MlbMI1naW6XETO62m3piqK3+Cc0aYrf6sWELkaZY0masKAghqyTU1/hmqbHMGp9fXz44k2WSm/LNEWHUNdq4Kl/fcdbY1kyU3TmWSz8+aOS8iKgigIzJ2URNbIwOKkobgYc3QUst2OaDQGfQGMGfcFABoL/4x11EMAqIobZ/05VNkBsh1VdlEWoaf7RNP0tBG8duR4QFFTUlKCy+Vi3LhxAERF+fek6YskS/uNNBY+OldFTbODZ4uq+Z8ZWT3Kfn7UDDZdPsdvzu7m+pTRTI3tjOvy+IH3ccsuJFFCEETsLgd3TVnmd59FFcV9tktV3Aii/5/omJs6p/Quu57lwFs7OnymiE1NZO7667zrW5ta2b9xO3WleSRkJCLpdEh6PWnjfWWVvcWByY+g7Y2zdTOYnebw3KgAUfBE210yZQPRZt/zyaiXsDvddMQ0qzx+HFNqKslTp9J0scCnrKIotFRUED1icKKlhoOESVOoPnSIlHnzB31fosmEYdRomnbtInrJkl7L1lqiSZk9C6PF4vGEUlVURfGITu9nFVVVQFFQFYXEqVMH3Ma066/H1drqEeKK6h1xUbvt37tv2kdmRAlBJyHqdAgGA8b0dCoaG+keylFpcQV1j9XFmkAUaDlYgRRjxDjKiqAbPmkj7GfO4K6p9btOCHO6nYHQbmI8xK0IHU3UhAE5iCzd3elPRNnoAEkanS4nT2x/m8z2iK6xUdEcu1TI7asnY9Fb2XqwrIdgibOauGO1Z+72yJkqjpyt6VXUWEeOpK7oEue2bkVxy3Q92V2ii7oT/8Yty1Q4DEwYPYuMhCyfUQBVdXUeu6jDGO97Q3W4/T/tdn+y76C1tRW3283o0f6nyvqLisq+glr+d9Yo3q+2MS7SRE6k7+jB2hHjWDtiHG8Un+S9y/l8c+xcpPbnmm/OXx/UfqoMQYxIqG4Q+v6JRsXFMWHlsoDrI6IjWHj7ag68ZWDO+sDlpq6YzYlt+5m9rvebZleMOivj04NL3peiUzn7r2epS4lDdbmIGDGCnM940iEkzpzBxTffBDwXdlVV0EVGcuGf/2TGD38YdHuuJPFTpnLuhWeviKgBiFqxnPrnX+hT1LjtdiwjRw7YNTxUYrP7n8SxOy3FxbS2thIR0RkjShdvxlUdXKgGndWIbnYKqkvGUWBDdSvoUyLRxYU2EhhOl/CmbdsQDAaU5mZibr3Fb5kOsTcs0LyfPr3IqoIhRIXd1Obqu1AASmpKGRk3wisaVFSykxJZM73TzS8u8hySJDMyJYrI9qHLHz5xiJQYE0kxnqdxUQAEqLE5+NL6cb3uU2c2k7PS/5z78YIKThZVUNHQwv0rp1Jef4EdJ94GwKCPYFbOEiSdhYsFvycl+RYiI4MXIskxVg5cKiU3JpqKigqkdk8ol8vFiEF4ihcFgUXZCUiCwLqkGE42tXLE1sIMa89Q5BsyJmOXXfz6zMfE2Vu5dWxgN+ju6B0NfZZRVTngSE1XBKD0XBGl5wp8EquqqN64SADm6N5HsowRRtyuwAHQulNW0UxyAI8xf2SlJnFp/BRyr1/UY501MxNrZs8M3SVWK+dffgVzeSMsG/hoQjgZSEyWfu0vIgJXWRmK292rYFEV9YoLmnCTlpbGhQsXyPXj3h0Kgl7yTkM5S5twtrgwpAcf5DCcLuG1LU5c0UkYYlMo3X0IVVXJmjoeU6Q57PngwsOnMPfTr3/9ax599FEefvhhHnvsMQCeeOIJXnzxRY4cOUJTUxP19fXExMT0Ws/jjz/O448/TlFREQATJ07kRz/6EWvXdhosLlu2jJ07d/ps95WvfIW//e1vAzmEsCCrKlKQXh0dRJn73/XvHtnPpLQ0Fk8IHIDOLcsYdJ6ka01tLn7xwnHm5SZw09Isn3KyW0FWFPTe4dnQT+L958v47JKJWCI8T0FxlulMzPS4Mze22nhr9yPMGpWJToqitPRZcnN/0qOOvMtu/lRzyftZRaXR7sZi0lHTWElytjLgC1wwLMv1DQo4KcrMQVsLm2tsrIq39DAIN0l6fjRxKd/e8zHpMcFF1QVwGYOY71fcqEGcV87WJo7u3snab9zjtZvpL6EYmB44XcWahRlBl7cmxdJWH1rE3vT2UYnal94LabtAtLU09l1omCKKIqbcXNw1NRj6EYfpaiKQYBTNOuQWF1Jk6HZMhrRo7BcbcJY2YUgLTtiE0yX8dHIOkyLBZXcgSjpURebsjv24HQ7UdgP6rFnDR7gLeGLYXG30+wp48OBB/v73vzNliq8lRGtrK2vWrGHNmjU8+uijQdWVlpbGr3/9a3JyclBVlWeeeYb169dz9OhRJk7s9NR54IEH+NnPfub93HVocihxqjoGL6VlT9LiYimoqiIzsYSMRE9gtu6K2q3IGNpvcPffPI5fvn+mh6ABkHSi1x3d6XKj60d49VvnjeWfW47w7VsW9FhnibASYV3PmNHLcTiqkST/w78TDDLrZvk+qSuKgiiKvHVMjykEwRBOBEFgTkwUzW6ZPfXNLI7reTEURZFkY+8B8nrS98VCke04K/Z1aYuI48yLSEldL3wq8UWHmPrwCyHu3z+1pZc5u+cYY2ZN6NNguM0pYw7BgFEUxSFPkGeKDD6FSDAIonTFjIUB3PV1QQiaq+9G5I+kpCQqKytJTk72LjOkR2M/V4d5Qv+uB6YxMdjP14eriSERFWslc2zPUBPBMBQ/G1H8FOV+am5u5p577uHJJ5/k5z//uc+6b7db5+/YsSPo+ta157zo4Be/+AWPP/44+/bt8xE1ERER/YoUO9i4ZAcNrho2XtiIIAiIgoiA51VsjwEi0vleQKDQJrCrtNhbrmM7kS7vu9QjIFDZ0siZWhfHi8+wYuYsPjj1MYoCZqOe8emZFDcWe7etbqlBbxSpbDEgCiI6yUWdvS5g/aIgcr6smvREi393yl5IjInmxtk5/N/be/nmzYHtC4zG3n7QPX88HU9rN08dwenLjZy+7HnKz4yPZExi/4yC+0uUTqIxgEs7QKQx/KLWnDwXsUMEtl/VrMv/iGjwvTG3VQ/cvbuDVV++ncYaG8e2fILb4SJldAajZ/QcITt0upqs1Cv7HYSFMN8dEiZOpPrwIVLmDr5dTUX+CUqbSzhXuqsz8WT770YSJAyS57de13wZueoYkiAhiRJSu/G2z6voefW3rONzx/uhygEUGxvL+fPnfUSNIAoIRqnfozUASpsbxSkjGobjlM/wwTN1ffXRL1HzjW98gxtvvJGVK1f2EDUDRZZlXn31VVpaWpg/3/dC8cILL/D888+TkpLCunXr+O///u+AozUOhwOHozMjb2Pj4A07p5lMfFjp5PiRV4PeRm5NYPO5UvxbY3WPZ+qJZSq3pfFacQnjI1s4vu+vPlu8W+Zbg86ZyCnbCNyCpw/cLWN4Ov9itzo78CyLaskgJuI86o7OfhMFEQQ8YgjBR7R1CLQOO45m21hefPIfnvJdBNzMSBWrJc/nWDpQVDhwcSQJpsA/H0EQmDTSCnhCo799/DJGIMkJSrPHBkTQSz6HpqoqdKQ96LiRdb84d6R6bn9va3XjMEjUV5QQHef2evR0EOtw8fwpO9Fd5r87qqgtt/FWyQW/bfeUU32WOcsLUC1vBzxmz2H46ZOysh6LpLoC9u3eHeiwfA67oxkd9jaeBnmSE6ZJqncYXBVBMMOZg7s48ME7JIyZSmRsMmr7sWy8UMPMSQlc2tEzMGCHKO56zKqqYq+9TEZlMZ88+TdizcGPsqqoNFbaePu97T3q7yrAlZo2zr/X6VXWvc8BaitL2ffGy4H31U3Qdw0vX1tWQvzI9G7rVPLOfcj48uMIqscGof7UEeImz+xxDF3tm6DTWaBjWdfPHe/tbpXddQnMjI/n/TNbaGnYjePJ3qfiLHIK55ve6LVMKPh74OoqeARBQELqvDaIXR7URLHzgU4UEESh3TvQs04SJQw6AyaDJ1eS2WgmQh+BXtSjF/XYK+wcUY4giRI6QYdO1CEhEfuJgdaxAjqxfVm7eNOLeiRB8i7zbtP+XhIlpGSwHy0jYmaSZ50gDfvkjf3IehEGVIaT3XKwhCxqXnrpJY4cOcLBgwfD2pCTJ08yf/587HY7UVFRbNy4kQkTOmOB3H333WRmZjJixAhOnDjBI488Ql5eHm+84f/H+6tf/Yqf/vSnYW1jIP6y7Gc+MTq6vldUxfe9qqLQ5X2X9V23V1QFhS7ve1kfbP1d1/u8+tS/tNf9+63Tp/4sn/3vr9jP8abLPDb2iYD9V+c8TH51DQW1VYyO75nosjs3TU7lrQ/Oc/OSUehHeAx4VZfvr08QBZCEkC5Wl94tIPem0TTVXiIudRQxKb5D3FlAzwk2D8H5PHXy1m49U2csDnGrAMxYT89wXf6xu9z84/gZYox6n5uoGJvIgkm9G4t3sHPnTn5072wsluCnchRF4eOPm1hy+9f5ePMmxl8ffIA/6Jlvqr/4DxMYHPveeJl5G3qmKyjb2cbcpZ1xgrh1ADvxw4EdH7Ji0WI+jPmIPWczQJVAkBFEB79e/UUWjlyAW3HjUlwoqoKstmeCVmXP+45lqoKsdH72t6zrq1tx+10eaJ2seOr0ZqLu0g5VVb3L3Yrbcx1pz1bd4myhrrkOl8uF2+XGITu8bVJllbLLZbgV33AWJsXI9LxxOARfw/YO4RjotQOzYmTPuWPezx3iRyfq0Iv63l8lPTqh22sv5XWiDp2go7DCTJFL9gopH9HV5XOHQPMKNkGivKWF0zVO7zpJlNALep/PPUbjurz2Z8RNFLpmaL96CEnUlJSU8PDDD/Phhx8GlYE0FHJzczl27Bg2m43XXnuN++67j507d3qFzYMPdoYInzx5MqmpqaxYsYKLFy8yZkzPsNKPPvoo3/3ud72fGxsbSU8P1e4heLqPWmh4+P2h31PRUtFrmQ2TZ6IoCi8c3c+bp45z9/TZpFhiApYXRYEokx4pqtPmQxjgUHLRjhJGzvQIKktiHLbq+h6iJpwMlWlJq8tFZnQk63L7F4q9paUFQRBCEjQwPOxprlY2TJrBm2cP8fWZ91Hd8hc+M+E6cuPG8rmNP2DLxX2sz755qJt4RegQU27FjazKPq/+3suKjFt1e5d1L3OjcofPZ++/6sYlu3ApLu/7DtHY/dWluGh1t3q39Vemox32NisfFEZ7xB+e9vnSPYZvpwiR7am8UVzebX1v2/Zc3mnqIPYwP4g2RJIeG4lRJ6GTBHSiyPm6EsbGDzyn1JUmJFFz+PBhqqqqmDGjM+O0LMvs2rWLP//5zzgcDq/LbagYDAay2+MczJw5k4MHD/LHP/6Rv//9737Lz53r8fzJz8/3K2qMRiNGo7FfbdEIHy7FhRhEXixRFPn8zPm4ZZmnD31Co93OXdNnMaIjauAg0lzejKJCVLuNiDUxhuJT+YO+X39cqGziw4s1xJv0NLlk7G6FBHOn7UD3Z607Z4R20dlcUIzV2H+j1gMHDrBoUU+X7GC5cOIYicnDzy5uQAgCsuxGChBxe6CYDXrcssKYmDGsy13Eb3a9g14UaGo1snrMlYmRMxwQBRGDZMAgXX35iALRMVLWIb463neMenWILO8oWC9lfUbUFN+Rtb7eV7bUUFBTj8Ot0OIAt+oiNSqFNdmBPWyHKyH9ClesWMHJkyd9lt1///2MGzeORx55pN+Cxh+KovjYxHTn2LFjAKSmpoZtnxrhR1blkEavdJLEA3MX45ZlnnxlExlxuYxKszJhYt/TUv1BURSKPiln0m2d6SciYqJoa+pf9vNgCTQSLIkC01MszB/d9yjRa0fLePlIKZdbHNBWTmJqvN+gjl2H3WONRm7I6X/AQqfTiV7ff1GkAFFWa7+3H45MzJjG8fz9zMhdOCj1n60uY3Scx1j23bx91LsvcNuE5azMWsqStOADJWoMP0RBRJRE9FwZ77lPAyGJmujoaCZ1y+QaGRlJfHy8d3lFRQUVFRXk53uedE+ePEl0dDQZGRnExXki3q5YsYJbb72Vhx7yhM1/9NFHWbt2LRkZGTQ1NfHiiy+yY8cONm/eDMDFixd58cUXueGGG4iPj+fEiRN85zvfYcmSJT1cyjWGFy7FFXIMH/CIm5wMGD/GSFuTxHubLxBh0rFofgZ6gxS2+ZuCrSWMWjzSZ5lOp/OEkx8CYiP0nK1qDqrsZ6Z3tnvPNhsLJ48frGZ5iX7rbZRVq/odeE4UQg/o1WRr4Nzmf5NkNRM/YR5R6cHZ/lwpcjOm8sbufw2aqNlXVMQPVnhskBZn5XK0rIT/mP0trMZrSxxqaISDsI+X/u1vf/Mx0F3SHjzr6aef5gtf+ALgESk1NTXeMlVVVdx7772Ul5djtVqZMmUKmzdvZtUqTzI8g8HA1q1beeyxx2hpaSE9PZ3bbruNHw7T8OkanSiK0m87o4Loy7jy3SyfvYbsnHiaGh1s3VmEoig0tfY/InMH9QUNGKP1RCb19MQZ7PgMgTSZ1awPOsfXUGDU61GczqAST5755z+RIiJwNzUh6vXoXG4SN9zC7s2bKDp/nvTRY8jMCWy6W1dVxYlPdmE0RzAywczIhXdSe2In1Sd2I4gCqgIdp5aPl0ZVM0L8bNDrvRYF4XAeiW70LyJEUUQZJDeR5w7vY32XB8lbc27hL3u38ciOH7MkYw5NziZEQcRqtHLDqBuIMlyFbvYaGmFkwKKmezyaYCIwdkQO7uCpp57qtXx6enqPaMIaVwdOt0JNZQ5/3rMdQfAYoLnbR0Hq2hqIjS1H32Xasqsr8OWWy3xh7n18dGAz1y+8mWiLkbWrxqAoChcu1A2oXYpb4fKxGiZu8J+vpqS2Bvfp0yiKx0tDURSUDk+z9uR8XaNtqoqDLKEcT3rTzsSBiqLQ04BPpbUGoKf305UOvR8qxpxsLm58E8loIH3VKgRJQjIYkHQ66i9epGrffoT2oI+u+gYmfPGLfPz2TqTWZlqby4iJT2Dd3Z/ncnERDdU1fvdRXnyJvCMHiYqJZcnNGxBFkcu7nkUymkmavabPNjo+2Y1h2nSEMAfnLNp0IOC6zKRsjuTtCetoTVljHa1OBxOTOx0c4s3x/M/Ke/j+5mf5+OJbROhNgECzw8FLqdt4cf0fMemunkznGhrh5upOEKIx7JEVkeQYlYcWLkdRFJyyG4OkQxRFnj68lQ0Trsdq6v3mExsdT0VVGSlJnukWURTJzU0YULvyP7xE9qrAIf7tGRNJT0psD1woIrbH1RAQkEQBBAGp/TPAppIDjEpbjShInngcgoQoedJcin4MSAuL9gyo/UOFPiGB3M9+luJt2yjbuQtFdtN48hQoMvELFuBqamTSV7/qs43U2sz8z97I6x8d8i5zttkxRfp+75fyzlF49hSxScksu+Uz/W6jqiiecKhXkLkTlvHc1j8zYdQMTIbA+bBCMSh+5dgRvrVweY/lN425kaVfXoJJMqGXPLYYJ6tPcsdLv2BT4SZuzQmzT7mGxlWEJmo0BhW3onhEAO25a8ROzwWX4sKs69uTYc6Uhby/eyM3JIXnYt2SV0dbSTP6yMCnvzUqmozE4EOaGwwS5oiYoMtfrc7NQvt8T8aKzuSmzfPmoSoKpR98gLOqCrfDga4Pz0OdTk9LSxMAF04ep+ziBVIysgYkZjpQWtUrLmoAblt0P6/ueorPr3yox7r8ozuozj+JvaGOiIRkohI9Dg5ZUxcTGR3Xo7zd5UQSRaQAaUuiDb7pOjKtmYiix5tFQ+PTjCZqNAYVt6wgBbjBdM1P1RfjMiay9+hO5nfJRN4fFEXBlV/P2NtzKNyYT9a6MUh+YtwMZkgVV1sT7hKHJ5rfNUBUexj7nLvvBuhT0ACMGDWK157+B+UF+aTnjAuLmOlAkNpo2nXZR9jIzU5ib/Y/1RguIkyRTMmczXt/+T5xSSMROqZVFZWU8TOYf/s3AWhtbsDebENR3Bx85c8s+Nx/YjD6jlp9cP4k1+cGH3LQ5rChIDMiKvyZ6zU0riY0UaMxqLgVBV2AGN9CCAbEozPHIkkS7+/eyOr56/qdjbppewlRC0eiizGReeNoLr1XyOhbB36zC0UD1Rz8hHRjYE+l/giq4RDkPRgxA55YN01NTcxdeT2ZmZl9bxAikmjHfF2WzzJnaRP1b+cj6ER08Wai5vYjFEQQX8zUnLmYtx8ha83nMET7zwQdERVDRFQMAHPv+jbHNj2H0h6ITRQlVFUlwmFna0M8SRtuJDap50hOd1IiUxAEgcvNl4M/Hg2NaxBN1GgMKm5FpR+Jv/2SmTaGpPgU3v34NRZOWkZiQmhB3NpO1aBLNKOL8RhS6kw6EmclU7qzlLSlvkHsBisVjK3oLJEZGTQdaOFlfanfMhkxgW0yAiKAIiuI4ersdnaf3k1tUy2KqiAJEkl2/8a9vdIt+SJ44t0MhqAJhCEtGkOaR2Q0brvUv0qCPClG33sfl15/jTGfu7fPsuYIC3Nu+YrfdSsVhZf/9R633b0ag6mP6TzBE4q/zd0WVBs1NK5VNFGjMah4bGrCd6M1myO5Zdln2X1oGyWVl5gxMbiIl+7aNpwVLVhX+t5Io9OjabrUSENBAzGjY8LWzkC0XS4jZcFKxl64REaI0YB7I9oSha2uidjE8MQuOV1ymlNFp5ibO5fFEzu9tA5U+I/wHQiltRX3sSPkjUrzGlXPmTNncL0Z+xAfhgwLDe8XIJp0iGYdUfPDO2WjM0dALxndg0UUReJiopCCDHaoqIrf4IsaGp8mNFGjMai4ZRV9mEcPwHMBHztqYnBlnW6aPi7Dus5/JN0Ri0ZS8NZFolKj0Jn795MI5lZiKzxDZIZHVLlr28jf4n/E4HJhIxHpvccb6T4RUl3XyJ6ij0lNiw8qxo6/m1+NrYYvXf8limuK2XF0B9+4+Rt91hMId10ddS+8gCAIzH/kIQ5s3oOQ2ikeQk2uF1reqN7LmnJiMeV40m/Ytl2icXtxx04AMGRZMY2J6bHdUMgFp9Md0Fi4K/vK9yErkBuXewVapaExfNFEjcagoigqeoP/i7Laz4BliqJgd7YRFdF3oDF3bZtH0Fyf1WsMmMy1WRS+fZHMtVnoIw0h27W43L1HAVYUhbayMlIWeQJKJiRFYFkewKV8cxHZ12eFtH+7YwS7DjlYPa/3OClVleUU5+f3EBWKopA6OpU3972JNdLK1276Wkj797bj4kUa33kHKTKKhAceCCpIXzCEIoIUe/DBC60rek6BNW4v9itqQpJVYbA0L7lYgt3Rd5DJNncb/73974xLjmVW8qwB71dD42pGEzUag4pLVdAFEBOhGAp35fCpfcwY55l2OlvSwPnqZkw6kcVjE4kweYbq3bJCc3kzwslarOtG9xnUTjJIjLolm5Itl5BMEuhDuynpdL0LrJpje4idPL1zQZjdq0xGI253zykPp8PBvi1biYy3oNPrESWJ8VOnERnla8S66533WLJoCeT0qKJPFLcb28aNuMrL0SUlk/Ctb/Xo7+7f9WBm7BZNV/9l7fjek9RW1LL+zhV9ln3rwttcttl593M/CnkETEPjWuPq//VrDGtkWUUXYPi82Vnfrzrrm2pJF6bx1pESRsVFsn5GGm0ON3svVOOUPaM/kihwrq6Fb1w/JugovZJOJOuGUdhtDsa8X8ievcUYTDqmTEzC1uykqrqFzDQrRoPEuYu1tDQ5PVMSAkS06qmq2eWnVhVVVTHGxGG0BhkwMIw3prwzJ5m6ZAFWayyHP9mNQafrMT1VXV2BOda/p04gFLcb2+uv46qsRJB0WG5Yi3HUqAG1dffu3bhcLpYv7xlw7ooSQHCF8q0MRFzY7U7Ony/h9vtu6LOsrMj848h7zM9KY7S1/4lKNTSuFTRRozGoyIrqd6TG6XQhtgocOb0bu7MVAcHrzqrIMi63g2pZpTwhycf+w9HWRoJ7JBFVTaybNtIrWMxGHcsn+brpysfL+pV2wGQ1MvEuT9LE5jYnJ/eVElPYTEKmhXyHG5dbZfSoWBLGdfVSCp/Rb39HcdSqZk4cPoCqqt7/pqp6Jk/3TEnYm1pps7WgG+9rixRK1m113wmqSv4PQZQGJGTq6urYtWsXLpcLSZIQRRGz2YzNZuPAgQOMzR7P6QMFCKLAiKwEXK1Dnw/L0Tq4mdtbGhrZve0QdQ0tfObuVUFt81LeS5TWiHx3/hALQQ2NYYImajQGlYimJpwVZt5q3YYgCCiyAoInE/bs2DFYLdGkGNM9eZUUGUGUkEQJo8HEu2cK+Eb2nCHNhxRlNjBrSRYsAWd5C+bTNaCoiPZ6lBn6QZnqEEQB2a0g6UI77gmRY0kal4woekSCIAqIQmdgwYXXX+93u+qqCmRn77YbFysuciDvACNzp5J0/4Mhtcsft94aODr0uXPn2PHePtbdtRxJJ5F/qpjmhuCjOw+WSa+uuIST/3yS2DHZpC29rteywUyvNdQ0IAgCtpp6jh05j9lsYPlNizAY+46y3cGbZ/YyNT2aG0b3PaqjofFpQBM1GoOKUd9IwqRU1q/o2zagOzpdyYAETShTAG0NVaC4MccFdu81pEZiSI0EwN1gp3lfOarLM91lyLJgbveoCbJxAVfpI/Q4G50YLAZ27SulucXlcywRZh3LF/c0MhZ1eiIjQ5tGAsjIHENFfrHfdbIi89b+t7BGWLlr6V2crH8r5Po72KUKtJ4867OsYxSutN7OxCYXcSYJFZg+fwKSziPIsidlUFx+vs/6W4u24K47hSLbqD3efmkTBFBBFAxYM6dhsoYijnyJzchi9G2LqTlxnJP/fBKdyUTa4qVUHTmEKisgCp7vSRCQqypR3G5EP0EiK0sr2bPtEE63Qlp6IlHREaz77Kp+TVlV2dysm9wPQygNjWsUTdRoDCqKovhN6BgMV3J8pvrCNkRBR6JuGUZL3zc+XYwJy7LO7Mm2D4pCEzW9YDPArk0XMEYamDMrlcw0i8/6d7cUhGU/HVRXV5A2bkyP5ceLjnPm0hnWzlpLTGTMgPczKj6Rz01O97tuz8VaUi1GRif27dEWCLftAhG5d6OLTCGm+zpXG7Xn91BX2EbK5LX9PicBEqZMJWHKVJyNNko+2saIBUsQ20fVVEVFVVTsMtQ99U9Pcs1ufFzSwq0//05YRiCjzQYqm20DrkdD41pBEzUag4rqdqPTBW+zEU5Cce3VGaJImXwj5cfeZuSMW0LelyoruJud6KKCnzoIRPyIKKYYJaZMSfZZ7nIrVFa34AjhuILBaDRRdOoco0aPBTyjM2988gZpiWnctfSubqX7Z+/TXFaOISoapvgXNekxZnYU1nKgpMG7rLTZwX8u6Sm2AhE96QEaj/4R66zv9Vin05tJnrgSV1szl4+9SWT8KGKzZvqvKMgRE4PFypj1G/yuM/cyvRb5+kdhm1JdMCqd146foGJOBSmRoUXY1tC4FtFEjcagosoKoq5nwsgrgWAMbr/1hUcxRY/w2KFIErLTjmQILb6KaNaFRdAAREcbKSxu6LH80LFKigobMBgl3njnQo/4P20Fl2nYWo3e29/tN+eu8YAE0fPZx8VaRWiSePeZl1l6xw1s3LORm+ffHGB0pn/2Kqv+48s4d34ScH1GfAT3xvsmdXz5SGcaiWBspwXJAGLv37neHEXazM/QWJZH+fF3vf3giZmkIggSBod/4TVQU50X/r2NBKOIyRQ+kf/1aQ+wKe8hvvD2o7xwy2+JN8eHrW4NjasRTdRoDC6KiiQFfxG3XTiEs7mBxOkrB7FRHmovfIK9qZKohBysGZMASMpdTsmRl0jOvR5zbD+SHoaByCg9rW09R2OmTkxAEEFEYOaUpB6GxPtPC0RYI8lJS+6xbTA8v/153t73Nnctuwv9EI2uDQRVUcAVXO4jy8hcLCN7Rt+V3S4q6rcAk8PcOog3iFy/wdfAWJYVnjywB6fsQhIElHb1lhwdxQ3jJxNl6D0PWIwphmdu+Rn3vP5D7t74n7xw6/8jwRxk6AANjWsQTdRoDCqyIqPrw35BdbupO7uXhoKTGK1xmKxJFL73JDVOI8wOMEUQBC2uPMpPHPeOVKjtT+KoCioqOkMUI2f4ThPoTJFkzP489QUHqD71MbqKBKLiRnsmXWQV84R4b2JE34MIXzA5URT91hdh1jNvRmChlZ4cx/niin6LmqVTlpKeEGCUwsvgBc3rja4zQo6aUzjKdhI57nOozkZ00Z42N5/5JxG53afLQkPS6dH3w9i6PxwtLWZT3hnunz2bVIvvCEtRfQ3/PnIIh+zxSjPr9awdN5ERlp4Zu0dbR/Pibb/gntd/yIPv/pDXP/O4FoRP41OLJmo0BhdZQfQTOVhVFArfewJBlACB2OypjF73VYR2W4OE6cuZcHJgSQ+lBCOpWb7xOxRZRpR6n6IQJYn4nPnE58DlY+9gmdYZSr9572VctW1ETk3y3SjEm4hi7yPhYT9uSilxFvadyg95uw76FjQDIxzJFl22S7SdfxXz2NtoPvE3VFcLUdO/ic6ciGKvRx8zjAPQtX+nxfU1vHz8CKPjY/nBijV+i2bFJvDAvM5Eog1trbx/7iS1LS0AiKLA4lFjmJLq8YIbZR3Fo0s/y//3wb9odDZiNYYnsamGxtWGJmo0BpVMoYGkQ8coKHuC5OnXETnS435atOmfpC3egCEmqY8a+k+cIZKq1lqSIjqfgvsSNH0RNX8EjTtKOpMgAqhqyAM1oin8dkZXIp6Ps7SZ+jd292vbvS6FCydKfJapquodVciINHLrmADng70RAMFsAbcdY8IUjAlTUJzNNB76DYLR6rGpCQt9f5lOu4P6mgZi4qwYI4Kzv3K6HfxuxxbiI6P4jyUrQ/q+YswR3D29MyO90+1mW/4ZdhV4RKyAwJHKCxhEPZH6yKDr1dC41tBEjcagIprtNMyZw6iJX6Ty0CYqj36EzmRGVdyDKmgAJsRmcqKugOUR/TeeFEQJ2eVA0hu9y7q6cg83lNLD5H2UT+51nx2U+s2TJhG7bFq/tl23vZA5AbyfAP7YTfB0RdFH0LD9YXRx44ie+R3vctEQRcyCn/WrPf3h4I7DlFfUEWE2EBMTzcnD53A4XOgNOlbfssxbrqWpjubmelpdrbTWVtB4/gzx5ijWLLoPg5/YNaFi0OlYO26Kz7KvbnmFcXrQidplXePTi3b2awwqCiqSKCHodKTMWwdAU9EpItPG9rltZlwqHwWYgnIpCpIgsmDsLMwm/0+mCeZYGl32/jceiBs1j9qLe0kat2xA9VwpEtNGIYlXZ9wSf1F4y/IuUXzqAi0Ve7nuSz9BMoUnFlB/2FrSwNzJmcxe5rHzUhSFw7uOUna5hikzfY2OP3nyF6TPXoZJbyIxLpnxt68Y9JG0ekcdhrCNVmloXJ1ookZjUGkDJMF3qiU6a1JQ244ZOZYxIwOLH6fTwZ68fRgkPQsnLBhIMwNijI7D1T71cUUZgOGx7HZx/qOXESURp72VCavv61zntFNxZk/7J8E79aMzmkkaNy+IdvUMJhduGpqbeW3LFhDMtIxMZ+766zi1t/QKChr/tj8xkyeSkdMZyfnZJ95mxaqZXpHTFcvoHMYtXjdoLfTH/ZPu53u7vsd7F9/jxjE3XtF9a2gMFzRRozGoyKrs11A4HBgMRq6bvJTK2jLeOrSZ1ZMWBRy1uerop/eKqkLu8ru9n0++/w/yd73q/dza1EBCWjbWER2h9T3iqabgBMff+TuTrr8v5Bg94aLe6eYPx4tpOHaQH33uFiQf+6cr6c0TnKCcNSObC2eKSB/jZ0ptCJzE1oxawweFH/CjT35EalQqM5JnXPlGaGgMMZqo0RhcVLXHSE24SY4fyU0xyWw5sQODpCdCbyArMY3k2MB5nEIhwppOc1URUUlZYamvK4qisPNsJQ637wjI4fpmzh8pJiXKSFq0kVEWMwlmfchTGJNv+HJQ5SIT07EWn6G24FhwIzaDwE9nezyX3iq50E3QXBlkt4u60wdR+kju2cGkOZMovlDMmy9uxmQ0eI2eBQHsQu/xZQaLXy7+JQ9++CAPbHmAJ1c/qQkbjU8dmqjRGFQUFKQ+oryGA0nSsbY9YF9LWxPFVZfIqyjEZTuFmjEfVbYj6iP6qMU/1sypVJx4L+yixtbsYNOZclaPSyHO4js6smbqSJyyQqGtldImBx8U1lBvd+GWVYw6kS9MHkmUIbw/X2vaOC7sfGXIRE0HwWS4DheKImPLP4Gz3gYCxE6YgSHK0veG7WTkZPhMSXXw1092hLGVwROhj+DJ1U/ymbc/w28O/oaXbnppSNqhoTFUaKJGY1CRVXnQR2q6E2mOZnziCMZf2kRrxR7qTjkRRD2K4vTMzwgC0SNWYkwILmrsYBh4XrS1UnahmjtmZQSs3yCJ5MZFkRvnm+TRZnfxj+OlOGWFm8cmMa7LeqNBj721GVNE34kh5eYyWvI3guICyYggGWiprCJ//xlUWUFWVFRF9pjRtNvStF1upHHbJW8dKt0mhgQhsD2QzdFnmwBa66qDKheIU5fOUlhd3ksJFbkQlAbPJ1NiAvr2AH7srwY69x8RoccabcRiMeFyDb49UTgwSSYEBOJNWsoEjU8fmqjRGDRUVUVVVdxNFdTXXUSU9EiiHqPBgijpEUUdqqqgKG5URUZR3aiqgiw7cLvtSG4HUc42cDvB3QZuBzibPe9ddk9IfNkJitx5Z1UBxQ06I8z9GhH7IGLKt33bJbtpLn6HprIPEbra+3TckDvsWTreqypqeQPqhDUIhvCkD8iPLGLD1FX9EkxWk55vz85CURQ25lezuaDG29RGmw7r3j+SFhtJp2FH187xvKqyA8EcT9Sk+xFEM6q7DVW2k9Swn/gJoxAlAVGSEEQRQRLCIuxs24PLLq7qBzZ1U1hdzrpZy3svNKvvehRFobXVRX29naZGB5PGBZ9+YCjj+dY76rnUdIkHpjwwhK3Q0BgaNFGjMWgoqsJRo4EFLVVcrjyGrLhRFDcOVwuy4hEwgiAiCCKSqPNEnBUE9JIRSTTQUrCVeaPXgs7kESkmC0SngCEK9Ob2/wjQ9eLG6sdbR5B0RI+6lVCC4Ssjq3AePYRx7vzQO8IPc6Il3i3ex/qshf2uQxRFbhvrmxKhzh7DidpIJowMzZZCMEQCkehNUZiih8YepIMoy5VJU9AXoigSFWUkKsrYd+FhhNVgxWqwcrbuLOtZP9TN0dC4omiiRmPQUFSFVkkiJm0OE8fcHPL2p5vKYeItA2tEmDyvxPgklGPHw1IXgOwoJEqaztGaPKYn9Eys2F9iDBYagkzq6J+hye3UlWshb9FQ9qIoiCCAQdRi1mh8+tBEjcag4VY9maYHy6U7KMJ8f1QVxZufaiAYjSlkOj6iVFzF1pKDrEyfHfS2TtnF8doLSIKIXpCQRBG9oGO0NW3ARtlq29ALCqPRyNvvbfdZ5mxuY0qA8sORoezF3x/+PTaHjSVpS4awFRoaQ4MmajQGDaV96udKGwr74GgKW1W6zAzcBRfQZw98ZEWns2CxTGWyro1GXRbPX9jG7MQccmN8PWlO1eaT31Tpc5NscbvItSQTY4hEVhRcqpuztjLcqsz4uNEDuqEOkSeyD9ev7Dkl986h4LdvdgztaNOV9N7qToO9gX+d/heLRy5mVkoQhkMaGtcYmqjRGDRk1ZOJekhHaozhs8/Qjc7BvuOjsIgaQRBISrqegoI/MHr0AkZZRvDx5aPUttWyIHU6/8zbyrzEUWy6fI7vTFzTZz6flIh4Npcd43xjOdYBGtpe7UTZ23hly0XEAOquq/n0KdspkkZYeqwTu0hDBRURwfvaF4qqouhq+tf4ARJjimFOyhzO1J7hZPVJJicG5+GnoXGtoIkajUFDUTwjNTqhf6eZzjG8chiFY9qpR52CAaezDoMhjkUjpvNJxWk2Fn6Mgkqjq41vjV8dVILCOFMMd41ZFtQ+C05tprm+wu86ucJNQ+XgjDTUNQvA6EGpuytjYmHCjDFBlZU+Oc+tC64L6/4dbgfPn30+rHWGwvfnfJ+vbf0ad79/NysyVpAR7Rn9W521mkkJwaUo0dC4WtFEjcagMVCbGqfOzOl9f0Kl04NJwFOXU3VzylHN6MiRPtt0RHXtwN5wjhX92rt/wm3Dmpn5IBcu/IKkpBuIiZnNgpSJ4d1BN0rz9yC7nExZfF/fhcPMsU2fXJH9DLVVkIIypKOTObE5bL5tM0+efJLXzr/GieoTtLnbeP7s83xv9vf4TM5n0EvhCU2goTHcGJCo+fWvf82jjz7Kww8/zGOPPQbAE088wYsvvsiRI0doamqivr6emJiYXut5/PHHefzxxykqKgJg4sSJ/OhHP2Lt2rXeMna7nf/4j//gpZdewuFwcP311/PXv/6V5OTkALVqDDVem5p+Gq9OXvifAde1uds4fu5lFk76Qq91vLXpL1zashWdUU9kajKRiUnoY+P61R4g7HdMUdQzduyPqa7eSmHhnwABUTKSkrwOkyk8aR46qK04R31lAZMXfj6s9Wr4oigKIkM45YrnN/fVqV/lq1O/Cnh+L9/96Lv8av+v2F++n7vG3cXslNlDOzWsoTEI9FvUHDx4kL///e9MmeLrk9Da2sqaNWtYs2YNjz76aFB1paWl8etf/5qcnBxUVeWZZ55h/fr1HD16lIkTPU+u3/nOd3jvvfd49dVXsVqtPPTQQ2zYsIE9e/b0UbvGUNEhavp74VQUJWDQN52g89rs9FqHdTSZC1bibmmmubSUM//7BGOmtadLUD0Rc00zFqMfH6T30SDMzHjsa1aRlLQKALe7mYqKN2mzl5GUtAarZeqA91FVeoLSvL3MWPGVXsu9/t7fMRrNCILgHfXqOvrV1QjWX5mu6/V6AxnpY8nOmIS+t1hCQaDIobipD+1YjYIy7NzSzTozj696nAe3PMi24m1sK97GV6Z8hYemPzTUTdPQCCv9EjXNzc3cc889PPnkk/z85z/3Wfftb38bgB07dgRd37p163w+/+IXv+Dxxx9n3759TJw4EZvNxlNPPcWLL77I8uWeSKFPP/0048ePZ9++fcybN7S5ajT841Y800/98X46cWE/u3du5Btf/rXf9ZIgBSVqOtBFRhGTO46aOYvIayggNbmZETd+HVVRcOzdhP3534GqYpg4E9EchdLWitrWjOpoQ3U5weVEVWTcJQ0YFi1F1A/ezK1OF0Va2ucAKCl9jtqanShKK9aYuSQmhGb/oSgKp/e+gNEc3aegOXjiI3LHzmBSTvDu5b1hd7Ry4dJJPtz1CrLspqyxf7m3ABD6ni5RVZWW1gIc7ov9308vNLU2I4oSdoedVrsdh8OJwaAnJT4RnSTR0NREi70Vp+pA6qcd2WBzqfESIiIKCimRKUPdHA2NsNOvX943vvENbrzxRlauXNlD1AwUWZZ59dVXaWlpYf58T/TWw4cP43K5WLlypbfcuHHjyMjIYO/evZqoGab016X7yNmPsdVVkZk1IWCZ/obtz96wiBMfOxFdl6k9+gGxU1djWngjpoU3oioKrlN7UZptCKYIRGsGgjkKQW9A0BtBkrBtOYrqcMEgipqupKd1ThXV1Owg/+JvMZvSSE29o88+aKov4cze1xk/bwOWuJ5JF7tSUVPC5fJC1l//xbC0G8BkjGDy2LlMHjsXgMcHkORRdRVQWfk+en0sstyC01WHy1mLqsqoXYbPTKZUJDH4hJTBsvvIIRobWzAa9BgMeiLMZgx6HfWNjZzNL0BRVCIjTJhNJmxNTSQK6WFvQ7iIMkThkl3kN+QPdVM0NMJOyFfml156iSNHjnDw4MGwNuTkyZPMnz8fu91OVFQUGzduZMIEz02toqICg8HQwzYnOTmZigr/XhwOhwOHozOBXmNjY1jbq9E3/XHpPnRqJy3NDVy3cAPvbn2217J2t71/DRPAOPE6pKZyyt/7CygKppHZxM5Yi2FK72kLxIhIVLe7f/sdIAkJy0hIWEZzy0WKiv6Eikpc3GJiY3rGIzl/5E3sLY3MXvOtPsWPramOnR+/ye03f2Owmj5grJHJmM0ZuFwN6A3xREaOxWRKQfQTNddW/m5Y932+uAjZrXDjsqVBlbc1NXHs3LmwtiFc/O+S/+WJE0+wu2w3TWGM4aShMVwISdSUlJTw8MMP8+GHH2IymcLakNzcXI4dO4bNZuO1117jvvvuY+fOnV5hEyq/+tWv+OlPfxrWNmqERod9RbCi5sCJ7TjaWlk6z5OvpllRuNRcx6WWevbWlZFutnB31jSfbXqzuwlEpNXC5cKLpGXnYlmcSaQlntaSU5S88DMyP/+T3jeWxMBZqEOi/zYXUZFjiBr9bQCqqj6gsPDP3nVOexvlZ8qYMPdLJKX1HaPE7mzjvS3/4s5b+hY/Q4qow2IZGnfkUSPSOHMu+CkttywjBgqSM8RMS5rGX1f+lVWvrqLZ1TzUzdHQCDshXcUOHz5MVVUVM2bMQKfTodPp2LlzJ3/605/Q6XTIcvA2Dt0xGAxkZ2czc+ZMfvWrXzF16lT++Mc/ApCSkoLT6aShocFnm8rKSlJS/M8LP/roo9hsNu9/SUlJv9um0T9kVUZUoLWlkdqGKmrqyymrLOTtLf+kpj1OSlNzA2WXL7J99+s4nQ4Wz73Ju31NVDYHaktRUHlk/BLqnL4jM+vHrOcfp18IuV1jJs1izOTp1FWWceHoEWouFxGVOQV9XNLADngISEpaw6hRDzFq1EMkxG7AVmRgyS2/DUrQKIrCm+8/yYabvookDU8bkOGAXqcjJSWe88VFQZVXZAVRGp6ipoP7Jt7HRyUfYRtmsaA0NAZKSFeyFStWcPLkSZ9l999/P+PGjeORRx5BksIXDl9RFO/00cyZM9Hr9Wzbto3bbrsNgLy8PIqLi712N90xGo0YjVdXdt1rDUVVyCqPpOjiGeTqJk8Gbp2BVUs/y8cH36OurpK4uBQirTGMGTuVzORsn+0T9GZuz+z0rnOrCnWOFuyyi1bZxeuXL+ESM9hecYHlKTkhtc0UEc2oCTOQ3QcxRUQBIEVaaLywH0vO3IEf/BXGVnuJ84ffYdb13wx6xOWtzU9x3eLbMBkHYMD7KaGkpJLRacHZycjK8PN+6k5uXC4qKm9eeJN7J9477NuroREsIYma6OhoJk3yHQKOjIwkPj7eu7yiooKKigry8z1GaCdPniQ6OpqMjAzi4jzxQVasWMGtt97KQw953AkfffRR1q5dS0ZGBk1NTbz44ovs2LGDzZs3A2C1WvnSl77Ed7/7XeLi4rBYLHzzm99k/vz5mpHwMEZFxW6QmT59KRMTfIPKrVp0exDb+xJvMPF22VkMog6zpOPr2XOI1pt4o/gk/3N6B/81fknQN3SXo41LeadobWrC0j5Ck7zsc5R/8ASq7MI6blFQ9QwHai6f5tKZXcxeHZx7rsvt5M33n2T2zJUkx4/se4MwkeeS+OOhIgCELtNvKqrPZ/CkGkizmPhMbvtIrKoQLKFMDqp+Sjc2tbB1xz7M1k57nfraZqzRUUHXO9xFwvi48QD89vBvuXXsrVgM4Teu1tAYCsI+5vy3v/3Nx5ZlyRJPptinn36aL3zhCwBcvHiRmprO3ChVVVXce++9lJeXY7VamTJlCps3b2bVqlXeMn/4wx8QRZHbbrvNJ/iexvClw/upvxf47rebz4+a4bfchozJzGqp41+FR/jimL6T+B3Y8j5RsdGkjcn1CpoO5NYmokZfHYkAFUXhzL5/I+mNzFz5taC3e2fLv7hh1b1EmsOXFysYslP1PDQ2K+jyhyps/GZfAUadSIzbGfR2oZxt3cUUQIujldSMeOZPnda5MISE1x47r+EtatyKGwEBFZUmZ5MmajSuGQYsarrHo/nJT37CT37yk1636Ygc3MFTTz3V535MJhN/+ctf+Mtf/hJiCzWGilANhbsTym0hIzKOMvsJbK62XhM6KrIMqEyYvdjvetEUgWQIrxF8uHG7HJza+wKK7CZ76po+3bW7o9cbrrig6Q+zUqzMSrECsL1wcLyJmuWexrKSJKLIwY8MdUdRh//0U5QhiuyYbC40XOD2t29n12d3BZVjTENjuDOM3R00rna8IzVXKMLrf+Qu4JmCo32Wi7D0Mo3Qp2eTgKoMTsLHYGioLuDw1scZP/t2Zlz3YMiCBkDsZ9qKaxGz2FPAGnUG3ANwelCuApsanajjb6v+hk7QYZJMV+w3qqEx2GjSXGPQUBhYmgSbEtqFNkJn6DFl1fWzrb6MU598Qs7UmSHVqygKtLaiutrA2YhSU4nsaEBtrQfJhOp2gdsNcse/yxPLxu0C2eVZBj6CSWqtJ6Q5DaAs/wDVl08xd+23Q9ruWsCf7UvgssHjL/KvTq/DPYBYRKrKsJ9+AshvyMetuvnylC/3SIehoXG1ookajUFjoNNPUYLCvw8e9n4W8NywBEBpf62uqSU+LaP9RqbS0qbwyoFXvNvUHDtBXkkkAG7ZRbKxEveJzVw+rnpSbqtqZ+ptVUWpaaL68ce77Q2EtmrMMY0YRkxCaBRRXJGI519BNlgRJ3wGjGYEnQF0OgSdvsurHiQdQjfPQP2Rx0LqC3vVYer3/ZuEEbNRFQVhOMeUGQRCs5MJHn9iySDpBzhSoyJcBaJmdvJspiVO41cHfsXvDv0Ot+JmdspsHrvuMaIMwRtFa2gMJzRRozFoDNRQ+HNz+jbY3bN5Ewsnjwu4/nyhytg7u46IrOhXW1z5x1DryzHM7swcz6TZlD37XQwXd5Oy6oF+1RsMzvpzOC59yKTP/YHW8gLyN/4f8eNmETex9+jH1xKDNeGXlZDBxk82te+jXRqrEFubxqH3C7379pW4PdvUdXl9YyMxk4a/6NRLep5d+yxHqo5wquYUDtnB/x39Pz6/6fNsXL9xqJunodEvNFGjMWj0N/dTeAnTE7Pg35bGkJxDdO5CLr/5a1LX/SdC0EHsgjNEle21tJ55gZiF/wNAROpocm57mOqjW8l/8y+MuekrCDrtZ9yVUATQjLGTmDE2vJGKi8pLqau/OtKyCILAzOSZnKs7x28P/RaAIlvR0DZKQ2MAaFdDjUGjQ9SIQ2iPrgYR3+Tse+9jHTmCEdOmBS4kSqD42lmoiqfuyIwJGGKSufzGz4lZcDctFw8gtzagtNowZ84gbuZafxX23XbZSdPB/4d1Yc+ksbKjDcXtouLAe6TMW8eZ539JRLwnposhysrIpX3HARqOlFQ3U5JfhyAK6PUSZouB+GgTissVdB1DPfFzNbh0d+fpU08zPm48i0cu5raxtw11czQ0+o0majQGjQ5D4SE1Puxj3yVHjhAZH4errY0TGzf2aKuzrY2Zd93lsY9RfO0s2ioL0MelAaC3xDNiww+p+ODPWGetxxQ/ElFnoHzT/1Gx+XEQdSFNUamKgm3fT4me/QiCH1dbe30lYz/zbQDcLY1YRowifeU9ABS+94/e6w5L7qrBobSwgQXzPR5dbQ43TU0OaprsZF3WwdghblyQXG0Gt6qqUt1WzZ25d/LAlMGbRtXQuBJookZj0PCO1PTTUDgQZ48dobayEgC3u/cn+BZV5eSbb3lGbFQVQRS73HQEyhvqGbd8OZkZ/l2jSw4c4PBLL5GaGEWc3nekprXoOFFdUioIko7UG7/tUyZ17TcBPMImBBoP/pLIyQ8imWL7LOtsrMEQbQ267uF8w+3aNLNRh9moIykhkqraq8dwVVYUxGHcx90RBIElI5fw12N/ZUfJDhaOXMjXp319qJulodEvNFGjMWgM1PspELWVlSy63t+UTk+aR4zwRrX2x2Rgy5YtZAQQNelz5pA+Zw5n33wZQ5KBrlFN3I1VmBLS+mxDxYdPIuiDz0PWeOT3mLJvQW/JDFhGdjqpPbkbQZRoKS8kMnWUd12Yu/uKsOPjIgx6CYO590uSIrupPLCduHHTMcYm+i3jbOu/O3Y4UFV1eGc898Pvlv2OJ08+yct5L/P48ce5d8K9mgeUxlWJJmo0Bo3BCr4niCIOextGU+DIwaFgNptxuVzo9XoAyve+guJs84krEx3txJi1rF/1q7KDlFXB5WVqPPIYhhELMcb3bryasfwu2qqKUBWZ6PRsLGOmB9+eYTb9ZGt2EBVtZNbU1IBlVFVBdrRRuXcHiXMWU33oY+KmzMAU0zOzel/CaLBRlKtr+gnAIBn4xrRv4FbcPH/meWS1/y7tGhpDiSZqNAYNFRWTU+r3SM0Hr71MZJTnaXHUuAmkZXlGI+YsvY5tb29kxfoNXiEyEAwGA06n01uX0FTByNXf6nM7R1trUPXL9ZeDii1jO/T/MGasxJTUt0DRR8eij/Y/NdWXZhluN9yCUhs5mTG9ltFHRlJ35jBJ85ehM5pJWbSamsO7cac1E5U6+so0NEg8IzXDq4+DZf2Y9bx49kXufPdOXrzxReJMcUPdJA2NkLi6xkg1rioUVcFukPt9E42KtrB4zY0sXLWGprpadm16j10fvMf+j7aikyTOnzgWlna2tLSg6+IWrZhigtpOaquhcttTVGx+HFUOPOURv+IrXN74CxSXw+96VVGw7f85plE3BiVorjVioozUNvnvmw7iJswmcfoidEbP6JwoiiTMWExL8aUr0cSQkK+CNAmByLJm8cq6V2h0NPKjj3801M3R0AgZbaRGY9AYaJwah9OTmVmUJMbPmMX4sLWsk9LSUqxWK0Zjp81LsNMzqRt+CIg4aoqp/PDvXYxZPDc0d0MpaXf+HHNSJqIliUv/+Boj7/kNBktC574UBdv+nxI58X70lqwBH4/qdiMMU6OapgAzGiOSozhxooLR6TFB11V94hOUNgdxk4dfRnWX7CTKGDHUzQgZm8PG17Z+jcqWSiL1kRQ1Fg11kzQ0QkYTNRqDxkANhU0GQzib45eysjLGj/eVS5HpU6g8/C7JM2/qdVvJ6Em/EDEyl4iRuT3WV+18norNfwNBwJSSjaDIlL38QxJiTRgc+dhUGdx2oiY/iC5qZFiOR5GdiH0E4wunTY2iKrgVNy7FhUt2eV47/rt9bm67TIGtALNkRkFBURVUVaXN7uZyUzMFDQ4UVUHBs1xRFVRU7/uuyxW9DbGljUu2syi2zrpUVJoai6gq2emzjYrqLRPUclX1aaNPW7otV1BAxbu8stBGdIIJc7UBQRAQBRGh408I/Coiekd4OuzQZFX2/Cuyp69VN4qqICsyLsWFrMq4ZM+rW3F7/lU3btntWaa2v8pu7/ZupfM9eB46JEHibN1Z7/eaFJHEf8z6j7CdJxoaVwpN1GgMGsMhTo2i9B58b/r06WzZsoU1a9Z4p6Ac9WVEZUxBVmTvzSLgq9J+41D8rM8e5fs5ehSivpXjyemMyWvgTGSaZ9tL2zyvsgtFcSHLbhTZiaLKyLITVXEjKy5UxY3S5V+V3SiqC1WWEVQZUZXROVzoimQuVWwFVfUGCFQV1fNZlql21vJE02veGzXgvcF7/1QVVI9dlIKConTeEDtusm7F7f2Og8FpmsxrF17rsXx5/WTs8gneOB2acWq6QSav+GyP5damdC4f29ltqSfRgdrHqSi0ywkREQQQBBFREDpFCSKCQPtrhyChc7ngCRlQ5sgDAd/+BK+I6qBjnerpbK9A6vheJEFCFD2iSBI89mmiICKJkndZR5mO9zpR57NcL+rRS3r0ot6zXJS87wGv+EkyJ1HcXMz3Z3+fBSMXhPRdaGgMFzRRozFodHhQHK86jkEyeAVAxxNl16dL742yy42zsaKME8eKvKKh46m0Q0wosmeUwC27PTdd2Y0iK566ZE990aXRPFv9rGe5IqMqKoriecruePpFhjf+/AZVkVUoisKslmaqzeUhZYaGzvD8Xe+bQpfl3jJ5EK0otFbtRRREdKLnZiUIEqKgA1EE0fNekHQgSN7PoqRDECUQdEiiDkHUIUgGBEmHWxBxR4jYrQYiBQlBEkD03HxFUYT218T2GyPgM0LQdeSgY33HKEPHTdH73+WzTtT1XN+tjF7U41JcNDobsbvt3puzdxRDWO19713epS2Blne0XexyTF3r7axf6Lm8y7F3LaehoXH1ookajUEjUheJpAj84qXvBlVeREISRURBQhJEdHor8hG99wnV+6Qqdv5LooQotd8gJRGdoMMgGRANIpIkocvRkWZMQxRFdJIOnaRDEiUkSUIv6dEJ7Z/bn3C9T7mihE7o/KwTdd5lkij5Lu/26ndd120FnfemqqGhoaERPgR1uAWtGCQaGxuxWq3YbDYsFstQN+dTgaqqFDcVo6iK52bvRxB0HSrXbvIaGhoaGt0J5f6tjdRoDBqCIJDZS1RcDQ0NDQ2NcDI8fT81NDQ0NDQ0NEJEEzUaGhoaGhoa1wSaqNHQ0NDQ0NC4JtBEjYaGhoaGhsY1gSZqNDQ0NDQ0NK4JNFGjoaGhoaGhcU2giRoNDQ0NDQ2NawJN1GhoaGhoaGhcE2iiRkNDQ0NDQ+OaQBM1GhoaGhoaGtcEmqjR0NDQ0NDQuCbQRI2GhoaGhobGNYEmajQ0NDQ0NDSuCT41WbpVVQU8Kcw1NDQ0NDQ0rg467tsd9/He+NSImqamJgDS09OHuCUaGhoaGhoaodLU1ITVau21jKAGI32uARRFIS8vjwkTJlBSUoLFYhnqJg17GhsbSU9P1/orCLS+Cg2tv0JD66/g0foqNK6G/lJVlaamJkaMGIEo9m4186kZqRFFkZEjRwJgsViG7Zc3HNH6K3i0vgoNrb9CQ+uv4NH6KjSGe3/1NULTgWYorKGhoaGhoXFNoIkaDQ0NDQ0NjWuCT5WoMRqN/PjHP8ZoNA51U64KtP4KHq2vQkPrr9DQ+it4tL4KjWutvz41hsIaGhoaGhoa1zafqpEaDQ0NDQ0NjWsXTdRoaGhoaGhoXBNookZDQ0NDQ0PjmkATNRoaGhoaGhrXBNeUqDl//jzr168nISEBi8XCokWL+Oijj7zrjx8/zl133UV6ejpms5nx48fzxz/+sc966+rquOeee7BYLMTExPClL32J5ubmwTyUK0Jf/QXwrW99i5kzZ2I0Gpk2bVpQ9V68eJFbb72VxMRELBYLd9xxB5WVlYNwBFeWweqviooKPv/5z5OSkkJkZCQzZszg9ddfH4QjuHIMRl8VFRUhCILf/1dffXWQjuTKMFjnFsDevXtZvnw5kZGRWCwWlixZQltbW5iP4MoxWH21bNmyHufVV7/61UE4givLYJ5b4In2u3btWgRB4M033wxfw/vJNSVqbrrpJtxuN9u3b+fw4cNMnTqVm266iYqKCgAOHz5MUlISzz//PKdPn+a//uu/ePTRR/nzn//ca7333HMPp0+f5sMPP+Tdd99l165dPPjgg1fikAaVvvqrgy9+8YvceeedQdXZ0tLC6tWrEQSB7du3s2fPHpxOJ+vWrUNRlME4jCvGYPQXwL333kteXh5vv/02J0+eZMOGDdxxxx0cPXo03IdwxRiMvkpPT6e8vNzn/6c//SlRUVGsXbt2MA7jijFY59bevXtZs2YNq1ev5sCBAxw8eJCHHnqoz1Dzw5nB6iuABx54wOf8+s1vfhPOpg8Jg9lfAI899hiCIISruQNHvUaorq5WAXXXrl3eZY2NjSqgfvjhhwG3+/rXv65ed911AdefOXNGBdSDBw96l23atEkVBEEtKysLT+OHgFD768c//rE6derUPuvdvHmzKoqiarPZvMsaGhpUQRB6/R6GO4PVX6qqqpGRkeqzzz7rsywuLk598sknB9TmoWIw+6o706ZNU7/4xS/2t6nDgsHsr7lz56o//OEPw9XUIWcw+2rp0qXqww8/HKaWDg8G+7d49OhRdeTIkWp5ebkKqBs3bgxDqwfG1SvXuxEfH09ubi7PPvssLS0tuN1u/v73v5OUlMTMmTMDbmez2YiLiwu4fu/evcTExDBr1izvspUrVyKKIvv37w/rMVxJ+ttffeFwOBAEwSeQk8lkQhRFPv7443A0fUgYrP4CWLBgAS+//DJ1dXUoisJLL72E3W5n2bJl4Wn8FWYw+6orhw8f5tixY3zpS18KW51DwWD1V1VVFfv37ycpKYkFCxaQnJzM0qVLtd9hL7zwwgskJCQwadIkHn30UVpbW8PQ6qFjMPurtbWVu+++m7/85S+kpKSEqcUD55pJaCkIAlu3buWWW24hOjoaURRJSkrigw8+IDY21u82n3zyCS+//DLvvfdewHorKipISkryWabT6YiLi+sxfHc10Z/+CoZ58+YRGRnJI488wi9/+UtUVeX73/8+sixTXl4exiO4sgxWfwG88sor3HnnncTHx6PT6YiIiGDjxo1kZ2eHqfVXlsHsq6489dRTjB8/ngULFoStzqFgsPqroKAAgJ/85Cf89re/Zdq0aTz77LOsWLGCU6dOkZOTE65DuGIM5rl19913k5mZyYgRIzhx4gSPPPIIeXl5vPHGG2Fq/ZVnMPvrO9/5DgsWLGD9+vVham14GPYjNd///vcDGgd2/J87dw5VVfnGN75BUlISu3fv5sCBA9xyyy2sW7fO78301KlTrF+/nh//+MesXr16CI5scBis/gqWxMREXn31Vd555x2ioqKwWq00NDQwY8aMYTmPP9T9BfDf//3fNDQ0sHXrVg4dOsR3v/td7rjjDk6ePBmmowwPw6GvOmhra+PFF18c1qM0Q91fHTZsX/nKV7j//vuZPn06f/jDH8jNzeWf//xnuA4zLAx1XwE8+OCDXH/99UyePJl77rmHZ599lo0bN3Lx4sUwHWX4GOr+evvtt9m+fTuPPfZY+A4qXAzdzFdwVFVVqWfPnu313+FwqFu3bu1hy6Gqqpqdna3+6le/8ll2+vRpNSkpSf3BD37Q5/6feuopNSYmxmeZy+VSJUlS33jjjYEfYJgZjP5S1f7ZPVRXV6v19fWqqqpqcnKy+pvf/Ka/hzVoDHV/5efnq4B66tQpn+UrVqxQv/KVrwzo2MLNUPdVV5599llVr9erVVVVAzmkQWWo+6ugoEAF1Oeee85n+R133KHefffdAzq2cDPUfeWP5uZmFVA/+OCDfm0/mAx1fz388MOqIAiqJEnef0AVRVFdunRpmI6yfwz76afExEQSExP7LNcx99l9NEAURR+vm9OnT7N8+XLuu+8+fvGLX/RZ7/z582loaODw4cPeOcjt27ejKApz584N5VCuCOHur4GQkJAAePqrqqqKm2++OSz1hpOh7q9A9UqSNOy8xYa6r7ry1FNPcfPNNwfVnqFiqPsrKyuLESNGkJeX57P8/Pnzw85bbKj7yh/Hjh0DIDU1Naz1hoOh7q/vf//7fPnLX/ZZNnnyZP7whz+wbt26ftcbFoZUUoWR6upqNT4+Xt2wYYN67NgxNS8vT/3P//xPVa/Xq8eOHVNVVVVPnjypJiYmqp/73OfU8vJy73/Xp739+/erubm5amlpqXfZmjVr1OnTp6v79+9XP/74YzUnJ0e96667rvgxhpNg+ktVVfXChQvq0aNH1a985Svq2LFj1aNHj6pHjx5VHQ6HqqqqWlpaqubm5qr79+/3bvPPf/5T3bt3r5qfn68+99xzalxcnPrd7373ih9jOBms/nI6nWp2dra6ePFidf/+/Wp+fr7629/+VhUEQX3vvfeG5FgHymCeWx3bCYKgbtq06Yoe12AxmP31hz/8QbVYLOqrr76qXrhwQf3hD3+omkwmNT8//4ofZzgYrL7Kz89Xf/azn6mHDh1SCwsL1bfeeksdPXq0umTJkiE5znAx2L/FrjBMvJ+uGVGjqqp68OBBdfXq1WpcXJwaHR2tzps3T33//fe963/84x+rQI//zMxMb5mPPvpIBdTCwkLvstraWvWuu+5So6KiVIvFot5///1qU1PTFTyywaGv/lJVj5ujvz7r6J/CwkIVUD/66CPvNo888oianJys6vV6NScnR/3d736nKopyBY9scBis/jp//ry6YcMGNSkpSY2IiFCnTJnSw8X7amOw+kpVVfXRRx9V09PTVVmWr9DRDD6D2V+/+tWv1LS0NDUiIkKdP3++unv37it0VIPDYPRVcXGxumTJEjUuLk41Go1qdna2+r3vfa/HtM3VyGCeW10ZLqJGUFVVHZwxIA0NDQ0NDQ2NK8fwc0fR0NDQ0NDQ0OgHmqjR0NDQ0NDQuCbQRI2GhoaGhobGNYEmajQ0NDQ0NDSuCTRRo6GhoaGhoXFNoIkaDQ0NDQ0NjWsCTdRoaGhoaGhoXBNookZDQ0NDQ0PjmkATNRoaGhoaGhrXBJqo0dDQ0NDQ0Lgm0ESNhoaGhoaGxjWBJmo0NDQ0NDQ0rgn+f/hFgVW6sxJ1AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "VRAno = 0\n",
    "print(\"Now draw a polygon that expands the VRA core to a smoother shape for VRA number\",VRAno)\n",
    "c, cList = 17, [17]\n",
    "mVpop, mVpop2, cityPop, mVAPt2 = 0., 0., 0., 0.45\n",
    "ptXs = [-81.78, -81.87, -81.53, -81.49, -81.485]  #iterate on these until they look good\n",
    "ptYs =  [41.5, 41.41, 41.44, 41.54, 41.64]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "VRApop, VRAmPop = 0., 0.\n",
    "plotPoly(VRApoly)\n",
    "plotPoly(cityBoundary)\n",
    "plotPoly(countyGeom[c])\n",
    "for c in cList:\n",
    "    #plotPoly(countyGeom[c],2)\n",
    "    plotPoly(cityBoundary)\n",
    "    for t in countyTractList[c]:\n",
    "        if cityBoundary.contains(tractCP[t]) or VRApoly.contains(tractCP[t]):\n",
    "            coreVgroups[VRAno].append(t)\n",
    "            coreVgroupPop[VRAno] += tractPop[t]\n",
    "            VRApop += tractPop[t]\n",
    "            VRAmPop += tractPop[t] * (1. - tractWhiteVAP[t] / tractVAP[t])\n",
    "        if cityBoundary.contains(tractCP[t]):\n",
    "            cityPop += tractPop[t]\n",
    "        if VRApoly.contains(tractCP[t]):\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\"B\",tractCP[t])\n",
    "                mVpop += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else:\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\".\",tractCP[t])\n",
    "                mVpop2 += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "print(\"pop/aDP of high minority within, outside city are\",r5(mVpop/aDP),r5(mVpop2/aDP))\n",
    "print(\"city pop, pop/aDP are\",cityPop, r5(cityPop/aDP))\n",
    "print(\"VRAcore pop/aDP, pct minority are\",r5(VRApop/aDP), r5(VRAmPop/VRApop) )\n",
    "print(\"confirming, pop/aDP =\",r5(coreVgroupPop[VRAno]/aDP) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "b0a7f78b-b293-4ea5-b9dc-bf5f975cba6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "516 0\n"
     ]
    }
   ],
   "source": [
    "print(len(coreVgroups[0]), len(coreVgroups[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "645ea160-ef88-4243-8960-f570b5ee632c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now read in a shapefile of Cincinnati to be kept whole\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "CITY = \"Cincinnati\"\n",
    "print(\"we will now read in a shapefile of \"+CITY+\" to be kept whole\")\n",
    "cityDF = gpd.read_file(\"./state_map_files/\"+CITY+\".dbf\")\n",
    "cityBoundary = cityDF[\"geometry\"]\n",
    "cityBoundary = cityBoundary.to_crs(tractGeom.crs)[0]\n",
    "plotPoly(cityBoundary)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "bba65d64-27c5-4f4c-8d1e-017b05f810b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#coreVgroupPop[1], coreVgroups[1] = 0., list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "5af3d9cf-04e3-4fbc-b0ec-70f026a16483",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "516 334\n"
     ]
    }
   ],
   "source": [
    "#print(len(coreVgroups[0]), len(coreVgroups[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "009f4bbf-c9de-46b2-b24e-72c9a262de3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now draw a polygon that expands the VRA core to a smoother shape for VRA number 1\n",
      "pop/aDP of high minority within, outside city are 0.30342 0.02481\n",
      "city pop, pop/aDP are 308320.0 0.39195\n",
      "VRAcore pop/aDP, pct minority are 0.66476 0.46172\n",
      "confirming, pop/aDP = 0.66476\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "VRAno = 1\n",
    "print(\"Now draw a polygon that expands the VRA core to a smoother shape for VRA number\",VRAno)\n",
    "c, cList = 30, [30]\n",
    "mVpop, mVpop2, cityPop, mVAPt2 = 0., 0., 0., 0.45\n",
    "ptXs = [-84.63, -84.4, -84.44, -84.45, -84.58]  #iterate on these until they look good\n",
    "ptYs =  [39.09, 39., 39.15, 39.3, 39.31]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "VRApoly = Polygon(pts)\n",
    "VRApop, VRAmPop = 0., 0.\n",
    "plotPoly(VRApoly)\n",
    "plotPoly(cityBoundary)\n",
    "plotPoly(countyGeom[c])\n",
    "for c in cList:\n",
    "    #plotPoly(countyGeom[c],2)\n",
    "    plotPoly(cityBoundary)\n",
    "    for t in countyTractList[c]:\n",
    "        if cityBoundary.contains(tractCP[t]) or VRApoly.contains(tractCP[t]):\n",
    "            coreVgroups[VRAno].append(t)\n",
    "            coreVgroupPop[VRAno] += tractPop[t]\n",
    "            VRApop += tractPop[t]\n",
    "            VRAmPop += tractPop[t] * (1. - tractWhiteVAP[t] / tractVAP[t])\n",
    "        if cityBoundary.contains(tractCP[t]):\n",
    "            cityPop += tractPop[t]\n",
    "        if VRApoly.contains(tractCP[t]):\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\"B\",tractCP[t])\n",
    "                mVpop += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else:\n",
    "            if tractWhiteVAP[t] < (1. - mVAPt2)*tractVAP[t] :\n",
    "                plotCenter(\".\",tractCP[t])\n",
    "                mVpop2 += tractPop[t]\n",
    "            else:\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "print(\"pop/aDP of high minority within, outside city are\",r5(mVpop/aDP),r5(mVpop2/aDP))\n",
    "print(\"city pop, pop/aDP are\",cityPop, r5(cityPop/aDP))\n",
    "print(\"VRAcore pop/aDP, pct minority are\",r5(VRApop/aDP), r5(VRAmPop/VRApop) )\n",
    "print(\"confirming, pop/aDP =\",r5(coreVgroupPop[VRAno]/aDP) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "05d2d0c6-3c5f-4a80-bd5f-ceac40b5e221",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now define envelopes for these two VRAs.  Start with Cleveland = VRAno 0\n",
      "For this VRA, since Cuyahoga has 1.608 CD pop, allow Lake County[42] to be in the envelope\n"
     ]
    }
   ],
   "source": [
    "cList, VRAno = [17, 42], 0\n",
    "print(\"now define envelopes for these two VRAs.  Start with Cleveland = VRAno\",VRAno)\n",
    "print(\"For this VRA, since Cuyahoga has\",r3(countyPop[cList[0]]/aDP),\"CD pop, allow Lake County[42] to be in the envelope\")\n",
    "\n",
    "coreVTDs = coreVgroups[VRAno].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "6f3f04b0-435b-4b3a-8203-a5d0c0db1331",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for v in coreVgroups[VRAno]:\n",
    "    plotPoly(tractGeom[v])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "6acd75e7-caed-409a-81ba-6560ba43cc83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now define the envelope of nearby vtds that will include the core in their adjusted HD\n",
      "  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\n",
      "final envelopePop/aDP, corePop/aDP are 0.22338 0.7779 for VRAno 0\n"
     ]
    },
    {
     "data": {
      "image/png": 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fsK4aaD4BgYmQdhMAqUFJHN3xI3z9E9DpPUccaunrZf/bf6STfuZF3Uy0t8Nv5uC7zzr1zV31Ofb889f4BEbg5RsoLDUCgeCzy56ydn78wUnK24zcNyOGby1LIdDLcLWXJRBcFL7uOn54czr3zYjmxx+c4vFXD7EgJZgf3pxOYrDX1V7emLQNtFHcWYxcs5+ZIVPQnREz55OR9x1K8v9CVt63Xc7x56N/JtlXz+JVjiOm8xlJ3M2+7xvsfvnnzH/0/11zlhrx0UogEIxJfdcAT/zjEA/+7SB+Hjo++OpcfrY2SwgawXVBcqg3/3hsBs89NJWKNiMrfreL//3oFEaz7WovbRj9Njt7uvr4R9l2dtfvpn2wnXmR85iW+0XKul3nmNHpPJA05+wXRrOJY421567LOpbf8jUnQQOg2Fw/v0ajZeodT7D/jWcu7YGuAMJSIxAIRuX9ow384N0iPA1afn9vDrdkR3w2zfMCwShIksSKjDAWpATzwq5K/rKjgs2nWvjDfVOYHOV3VdbUabVxsm8Q8xlHXg9ZZqqPJ8earcyLWjTUz83dH7tlgN7uGrx9opEuiE6SkDlUX8nuykrctFqMZgvZEaM7DwPoPb1pb6wgKCLR6Zq3XwgJs5ezafNL5D2cd828JwhRIxAIXNJvtvHf60/y78P13JIdwU/XZuLjJhKXCa5v3HQa/mNJMjdlR/DU60e4/S/7+M8Vk/jCvATkK5zbpt1i41jfABKgAv5aDTP8PDFcIFIUF0c+QbFzKf3km0y7++2htv6+bsoPbaGwx06Yn5G5ej29xn7qBsuA5Y5Oo5wehafm0tlY5VLUAITHZzL1SBaK3YZGe228NwhRIxAInDhR38NTbxyhpdfEb+7K5o7cyGvmk5hA8GkQH+TJO1+ew283lfLzDSXsKW/nt3dlE3KZw78H7Qr5Pf1YFIVAvZbFAd5j/q3JLpxzw6Nm0Rm3AFVVOX1oG4PdLWjdPEnPu5lsvYHWxjqaBwZYsnQ+ewsqLmnN/Y3ttGw7iGpXsPb6cy15sghRIxAIhlAUlb/tqeJXG0tIDfPhb/8xl4TPgMOkQHAl0Gtlnl6dxtzkIL751jFW/n43v70rm0Wp46tgPRKqqmI6dozN5TX4L1rELH8vJ2vMaJgVq8v2arMP9p3/JjIjj8Bpi4ePMQ/i6eWof2XQeXGw8Hly0u8Z9z07iyroOnwKVBVDcACx96xAo9PScLqLa6ksthA1AoEAgNY+E9966xi7y9r54vwEvr18EnrttfMJTCC4WsxLDmbD1+bxn28f49GXC3g0L47vrUqdcF4b1Wql/2A+qtmEe04Oc6OiKdqzG8OtayY0j8XW77K9WhfLmgWLnNoP7ttJd18fM6dNB2BaziMMGFs5Vvw2htYTkO36PoFhCdQe3UN+fQWNfTK3PPSYUzZhjVbGblO5Rk6fhKgRCASwvbSV/3z7GCDx6udnMD8l+GovSSC4pgjyMvD3R6bz0t5qfrGhhAOVnfzxvhySQsau/q3a7fTv249qt+E5axaym+MIKwCInJRC4Z795M6dPe61aGQ3fnL03zyQuIBE77H/Vk0WMytWDA/39vAKYcaUx7Hk/xEARVFQVBVFsaMoKnbVjqqqpC1/ELtip+74XpflETRaGcWmjHvtVxohagSCGxizzc4vN5Ty971VLJoUzK/vyiZIhGkLBC6RJInPz41nZkIAT71+hJv+uIf/vjmDe6dHu/SDUVWVwcOHsff04Dl7NrKHc/mQxNRkPv7LDgZyc/DwcB/XOv4z6xb+WrKZU9314xI1o6Gt0/GubQOSJCEhIcuy419JRiNLSJIGSYKADteFLGWNhF2IGoFAcLUpbzXy1OtHKG818sOb0nk0L044AwsE4yAjwpcP/mMu//PhKZ5ed4LdZW38fO1kfD3OncGYy8roePFFAr/4RTymTRt1vmWPP8Kuf79L7oql+AeOr8imqsLN0VMA+N8N/0tKUApFFVqYAx8dLKa9dxC9znE8pm2oHXGeeL8QZs1ZNeb9CpqrXF+QuKZ8asSBuUBwg6GqKm8W1HLzH/dgstl598k5fH5uvBA0AsEE8NBr+fntk/nLA7nsKWtn1e93UVDdiWKx0Lt5M0gSYT/9KV2vv46lqWnUuXR6HZPyZlN6+Mi476/XaHmhdDsASYFJ3DX9LlYmpvD6jmO09w5y/6Js7lvo+JoTNbLDy6WWObAM2tG7Xzv2kWtnJQKB4IozaLHzn/8+xofHm7h3ejQ/vDkdD714GxAILpbVWeFkR/vxjTeO8r1fvcMXUty5+yt3I+sdGXpDvv992n79G3zvvAO3RNf5XgAG+/tx8xmj8uR5PJ6yiJfLdvE/+98kzNoLwK1zMlz2He0Dy6WWOXDz1GLut2K4RoSNsNQIBDcIHUYz975wgG0lrfz5/lx+ccdkIWgEgstAhJeO5xOM3D0nke81+/Pd94ux2h1+JrIsE/rd79Dz9r+xdXSMOEdyeiparZZjBw9RUrpnXPd9JHk+8XIiX5j/hVH7qVfwfMgn0J2e9sErNv9EEe9oAsENQHV7P4+8lI/RbOfNL84mK8r3ai9JILgusDY0MFh0Ep9FC3lCryfkSD3f+fdxWvrM/OWBXLwMjm3W3tODva8PbWDgiHMly700HtqBtHotx458QPaUm13223CyBKPJjE2xMycpYcw1Sqr9op5tLHrbuzmx/SB+IX6QOvOK3GOiCFEjEFznHK3r5rGXC/D10PHuV+YQHeAcgSEQCCbO4boDyG98wJT//N+htrVTogjxduNL/zjMPc/t56VHphPi44bnvLn079uHIS7OaR6lux3juufRT8om/kv/DUCDzsCJ45+QNXnlsL6VHZ0A3DV1hOQyLpAGurGWFaLabGC3IvsGoY2eBICx00ztx85OwBceWGnOy1nVVF5H5ZFi3H28mL12KbVFR8e9liuNpF5Ju9Q1RG9vL76+vvT09OAzgXNLgeCzzJZTLXz19UIyInx58XPT8Pd0rsQrEAgmhk2xsb1uO1lBWVgbGmg6dZgZt31xWJ/ipl4eeSkfrSzzyudnkBTiRf++/QwcO0rwl78MOHLD9K97AckygOddTyJdUCm7pq4IY28rGRnnsgO/si+fh+fMmNB6T77xMsmJYaDVgUaL7fRBdDnL0SXl0LJ1HaFLbh/XPKb+QQo+2EFwTCSpcyYDYDWZaKkqJyotc0JrmggT2b+FqBEIrlNeO1jDf71XxLL0UH5/7xTcdBPLfioQCJxpH2znUMshFkcvRq9xiJD6siM0FB1k5tovDevb2D3IIy/l09Jr5sWHpzE9LgDT6dP0rHsX7xXL6du4CXffHny+/LMR71dZVYjFbCQ1dT4fFRWTGRFGbID/hNZ84r33yLrttqHXtupTWHa8iuQXRndTO+Ff/umYcxTvPUpnYyszb12EVn8umqqruRFUFf/wyAmtaSJMZP8WjsICwXWGqqr8ZmMp/+/dIj43O46/PDBVCBqB4DJwsuMk5d3lrIxbOSRoAKKSpxCVNYuD7z47rH+Enztvf2kOqWHePPDiQTacaMItJYXAxz6Pubyc0O99F1346HWkEuJz0ercKDi2DYvNNiFB09/ezs6//AXpgkzA2rh0PB75Be63fZ3egGUjjreYLRz6eDd7396ET5A/eXctHyZoAHQGN6xm87jXdKURPjUCwXWExabwvXXHWVfYwNOrUvni/ASRf0YguERUVeUf+afw8GrjzoyFLvtEJuWgqir73voDs+786lBJAV93Ha8+NoNvv32c3/3pPSqnRPHkl27G/667AJDMXWPePylxBkX5HzHPc+ToqdqdO2mursbd129Ye/KcOUTk5Iz6bBfS29FD0fZ8JI1M9pJZePh4jjje3dubzoa6MZ/h0+KSLDW/+MUvkCSJr3/960Ntzz//PAsXLsTHxwdJkuju7h7XXA0NDTz44IMEBgbi7u5OVlYWhw4dGrquqio//OEPCQ8Px93dnaVLl1JWVnYpyxcIriv6TFYee6WAD4418vt7c3hiQaIQNALBJdJrsrL+WCPL0mIwDoxetTEqeQppC29jzyu/wGoxDbV31TZyR18p82emsu3gaf73o1MoikNMqAbnDMJ1B9fTuOtVGvf8C4Dm/HfxH2zHeOwDVMV1SYJ+nRYGjRgsA2TdduvQ12iCBobnsLFZrBx8fzun9x9j1m2Lmb12yaiCBkCj1WG32Ubt82ly0ZaagoICnnvuOSZPnjysfWBggJUrV7Jy5Uqefvrpcc3V1dVFXl4eixYtYsOGDQQHB1NWVoa//zkz269+9Sv+8Ic/8MorrxAfH89//dd/sWLFCk6dOoXbmeJgAsGNSkuviUdeKqC+a4BXPj+DOYlBV3tJAsFnnrrOAUqa+7glOwJJkui3WsYc4x8Sw8x7n2LvP37FjHu+SeG6zbgH+LHwi/eyEPhTaz2/3VNFU4+J397tiGCqrdhMb9vJoTnUmjKy7vkz7Sd30LD9JXS+oYQteHj0Gxv0xK65mfZtmzn1z1cAsA4O4ObjS2juNPySU0YYKKEoCie2FWDs6mHqqrm4eX12IyQvStQYjUYeeOABXnjhBX760+EORmetNjt27Bj3fL/85S+Jjo7mpZdeGmqLj48f+r+qqjzzzDP84Ac/4NZbbwXg1VdfJTQ0lPfee4977733Yh5DILguKGvp4+G/56MCb39pNqlhwhFeILhUTjX20meysiw9dKhNHmdJAYO7F81ZC/jgpb9z86OP43GeSMiN9eOvWbl87Y2jfO5v+TwbYKevrZjMWV8f6vNm+9/p/uTjM0Umw6ANyjZuAMCuKgwYjegUBd+QEKITk7HbbbQ11BMQEkrGw48NzaMoCq2HCij78H2mf+M/ndZp6e/nVPVJWt40kj5vGkFRo/v3fBa4KFHz5JNPsmbNGpYuXeokai6G9evXs2LFCu666y527txJZGQkX/nKV/jCFxxZEquqqmhubmbp0qVDY3x9fZk5cyb79+93KWrMZjPm85yXent7L3mdAsG1xpHaLh7+ez4Rfu689Oh0wn3HV+VXIBCMzIHKDnzcdMxMGJ4oTxlHSYHStibeOX6UpQmT8FueQW19P4piRFVUbHaVzoZuFkQ28tYUL17YWcw++RjB84Y7/3q6aZm3dPWo99n52kv4+vjS2dqCLMvETkojODJqWB9ZlgmbMZPO0yXDn0NRKP7oI2wWC4GZUcxfM/q9xuJaOuSesKh54403KCwspKCg4LItorKykr/+9a9885vf5Pvf/z4FBQU89dRT6PV6Hn74YZqbmwEIDQ0dNi40NHTo2oX8/Oc/58c//vFlW6NAcK1R2tzHIy8VkBzqzUuPTsfHbfTzfoFAMDqqqrLpVAsZET5E+TsfwYyWAcVmt/PcwV146w18f8kq3nu3mKDJMhqNhCRJaDQSsiwTdc8a9DYTqVEqX0uM4D/f9SOippJJg1Z83cf/N7zggUfZ/forpM9fQuAFYgag9M1/oVgdvi499ecceRsOHaLpdBlpS5fgGRLCnjMWoEvhWsoLMyFRU1dXx9e+9jU2b958Wf1YFEVh2rRp/Oxnjlj9KVOmUFRUxLPPPsvDD49xjjgCTz/9NN/85jeHXvf29hIdHX1Z1isQXG3qOgd46G8HifBz5++PCEEjEFwqgxY7m041szg1BO8R/p5GcrzfWn6Kgto6Hpk2kzAfPwA8fQ0kJDo7AZ9PMvDLsBC+/9LLPP5KAa9+fibu+vGnX5h338Nsf+VFpt96O15+w+9lN5tJ/9yjQ68HOjo4tXETYclJTLv/vnHfY1xcQ+nuJhT9dPjwYVpbW8nNzUWr1aLVatm5cyd/+MMf0Gq12O0XV18iPDyc9PT0YW1paWnU1tYCEBYWBkBLS8uwPi0tLUPXLsRgMODj4zPsSyC4HmjtNfHAiwfx0Gt49fMzJvTpTiAQONPcY2JHaSs3TY4YUdCAs09Nm7GXX27fiIzE9xavGBI0wLg3+klh3qydGsnJxl6+/NphLDbX0U0jseChz3PgnTcxGY3D2hXFfuZfhZMffEDl3r3k3nsPUdOnD+tnGRyY0P1ccg1FWU7IUrNkyRJOnDgxrO3RRx8lNTWV7373u2g0F5fgKy8vj9LS0mFtp0+fJjY2FnA4DYeFhbF161ZyzoSn9fb2cvDgQb58Jt20QHAj0DNg5XN/z8diU3j7S7MJ9jZc7SUJBJ9pipt66eq3sCorfNxjFEXhn4UH6DWb+Nb8pWhd7H0TkSaRfp48/9BUPv9yAd96+xjLg8Zv+ZBlmYUPP8aOl19k7n0PU/fJR5h6evAOC6f2YD5tVZWkLl6MZ4hrJ2C9+2c30skVExI13t7eZGYOr+/g6elJYGDgUHtzczPNzc2Ul5cDcOLECby9vYmJiSEgwGEeW7JkCWvXruWrX/0qAN/4xjeYM2cOP/vZz7j77rvJz8/n+eef5/nnnwcYyoXz05/+lOTk5KGQ7oiICG47L/WzQHA9M2Cx8ejL+bT0mnjridmiMKVAcIm8uq8aXw8dt+aML8W/isqxxlo+Lj7F3TlTSAwMHbGv3Wqju7ETVVVQVRVVUVBVUBUVVVVAAUVVUBWV3o5ubp0RxB/uy+ErrxWiiWjlpqXquPNMabV65j/4CHt/+P+Y/tQ3sdnslO/bT1RUDFMvQ3SwzWaj8ONDWAatzL1n3rBrJftO0dFoJz7nkm9zWbjsGYWfffbZYQ668+fPB+Cll17ikUceAaCiooL29vahPtOnT+fdd9/l6aef5ic/+Qnx8fE888wzPPDAA0N9vvOd79Df388Xv/hFuru7mTt3Lp988onIUSO4ITDb7Dzxj8OUNvfxry/MIjnU+2ovSSD4zGKy2tl0qoVVWWG8vK+GfeXtzEkaO7dTSZWZkopTzIoK48CxJg5KTUiShKo6C5D67m6yOnTIsuy4JoEky0iydCZUW0Kj1SLJ0GtwJOpbmRnOL26fzF/e3s9vN53m2ysmjfuZ9G4e5H77+/zz2VdZODNz3H4zY8mm4r0n6WrqImfZFAaNAxR+cojcldNoq2ulZF8JcZPjcPcdWdx92oiClgLBNY5dUXnq9SNsPtXCy49OH9ebr0AgcE1d5wAnG3tYlh6GRnZs6a8drEFC4v6ZMaOO/df2o9y/KOeyr+ntgre5a/pdQ69/9OIzvFyezA/WpPH4vIQxxyuKwoZdhXT2DbBk1mQ255/goVV5Q6UaRmPvxg3MXrZiWF/zgJmG0joaTjeSNDWB8KRz0VXHtx2lu6UX3xBvspdMAaDmZAexGYFOc18uJrJ/i9pPAsE1jKqq/OC9E2woauKvD04VgkYguAQOVXcCDovI+TwwM5Z95e386pMSvr40Bb3WtRhw76uicdfxYW22/i50/mc3fRUUBVVV0Hr6EZKzclzrUtThHjjT4gLwiErkpx8V4+Ou4+5pI0fu7jhYRFVjO0tnphMd4fCbWTknhzc2H+T+FbPHdf8LxU/hJ4eJyYhi3j3znfpOXpwzrjmvFkLUCATXML/8pJTX8+v49Z2TWZHhOtJPIBCMjsWmsLW4hcxI3xF90eYkBZES5sWvNpaweFKIyw8Q/t6eRMxfO6xNsduwDvQgyRokSXb8K2to/efvOF3ay7ksLucf9Jyp+3Tm2Cqsq5L8xufOrfdIKTEzE1kabOY3r22htCiSlFCvoethgT6oKlQ1tjN3SjILZw73dQ3192Z2VjL/3l7AnYuGRztdyGC/joPv7x86PlNVlYHeQSInjW61Op9rJ/ZJiBqB4JrlrzsqeHZnBf91Uzp3jfJJTSAQjExVez+lzb0sSQsd0QJzliAvN36wJp13DtfxzJbTfH3pSPWSziFrtBi8nY9ePGwQfs/d41rjhXexmz5i5srZ3LVS4mtvHOEfJ1t4aW4KeWeE1s///hF3LMx2EjPnEx8RxKDZwgd7jnLz3JwR+/kEBpM9Iw2Du35ca73WuaQq3QKB4Mrwen4tv/ykhKcWJ/HY3PixBwgEAifWH23AaLKxMjN8TEFzPndMjR41e/B40IxR3XpUJEeUlEaW+L+7c5idGMgXXj3EkdouAJ7+/BpSEpyzCF9IenwE0aEBfLzv+Ih9dHo9JvPYhTo/KwhRIxBcY3xS1Mz33z3B52bH8o1lY39SFAgEw7HYFNYfa+RYfQ8d/eaxB1xAu9GEZhxOtlcKWdagnElmq9fKPPvgVNLDfXj05QIq2oxjjB5OTnIMYUF+bDpY5PK6p5cbA72XIQHfNYI4fhIIriEq24x8++1jrMoM40c3Z4w7T4VAIHDQ1mfmQGUHqzLDuCU7gvePNvDrjaV8bUnyuK01z+6s5DsrUp3ay82+SNs3DfeSGeFPtLbDi4fGca8T2w5ibG1HVRUkSUZVFXqralHVRUN93PUa/vbIdG7/y16+/M/DvPdkHh768W/fuSkx7DtRwe5jZczLTh52LTQ6mJKjFYTHfPYrdIMQNQLBNYPJaucrrxUS4mPgV3dmI8tC0AgEE6GkuZe2PjM3Z0cMtd2aE0n3gIXfbiphdmIQCyeNvnm/daiOZSP437QpPjy+aOa41vJJx/Zx9TO2tjP73jVj9vN11/Hsg1O55U97+cF7Rfz2ruxxf+hp7uihsr6ZqenO4eFe3u7UNFQib9cwfdHIPjqjcS3lhRGiRiC4Rvjh+0VUd/Tz3pN5eBnEn6ZAMBFOlpSyudzI12+a6nTNz0OPj7uev++tIj7Ik9hA1/4urQNmNjV3kWa3MaCFeZH+aDXnxI3nBP4uaxQD+9/4aOi1uacXxWrFLdAfAEmSiZ2ahWKzjnvO5FBvfnZ7Jt948xgz4wO4Z/roEUqKovDBnmNoNBL3r5jtFLpdWVlJWVkZq29dRm/HAK//Yg+JGRG4eemIzw7GO2B8yW2vpY9f4p1TILgGePtQHW8dqufXd04mNUwkhxQIxovNZqOkpISwsDBu8wvmrx8d5OElU/BwGx7N0z1g4cc3Z4woaACeL27k2VWZyBLsb+rhz0dqsZ8xQ2glicK23nGvyxwQzOwlc0bts+P5N7D2GWk4XU1kSty45l07JYr8qk5++P5JsiL9SI9w/X5xvLye42U1LJs1mVD/4RnI7XY7u3btwt/fnxUrVlBb3sLpozXc+tWpeHi5M9BrofJIK8YuM8Gx3qzr6yPG61ydObuq4lufT5aHLwCSuRcybh/X+q80QtQIBFeZkuZe/uv9Iu6eFiVCtwWCCdDV1UV1dTWtra2kp6cTJMs8uiyXl7ccYWl2PEmRwUN9n16VyrO7KnnvSAObvrHA5XyKLA1ZZvIi/cmL9D93TVH47cXVbB6RvIdvp7/XiF9wwITG/ffNGRyr6+Errx3mg/+YO6yyeL/JzPs7C4kOC+LBVXlOY6urqykpKWHu3Ll4eTly39SUNLH0zhlDfTx89GQucERXFe1qIMwucU/uuWir/sE+TnhGEpM6y9FQvmVC67+SCFEjEFxFjGYbX3mtkLhAT35y68WdZwsENxqqonK88ChB4SFMmTKFzs5ONm3axPLly3HT6/jS6hms21PEqdo2bpmdDjiy5n5lYRKJQV68c7iOO6Y6f4Dwks4dzyiKMjTu7L86WaK4sx9FVbEqClZFxWJXsKtgU1UUVUVRHaVNKgfHjrrSGfQTFjQAbjoNf3kgl5v/uIfvvnOcP9+fiyRJnKpu4tjpam5fNA03vc5p3N69e3F3d2flyuGZjrX6kR2oM+dHUr6vblibxWpCr3We/1pAiBqB4Cqhqirfe+c4rb1m1n81DzfdZf4YKBBch9g6BrE0GtF02Ymc5qiuHRAQwOzZs9m4cSMrVjjqGN0+N5PKxnae+zifJ1afs0KsyAzjV5+UYLMpaM9zBu4xWcnv7ec3Vc1oHPUnsSoqCvCtuFC0ssy9yaHsb+pBJ0toJAmdRkIrOf7vodGgkUGSJHSShFeI+xX9PsQFefLruybzpX8W8vK+am7NCuFoafWIpRG2bNlCRkYG4eHDS0TYFYVNNhPtB+qcB6mABNGh547sjlUdo6Grlbkp0y7n41w2hKgRCK4S/zxQw4fHm/jz/bkkBHuNPUAguIFRVRVTaRcaTx0eWcFI7cM3YV9fX+bOncv+/fvJy3McuyREBOFVUo+iKMOcZB+eE8fzeyr5ysIkALZUd3CoqYeXZ6c4fbhoNVv4aUUTP0qOJMzDwNrE8YU+n+zq592K1nH3vxhWZobz+bx4/vzxIXqagvmPtc61mhRFYcuWLUyZMoXg4GCn6xpZxuojMTXdjwgfb6frAEeKtrH1uAaL3UpmRALZ8dlD1+xWMyW9/WRcvse6JETyPYHgKnC8vpv/+bCYR+bEsWZy+NgDBIIbGFuPmcET7RjifNBHu954Aby9venv7x/WlhkbQmF5w7C2UB83LDaFzn4zvzlYxYDVxvdmJ7i0loYY9NwU4sdPyhv4W33buNd8f0oYFkXlUOv4nYsvhmhaiQ705u1yhV6Tbdg1RVHYvHkzU6dOdSlozvJUTjpbq+tHvN6tyizJms+qKUuJDnWEhat2O3tO7WHzqf1UR4zuEP1pIkSNQPAp0zNg5SuvFZIW7s3Tq50TfAkEAgeqqmIq68LeZcJjcjCy27nDBS8/b3pbupzG+Pj4UF9/boNOjgzicHnTsD7dg/3U23bw7a3vYHcroZ2SUdcxzdeTHyZF0mmxjdrvQtbEBnL4CooaVVWx22z84ZF59FtsfPOtoyiKI1xLURQ2bdrEjBkzCAx0rk11Pm7asQ5tJDgvJ05h+SE2nNhBRnQ6K7MX4qEzjDz0U0YcPwkEnyKqqvKtt4/RZ7LxxhdnYdAKPxqBwBW2ThOWhj4MCX5oPJ2dUsMnRVN1pAyfUP9h7dOnz+Dlt9/HENIGKuh1Gm6fkz6sj11VmBKewgPZCwH4S/Hmca1JN4GEmA1GE7/eVYHNZIPMses0XQySJHHb4ll8uOcwv7kji8f/Ucizuyq4KUqh8OABggKC8Pf3H3OeXx86zlM56SNeN9tt2O02mjvqOVJ3mqmx6eQmCZ8ageCG5/ldlWwpbuHvj0wjyt/jai9HILjmUK12h++MnwGPrJGPTPQebljPFGK0ma3s2lhIp5cMEszPm0NydOjIYzVaLBNIeje0tnH0qesd5KVj9Rwp6+D2tDAemh034ftMhCBfL+5YNIO3txzkoSxvdnzwPhGLs7ntgc+x8713xjXHJF8vgr1Gzt+zMG0W7xduJszbn5umLr9cS78iCFEjEHxKHK7p5FcbS/nywkQWp478hisQ3IioqoqlqhfFYsctLRBJM7pVpPJQCREpMVTklzDYP4CHzo/FiyeN617uWj0W+8RFzWhU9wzwxqlmgjz09DX384/7p+Hl9ulssR56HZ46Hf5qD3LyTP73qIm5C8xYzCbam5oICA11yiY8EdwMntw+fdVlXPGVQ4gageBTwGJT+O47J5gc5cu3ROVtgWAYjjDtfgzxPmi89GMPwJE3pvxwMfGTU0ickUr+1qoxxzxb8B6qqkdVFVICz+WpUS+hetFZMRPiqec7M+OQZZk/tA9OSNAMDFrZsLkKnU7DLasSJ3T/XQUnqahv45aFuQT6+9DaZ2L573bxs4+K+fUd91CUv58T+3cTMymNxIysiT7euBC1nwSCG4wXdldS1d7Ph/8xd1gtGYHgRkax2DGf7kLj74ZHVtCExsblphCXO/IHBGP/AEeOl6AqKoqqoKrQ2tHOD297fFi/fquZDvP4nHkNkkSHxUagXktt7yCvFTUS6mUYEjNnaTea+f3W03jptSxMDSFxlJQNew420NY2wE0rE9i8o3Zc6wBoazGyYcsxQqUuHr3/pqH2EG83vrcyle+tO8Fd06KZPWceAEUH95O/ZSMzlq5wmku6pqo3XRpC1AgEV5i6zgH+sLWMx+bGkxYu6joJBADmqh4Usx239ECky1CR3m7s5P0PKofmaqytY+HSBfj7eiNJMkgSzceOOI2r6e9gevD4rKePRwfz+UOlpFm0hHi78d1Z8S6Pdc5mB+80Wthc3Mw/9tfwreUpw8oZNLX0s3tvPdnZwcydGTnu57SYbWzdWY3S00WOtofk5c65ae6eFs3bh+v5wXsn2PC1+ei1MpkzZ1NTWkLRwf1kznSdoO96QIgageAKoqoq/73+JIGeer62JPlqL0cguOooFjum4g4M8X5ofMZ31DQSO3dWYfDUgQr23kFW3JmHm/vIlaX1OucoKgWQx2Gp6Boc5M/rdxLUa+a+m+aSED56mDRAgJeee6bHMGCx8fstp3l6dTqKorBhSzVancydtyUPE0WKfeSDHKvFxu59dZgsdhKlDjyj3IiavdplX1mW+NK8MJ5+/yDfeWcrMxPOlWKoq2ngmEcJKioSEioqFsX1fY9VVVFSWUmofwCePt5kx8ZR1dpCbVMz/QMDQ/0sgwOwwtkCdDUQokYguIJsPNnCtpJWnn1wKp4G8ecmuLGxNvdj6zThnhV8UdaZtq5Bykrb0GhlVCA0yofURIe42KA0YkVlZEkz/JilZbCX92sP0W0xckfcyJYLRVF4bvNeTte08+iymUyOj5jwuj30WuYkBvGXj0oItkosWhBDkL9zGQX1AnGhKApFx1uobxtAI6l4154g1NcDr5goIqePnsO3bbCL26fk8Mq+ar61LI3ogDPRltOnOmVYHnZPu5339+xBUVXaWlt54q67OFxRQW19A80trYQHBzN1UgoB3ueSIFYdPTzB78iVQ7zLCgRXiH6zjR9/cJIlqSGsyBDRTgJBX1UHbfYekvGfkB+HcdDC8eMtGNy0zJoR5XJD1mo0WG2jJ8frMfXw64J/o/fwxM/gxX0Jc/DWjSyDjtQ18vqmg+QkxvG7L84b93ovpNdoofp0F2mhXiyaMXLOmqQkf46dasPPoOFkRSdIEplpQWSkB1P60XZUHw8y7hifRUQva3hiXhwfHmvkv9ef5G8PT0M6k0BvtEgou6pis9u5Y+FC7KqCJElMS0piWlLSiGOuJY8cIWoEgivEM1tO0zVg4Ue3ZAy9mQgENyqNjY30B5kJ942i8OP9ZC+djs5t9OOntsomCosqsASFs3J6PDrdyJuxRiNjs9ud2i02G5tPldBlMiF7z+T2mAQSQ0evx2Q0W3h11wHqGoz8x80LiQ4ZO4HdSGzYU0uP0cL9q5LRaUdef3/rALrKXk52GUnLDmXVskQkSaKpqISiXWVE5GQQnJ4wrnva7Xb83d3oHujjhzdn8KV/HmbjyRZWZoaNOu5QSQm1zS1Eh0cgyzLyOIsOiOgngeA6p7ipl7/vreaby1LOmX0FghuUiooKPDw8SE52+JVNWTGLom2HCImLIHxStFP/ppI6WmsaCYmNYOlNc1h35MSoggZAq9FitSuAY1PfdKqEtv4BtBqZJclJhPr5jrlOu6Lw4YlTdA+YKa0x87vPr5xQfpcPDpyi02jirrmZNLUOsvNIE4unRRAX6TpAwDpgpXZfIzazgrufgaRlsaRcIHyaDheT+/Dacd2/u7+f3+45SGagHzpZQ4CXJytCPFiSGsKPPzjJvOSgoWPw/Q17SQlII9A9AFVVeX3TJoLDI7h94YJxP++1iBA1AsFlRlFUfvBeEfFBnnxh3vg+WQkE1zPx8fGUlpZiMBgICAhAo9OQvWImNUfLKdl1jNT5jqrPiqJwascRfIP8yV4xc0L3CPD14a/7C6jT6En20PNIVhpRAQFjD8QhZjacLKVnoJ/lGWkEe3mSF9PGM+/vZ2ZKBHkZ8WPO8d6+k0QGeLMwK4HfvrKRGZnZfP5W59puik2h/kATgz0WtAaZmDkR6DycHZjP4hUUgM1sQWsY26m6+XAxM4JDuDk3c1j7j27JYNnvdvKbXb9jTmIaZtsAacHTyG/Yjl6VaK8cZHbWQuIjxh+FdT7Xkh1aiBqB4DLz1qE6Dtd08cYXZ6EfxdwsENwoyLJMWloatbW1WCwWwsIcxyCxOUn0tnRx+KO9hMRH0FBex+T5uXj4Dc/rYrJY2FpSNvRaUVVae3sJ8vEhPCqKDW09SOhZPmcO8wNGruJ9Ib0mM5+cLMauKCyclEy4z7mxSZHBfHNtMC9+cgiDTsu0lGi2FJbR1jswbA5VVbHaFDJjg/EctHF4xzG+9eAyPDydfXW6qnpoOtpG3NwIPILHZ8ENSIyh/WQFYblpI/ap3HoAm9lMf+8AXpOnDLtW3lVOv7Wbxxd1c7K5l7sz5w+llkj0T+DAph8zf9F30OmdHZc/iwhRIxBcRjr7LfzikxJuz41kVsLYIZ8CwY2E2WwmNHS407xPqD85K2ZRffQ0rXSj9XC2SNw+NZs+k3mYb1pdjxfrmjuZPmDiP+MmVgaguqOLfeVVuOm13Dw5A3cXod5neXzlNP628RC5SZG09Q5w38Jspz493UYO7T6Bf3IUC9e4tjC1nGjDWG8kfe3IDreu8AwNpHj9Vjoqa5H1WjQaLZaBQfTubkO+LHpPD6Jn5WDqN1PYe86vyGy3Udl5ktTg6Tw4M40HnovgB+8V8fYTs5HPRJ95+0VcN4IGhKgRCC4rP/+4GFWF768e+VOVQHAj0tbWhsFgwGAwDGu32WyoqkpMdhKt1m7MZjN6/XBh46nX43lB26bTFfwwOwM33fi3sT0VFdR19hDi48O903PGLYRumpHCur0nndoVReHQ7hModpVFa2aOOF/T/kasVT1EZI9coHMk3P19xu1To/dVsHc3M2gzsbduK32DzcyPX0ugu+MY7n9vy+Te5w/w9uE67pkeA4DO4IOxuxEvv4mHql+LCFEjEFwm8qs6eftwPT9bm0WQl2HsAQLBDYDNZqOsrAx/f39iYmKcrq9bt47ISIcvh6qqeHiM71jGXWJcgmbAZuH1qn10m4301xbz9PKvo9OObJlxRai/D/1mKx19g0NtNeVNVJRUM2VmOv7BIzsh122pxTPKi/DZEQyebKf740p8FscgX+Zil6dPd+Dmp6fOVMjm8m5WJt2NXjtcCM5KCOT23Eh+vqGEZelhBHjqScq6i+P7/4Be543NbiImZSV+gROrP3UtIUSNQHAZsNkVfvDeCabE+HHvdOdoDoHgRqS5uZmuri6Sk5PRap23G7vdTmhoKHl5eQxarewqr6LXbCG/pg6z9VwVbVVVUVWGajgBVDQ2Qa7zURBAl3mAdbX59FtNaCUNd8XNItjdm56EeawrXMc9M+6Z8LM8sDAbWZYwD1rYv+MIIaGBLL5plKR9NoWaDVUE5YTgHe3w1XHPCMKQ7Efftnq04R54Zo8eWj5e8g/WI2tlfn3yI1bGV5Mbfq+ToDnL91ensbW4lV9sKOZXd2YjyzI5eV8HHN/n00ffoKFiGyBjMXczZd63LssaPy2EqBEILgMfHm/idIuR9V/NGzqrFghuVCwWC+Xl5QQHB5OWNvJR7N5jx6k3W3mj4AgGnZb4oCB2lVUwJzEeD70OWZKGkvRpZOnMa4fj8TMBwwVBfX8X79cWYFcVPHVu3B4zA3/DcKuPr4fDotI32Ie3+/gdigG0Wg27duZTVFPC4/feh14/srXHYrRQt7GayKWxuPkOt9rKei2+K+MYLO10WG1WxCFPsMjt3t019Jocx3ayLBEc4EHulDDSTF7cnv1fbDzxE4LT/xOD1tnqFeRl4BtLk/nJh6f48sIk4oM8h65JksSkKfcNvT6V/7cJretaQIgageASURSVP20vZ9GkYCZH+V3t5QgEV5WGhgb6+/tJTU0d0cfEZLXx7tHjSJLMghkziPI7l8clJyp8XPdRcQiZd2vzURSFQDcfHktehNsYR0u3ZN/Cv/L/xWPzHhv3M3W2dvPC+68RGh7C4oVzeH3Pe6ydtQofD+fq23aLnco3T5P8cDqaUaIf3ScF0GGzs+31E9x6b9aofc+np2uQfrvCqmXOR0SqqlLe0cyitG+z7dRvWDDpK3gYnKuf3zsjhj/vqOCvO8r51Z2urV1wbSXVGy9C1AgEl8jGk82Utxr55R2Tr/ZSBIKrhqqqnDp1ioiIiCEfGVeUtrZzsKKKO6ZmOzn/TgRjbwHb7f48kbIEvWZ8W1lVaxVbSrZw97S7x9VfURT2bCzEJA/gHq3nc8vvQJZlEiPieGffhySGxjF9Us6wMRq9hpC8CGo+qiLh1tF9U2pre1h+ayobt1eyepkjKqquqhuT1U5ScgBGsw2dLFFX3UNZTTeyBG46DUvnx7qc7xtz1vKnAx+wJDGXJRnfY3/5CyyY9KRTPzedhifmJ/CLDSU8tSSZKP/rJ0GoSKIhEFwCqqryx23l5CUFMjX24lOpCwSfVex2O6dPn6a0tJSYmBj8/Uf/O3iroJDPzZ5+SYIGIEjvxn3xs8ctaN4qfYu/Hf8bK9JXDB1DjcaR6iP89eMXqNXUYvI1ccfUm3ll+1u0dnWg02q5d/5taCQtr+98D4vVMmysudeCT8Lo96gs6yAgwhsvbwNRQZ6cKuvAarFxqLgVu83Oxq2VnCho5MD+eiQZVi6JZ+XSRBYuiBvRAibLMjOiUuk2GdFr9EjSyFv8/TNj8HbT8tzOyjG/F2NxLVl0hKVGILgEtpe2cqqpl9e/MOtqL0Ug+NSpr6/HaDSSmJiIbpRcL+eTFn5pxV0HTf2UnNpCVu12bHHT0br5jdp/wDLAn4/9mcUxi5nqN5WG7gZigpyjsIb6mwd4+9DbJAUn8eRNTwDQ3t3JB4c3sShjLnuL8wnw9GdB9ixyUzKxWC18cngHt8xaDkBLYQvYFYKynI99ztLeYqS9pocZSx0ZxydPCWfDJ2WcPt3OogUxaLVawuP98XHTTrhunIQMOMpFKIqV7v4aQMJT74skaZAkLZKkwV2n5fF5Cfx+axlfXZxEqM9o9c0/OwhRIxBcJKqq8oet5UyL9WdWwvjSsQsE1wtHjhwhISGBqKiRq067YiLVuc+ntb2W+qqDaHTuZGStoFrTh91mHnVMfnM+u+p38eSUJ/HQetAz0MMnpz6h3djOzTk3O/U/UH6AstYy7plxD27nVe8O8gvg0SX3svHwThRVJcg3kFe3vU2khxe6Tj3T/TNRFIW6LXV4hHkQmjuycFMUheKDjcy7JWVY+6qVjrpY39r4DJnBqUiSxIDF6tracjYE7IzgOf87qqgK92UtBMBNH0BZeyF21YbVNggooNpRVQWwkxJiZ0pUKS/siuUHN6U73eazGPIgRI1AcJHsq+jgaF03Lz86XVThFtwQ1NfX093dTVBQEP39/fj6jn2McyHqBA8rysoP0NdRh6d/JFOm3oE0joR5iqLw0smXCHAL4NvTvj3U7uvhy5OLnuRUwyneK3yP23JvG7q2qWgT7jp3Hprz0Ijzrpi6gK6+Ht7Y82/Sa0KYdPMUwmaF0VnSSfV7FYTOiUAXqMVo7MPLy3V01cmCRibNHDnRXaJfEo/mrhzzGcfDrIQHR72uqiqHqn/Mqwdq+fLCRAIvMr/WtfTuJ0SNQHCR/GFrGVmRvixImXiWUIHgs8bJkyeJjIwkKiqK1tZWZs6cWMHJs4xkqek29ZDfuAuNdG5bijnxHt5e/oRHT8Urec6w/m6ewVQc+TvdnTa6/VK5ZcFdADQbm/nT0T/xWNZjxPu6LkTZM9hDz2DP0OtPTnyCn7sfs5LGPkYuKNlKsKdMfE4ML+z6LTmRM3DTeaCJlKmoOo22Vou73p1+k5GegW6ig+JQVBt2ux1FVamrsZI1c8WI81vNfrx6eDcP5ORxur2NlOAQNFcoTURL9zHyUqfxj4Pwtz1VfGelcwHOzxpC1AgEF0F+VScHqzp57qGpwkojuK6x2+1UVFQQEBCAn58fACEhlydp3Fk2lr6Mu3sMi+NWoZXP25biVwHQW/h/TmNiklYQk7QCy473aIjP4OTpo7gZ3DlYtp85hlxivFz7zfxj3z+YFDqJh/MeBmBdwXtE+oczM2l0kdbc283/fbCOW1ISWT7/dgC+OzWVt3b9jcjQbHIn5TmN6e3rPpNLRkaWNWhkDQ3afA7UljErJtnlffJi0tlUfoT/2/cOaSGRbK3Kd8hASUJGJi04hmmRyXgZLj1reUXHIWbE3stDs+p4dX8NT8xPxHeUiuGfBYSoEQgugj9tLyc1zJtlaZfm9CgQXKuoqkptbS0mk4mEhIRxOwKPhcbYwv5PfsPsleeOhbrNRpYmL0Aja8Y9j+XwAdSmEuToVOJjkvl49zpC/cK5f+kjGI19rN/1NotyV+DnOzwaa3JILgf2HyczNIuyE3Vo2n3oGrRgjbNx6GQRs7NznO71XlEhDT09/Oyeh1m/vYA3N+zDarOzYOokHlzyFfYXbWVb4Qcszh3up+Pj7ec01z3ZC3jp8CYa+zq4PcPZMuTvoWeS/yTumOrsq2S12TjaXM3rJ7bTOdDLpKAYbku/+CCF6ICZVLbt4fF5i3h5XzUv76vma0vPia1rKappvIiQboFgghyr62bX6TaeXJQksgcLrkusVitFRUUEBgYyadKkyyJomot2U7Lln8zw0+IWPLxSdVTAZPqt/aOMdt6qJC1opy1Fl+3Y1FfPu52pWY6yBV5e3ty64G4KTu3jVNkxADp6unh30xb6jRYev/du8rcVY3DXc+vNi8lOT2X9lu34+3jz7w2b6OjpAqDfbOYX2zYS5u3Dk3mL0Go13L5sFolRwfSbLPxp3R4AZmcuodPYPu7vxaNTlxPtG8ivd7/tdE2rkVBU13JCp9UyPSqJL0xbySO5KzDZLC77jZcov1TajTUEexu4b0YMf99bhdFsu6Q5rzbCUiMQTJA/bS8nIciT1Vnjy3wqEHyW6Ovro6amhoyMjHFXsR4JxWalpmAD5v5eQpNzSM2cB0Br4fvD+oV6RnCgfgdWxcSU8HlEeDn+thTrAOaWfFS7yXlyjQYU+4j3lmWZZbPXcPTwId56fT1+MYHcsmQRGo3DGrTwltyhvuFBwdyxchkAKbHxfLJ7D21WC80aO0/NW4iHbvhRz+naFh5fuxCrfeT7j8X0qGQONZahquqwI2yNLGFTlHHNoY4gfsaLqtrhTHTVEwsSeO1gDf88UMOXFnx2C1pe0m/sL37xCyRJ4utf//pQ2/PPP8/ChQvx8fFBkiS6u7vHnOdHP/oRkiQN+0pNHe6wtHDhQqc+X/rSly5l+QLBhClu6mXzqRa+sijpijnvCQRXA6vVSklJCV1dXWRmZl6SoOlvq6N02+uU736H8PTZpC59EP/YTACUbmeLRpJ/EssTbyElaAp95t6h9sGaT7APtOCV+fhQm2q30F+xnsGG9Qx0NY+6joaCZrw6grnzrptYnpc3JGhGQ5ZlmpsCSfRL4buLVjgJGoDc1FgKT1XgZri0BIKR3gGUtDUNa9NrZGz2scWKfBlijqx2K1rZYYUL93XnzqnRvLi7kkGLQ6x9Ft/hLtpSU1BQwHPPPcfkycNTww8MDLBy5UpWrlzJ008/Pe75MjIy2LJly7mFuajo+oUvfIGf/OQnQ6/HW6JeILhc/Gl7OVH+7tyaM3JIpkDwWUJVVaqqqrDb7SQnJ49r478Qc18nNYc2YTH1o9W74ekXTMrCe1yGXw++8i3MobN5p20PC+fPJND93NGWoijDxJSkMaDxDGOwegP2foeAkWQd+phFeK64ha7SQloKdhA8df6wcYpNoeyTagLifYmcHjbh58nNCqG0tIMDchOzcodbZHv7+tlxuJS7ls0Y1q6TddQ2lxMTNvxobTRumjSD3+59h7SQu4baPPQaTNaxLTW+bh50Dvby1/yPR+3n9eFOwlQrvlMnDWs3Ntay4Es/wmo1suv0XwGYnWDlVGMlz+4sYGqsPxtKDUzp2IfKcIFzoeRqMcFTOWMu+VPhokSN0WjkgQce4IUXXuCnP/3psGtnrTY7duyY2EK0WsLCRv/l8/DwGLOPQHClqO0Y4OMTTfzPrZnoJlhVVyC4FmlqaqK7u5u4uDjc3d0nPH6gpYLaE/vRu3uSNO8OJFkzZh4ZOTaXmbd9ieLXtvLv0iaMZjveBi33pYdhVax4aR35XWw2I819+/Fv0eKV/ig6H+d6R/6TcrEYu2nZsxnf9Cw8giIY7DJRsaWW5BVxGHzGZ0mx2RS05xWUzMkIJicjmKKSDvbmN5A3w1HLym6z88t/bOb7D6/A03P49+vWuQ/y7p5/cKB0J+56D+akLyHQd/QoMVmWWRg/hd/tXUdWaCJLk7LRaWRsytiWGr1Wy5OznBMIOjFjNSe27qfp8HHcQ4KZfvcq3DzcyX/vOTSyjgWpXx3Wfcfpo7x1qIOnliymqH0Hd8+ZM8LE59h5um3sdXxKXNQ785NPPsmaNWtYunTpZVtIWVkZERERJCQk8MADD1BbW+vU57XXXiMoKIjMzEyefvppBgYGRpzPbDbT29s77EsguBTeKazHS6/lThdRCQLBZ4menh6Ki4sxGAykpaVdlKCprKxk5649GCQrCXlrkbW6cSXGO4unzczdEV58a2Y8ayeF8MqJRt4vqsJNdqfq9J+orf0bMenfxX/Wj1wKmrPovfwIn7+CgcZaStbvpXZfE+l3JI1b0JzOb+bg+xUcWF/Jqb2Nw65lpgbS3jZIaUUnABqthnsX57Bx3zGXc62d+xB3L3iMhdmr2XViI58UvDPm/adHJfGNvNup7mqhsa8Tg06DfZw+NeMla8lsln/nCfxiIjF2ntkLR9BNj8yJo6nHxL6K9nFHP12qb8/lZMKWmjfeeIPCwkIKCgou2yJmzpzJyy+/zKRJk2hqauLHP/4x8+bNo6ioCG9vh2q///77iY2NJSIiguPHj/Pd736X0tJS1q1b53LOn//85/z4xz++bGsU3Nioqsq6I/WszgrHTTdx87xAcC2gKAplZWV4eXmRlpY24fE2m42DBw9iMpmIjIxk1V0P01N7kqYD7xA+645xzuLYANfev5z92wro7elHq9PyyKKpHKuR6f/gr+i9fZDR0nLqFfR+wQTPvWfMWYMmz4LAOqpLijANBODhNXq2Y5PRwuFPaohOCyDvDkcYc+mBJo5sqWXK0nM5bm5dk8Sm7TX0GS1Myw4jKzUOnU7DPz7YhV6rxW5XcHfTsXbpuTw33h6+rJ37EBX1xXyw71/cPOf+MddvtA7g7+Z53nfo8qMqduQzVmbFbqW9sYLeytPYbBZsqh2rYiUsKZukEC/WFTaQFD2+ea+lXF0TEjV1dXV87WtfY/Pmzbi5Xb7iV6tWrRr6/+TJk5k5cyaxsbG89dZbPPbYYwB88YtfHOqTlZVFeHg4S5YsoaKigsREZ0/tp59+mm9+85tDr3t7e4mOHudPSCC4gEM1XdR1DrL2zsirvRSBYET6u810NvXj5qUjOHp4mv7BwUHKy8tJSUnBMMHEbabubkq3bqW6pYUpCxYQk5ExdM03JgNjxcEJr1Wr0zJvhSME2zxgYt+/PkCpKSb2+99E635u7T0le+g4/DGBU1ePOWdQZDQBYREUHdiJT2AAcak5Lvudzm+mq3mAmbclDh07VR1ro7ttkOlr4pz6L18Uy978BnbsrWNhXjSpiY6vs9Q3tfPiO9sJD/JhTk4K/r6O9SdGpdHa3cgb218gxDfMKY/N+UhIuLtwSr6cKHYF6YyoiZw8m5bKk3gnpOCuM6CVtehkLUff/Ru3qBIHdncSv2Tso6drjQmJmsOHD9Pa2kpu7rlQOLvdzq5du/jTn/6E2Wy+KCezC/Hz8yMlJYXy8vIR+5xN0V1eXu5S1BgMhgn/4QoEI7GusJ5IP3dmxInClYKrS2djP10t/Wj1GlS7iqKoaM5szJ5+eiJS/Ggo6Ro2pqWlhZ6eHjIzMyf0qbqzqoqaggIMHh64eXmRoNEQGuOcqVcx9cKuX4NHMEx7ZKh98K2fg1YP52UJloOdj5JMO7aRae0g8Mc/cIq68k2dS8MHf4Sp41uzrNEwOW8xRYUvkr+1iuy8lRjcHMdrpgErhz+uJjotgJm3JAyN6es00VLVi5uXjtqTncSdV2FbURQOFrbQ0Wmio3WAOdPD0euHb51R4UE8fsciOrp62VtYSpdxgABvD9YsnMbszCXMZgkV9cW8tOkZ7pn/BTzOWGTOZ3Z0Om8e3809k+eN70EvAtVuH/r+RqdMhRTnb+rCz/+A5O5BfvfLbUxtsF6xtVwpJiRqlixZwokTJ4a1Pfroo6SmpvLd7373sggacDgiV1RU8NBDIxcWO3r0KADh4SJXiODKYrLa+fB4E4/MiRPJ9gRXDVVRqS3uxMvPQOKU8ZUp6OnpobGxkaCgIFJSUsYecIb6ggLaqqrwDQ0l+8476aqqorOqmqzbbgOgeutL9Nsk9O6eSMCA4kn0/C84hM15GFZ+EdO7/4f7Q//j0t9GURTa//xn3NPSCf6yc4qOlh3/xNbbiaSZmKdEU9O7BIYHkpp1E0X7dhAUGYFiCaO+pIuZt8SjvUCUaPUyLdU9TF8TT0NZ95CosdsU3nq3lNmzIpk9zXmvGbTYcD9vrkB/H25aNM3xPapv4bm3t3Lfyln4eHuSGJVGZEgcb+/6G9OT5pEalz1srhnRyVR2NXGgthRVvTKBCDarFd04wtAj/dyZnRDIycrTV2QdV5IJ/aZ4e3uTmZk5rM3T05PAwMCh9ubmZpqbm4esLCdOnMDb25uYmBgCAhyfcpcsWcLatWv56lcdXtff/va3ufnmm4mNjaWxsZH//u//RqPRcN999wFQUVHBv/71L1avXk1gYCDHjx/nG9/4BvPnz3cKKRcILjdbilvoM9lYO0UcPQk+XQZ6LbTV9aEqjgRtQdFeePqObYE2W0wUFxfj4+Mzbt8ZRVEo37KF/u5uwlNTmXL33UPXqgsKmHrvvUOvYxZ+jqINfydp2ehVs80bngWtlsHX/wePB/572LXBk6foee9dAh55BH2k678txWIibMXjaAzjT9/R3LwegPDwtQDkLFhG2bEjtJRXMPeOGS7HuHvpWfPVHLRamYbT3UPtH22pYtWKBPx8XH/Pf/5RMe4GLYtTQ5iZEDjsWlxUKJ9fG8iL63bw5bsdQTVuenceWvpVNh96j+q2clZOH+6HdO/k+fx2zzq0DN9nL4V9/3zXkWBPlulvbkO/euG4xt2eG8Vzh4/S0D1IpN/EHcmvFpc9o/Czzz47zEF3/vz5ALz00ks88sgjgEOktLefS8BUX1/PfffdR0dHB8HBwcydO5cDBw4QHOyofqzX69myZQvPPPMM/f39REdHc8cdd/CDH/zgci9fIHBiXWEDU2L8SAj2utpLEVzn2G0KLdW9WAYdqerdvfVEpwVMyEJ4eP8JNBoN2Tlp4zpqsg0OUrxxEzarhcS8PHwinHMw2S+wwssaDZ6+AaiKfbioucDD1dZUhffXXxzWVl5cQfsr/0TX34d5zgIqdxUChQBIZ7LbqqqK1FSOr72TVu1roNWduT78ec5G3agoSMh0t1WRMieb8PDbh/VLzp5CT/snFO3f4WiQzqz1gn/tNoVyq5nSwzI6WUO53k5lVYvr76Oq0jDQxCpUPtxcxlsaD0JCQ/D0dOf8iOw+rR/vrN+C9ryfoST50NFXxx8H30Z7wVFUn3kAxWjiT9vKhtpMJ/eTknAu6vJssNH5yzq/7fxgpObTR/D1csfPxw93PwO1+/eRcGZfHo2VmWH8TZZ570gDTy4aPffOZzr66UIuzEfzox/9iB/96Eejjqmurh72+o033hi1f3R0NDt37ryI1QkEl0Zbn5mdp9v40S0ZY3cWCC6C7tYBulsc6Sk0WpmQOB8M7hf/1mwasJK3JGvMfv3t7ZRt346s1ZK6fDl6T2c/j7O465yPLCRZdt7MLtj7tXHnLA5mo5HKd97hULuZu3/yfQz60etJrf9oG7PXLB7zOc5SWbQRL/8wwsNXurw+bYnr9gvpqD9EbpA/fm4+Y/b9l6WNO6dPZa3NTnNbB4cLi4gPiyErffwJ+MbD+wO13DKB78UwbnKMKz1ymP72dqwdreMa5mXQkhzqxbrCer6yMHFUgfyZjX4SCG401h9rRJbg5snCd0twebBZ7TRX9mI7k4reN9id2MzAT21j6Kmro3L/ftw8vTDrOpGALa//g0Tv9KE+g1395Hxp1ciTACChjlJ7CUCTOJWBf/0PTZ6TsRn7Sb7nHoryR/fTsNpsnC6vmdCn/5OH/4pG8iE194FxjxkJrazFqk6sqKNGqyEyPITINYt5b/2Wyy5qVEXFYrGiH0MIjsakKVPpb2mmpSB/zL7W1i50If7EhPiyvqaf4/U9ZEf7XfS9P02EqBEIRmFdYT1LUkPx87i0Gi+CG5uBXgutNY6kZxqdTFi8LzrDlcl3NJI0aqptpXTDFiITHc6/siyT/95zzLjtCT7euYtJC84dSZS+uWvs+8gyqKMniet3M9DvaSA4ZzI+sfGOcZI0ah6WktPV1Nc1smSRczixsacRRbHR11lNW9NhfANSkCQZD/dYcK+kqWmd09HTRNFKMvYxxNpZXHkTabQaGpvbiQgLcnH14li2dC5vvvUhN61aiH+g/0XPo9jAUt5D5+vbkL3c8JyZhi7k3HzWpnZ6NxaiDfFFGTAT7R3IVH0fr68vpjUt9NxEqgpnajACtCt2SAm+6HVdToSoEQhGoLS5j5ONvXxtSfLVXorgM8jgYAP9/acpP+BJfGYqsRmBSFcheq6uspnykmpsm7eTOHUyCUuXOPVxthKp9De24xnhvDErikJ3Ywf1NT2E9L2PSatjo1RMqKc/oa3HMR94BqvNinufTFDsDKJu/Y6LOUaWNRIS0dGReF1QhsBi6uNEwS8Ji1iOm1cwOXO/QU3pZhS7hfj0NQB0dO5lw76fsmLW94dClxVF4bU9HyEhsSY3D3+v0UWBVtZgHaeoccXNqxfxrzfWs/a2Fbi7XZ60Ip4ebtx33618smUvVtMga1YtukirjYzX7BwCZmZh6zXSf6AEe2cfklYDqors64H/55YOfe/uASo3FPNWQR0/mT8T/XmlJJQzWY9VBSzlXa5udlUQokYgGIF1R+rx99CxcNL4wmcFAputj+7uQ4CKm1skgYELaQ7aSWjc2P4Zl5vqsgaqy+sJCQ9i0epZVHZ2kPCgY/Pf8cKPMPgF4u53JnTZMlxkJN81j2PPf4J/gg5zZweNTb3I2wtRcVgnfEMCmHXrPejc9VisZkKO+TN32lI4E1z0XsF7zJ08lyAfZ1HUoZf506lG9BqZIDc9WQGepAV4oj+TFM5sGkCvc96wGyp3kj7l6/gGxg+1xU5aNqzPsbp2QkNX8dqej1iWNYMw/1DePrCR1Tl5+Hv58XHhTqx2G3NTcwj2dW1Z0MoabMr4jp9GslOtvW0FH360jbvuGOsIb/xoNTI3rZiHsX+Qt//9EQ/cf9uE51BtCvIZYaL18cJ3+bQxx9w+JYrndlay83Qby9LPWWuG8gnJwqdGILjmsSsq7x1p4JbsiGGfTgSCC1FVhZ7eI9isPWg0ngQGzkeSrl4pDVVR2fHxQSKiQ1i4aqbLPh7B4cy47Ymh1xfuSbIso/j7YPXzZ9LyZVi3F5KxKBdXaGSt03GNVqdFp3VtSQjy1nN/YjjeBgN1fSaOtfexq6mbjt5TTHXT0lLTwpSAQY7tOoDO4EFgeAoBYZMYMDYRn37TqM8eHZRCZdMxFqXP4XDVKRoO72NVznQCfRzpRG6atsiRMLb4IB2nConwD2BWytRhCf90kgbrOEXNSLi7GYiOieLI8VKmTJ409oAJ4OFuICgkiJLyWlKTnBMhjoZdsSNPMJ/cpDBvMiN9WFdYP0zUXKsIUSMQuGBfRTstvWbW5orilQLXmEyN9BmLkZDw8clB73ttZJvOW+Y69a5qtVH24jqSH3f2OZF1w1VNb7cROTIIt0A/x1i7gmJXhuoGnY9Go0Fx4dQrS64/DEiSNBRyHO3tRrS3o+TOWxVV3Jw4H84zHpgGumlvPEXpoXXYNb1UVf0ZUNDp/ImIuN8p+3ByZBrJkWkcLN2Op7afLy5d63K9izId/jp17fW8W7AFDTILMqbi7+XvOH5SL/746Syzpmexcctedu01Mj9vnOmQL6Cps5cjpTUMmkz015xGa7PhFR5NUFAgcdFhE55PGbSCOnGrytopUfxyQwndA5Zr3r9QiBqBwAXrChtICPYkO2r0oniCGwtFMdPVXYCimHEzhBMUuPiaMr2PRuKjt1L5z4/H7Fd9upHTR+qITg4hLNpxfBSXk0xV4WkSp6e6HKO4cBh21QZnUsK4EEE6F0n83Dz8iEqaQ1TScKdho/E0FRW/wt9/JkFBi5zGWW1WIgPPlc9prOuh9lQ7sk4+l5fmDNEkY+xs5/clW8gMB8lTpVgTQ8Ys5/I7F9Jm0vHmhn1D6W7OPt/5T3ustonjZkfOmbOuRDa7wpK0ELKjz/n3lDe0cex0DSrq0BwBPp7MyUzAz9sTmM6J/AOY+3qZNnN4NuLx0qXYqCppp7ZrfMLETV9AsI8XC/RWiv0r2b+tk5wYFz5JNpVw1lzUmi43QtQIBBegKCo7Slt5cFbsZ2bDElxZjMZSTKYGJEmHn990NJrLV9D3U0VVObbtLTRuwzP0Wi1Wqkoahl4P9JmJjA9Gd6YEgHeQLzUnKkac1mYbXiMoPiiej098jPZMzSdTjZYErwQ0Gpn6bjNKjHNx4Yn8rXl5pRAf/3WKS77jJGpOFW7gaJXME7dOYt/RJqw2BbnXQtqUUIJCnBNo9nf2UnWsix/deRcAJ9q72HNiM38oVbgvdjLBbqMk3XT34Z55F5fV/pV91RQ1dOE22ImiKESGBHDb/Fw0LqxhZ8maMYuC7Vtorq0hLMa5htZY9KkK0dMiSE2OH7szsO3IbiZPdmSWbjx2gH+3a1h103Snfh0dY0fLfVoIUSMQXEBJcx9dA1bmJF6+kEzBZw+73UR390EU1YaXZwpBQReZ/OwaSLY6aLHx+4ObifVtZ+mkPIIjh+dR6ZTr0erO5anJXZiMu+f4hVtcWAIVNaUkxjr8RzKiMsiIOpew8qP+neQtdFgXOk42u5yjY7CD96r3DlkpzhpUPDUGsjwiCA08l+nYYummsup3pKX+77lnaKmlvmo/EXHT+VxKFP/aUIbNrrIwN5yygxV45LrONVVeUEzWsnMbdVaQPwvc9SxPnMZr1UfptVlI9wliVYRrK9XFYB4wEdxQQXdHFynuA2Q9/Llxj52+aCnb332btvo6subMndB9bXY7+okIcvmcpTovKYi/7qjAZlfQjiK8rjZC1AgEF7Cvoh2DVmZKjN/VXorgKmBtG8DaNkBT47+JX/x5ZPna9iEYjeaeQTadbkMny9yeOY3DXeVOggbA3ctAdOLoPhpb3LTUH2sYsqjYFZUADx2zUkJITcpi074PUCU3issq0WjPOKOeUSiDtedtgnYVu91Z6T2WdotTm9Vm5x+Hy4lzP42t+gChmaswmQY5XvAckTEr0Wq9Aag5nY/V0s/kWfcMjZ2bHcag2UZijC92rRaDl/PPsa+tB68AXyffHAkJD62eLyQ5wrn2t1fz6+I9uJutPBSXg6/fxeWKsZjMbPtoH3a7ncVr8nD3dKe3voHil14i7dFHxz3PorV3UVRwkOriU8SlpY894Ax2u3LuZzMOzredzUoI5NcbSznR0MMUpyOoa0C5n0GIGoHgAg5UdjA11h833dWLYBF8uqiqiqWqB8VkRxvkjkd6EBHht9FWsI/QmQsvbfKrcIJZWNNFUWsfgR56HpwahSzLtJuNWDtdO8C22dt4u+Btp3aj2cijcx2b7YzIQHzdDGSEOCyYjR39lLf0DfV113twurYazBpWLxleW6jAWDX0/8QOG3uNLRg8tcOOnC70s5EkCZuicvfkBLzcJ2G3mqnc9TF9igezlnyXjuZKThz8N/7BifT11JF5QXHIxJhzVgaPSf4MNPXjHe09rE/18bIRo7rOZ3ZQHLOD4ija9zGbt21H5x+Cv6cHCn5jjgVHTpcdH+2lv9/EkjVz8PA+V5LCJyoSli2j6PkXyPziF8Y1H4BiteLhOzGfP7vdjkaewPvaec7ek6N88dRr2F/Z4ULUXDvH9ELUCATnYbMrHKzs5IkFCVd7KYJPAVVRMVd0o1oVDHE+yB7nwpDd/cOwx5loK9xLcG7eVVzl+FAUhY3FrbQNWMgI8eZz04eH+3po9JT11PGX4s00DbQRLHfhpnE8r1E28tXpX3Wa8838N4f+Pz0yjLdOlQ2JGotNwdOgpXfATEWzkU4pmSZ1gClpzvlfzt/yPN00LJ8UjHvAxPySGiuMWIyTyb3V4cAbHJFEcEQSzbXFxCbNG3WsW7A7dstwQacoCqg4WWlGw93Lm5mZoUSnTKWjo5P339kPM0Z/r9i3+SBt7T3MXzIN/xDnCLn63XvoKy8jevkyF6NHpq+zA/2pU/RoZLAr2Hp7Sfz847TlH6Dv1Cm80tPxSUzCJ/GcZU5V1Ak97/noNDIz4gPYX9HBVxZe3jIQlxMhagSC8yhq7KXPbGO28Ke5rlFtikPMKCqGBD/kEUoWeIXGYTcP0HmikICssT/Ru77ZJSx0HAyabPzfznKiAzxYlhxMuJ+7U5+evg7a26t51N/h8/Judx2PT/8CHtrRj9bOD8vWXRC6HRHgQW1HP8dru4kO8GBKQiAAW0pa2VraypLRklYqo5dXuJCimk6Kjf10h2pxbzOSEHzOeTcsJm3M8e7B7vTV9MGZgCa7zc7xzfkkTXN9dKOO8EPT6gxYzYMABAYGsDxo5CKgR/cdo6qqmVl5mcxZ5pwvqHzrPozlRUTmzSFqAkdPAMaODnxr6ol78EHczlhrbBYLNa+/hrm1hdSvf4vestN0Hj1C85YtRN95J+6BQSiqcklZreckBvHbzaWYbXYMEzjG+jQRokYgOI99Fe146jVMFqHc1yWKxY65ohtkCbdEP6RxJFb0jUmns+Iw3SVF+KVmjtnfiXHsId39Fmrb+pkcN9ysv/tkK60dg/h461k2Zbija0v7AFvyG9DKEssyQinpGXApaAAqT+8mMjYXFRVVUck0NwwTNIeOnKKtr8NpXHvzIDgHuwCg12mYn+7sh7M0NYQDlR38+0gDt2eHI8vyMIlwfp6a8XDgdCsaSeKuaQ7L04aTzRyo7eKenMhRI4XOxz3AnY7j7QB0trZzaucxpq/OwzCCM7Q0wg9N7+ZBb3v3+R2dKMovory8gczJiax9YIXT9c5TVXTsPoxXehItidMIzpz471TNW2+R/sQTyNpzW7hWr0exWPHNzkHW6fBLz8AvPQPFZKL6zdexWy3YAqKQE8cXNaWqKsqABWvbwFBbXqAXr1jhxIlWcqL9hp7f3mdFDVCviWhRIWoEgvPYX9HB9PgAdNewd79g4igmG+bKHiSdjFtKAJJmYm++AYlT6SjJp6e8BN+kCUbBjLKBd/SZ2XGkGXc3DWar4iRquvvM3DE/lvX764baKkvq2HS8mZjwEO5dnojmjDDb09wz4n0kSSIk6Nxx1MnK4RaGtr4OVs13PsI5fTyG8qJamrpfxtcnmcaOY/zh5Dy0FzhPmxULhjNtKiqNDR2E+EzmO5vaWNphoaPSgkXuRaORMTaZSPO04u4XjuSiHML5bCtqIszXjfTz8rmsygijs9/M60caeHCac2i4K2StPFR7MyAkCP8gf3pbughOcB0RNRJ6N0+spnObvN1mp6GyHkVVqatspK29h7S0WG6731nMGOvbqN5ylPY+PdMevAkvfzeOrdvJvq2F1Hc1YIg6U0sJdZiospWXkamNGhIMqqpit1iGCZqzJH/hi05tqlZLwPyFqHY7Dc/9De3cWeN61sET7fTvr6By90tnWiQ0wN8CgS1VnB/gb9f14ZmXgef0iScEvNwIUSMQnMFiUyio7uSby1Ku9lIElwnFbMNc3oNk0OCWGnBJpvfA1Bm0Fx2gr+Y03rGX9jvS3mdm19Fm3AxabsuLRqORh4RLWVMf1c1GJ8vMkYMn6ek0EhkThm+IntXzhn/iHkmGH9r2ZwxBwxPJJcXMZ2/Bn4Zea+ttgLOoSZkcy+6PjuAXk0JGxt2EGKdR01XEzNjRE6292fcm98xwhHTbbHa0FxxVnPz7/xHUGIpk8EQ372YkF6n71x+pJyvch/gw57pZAZ4GYnzdefVQHRE9XXgpzj/X84+QVLNKlLff0OuMRbmUHzjJYN8AMdljJ9k7i97dE5vFNPR69oIp1JTXIUkyiWlxzIlyLiNg7uqj/IN8DD7upH9uCR31Rpore0ma6sbK2xcA8PEuI6tnzXcaC1DQ9iIJK25Dp7+43EgdxcV0Hj2KV3w8fQkpHPloG57uHmOOs9T2Yq2PJ+4by4cJ899sKsFosvHfN58L2W9/4QTKgNXFLJ8+QtQIBGc4WteNyaqI/DTXAYrFjrm822GZSbs0MXM+QZmzqP/kPTzCo9HoXR/1jEZj5yD7i1rx9NBy65xol8cnxdXdTrWYBk02+u2DQ7WcDu3odho3O8qPF/cfIlstxT9sEpozTsBeg22kaqPhwF/pbm3BZAjDACSiRTqzW7X3j1zrSNbYsdr6UVU7YT7J7K9ZP6FnvlDQAOgTozEsuAultwvL5teRoyahyzx3zlXe1EuD2crq4JET381PDiLPrvDngk6emjV6Arz2ymYU23BH4aRZGTScrObYpnwM7oahjVuVnctGDD2L3g3FYhl67R8SMOT8213WQMkbO0CF/jYjSWum0JRfhqTRkHrfAjQ6x3Yra2SnKuUjHXcBaLR6FPul1aLyy8ggLDeXvrZ24ubPwz0wcMwxxv2NtL+4HkP88KP4yKwQ/vfjYn4Y7Y273vGzldy1EzpSvJIIUSMQnGFfRTu+7jrSwj/9isqCy8MwMXOJlpkL6as7TX9dLf5TcicsaEobeykq78LPR8/audEuI1AkCT7Or0dVHSJm3e4awoMdn6g9PbTIxtGPRGeG+1Fb1Ix3RCrePkEodjuSJBGUcztgh5jZmPa+Q9iKLzmNrVl/YMR5tdpKvLyihop0xjZpOFH3MlmrH0FRFDqaKmkuP0F/RxPSGcfiIJN9qGL3aMg+/hhWPoi1/CTmja+hzZqLJiKWpHAfQn3d+OhYAxHebkxPdl1RW6ORSQv2pbqrmzh/vxHvYxu0YPBx/plFZsQRkhhxrsijBMbePprOO+47H53ODZvVDIC1rZv+/SfpbrTR76HiG+NPyp3zkLUaFEWh5LUdJN8+B90FfjuSLKHax+8orUoS9ksQNdJ5v2uyuxvyGEd+YzEnKQirXeVQTSfzzv5cVPWy/q1dCkLUCARn2F/Rwcz4ADTXyB+nYPyodhVTeReSJOE2aeI+M6Mx2NlMT3ER7uHhhM1ZOuHxpxWZ8F6Hb8xoWCwK3QMDPLYyjQGzDQ/DxN+e71p2Ezu2byI8PAbfIFdCwPXHabm2ktI3zbjyfJU6+klZevfQ69iAZBrqazn47rMAeIVEEJGSg3/orUNirfSNN0Zd54WWKF1SBiRlYCnYju3EHnSzV+Pt48+tudFUNffyr4PV3D8zzuVci+Kiee3k6VFFjXeEP53lzfhHO39PdG7D/YPq26qxW8wc3rdnWLvezUBW7nQ8yqDr7Z3Ivh54L52KtseOtqSDqIXnfJZkWSb9IdcZqGVZ4gJDDZIEFqsVvQvB4Rsew/GNryFrzv0+WIy9zH3wP0d8XqfJz/5Xo0G1X1qxzuQQL4K89Oyv6DgnahTV+Yd6lRCiRiAABi12jtR28/3Vly8VuuDTwdJoxN5pwm2SP9JlTJhoHeyj4+hBdN7ehMxefNH5PXpDtdye5NrSAGC129lwsgSLuxkPd8ivqWdG7PDq8KoKJRYzZ8s6Vna0c/B0ITbFjs1uR1EVFFUlb9JUFixYyocfv89Nq28d9il9NPy8TCTds8DltcaPioY3SBKJ0xbiGeU6lNrW3Qemkf0r1FHCufXTF6Ha7Vj3fgR2O5q8NRys7eSWyZEjjtFqNNjHOPvw9Pem2Vgzap+zRLcEEuLvTfCc4b42bW3NHN63m5jP3Yx/8DmHWC8PsPSYqfmkCmR52N6uMWiInD/8ZynJcKGqyU5L5cCxo8yf5hxqlpS9gKTs4T+b7W8/S/Hrr4+ZSE9VFSydnQTNmHHm3jL28YqaEYSKJEnMSghkX8V50XIXFAm9mghRIxAAh2u6sNgV5iQJf5rPCsqgDVN5F7pwL9wzL//PrfXAbsLnLx/6hGxsqqavrJTw+c6RLaPhr3W94Xabeshv3ElHRQ0r5jxGgKfjqOmdwuOE+3gT7X/Ol+HmWdG8U9g19Hp+dAUxQTej1WjRarTIkoyKytsHNvPA3DXMz5vHBx+9z+oVa9Dqz1kilMEemjc6LCySqmC2pqFqPRms6Rz/A8kyXFCBe7CkCuOOfDS+3shenmgDRnakbjqxk5CkKSNelzQa9PNvQenrYd/2j4iNi8HLPW7UJc0MD2FndR0L4sYXDTUaXnMiYU+DU3twcBjBwa6jewJSAwhIdU6sV/1xFXabMhShBq59asKDgjl0rIhdhwpwd3NjembWqGuU09IIiEol1M/ZMflCzEYjOg/H75YkSePOEaQysvFlTmIQ//V+EX0mK95uOtBITkLtaiFEjUAA7K9sJ8hLT7KLKr6CawtVVTGXdwPgnhl0xXJjaD08hgRNV+kRzB0d6IP86Th5iMCMaRc9b2V3FWUdx3HXebMkbg0tbidordtKQOrNANyRO5mX9h7kvhlTcdO5fov2cdMRHuAcjrwsawYfHN7GrdOXsnzJcjZt2cCkpCQSUxyRKhG3fW+orzo4gLVwJ/q8RXT2OOeoGRFFgQssBFpfb/Tx0fiucNiSOnecdDlUVRS6mmuIyF7k8vr5yN6+zF2xlprmCj4s3My0mDTCgqJc9s0ICeLvx07h2tZ0/tIVFKMVrY/B5XV7v4WOV4vxXTO+KtYAtpN7sbc0IcnOP6tg2UbblkrCVi4ZapNkXDrVrlm0gK6+Hprb29l7pJC8KSMnewzzD6O+o35cosbgde49TZIkFJsNVXXOKaNaLPRt30Hfli1Y6+uRA7NR7d4XTgfAnMRA7IpKQXUni1NDkTTyhPyEriRC1AgEwIHKTmYlBF4TyaMEI2M3WjBXdOOW7D+spMGVQNJItB/bh23QhFdsPLaBfqy9RgIyJ55ZWFEUDrccomugmRDvaFYk3jp0LSIiB4vFSHnFVpISHZvfvTNyeW77LmJCHMdWeo2GluYmTpyQkCSJ2hojxr5XycsbXt05zD+U5LAu/r1/IzdPW8jq1bdSevIon3zyAcuXrkY+PxLJhcVlXKh2FJuCqawWa10zth4j2O3Ye8/Vgarv7OZI4fFzQ8748gTW5TN74W0jT60omHduBwlkHx/Qagm3WomKyuRIZx1Ha0vxdkunx6IgSdBbnI8hIghJAl1VJ6XVRrQ+HmcS/KlDxyISoG2z0belFtlDizJgA0lCMdmQ3bQogzZkgwa70YrkrkHSj/+oUcUhkKSQaHTpU4dd0wN9G9/C0tNFW6tE3akOUCEgwjkTsSzLBPr6E+jrz8c7d416z4iACPYW7x33Gs/Ss+5d+nbuxHBeBBey7PhSFFAUdNHR6GNjMRcXoc+43eU8sYEehPu6sb+ig8WpoSBL4KJI6dVAiBrBDY+qqpQ297EsfexPPYKrh7m2F9Vsx31y8KciPj1jElBtFgZbmzFWVxGQlYvey2/iEw0Us6Wqg7TgXKaHO4cEmc1G+voasFi6AYeocdfp+OrShSiqiixJfLJ1K6unTsFNVVBVlZiYhykv3+rydunRqcSHxvLBoR0E+fiwMGM2kdGx7N27jXkLztUXkgxuYD2zuY3ik2LRdFNVdS6njeJmwrZxK5GZj6JPisYj4Exm5vOSwemiY1mbEzH0WpZlCg++Rcy81bj5uvYvUm12BjdswG1eHpKXD0pnG9jtoNNhr68lo7MPqyxjj/fE398RoXi6zp+UM0kDldl2qj/OJ2HR+DP0KmePYhRHgj4AW7cJU2kX+rDxWW11GdMgYxqW7e/CBaIGIHTZnTR/+DIduhlkzk/Cy3/sfDNj/X57GDywWC2j9nGFOtCPITOD8Ntvd/g2KSqoCqqiIGm0eEzNxZCcDEDL79/HUu/aUiNJEhkRvpS2GM80THgpVwwhagQ3PG19ZoxmGwmj1HERXD1Um8JgcQf6CC+0MZ9euL25rRlLbw/+GVMx+FxYlXj8THY3ER9/i8trBw++gIeHDykpazAYHJuoydSHm5s3GlnmrF3F22AgLnSUWkoX4K53587ZK6htq+PNvRtIj4ij0yhxdNMnpLtZ4WyI8FlH4gs2UXtHE5Zdb4AkIdlKiYt/Zdj1JvuHeGVnj3h/WRpeKLJo1wvEZK0hyD/CZX9VUTjxydv0e+WS6+GNQatBE3LOf0UT5Hj20QLpZa0GWStjHTSjc3d9vOQ05uwazzPMyG5aFPOlRQidjyTLhN30CM2//wOaeZcnsaeE5FTVfDzIGg2a8HD87rxzXHc5v0r3hSQGe/LRiSbHi2vDSAMIUSMQUNHWDzCsSJ7g2sDWPoi1uR/39ECkT7l0hdVoxD8955IEjYORP8a6uXng5xdPaakjoZ2qKlgsvSQlreHQodMYDAZUVSUszLWDqqIoDPTUIXUew95XA4oj6mjvYBtqgCPE2DsADha3YO11Z/qMaehiYpzKE7hJZQy+d5qz5zVqfzfut38Lyd0LrxPPTPiJL9xvPSKzqS7ZQW9YKu4efoSHDq9sXZj/JimLVmLQ+7B/Xy1z58aOr67TBWIsckE2jTuOEbtqHElyLkBRFForGumob6Wvuh0fe+sZB5gz1pyz/7/gXwVQO0uYFOtasDmGyoQlR1Lz70+Q3H059zvhSg1IKNWVbDjb47xvpk6nJSwkkISoGBfjhqPa7ZgrKlCtVsfRkt0Og4MoHmNnEwawNPsgyRryd+5AURzWHFVRURUFxa4Q0WZkqqmTbe/3k9Lnx8BAP9dChi8hagQ3PJXtRjSyREzA+P7YBVceVVUxl3Uju2uvSGTTeAievoDmPZsInbUQzUWmqHcw8sdYu3IEnS6bzMx7h1k2Dhe+iKqGMn/+shHHRkSkcvToe2grjzJp4Z14xK1E0jginXwK/kRe2pfPdU4Du93OnsKtlHaUMy93CdrziyGGxqAfydfFxfKbBzvp3F7oSLanKsgaDanzHZYbRVHobe0f1j8hcQbx8dOorjtBb08zjdUFZOTcjJvBg+NHPyYqaQ7eng7xmJkTxqEjjcyc5topeDR0nm5OmYPHor2mhaZyR7K90NgI0ubnsEezh/T54/edath1Eu0U5zIT5+PvKxOcm4E2YuSyDHazhZq3tzAtL4fQuTlO1wdNJmqaGzlw5CjRRQFUDA4Ptz//2GrwxAm6P/kAc3/jUJtNqyUpYuTw+PPpG6zExy2ZiA0awDl0PB4vlhCGst8h+g6px7kJ11XPP02EqBHc8FS29RMT4IF+HBWbBVcee58Fc1UPhkQ/NJ5X1hl4NGRZJnT2Iko/+ZjUNbdedJ6aCy01dqsZU3cbls5WvE2RhIU5+4BMyfk877//Z8zmfgwG18eiYWFphIWl0Wg0YggaXibAZHfOE6PRaFgwfTnGASMb9r3HzfPPO4IY7SjDhX+HwcebxCkpQ0dmp7YXDl2TZdlldllJlomPdQgfq9XCiaMfYBvsJiRuBqFB5xITlpV1MGXyxRdG9IwKpKusHv/kkUXRYG8/VYdLsSsKAWFBZC25+Gg2AEnWoCo2cFHDaiKUvvA+CfevwC3Atc3D3c2N1LgEUuMSqOmrIXbRyAkdO6oK0PWZiP7rnxy1tWQZSZbRRY8v7L2u7DnsQaHM+O0LaGQNGq0WjaxxHGHJGrpMNmb+fDt/eWAqvy15kDti77ioZ77cCFEjuOGpbDMKf5prgLOh2pJGwmPyyMnqPq21VBWepq+jB7/ENAoK3mLmzHsnPE9x3QlaS614duzirMlDkjXofP3wCIvGp9e1NUCWZW655Uvs2fNPps64F0lypN63Kyp2RUE58y9A36CzgLGrI1srWtoaSI3OGPH6eNBq3bFaB4dEDZJMR20LDaW1tFrt9Pm5djA9i06nJ3f6HQ4H1fPEoqIoKDYFg358W5Mrv5KQKSlUfXjASdQodoXKQyUMGgfQuxlIyctCq79MolmSUJXRLUTqwACqZfSij25+niMKGhe3HP26LCEZ3HDPuLiftcZqw6q3ERTkOoAiRK/H111PZZvR4eNzjTjWCFEjuOGpbO9nuYh8uqrYukxY6vpwS/K74qHao2G32ynLP4XFaCI2I5GEqZMAMDTDsWMfkJ1985hzdBo7OVq+C0WxEx0yCXf9rYRMc533ZLSNSaPRkTP1Dp56ZQOrM5LRamRkSUIjS8iyhCw5wrsHO+1MumCsh2ZkR9nKxnKWzb6gyvYoC9F5RtJx/JlzfVQVW3s9BJ1nYVIVelq7mLzMkRH3jYIjIz/Y+be9wPp1qqyD+MSxiy2eW/b4w27M/YMM9PQzeblz1t5LRZI0Y4oa2ctrNL/bCTOWn7Bqs19SlOBYEkWSJBKCPals6wfZtcC8GghRI7ihMdvs1HUOEB8knISvBqqiUP3xQYLjE/CafPWEpc1mo/RAEarJRmJOKu4X/D6EhaViMvVSVraL5OT5TuMVReFw+V56+9twN3gzJ3U1pw41011sxWadmI9HT3sVzbVHhzK0fjVrkMLazTx+3zdd9j/ee3zY64OlB9nSr3Lk9P5hn6AlFeI67FgbO+jdVstmdhPgFYSqKqgdpbgVOMK2XSVmO7tVKN2exBDNYHMQ9tRzOW7SFw23OCmKyk837UBOSMKiSuhliX67gkaSkIFUy1aCPRzWuPMrVOt7Bgk06SD4pqG2C9ejKAqqTRlKIucKjwh/usrq8E+ORlEUGk/V0N3aiYfvlbHIShot6lhFJzU6VNs5S43S349iMtHz3nsoZyw45mYzpW/uRLErhE1Nwn+S66MixaaMKZBUq3VYmP2EkcbOEpwQ5EVFmxFCJiYwryRC1AhuaGo7BlBUSAgWx0+fNp2NDbTXVRO7eAp1Hx0iKsIDN//Rjy0uN4qiULb/JJZBMynT0jH4jewsHhc3g5MnN9HUVER4uMNKUdtWxem6QiRJIj1uFuEp8yg72EDBpmqy50fj4zdWNW/njaAk/2Oy5t09LJw2ILKHde9t4vbblo/5TP0WEz9a9JRT+ycFtczKCsVvzlzHnPlBLJpxpuTDzFVjzgvw4Y4dxC5ciPl4Df1Wd3xH6Ofp58vCsBDmREdgUkArO6KmZRxHa9uqQlgcv9J5YDx0lO2n6fjH556nr4OGsmrCghyOuJIkIcky5SfzWfC5R13ePzR3Ekdf20R9bQuSJBGeFEVU5vizBE8YWYsylqiRZVDsDJ48Re/HH6ENCEAyuOGWlo7nnNkAnD107SquwdzZN+JUjhIGo4sI1WJBuhRRo6pj5p9JCPZk86lmgoIVZK4Nn0QhagQ3NOfCuYWo+bRQFDuVhYfwCQomZWYeAAl3zKVy3V4iF03GPXCkrfLyYrfZObJhP1GT4ghLGV+kTUbGcvYfeIOSpnLs2An0jWJxztphTsSJ08Np+qAMt3Edo6kMDnZTXLIOrcYhgPoG2/DwHu5TFOcViMkqs2HjLlatuMBSNN5PyHoNft7njqU6jO2YzSYMhrEju46fLuFUSSXaM2UbNNqRCyO+cbKURD8fpkc6yjh4THCvC0ye7dRm0f2NSTMWDmtrH2jAI8S53tJZpAQfvAO9iUu58HDu8iNptCi20ZPhSVodqtVC7/oNhD799BgTjvEzHUedJdVqcQrdnzBjrCMx2JNekw1fxYbWRZmIq8G1sQqB4CpR2W7E26Al2Gt8yboEl0ZveytNZadJyJ2G7rzNVJZlEm7Po/LdvUTMy8Qj5FJzw4xO8a6j2Cw2MhZMwd1nfIL2RGU9pyob0GoSWZiWSKCv6w1VlmVmrkjk4CcV5N2UzKBxAHPXgCPHh6qC6vhXVVRMXRY0g134+yURH+8QK/mtG9m34QN0BnemL146NG9qchyDg2a27cpn8fyR87CMtA1d+Mn+lnl38tGedaxddN+Yz15WWcftq5ahP7NJarQa7LbhJRZMVht/P17MkpgIJgWP3y/mYvEKCKTqaCHxOa6drbNnz2Lb+ncnLGrMZvOE/UNk7fCjJZcoqiPXksbh9D1aNJ3dbEVjGFmQqKhjHj/ZTWa4jFXrXXE2t5fFbhWiRiC4Fqhs6ych2POaOQ++XlFVldqiY2j1BibNnuuyjyzLJN4+l8p39xCWl4ln6OUVNoqiUF1YhrGzl9CECEKTxs7X0dtvYnN+EXbFTkJEKPcsnTmue0mySr++g80vlqD2NjBlzc1IGtnxeyZJSJKMrJPo8GijrbqGkOBz2XlnLHUcCe3b8IHTvFMmT2J/wTH2Fxxj9nTHGMluHtZnvNuxXmcgLTqT8qoSkuJTR+z3j9c+ZsGSHLQaDR/t2IkkSVh7bKTGnzvO6etr5uUTH/HYtIfwOK8quCuUcVaJPh+7YnZqy1iwhL1v/XNEUQMQGRtHZckpElJHz5/yUVExpjN+LSbTAGHuE7PcShodin10S41qtyFpdPg/9BBt//d/SFodQU/9h0txoyrq+C1wI93PYkO+1ISVY4i72EAPZAnMdhO7G3bzaKbr48BPEyFqBDc0lW1GkUn4CmMyGqk+XkhMZjYePqMfLUmSRMLauVS+u4/QvFS8Qi/9E7/dZqfswEksA2ZiMhNJmDb2J/d9Jyqoa2nH3aBn9Zxs3Ef51HyWiup6ThwvQUVBq9UxNTeLiJVz2PvRekLTXDt8BsbfP+J8inkAU3s9qmJHtdsdFh7FTlaonq2HKuCMqOnsGqT64xexqfC6RzS3xrp2uG7t6+DU9maQZOw2G1lLp5GalEXB8X08v+6PPLDyUTw9nP8W0nJiKCotJ/9IEYvnzKTfXsOh0+9itDYA8dTV5dPZeZro8EljCho4Y2WY4IYtSQ6Lg81kpmHXCRSrjYaKU1i9RxcSk7KnsG39uySkpmO123l1Xz5+ns6CxWy1cf9MhzgatFp54+Bh3jlTkLO7pIjUQNcC++yWLw20EactpP+EwydL4x1I8Jy7hj+DRgtWM/rwcEK//W1a//jHMxXPXQgPVUXSjm5lGU1vWKqrsTW1gPbij58GbAO0D7TQ3ljBkTf+jOXwUVSdBo9Zs5j/2H+h1ekxaDVE+XswgAda6dqQE9fGKgSCq0Rlez+LJo2/po5gYjSVl2Lu72fS7Hnj3sgcwmYOVe/uRZqbhmfIxQkbu81Oye5jKHaFpOlpuI8R+dLS1cfuIyXYFYWclDjmZI2c+RWgp9fIvgNHMJscVoSIqDBuuWmx0ydvV4noxkOk7TRdp93Os+5oQJaQZS0e2nMZe3vc44lbvRiAxILDTE7IcZqrrruXBo2Vh85EKdUeq3AkzJNkPFU3PAy+/5+99w6P4zrPvn8z2xt20XsHARIkAfbeRZGSqF4sybJjO+4tbrEdJ/Fr+/2Sz36/5E1kW45r3C3LVrEqqcbeOwkWEEQheq+L7bsz8/0xaIvdBRYssmLjvi5exM6cOXNmdnbOfZ5yP3hDPixEkppl8xfQO9hPiiOJw3U/R6c18cCqb1BT8xonTjxFcsp8KivfR2NjfFWjFWZmhbjmbONqdxbWXScQRIHMNeXobRbEXWJc5RByi4p56pWdpGVlsXFeKSUpUz9PJp2OD61bNfb5RdcQazdMrRY8GV1v/DBimyKHELTjpC/psccY+NWvSP7whyPbKkqYG9HT66X3XLdasUEAgjKGKSqJN3/sq8gBMFfEFuebDjYvlJ7x0rbtbjJk6Mi3IkgymU8+x+mfPs9ghpVgUTbvGfIzfHmAwW2R1rQ/B2ZJzSz+atHvDjDoCc5aam4B3IMDtNVcJr2wmMySmQdqCoJA4QNrufano6StL8N6nTEaXpeHJTvWxIxf8Af9vH35bfrc/VxslfnXB9+HLsYKWZZlTp69TEdbJwBGk5G1q5eSYJu6vIbe10vt/mdHrgu0eiMFq6bXu9Gn5pG55r6o+4bqnuHcxasossLQwODY9vrBYXZeuMSgz0cwGKTX5SEtI5N0i4lPVI67YPIqwwlbx6UBgnLsmJAUhxo/5PZ1U5CqBneXle0gEPCg18+svIgky2iEqa0QroCb3e3nCMoyOZZEMjMWU7B85mUTAOYsqOBMZzfvWbrouo6/Hi9Qe10t8ENGqYmAgrutBcfSBxmNxNKmpiK53VGP17gCDLV6cXc2gaygS9CTvSEHjX7EYtXvxXOxL+b55SAk3F5J2pf/fuaDH0HqkPp/y+pCVnzjSRbmqMU4q4++Ru/Lv0dzuR7r+QbKJZm0foWO/OmtdO8EZknNLP5qca3XBcxmPt1MuAcH6KitwWx3MGfFmhuKVRIEgcL7V3PthcNotlVgSphZuTyNVkNWSS5X9p+L0FG50n6F082nEQWR2+beRpo9je8ffSmC0HR09XHi5DkUWUEQBcrLS1m5NLKswVRIZpDCjeOxBudf+THt5/eOBAvLKIo8Fjw8Ef7e1ph9Zge6MOj1CALctnU8G+pjKxYjCgLJViuiKHJg56tsqJg37Ri1Gm1csS7bFvwDe6r/E3/IzcLsO6YlNNXnLuCs74H88erUITmEWb5Kx6AfORQgGHBSsOpvkGSJ/e1n6Q94MWm0bM9ZhlGrBvAfb2mNCK719QzTcewyOpuRlPlFEecG6GpsQA6FKEhw8frJ/4N+rJzE+HPZMtxAduomAESEMd0cUVQ1dJqGm6mqO4FG1CAIIoIAAiKiKKIoCvphGTkQRA4FxwLBPSlLSN/+vrCxtJw+wdWXXyX13IWxbXJvD85f/jzidxLq9pJ1393YSmMUrtRqEHWxLTWCVos+JxsxDndgLPj/7St4pRB33/vRsO3zVu9g3gTxxt8ea0L/ifdQkRK7avs7iVlSM4u/WvS5VH98qm028+lG4ezppruxAYsjkZLlq6Y/IE4IokDB/aupf/4Q+feuRG+Kr7Bke20LPdc6cKQkjhEaj9/Drgu78IV8FCYX8sSqJ8KOserNtPT1cPnsVbweLwjgSLRz57YN6G9ETl8frr1TtuFBpIAPUPVWBFFUC0OOBBCPQjN0hljISLJQWFoQsT3dHh6zJMZZi0gURKRpFHEBTjc9h1mfzMLsSI2ZUUo2Sj5kWabj0mUqlWSSI4pTfpK+uuP4nO3kLH6Eqt6rVA91sDlzAWnmSKucqBEJSQoTPS5596xADgRpfOM4NRePoNHpxoihIAgosozRasWalIxhUE+SbGHF8kg9nucvfp8UgxVZURildYoiIysKoLC6YhGagA9ZkZGlEAoK8ggR7XZ24u8eYFnJGkSNVi1NgEDegkUR59EkJJB8x3aKl0emrE9G76UGQlMsCEQtKNLUJPRGFX6X7Ygv6DfVZkBQFPzSrKLwLGbxZ4U7oIplWeKsMzOLSMiKwpFBF621DeQn2imZc/M1QUSthqIH1lD/wmGKH1qHRjf99zXcP4QtMZH8JXMY8gzxatWraEUtdy28C5tpnGTIssyehgtU9zQSkiR+94uf84mPfgqH/daJABrtcda1mpJIxTeBxGsn04gaglGKYI5CkkPsq36S/NS1lKRFn5RDkszuZ55Dq9ORVlxEV209ZQN6HH8bme3WefENTI4cskseAOBkcw8fnrMx5vllWUEzEpvUevwCwV73WKyRNT2F+dunFw88f+CXUbc7jCm0d7024VqDlKWuoDRtenLe2FFLh6mF7LLpq1MbzBYGOzumbQcj2U9TfXuiOHUNUlGMS8vmZmD0/RmchmS9U5h9m8/irxYuv4QogHEKM+4sokMZITPDIZnVDgvr1qzitaNHaejopCjz+issx4JGr6PwnlU0/OkwxQ+vj4iRaTvURtL8ZPQ2Pe37WjH4zdQq7ezZc5DEBDsPL30Yg061yLUM9rHz6nGCI5aJVTnz+OxqNXblT/1v3lJCMyNMMSd1tPnpfmkvAgJ6s5GE5ER0JgOKLOOTPfj0LkRRQ9dAB1fbr+LAgFljBEFAFEX0Vita47jVSytqCcVQxO1zt3Cy/hesLf0UNmNK1DYHO84hnGplye3bkWSZI7/4NZXGPNKe2EZA6qP2rX8nNe22MZVka0oJtqxSnM6LdHW9itafgSyvjq3doihoRtKTtRotWE3kbJyZuyOWK/S2knCdnn53G9XdRyhlelIjKxJinC7WYby81LGTKweaAOgc7uCj27+EThvpIlKDy6d4AEZIS8jpR3aHQBwpYDlC/ASDbfqyDTcJFoMGLwqBWUvNLGbx54XHH8Ji0M5q1MwAE8nMKocFxwSryY7Vq3n6jTdJc9ixmqYrDzAzyLJM1+kaECDk9aO3jPdf/dtqsjfm0HGgDVErYFpiY2/tYcx6Mx9Y9jf0eJz8+tw+/FIAAUg223n/4tsw6yLdjlarjd7+QVKSHDd1/NcFJfbKN7ugjPxtmwHwON0MdPYR8gcQRJHzl2tZuLwQBZmixQsZ9g7T/OpvmFO+QRUAlCUkrxcpMJ4OLfU2I2xeD1nh56nu2EPX0CW2LfjnmITD3dPE+T+8ze1b7yIxWQ2DXV+yHPOyUnTJCehIoGzlP9Jbd5jsJfePHdfc/HMQNMyZ8w/YPX0803AAs1YX1T7hGoSVqC6sjGXz6DpTQ+eJajJWTB8vNIp43TFByYdOjC8WJRQIIAWnEd0bgcFgYs2czWxcfBcATtcAf9j/M8y6yLikIecQm8q2EVOpSQuKJ4TvUh+CSavynwmkQjS/cxmdVoMWL8ySmlnM4s8Ntz+E1TD7E4gHiqJwdNCNMyRFkJmJeGTrFp55402euOOOKRVT44UsyzQdOIW3b5CkQAbFj0ZaabLWZjFYO0DRfcX87vBzGOr1ZJosBKUg+0+9ydsNbv7pobuxGaYnWhvXLeP1tw5y744tNzz2UYQCJo4+tZusUgVBiNQXmbxt7HNLCAJvozXo0JlN6KxWZI0BU4IFeYKarznBgnmCKvKlvjbmTkrrPpF/ivzbb485xvaGC7j6u8Y+y7LM4bqfYjdls2nuZ6e8vr63f8vHPvH36I0TSKIChrxxvRxDQipSyKO27z9MX99+MjMexGZTRf/SzMm8t2RTzHN09+4P+5y+pIz2wxfpPF5NxspwYjPc1EXziXPozOHxVzpbfL91T9CJWR9fULreYJpWT2asrc5AYIJAX4I1kffd9qmobRub65CU2DFOoihivzN2LStpoB5BjBFkfJNhMWjpUxQCob8A99N3vvMdvva1r/G5z32OJ598EoCf/OQnPP3005w5c4bh4WEGBgZwOBxT9vPNb36Tb33rW2HbysrKuHLlythnn8/Hl770JZ555hn8fj/bt2/nv/7rv0hP//NV9p3F/2y4/BKWWVIzJRRF4diQm6GgxEqHhcRp4ll0Gi1bV67kTwcP8dDGyGrW8UKWZRr3n8Q34CRv1WKsWSmEhvw4d17DvqMozLpmL7Qj+UO0HWlnR8U23nzxZVY8vBWTSV0By+76uAgNgF6vQ76JsQGyLBOQU1j48CqajrQz995iNNp4yd5WFFlG8vkIDg8TdDk5t7eb+Yu0JM0pCGt5vOo8PX0DiKJId+dARKZQyO+b8kyJGflcO/4WAy11hFxnkFYuojxzB3bBNqWkf+fbPydl03vCCQ2gRNHEc8tXaWj4LlZrOaVz/jG+WzAFstYuoO9KE9deOYqg1YxZeDzdQ2SvXoijNNzs1HDoR3ScfzWyo0n1BnqHaqgxDNI0eBmRcMKioKDXGLjQfYqy5IUMeYbIFOfENV6NqJmSqEyGciMxMcqNKxLHC4tBqwYKvzsMNddPak6ePMmPf/xjKioqwrZ7PB7uuOMO7rjjDr42XdGuCZg/fz5vv/32+MAmVRf9whe+wGuvvcazzz6L3W7nM5/5DA8++CCHD8cn+DSLWUyGe8T9NItIjJKZwWCIlQ4rSXEE544iMzmZ4pxsdp86xW3Lls3ovLIkcW3vCfzOYfJXL8WSOZ4Jo7UbMK/IxPlmE/btBWHHJc1NputkFxee3kNBQhp9J+vI2VDB9SAkSbz06m4ArFYLt22KHlshyzKejnZcdbV4WlrxB8yIackR7syEjHSsGRZKtuVz+YU65u4oQGeJz70hiCJasxmt2YwpPR1bjZa0ZZEr9KFhF7evW4NBF71fjX7qDD+TOYG1j38RAFfrJQbr9+Hr2ElP73mKtn4Tgz0yTmq4/gyiwYQ5M3JSF6IMIy15O2ZHPqakrMid14nkufkkzw0XmPPVDUQNoi1a94m4+jRcyaAiMw+DPXr8UJeznq2lf6uey91Hc92euPoVRQ1KnCUitDodvoA3rrbRIPt8+C5emL7hTYBFr0FUZALvDkPN9ZEal8vFE088wU9/+lP+5V/+JWzf5z//eQD27ds3s4FotWRkRA8wHBoa4r//+795+umn2bJFNQv/4he/YN68eRw7doxVq25eCuks/nrgCoSwGm5twbf/aVAUhRNDbgaCEisclhmRmYlYVFzM3ouXOF9bS+Wc6VeysizTuOckPucQ+etXYEl1RG2nTzMTyrbi3N9Cwsbw0gPpy9PxdKZTeM9qGl87PrY9KclMT8cwqZnxBQA//MB2pJBMW5eLw7//PXWNl8f2jRKW0fgMQ2oqtpISUletYfD5t0m+e1PMfg1WPeUPllD9pzqKt+ZhSowvPX0iPM7o8RvDgeExfZWJ8A714Qt4kKcptijLMoGBNnTWZKw587HmzAdgqP4ovu66CFIj+30MHN9J1gNfwt3bC6j3JuT3E3S7aW1rRNO9AEtSAn6Xl4AiICXOo7HlEMlGPZIioygKkqKgICPJMiFF1ezJsqRi1Y+70zo7rzDQ14l0sQkU1YIhj1UIHwmoVVA1f2QFuddPSpE63uamQRqaBpFkhQVlKaRPegaae1xcah8au3MCMNwT4N782Ja9pq4hTlzdDQjIUoiuuiHOtR+Z8v4CBOUgTs0+Dlztnbat1+shdSiBDk/LeGxVjAqWshJAkj3oxAQQRIaHPfjnKEg7d9HzxrihQBYEQEASNYREDYowftWKMPJv5G+NJkSCfhBFBFGrB42g/hMFNUhZK4YlZ1lDPoalS9Ne1zuB63pjffrTn2bHjh1s3bo1gtRcL2pra8nKysJoNLJ69Wq+/e1vk5en+gRPnz5NMBhk69YJFWvnziUvL4+jR49GJTV+vx+/f1y22el03pRxzuIvB25/aDadewQTycxyu4Xkm3BfNi+Yz7N792EymynJzIzpwmg9eh5nZzepZcUUTVEwMtTnxX2yE8Giw7o2ejFKY5qdaztPjLzAVZTPTeXkyVY2jkxoXl+I1k4XackmLlzuZWAw0jUjCgIpKSbmGx0U/c0jNyU+CECjFSl/qIQrLzWQtzoTa8bMhB+NFi3tdYM40syYE8bNIWaNBW0UTZrTv/su9vmLKVxx25T9ejqr6Tj3SywJpchSCBRpJLhHJnXxoxHt21/6PhnbP8q5P72IIyN9RHROzVLTm0wUPbKVnuZu2q40oTcaecHjZkNWLv7EbPqH2lSJO0FAI4hoBHHsbxGB11vP8HDReFmChoZTzFm0Gl3IiiCoGT7iSByLoozUkRJULRtBFBns6MUpe7EC1XV9bFqbjygK7DvYyO2TSM3l9iHurAx/ll5qbEQ7hbuya2iQe5ZNuJ/x1ThFlmVeOyOxofTmxWtJUoCaq18nOWkD6emqIJ7ZG+Tbr76NbsVDrClOGQvSUhQFJBk5FILguFDg2D5FVgOOZRkl1I1Otw9RSMJqyECRJZBkCEkokowSCqkp4yPZVp7lQwTL2m/add0IZvzmeuaZZzhz5gwnT568aYNYuXIlv/zlLykrK6Ojo4NvfetbrF+/nosXL2Kz2ejs7ESv10fE5qSnp9PZ2Rm1z29/+9sRcTqzmMVEuP0hEhNjKKJ2XYahVrBlQOpciJJ2+ZeAoKxwyqnGzCyzW0i5ySSvv3gee+tqOXHhAoVZWawsL49wLettFkwBO6nl0VVhRzF8pB3Lsgz0mdGJwM9ONZJlsONOtdDjD5F3rg2tOt9x3uvjyG/PsyDVil6nwWrVcehgC8mpZu69I3aNp2tXHcj+AGIcon+iTofs9U3bVhRFyh8ooebVBtLKk0gsckzb9ygqNufQ0eDk1M5GNjw2rtJbWpjPG4cO09szyIM7tmIxqpOyPicX70A33uTI2MNr52sYaO1AbzGjl/twZG4gbXFk+YaW3lbOnHwbRUHViglJONp1NL95gv7uIZa99/GIYwBsmZljf2deuMLK0jRg+qyceld32Gej0UJq+tR1uCbCO2yirrabjDIZETAY1eft8LAH56lmtKKAXiMiAM3DPlzeIFbTuCaQAlOS2EHv9QWPqH3e3MATjUaPXpc8RmgA7CYdwtL3U5V6jM997JOkWGcuLnq17TItNbsxZfw/zC2PHWA+in//wweYk9w9bbt3AjN6g7W0tPC5z32Ot956C6Nx5qbTWLjzznHhpIqKClauXEl+fj5//OMf+XCUYl/x4Gtf+xpf/OIXxz47nU5yc6NXyp3FXyfUQOEY7idnO5Rug+FOaDoMsqr5MOjy028vJ9VhxeZIiV5h910MWVGodvvo8KvuCJ0gsMhmwn6dbqbp8MHsVJ4MyXy8KJNrPd28cvQY13p7WW3Ws2zzVnR6PWkLSjj1sz9iz80iqSh2fR95yI82NfYKushkoCDJQlFmwpjk/+jktL0SDl7qpjDDSk6ySmTXrohu7ZmIlFUVdB86T9bt0y/HLWsWM3zgDPbta6ZtC1B2dxENe1oIuoOkLYxPkM9o1VNYkUJf63DY9uLcPIpz8zhw6iTBYBBGSM2KEYn743/6EYULwsfVfqmGhXdsxDM0THtXALdZGKMc9e01XGo6SONQGsMBG/+wYzOaiZagVdsAeGHfqbjGfb0hq21tF7AlRI9tiYUhUeSKJ0j/nmv4/OOBuQGHng3laaSap567pJBryv0O0/UH4Pa0tVAtvjottVHkENmFK3AkZyHLMq2tJwkEXYhi5O80JCXQ2fUqGel3j217YvUC/uHaEToGfddFakZdmXKcafDOUBZGIb5n4VZjRm+y06dP093dzZIl43VUJEniwIEDPPXUU/j9/vAH/zrhcDgoLS2lrq4OgIyMDAKBAIODg2HWmq6urphxOAaDAYNhVv5+FrHhCcQRKGzLUP+NoHf/sxQszKPjre9jm7MwcuFlz4HkEtC8e9xaoX4fwW4Pf/C7yc2xM89iZL715urITMZAIMSv2nsJKjDfqk4ihalptHkCJGTnUpGaxNFdr6IzGBDqhzAnJWDPm1q0L2F7AcNvN2O/oyDq/i3zM9l5rg2TQUtmUqQFrrIokWPVPWOkJh7YCjLpOXA6rrb67FSG95+Iu2+Aoi25tBxtp+1EJ9krbly0UBCFqCJ60bSYRFFDQpKdhCQ7uhQThy48z2BVPwAe3wCLS27n3tR89td0893Xavj83XMjLBiKwpTZUdd1DRP+7uqqY8mSB+I+tqG9l52n69hSUUB5fvj9/Ob6Ofzb8WsIqMGtowlCzYNevrK6iHSLOl8YdQm8NKHiuAJ4fT7mDzWiEaClBf7Yc2Tspx+N4uiDRixWx0gH45lICaGVzFsyvbZOV2sTly/+DltSLm53OwUF20hIyEaJkj11peYC6Wnh16p6AwXOtQwQlGUUBVr6PRyoucYnN1cyJ33q+DKNqM7jcpzZWhZ9AEURx92Bf0bM6M172223ceFCeET1hz70IebOnctXv/rVm0JoQA1Erq+v5/3vfz8AS5cuRafTsXv3bh566CEAampqaG5uZvXq6etozGIW0eD2h7DGcrfE+F0qghrUrrEkQ8nWSTsVGGrhxIs/IrFi+9hmrVZLamoqVus7Uw1ccgcJtg6PZYBoEw0YyxJJPe9lc6L1pk5A0fCbtl6GQxL3pjkomrQqrhkY4sOL1CDUDfc9yPDQIEf6X6Zi2zqu7jygxkyM/BudDMbq+WgEtAEdgz/twLEqD/vCSEvLXYuyeeFUM1v06TgmrVADIRlJVuho7qauukm9D2L4Fz3x0+ikpe/tZGrH2MQOZv5Cz12dRdf5Hhr3tVCwKT5rcqz1s0bUIF9HKnCyLZn71nwsYntTq5PemkGWJifwh+druGdHCVbzuKsmFPBHHHNzMbNr6RgY5o4lxZRkR1q+9BqRf1oT6caqHfDw64ttIy4pgQFfKt9YVxLW5tcHDjF/7QfRaDTMXzH9OJp2nSB/S+RT0/RmU1zXcfF4N5sf+FJcv1WzKQ+rNbzIqtWoRVZEnjn0HKBWCRcEhXRzD/tqsqYlNfJIWIdy+etcuPgbQCB3ySdwlK6P2r7AWkW7b9GfndDADEmNzWZjwYLwm2exWEhOTh7b3tnZSWdn55iV5cKFC9hsNvLy8khKUtUmb7vtNh544AE+85nPAPD3f//33HPPPeTn59Pe3s43vvENNBoNjz+u+mrtdjsf/vCH+eIXv0hSUhIJCQl89rOfZfXq1bOZT7O4brimSul2xlejJQyCAI48klLTKZmQ8RMMBunp6aGjo0MttKcoiKJIenr6TSE6ckAi0DKMEhxxuZi1GEoSETThL5gFWXYuNA1SWZh0w+eMBUVRaPYF+KfiyLTd3Q1NrM4Kj+2w2R0YTGYMdivz7p06gFIOSfgGXfgGhhhq6KCvoZmE0gxS5oWnON+/JIenjzfxnmV56HXjC60UmwGfZ5BzV4e5c3t87w0pFKK2Nn7rizTow7k7fOIKDfhJ2JaPNiG25Ti9MpX+ukHq3mgExsv2TOJchC5XobMG0coWav7QMrJ13GYQbK2Fx5OAyKKQ14PzF3u4544i9HotHq+f/3x6JxkLk/jQsrWIoohWr7+lJDk0TdbWZHgC8oxF4OYkmvnyynEC8r1TkcRDazLNaNEei4rFM+cHgyF0JjHu+ypJITSa8Ji/whQLP/nIJ/AExi0tqTYDH/vp9+Mag9ATQNshIKUO0Oc/hWSX8J/oYkHyL5CDPqre/gA+aw+yTr3SFJOC92qcNc1uMW66jfxHP/pRWIDuhg2qANcvfvELPvjBDwJQX19Pb+94WltrayuPP/44fX19pKamsm7dOo4dO0Zq6vhN+s///E9EUeShhx4KE9+bxSyuByFJxheUYysK2zKjbr6edYhOpyMrK3ySlySJrq4uOjrGyZPVasXhcGA0Gqdc8SiSTKDNhexR3QyCTkSfa0PUT/3SzU+zcvFcGzOrmDMz/La9jwfSHVH3XXO6uK0oXFPk6rkzJGdmodFGfg8Bn5/qQ+fwuVUlWlmSWLxtDUlz8kiao2ZG9lTV0/DyUfQOM1nrFtI54OFU0yAZCcaxAogT8cCG+Txz8mzc19P0xhtk339/XG2lYTe6ZAsJt4Vfo/tsN7I3BFOQGoCkEgdJJY4p2wwpbZiXlqNLjS6gLx1xIhLpfrqeis2yLBPwS+j1WmRZ5tXde/nc41sZDPr54bH9fHrNZjwIPLL3NGtsepL0WgwakYfnlqDVaPCHQrxU04BfkujxzdyioygKg4PD9PY24BxuQRlJbVYUWU3fVqSRbWr2jqLI+Ab6qfXa6Rs2qcRipNK2ggw9LSSK0wcq5/R0wrJPh20TUX+zcRObG6iQLQjCTQmdyI3igo0X2qx80v5Oh/P/+U9WPnIH+5+by1DWNQ6f36Q2yAJjp40k/XJQBAbfPIzPF7OowzuKGyY1k/VovvnNb/LNb35zymMaGxvDPj/zzDPTnsdoNPKDH/yAH/zgBzMc4SxmEQn3yAompqXmFltRNRpNBNEZHh6mr68Pn88XMQkFAgFSAzZsJiuCKKDLtqLJm6qKc3QoinLTYyAmosUX4P3ZkYGdp9o6WJgS/tKrOnwGt6uT1dvvGtvW39HL1eNVKLKMRqdl7prFJCTbAQiFQhz6/U42vf/esfapFcWkVhTj6uhj564THDNq+NKyeSTao1vAOp3D2OLIZBrF5b4BEk+fR1HOYc9Io2jeXCyW6JPF0GsHsEfRqRF1IgRvjjKZoNGoqbWx9gsCshy/au1U2H2ghXWrVRffi2/t5rb1K7GaLVixoBVFLnS08P7Ny7gvEOSze15naWEynqDC+w53kq3Ts9Bi54E5RdhNxrHA7ZlAEAS2bv1bXnvtn1iz9mOIgoggiICARqMFBARBgyCMWjUECgoE0Ki/i9G0cVEQEASRgUtPkVrx0LTnlU6/SFtn7fgGRSE43M7wVR+CKCKIWtDnkJAffeEzE3gDIbxBiSTLOIlRPa8zIEXXDuCq/mHYQkgN9B3R8BFEREGHgsKnDZ30D5bCdA7VMT0m9XurmP8DhtvOqjE2soSoM5Hznk+rGjbAwe+spT37z+96gtnaT7P4K8VYnEas36GnP8Zx6v+ib/Cmj8lms2GzRfd1B4NBag9fIm3xjdVzWZBl58jVHtbNvfnlRc463Th00Vey53v6x2JpgoEQR96oor/uKg984bGxNrIsU/X2EdY/vgNNlHo6frcPoy06WbFmJrMstZs5bf2cbOgjKAyhEVQ3QIbNyII8Bzqthv1X63h4SXy2ql63B2XxEtYuLEeWZXq6url47AQhnz8sINJkTyB/binysA+N1YTf46W9s4WB7h4UWUbu9JMTSseSYh8PGp34P0TfNooJD2mwR0dwzzlEvY7EhyPLUDgy8vnpK0dIqgzXDClskTj6zGth26YS5OvsdhMMSmSkWXh13z6WL1pAsn2clH581UZevHiGQ9fqAViRYOXTZWp2lSzLXBjq4HB3C/954PeYUzIxWhOoTMpjfXLWtITapNGHBeoOZeeTnBS7zlG8iLeadum8zfT0No99FgSBjcUFiD4PCjKh2irczg76LqQhaqJfizQYYOjNRvQ5Vkzl0bO3vrOvjjmJZno9ATSiwN8szUGv1SCK4oxIjbX+HIbQOSgbSetWFBRBGX+OFAlFkQh1XmG1q4NzpqNAZOr+KGRJIujzjFy7en2J824jcV5sraMQ8PjV3VTPnUf2k/9Jwh13xD3+m41ZUjOLv0qMWmjc/uim+lBbH9p5QQRddGuIbHTcyuFFQBdjHDNF0B/ipcZe1pSm3nRrzeIEC7t6hujwB8g0jPv4ZVkmOBIk0nqti6vnWkgwBqh8PFz/4vKBsyzYvCIqoQE4+/ohVj20NWK7t99J257zJFcWULZiHmWT9rf1unjjYicaQQ2i1sR53Xuu1HJ/pRorKIoi6ZkZpGdGZigN9PVz5PARkpBx7zpBbeN58raspGLZSrRaLY0NtYR0GhJyb0aBQbWPgecPRt2bWbiApWk93LFmU/iOyZ+ngCzL7DvQwnseVHVwTEYDrZ1d5KaHWybuX7Ak2uGIokhlYjYL7Zns37eTRK0J97U6fmXo5dQCDSAgCpBr1HN3qgPjJGKwLXf52N91A3W4zTMTKIyJKFlh0WAx27HkLYy5P6iYSDBb0eaVxGwDIPtCuE52EivPMM9m4KFK1Vrr8gf59elWbDoNiSYddW43Q3XXYvYtCgKDvgBBWWYgYQWfKdkMW78x5XiqnvpbigO7Kdjyoaj7m2rO0f/S15jnPkm+R6aOdMyu+AKbzzzxeTTnT7P9+Es35Hq7GZglNbP4q0Tw/DkqBpuQ600EszSIViuixaKa92WFYOJGlKO7UEZehCfrr2LLysFkUn8yusQc2vb+AlCwzVlNQs54mqYlMY2uy0dJL3/3ZebNyUtkXa+LYEjGoL/5LqivFmbwT3Vt/EtJNtX99Zzt6qHPY2FFWjK7fnucvLmpbHlgGUdfeBtHRngwqy3ZzmDXACk5kcTBM+zBaDFHCPcF3F7adp+j6KF1MUladoqV7BQrnY3tON3xxxnIsoQ+jgrMiclJeG0WVt+r6oQcefU4t5eN151q94foOT1ER+0kS8GEnGCjRU/Fyul1c94JvLKrge23F4zdT4v5+tL/RVHEkp7NottUa9zel9/kC/npY/1Wu7z8tLWHwAjh1YqwIsHCSrsFURQZ9HRztfcMd815z024KkC61ZlaUTBpfvd1eei/0s8en49M27gb1GrQ8ZGV+QRCEoOeIBXZC8cMdArhejGKon5ONhsx6/Xs2XMWjp6fltQgB9ETpLerid4WtVi03mTDYHHQdWEPCy58B42YxLmST2Hz+RB5hXxTfPesMbME05AXjr+Evjh+ocRbgVlSM4u/SshuD31pOTj1FmSPh2BXF7LbA4qM1+XkYO9F7HMWYtTZWFi6mJWrdtBy6RqeYQ8X95xBFByklywkOTeVngu7ab16GEEQMWXNw549h76Gm1tMTgrenDgJgHWFKRys7WH1nFTeuNCOThS5Z3Fs0buZQCOKvDdZ4RuHfsQyY4At+XeRk66u+A9X9zF/merLlwKRq+b8hSUcff5tSpZG6nhcPniaBZvCi2PKIYmm105Q9ODauKxOGQVZuLoGuPD2KYqXzcXsiJ15dvRaM/Oy4ouZkGU5LJ5B8Qd55a1fkpCQxMrFt6OYNKSvcLAiP7YL5cTu2KvymeJGsmpPnuskNy+BRPv4hHumqpqPPPrwDY9roc0c9j3Ns5qYN0EvKSDLHOgf5rvN3cgK2Ide4AMLPnLD5x2FbzAN377dcbdXfEEEow6pz4kmbTxjUOpqQ780jrxukQirRen75nHkSAuFGWaWFkVmqOm1GtISrkMaJXlqqxGAojWRgJuE1yLjivKBk45tlH/kp+TYHATrzlP3f19BjNPq4vaHyJTUciPaxD9vwPAsqZnFXy1Eq5V+kx1DSfgLwddeT9k1ifmr7sLtcXGx9gzDXlVlVGPRUJZXTnpKFp01LVzc0wIkgpCINcGKSePi6oEXcJRvvqljrTl0npKV5Telr+REE5buYV598zxlOomrZg1w46RGlmUOtOxBK+r4ROEyAkH3GKEBVRhOCklotBpSC7I599YxKm5bETbRSVJ08hb0BzBaw60szW+eInfbkqiZU7FQsnI+siRTe+wSfo+PtIJM0ooj4zyaevt4bPniuPo8dPESS+aNE7EnHlKVzA+f3sWFK8cwJOXjuuV6LuO4Xuu/FJJpanLy8H2lYdvvv+M23jykxrjk5WRQMWfuDMYyPhjtNMRTL4psTbGzNUUNDB8O/A2v1z/PxoIdJBgS4j5nLIgpGRgrp66BFQ1qnSNpLM/ee3UAWYjH4hf9ehcuSudc08CMxxELgjUN8qcvGjv/ie9wufpBTAnJ6PQqmfR7XfjdgzgyClleMMFxOxpsHme2l8sfwiKOxCneJFf59WKW1MzirxYWvTZqTI3P7cRgVl+iFrOVlZXjAZmhUIiahoucrjnG1ort9F+qJqkwj4zFZbj7hmmr8TAYnEP6Dcbc1B2/TMDjI7M0D2tSAjKgn0bePR4MtvfTUt2AFdhcnkVaURb1Z85fd3/97jauDNTjCQ4jyxJLM9eSbFZXoJcuPc/AQBOJiWqK85yFuVSfvcaC5SWUrVpId1MnR557C1uSg4LKUvrburElOaKex56aRG9rNyk5akquu7MPjVGH0RFf5e2JEDUiZWvVmInu+jaq958DRmr+CCLaTAdGffwv5u6+XjZURMZg9Pd3sWHVvbS4PfS4ppbenzFuwBojyzIBWSEgy+o8rUBIUdj3eh2Ll6XQNzSIosjIioIiKyiyTGV5GbIsU9/Yym/OvooiK0ghhVBARsz2kj83lbLEMrKt2YiiSNUL/41PDGFIcFz3OG16K3fNeQ97Gndh0JpZm7NxTOn2uhCjyvW0h2m1TJwqBX2c6dahUKTQEBCSFLSam5gpJGpAml7Px2ZPonzVrQngdftDmAU1U0rQ/3nr5M2Smln81UFRFKShISyGRFxRSI3f60Jvih6cqNVqmV+6iK6BDnxDLlJLCjAl2al/47DqhgD0HjdycDjq8ZPHMVmPxu/2cX73SQoXziE5L42WqnqO7TrI7X9zd4xepofP5aXhVA2SFCIh2cH8zUsmWSau7wX7Rs0vMFnnUZG6CEeUlXRO7hq6uy4SDHpISSkjNTOR6tONY/vT8jNIy89gsLOflksNaA06KmNU6S5dsYBjL+xm3WPqS7nzyBUK77/xmKW04mzSisdjWaSgRGNNC4keK0eONpNXlkLOFHofgWAopnbJskVbOHxyJ8NOH7ahck60jbiYRjJtJ/6dnD1DcjaFNSY9I5HXn9/LLpORguxsNbl30nOmEwQ0IogICAL4ZT/XDGdI6yqjrUuNhxEEAVEUEUf+FwSBpEQbqakODHoDBp0Oi8mEzqCh1d3Kqa5T7Ly2E4DLLg93WhahDCgkXG6gqLyIYZ+f5pY2MtJT0cc58WlEDbcX3U2/b5Ddja8hIFKeuoRsW6S447sJoQEfw/tbsW8riNjX0D1MtuP6NWQiMVKe4Cb2OIYZuJ/GSM2spWYWs7g16Os7QPjbf1x7waurYb2vD30HtO4/zPjELjA0WEfi4ken7Huwpp5rV7xkVc7HXpCFvWD8JXvlxEt0D16k6egp1qx+HwCXTzcgagUKS7MxmPQM9w5R9dZJ7BnjvnqdXsdw/xCLt61EZ1Rf+vmL5xAMBNHOwHIAagr4yQuH6Bvux9cT4IF7HkZriN6H4eQJDk+odu8bGuK2xx+JaOeXQrzSVk2rVyVsDk8/HyyLrcxrNNhwDjehKBKdnWepqHgvBXMzOHekhkVrxk3djowkHBPuQzRo9TqySgs5/OybZGWmkVCccUu0djQ6DcULCihGJZ1VZzroPdVJxdaCqOfbfeYMGxZFd1NlpuaRueV9ePud9F9uInvdjaclx4PK1RX8ac9BdhhFtlXGl3H1lX3fZanFQq/nUsS+kBxi29IHcNgiY0Cq2tt57fRFEkw6wEGCIYO8xET8Re3csW4zsizz1ov7KSov4u41y6lvbuXQ83/AkiZjW7h87Fc38VfaRxpZyRnMT7LiMKrPbJLRwbaie5FlmTNdpznXeYh1uduxG+0zvDs3DtkziOtQPdokY1RyqYQkgr0adBkw9PoEZXIFhgT4jcXANqPExeqJu5SxIpIg09jeSlLJ9HEyMtAYdFDc8Ts42IUgaMe0fEBAEDUIiDCyvTkwRHfQDoL6fhEEAZ1Gj82UjEbUIgoaFBRobsQGXHz2BZytDSopFlRiywjBVdTCXyiKwrKrXWQ2taqDmoE7+FZgltTM4i8ayckbwz7LUggUGXH7Jq72nmbYF+JTG8OtA70tryFYpl5J6rMTWHLbg1H36Qw6svOWUnvtpHpOWaanp5fS8kLOn6gmGAgR7HNRkFiMRtZgL3FgzbUS9AYIePxjhGYU8cbSyLLMhZqzdA92ohFFlpWvRhbhZO3JmIQGoNSRQOld28Y+H975ZtR2X6vawydLFvPwSLrrgavnAPC0X6G/djcBdw+56z+DzqbqchgMVpYuUQM9GxsP0dh4kIKS9Qz0DNN4tZ2C0pmttouWlJFTXsCVZ85T+MFbn2EhCAKVS7Nof6mWo8dasDlMVJSHK9J6vB6SE6YpDqjVoMSIFYoHSihE8OI5pP4hNQhYANE3zPDvv4fiHsL2xBcRJlgWf/PmXu5duZTEREdc/bf297PGvon7F0fX77nUcJrmrvqopKbfN8TtZSUsy1EDwHvdwzQO9PBwhUr0JhJBq81K5fy56M+ewJQYoGDhxoj+FEXhP59+ntSN6TzX0I1rJEBeYaI9MZ2QnELjuTdYYDGzrvzOm1Z3MBr6f78HYcLvR3Z6cexYgi5zZtXDARKBJ+NoV/3bXzNv+dK4+nztwsepy9Ug+vaioNanA0AAJUrU+BsDOva7pl4kGQIK/5EAqRc7MVW/jjgqp6So34OogDyiA6UI8EEFNAp0JMK8/0kFLWcxi/9p6OvbP/b38N69aNMy1FWGHGLJYCf97gCt+0+NtBABmZC3hmZ/AfWFjRTlV5Jry0Urxv9TkVHNsKPKrmePVlOxbC6JKQlk5oXXRwn5QgzUDDBwZVzsr58BrIleEsuzEa3TB0g2NtdR21YDwPzCCirnjb8MA6EA3QPdvHjsRXx+H49tfCxWN+OIYXIusiQwxzY+frGuhdb272Nw5JO19qMoikz7oR+Tu/lzEccWFKzj0qXn6em5SuXqUg7tPEdSagIJiTOrfTXc6CZ7WdzlJW8KLBY9a9fk09nr5tCRJnILHORnzcBCoBFRpPijdxVZJtRQS6ipBQQBQQTd3HnoF41nf41GVyk+D8O/+w9Ma+9AN3cZTW+8TmbAz+5zZ9HrdGxeuhSbaeqU7Deu1PKhVctj7tfrjAwO90bfJ2oJhMYJW4rFRoolnORFLbDpi+2edYghNuUksWnKUQMUMugaYPe5F9BoNFhNiSRZM0i1Z5Bgtt80S56g15H4YPRCjrcKygwKeQomB3mFj1JS/OXofckyKCEUKcCuA4tYn7mc/7vkqTG1YH9gGJerE1mWkOXQSEFZDcb7EkhNmz/t+WVZoegfd/LAxjqODvyeY3GP/NZgltTM4i8WycnhiquGdBHr+vGXU+vQJY7U9/KVjeErxhzUuJrf7fr/cJkFdjftRlLUF/eo2dXS6KJxl1roUBAFDMk2zKkOzBlJIMsIgoa0tCJOnXqOvl4XSclDJCSuGJF3H4fWqCW1MhUqx8mCIst0v/jfhKR8FJ9r3CwtCIg5pWhLVMvNcFsN52ve5kygkZL8Iu6a98mIe6DX6nli8xMAvHjsxbB9siTRe/UEcmdjXPczpIRL3ev8+eTc9YmwbYKopXX/D0auI4SjcB22ApVkzZ//EKfP/BSrNZ05q4r48XOnSM3IwGzQjcVTykrU2Mqx7Y5uL5ZkE8mCQun8d6aAniAKyCGJjBQLGSkWTpxpJxiUCYouUmKUTAg/XkSZpnK21NVB8PLlsXba/FyMm7cgTDMxC0YzCR/+Zzy7fkPr7teRMuey7UE1/drj9/OzP/6BzzzxvpgTfFVzC6XJSVMSAK1Gy7mmkzT1NiBOityo63dzW0Vk8Onvn/4TFrtK/LwttVz+bSuMuFikUICgEt2yIggCCcb4rS4OayLblj6CLMs4PUP0DHVS03YOj885uWN8HTW0u2yAgC3RTlpGFgn2xOnJz7tD/f+6oT5DegSNnqAiggCGCW47oykRu/36hSHdo/IMYhCD5sZrVt0oZknNLP5qYTVocfujuwUMJit5lhy2ltwXdf9p9yEK1qhaFVIohKdrAE/3AANXW5E7FbRFOvLylpCXtwSWgbO/k5rzryNLfrLylpOUHvsl4m65hmIwo1+9LWy7Ikl4X/gPuly1oChYk0tYt+XTrAN2Vf9o+gtWoP9aFb2NqjNfEARSixaQkxGeVRXy+Tj82huULKkMU9DVTsoeiVZ0M2fjeCHAgSt7GWo6NkZqAHRJq/nVWy+QkbKCL3xoPdo4xO0m48RbDeQWO2Z83PXCUGzHVz2AeaHqblixJIuaa/3UHDzHmkWRmjqTodFp1bTgCZCdQwSqzqMM9UDPFTQVt2NYv3Ek02bmMN/5fpIbztN7+fjYtktNTSxbsgxRFGMWY/zNxSssTk3i6ZOnARjw+tlUlM/8nPHg6cKsMj6aNVmnWcXZS/XoguqYf/F8NbYEPbICoc4+MiwjeiVFZYzmfqUX5ZC/sIS6F5+KeS3dg27qrlygZG5sVd/JEEURhzURhzURiP6d/Pvw77lzzXokSaK/v4eO1hbqq6uZGBgzKjkgKwqC2015fvmUQdmzYOwdGlScOAyOP+9gmCU1s/grhsWgjZr9NFNotFps2anYslXLQd8lGXGSRSYhKYPypLs5euQlZHHq1GxrfjGyz0PHiz8DjQ5rYRm2BasQNBoCuSEyF96NGGcMQWfnOWqbD6AoCkkeHVIgizkbHwmzALiOhguSVW7ZSFCSab14OWpZgHiROHczIc8gF088R61iR0CgNCuHT9wbXaZ9OrTWXKP5zEXMTS68fTV4RwItdDmZ2NYtinlcqHeI4QOnSHxw5holAPrcBIb3tYRtKytMoqzwHrqqaql+cTfCiNS/McGGNT0ZoyMBU4pd1dARBQhJ+E8eRx52AQKiyYBhyVKEutfAdw3m5N9wgGVCUSUhr5vu02/iqNjC7rfeoHRBBS8eOEh7eytzy+ayZfF4ULOiKNyXn82aeXPHrBVXOzo50tSCzWgkM9GOTjP1mBSUsUxpW4Keh28fiXXaFj3m6cDTO+lsaMFYVc+w77vjVkhFQQn4sD72OeYXZs2I0MQLk0Z1dWo0GlJTM0hNjf1sv/7cv5FfvAxpwIW+8ObXSftzQRAUNXD4JmL0HTos9ZFmnr4K+q3GLKmZxV8e3H1w5VWwj6w2R1ZaLa3nCL3Yp26SZaw9fnL7h+iuuoQjKRVtih3ReBPMp7ISVRMjJIXoEbx0X/Tg9dcBkGDRsXFpJhbzpMBkRUE02UAQMaSPC+OJesOUhKa76yJXm/Yij7iK0hOLWbv0U2EkS3YO4a86jxJQtS38Q0lMjGxxJDoYdA5HDTKMFwNNXbx6oIokg42UfCv3LV9xwzEOTScvsPZ990Zs7//9LmBRxHY5GGLwubcQNCLmpeX0/vwFkj/0QFQL01QQxChFJkeQXjGH9ApV+EyWZfyDwwy39zBQ30LH2UvIIxW1M9uOoF31ETQpIy/9oTb41TZY+kF46GczGs9UsBWU03bwT6TptPzDpz87tn3Y6+Vnv/89i0pKSBopmioIAuvmhwehl6Sr42vo6eVoYxOSomDUaHlwpAjowWd+jVanR6PVkpyTh8cnYEiNfyLb8F61Ivs1XxDTvRvQTqiYLruGcP73vyLnL7qua58O4gx0akyJKeQWLcBqf2dcnO8obnIg76jWV7e3hbXJcSgt32LMkppZ/OUh6IG8VZAabjLXdQwwb8P9Y59r9l9msPoEtRebqMgJ4TlTixKUR3zoAs1k89TVY2NBexoEPlWqpjArsoIUkNDoIwmGwshEOAlHqt9iY8Ud2C2OsW39gz52n2jH41NfDLKiYPW1Uug/Cplzya/ciN4xnnWiyNHdZcntlzjg/C5pjkLWLP1kGIlRQiH8Rw8je7wAiGYT+kVLEK0qlWm/8lX8rw2FVYoOBiSuJGbTMqFasuJrBdTrP/h/v4KuID9sDN5eJ827zyJLMnqHhaAthx33T++emQhZlnm6aj8NA23844bH0cZlkYokHEO7DhHq7MH+wFa0IwJ9gtFI70+fI/kjD82YYCmh6X0QoihiSrJjSooMIg7sHRgnNKAS7o8fhKuvw77/o25LzIfKOAK5p8Bw42UchQsitttMJtavW8+vn3+Ov/ubD/BK6zna3H1hAamDATePFa2jNDOD0gkWumdGXFMAWp2e1Q89RsDnoaepEX13A7V9g9RdrYMBP8dfauYKDdhS1RITDrOd3JRsclMzMRrGFwwavRYpEEI7IYZZtNpJ+Ng3aPmP/4YdN3QbomMGk/ma9Y+zf++vURRJ1YARRcrnric1oxC94WZqzLyzGEn0vql9qqQmRIenmRLHe29q39eDWVIzi788SAHQTK/rYktOotWYijE1DduGyHTW8lOtrCodt5I8dXU8rr8tNEzagVY1q2XkZTnKCXxdQRJKwifNPedfQqvRhxEagCSHkXs3FUw68xxgM8GAj5/ufIliu0C63UBDXxVbc6NrV8xNLCZhSWTWEUCosR7RnoBh9dqo+83rNpJZcVfE9vxJnw9c/eHY34biYlbc/3G8w8O0vnGOkD+IzmKk5P41aEbSX4cud3PsfCerKqd3YV3paeX12lNoBIG7Sleyo3Q5/3nkBSwjcu6K18NiQ+zXlfPt4yRsXYn79GW8Z6uxbVmF4c51YW302ak47t9K34//SPJHH0GcFM8TcrpwH72I7Jqgzjoijie5JAb+1EriA+F93hBEEebepf4DaNgPB/8D1n/x5p1jAspyc2gtKkFGodbZzt8vCBd0PNBVQ69vmGJbuHVi8ORhjrXUoSgKxhEirDeayS4rJ7ssUm6g5+0W7l5zF7Is0zs0QHNPG1fO1RIIBcd5Rb2Hct8pLOkOcrcsGjtW0GpJzHtns9uiQac3snX7x8Y+BwM+rlzcz4kzr/DAA/9w3f2e//UBcpbkYS9SfxOjBsBRzZfRvwMBCdfA8Pi+kcZjhS1HYvYVFNxDLlpafh4z+2kU/pAfiyjTHXBO2W6mcAckREM3kiJRlhQ99uqdxCypmcVfHqQgGCJThX2Tiig6zOrk64lSXBGmTnqQ9QJ5myZP+youn2yOyFoRgA0L7pyix0jo9EYChavZPiKgluJaxdvdV6HhoKr2KgiYNHq0gkD+hRp0/X8ErQZB1KjS6Rod8nAAxaNgXL4k9okmZTXFg/4Lpzka/D61HX4e/cAnMNgj7/eS8jR+9UoNlWUpmIzRXzWyLPPkkRfJs6fzd6vuDbOgfHn9uABg/cnd6FKiqzwnPX4X7uMX6PnhM5gq55HykciCfaPQpSWS+NgO+n70DEkfeZjeI+fR9XkQEBCMeiyrytGmJER1UQWaO+n75ZskProR0XQLsjyKNkLLidj7934H1nwm6rM9CtVCGP37bOvrIxgK8t1nnuL9D0TGNWkETUSGG0DGwsWsWh9/SrNrRE1bFEXSEpNJS4zUt9kZPMDcjRvoOVvHlWf2MfexTWP7ygbfoGrv0ISLUr8LY0IyiRkFJKXlzKje182ATm9k4ZLttF84Ts8P4wjKj9WPJpugy0vjG6cZe8OMJTcKY6RPyJhPw9n60R0T/xuztIxag4OeRZhNzdOe+9qgWpnbG0dJBYCrzi56fOPESkYes+zJskqoZBQO9XSjTT2LgEBZ4iypmcUsbj6kAGgixfN0k1bmhSOTZL87vh95vAgGnQjTBFheD3Ks6eRYx4MWJVnCG/IRlENcMGygYP4KVeRNllCkEEhBhs/VkvrJG6+wLMkhgkH32OcNX/j/MFsdDOw/EJXQjOI9txfz3NsNvP/u0qj7f3rqdd5buZkM29SVfQNBH6aEJEJeL3IohBwIqDpAsqLWKcqyo09dTiDgp+f8OZRgACkYRPL7cbY0M/fx9yFqtciyTMfZ4wzqnXT8/PcklBbQPVzL/A9+eFqXlD4vg8RHHQz8cT+22xahz3mHgyIlPxz9AcghWPVJMEeqME+VPj43J4e8FAdvH2wi3RSpf1RoTeG39Qc43xdeMdwY7ACikxpPRx0Dh3+Hxjb+XBZInVw69j0QBOav/GzU40atD6mLS+i+0BS2Lzs4gGVz+DOryDLOgR76OhrprDtLyOfGll5ISWV06+OtgiMhjdQPfGL6hjHQ/4cDZKyamUt2OnQMhvC7LPj93RgMsZ/JuSmVXJUE0m1Tq3eHZImPHvweJxt/gRBn6pfBBgZTEWbdn981N0tqZvE/Bq9f7MSomyDRHQUKEGhqYd2KTCav60M+d9jnNJsBi17DcH/49ktXexl2+jBMcnekG8z8n+N7KZV8dDq7Y47THUjkwMWdYysrBShIizTTN1xr4c3j1SSOkIKTXSEK8jLH9te6fVjTw18Sv7rQxpA/NCar3jToYW6qlUB3gA2ZBRHnMDuNuI5ewro6toiWoDXQdu5lBEEgrew2tMbwc+6+8iO0gkRF3rgFxGx1xOxvIkxGLcl2A529HjJSwvt94dJRkk32aQkNQF/Qz8C+/Qw7qhE0WjQ6LYKgGSuELOp0aHR69X+9AY1Bj95gRJOSSkJhESf+73ewZaj3NnPlanK3bB3r291eyrkffI+KD38UrTm6NWgUoslI8ge2MfDCQUL9TswV00vZzwhTmQc1etj0VQj6VHITdMPyj0LC+DMjiBrkUCBmFy++/QsevP0jY58Pn96LP+Qb+7wMHaBaLoWRwFpXX4jG3/4XxtTIwUmeQRyrH8eSPU5aR52NF489GfsyJ1jCRO04mVRkGTEU6R4RRBF7cjr25HHydO3ScS4eepkF6yKDx6NBuQ6L5P8ELF3/UY7v/b/sfuUzrNj0CVJStsRsq4z6yGPgymAHH9z9ZVyuKsqyHuSugk0ICGP6RKo1Sf0soAZf/+ZYE1VJGu6Jkfb/TmOW1MzifwxMeg0bS6fPRrjUJyDqItOm9aZwi4IgCBSlWmkXfAz3DGFLVQM8hwa8rFmZG3H8I/kV/KGvlQdW5kTsm4j+QAZ3L1oz7TjdfonVi+ZQOVetCSTsOsJ7tswZ2//dU418bllB2DFD/hB/t2zc7TUcCBKSoepidGJgKi+g5yevE+xQFYuNpdmYFoTHLKRY8pEaqlBCQVxD30ewaCdMOiLB7pPUZ22k5tpbEWSyebCLbaE1aKdwB2xfncszb9bzxF1z6PMMs7PmJL2eISozitlSXDHlPRpFev4cPOmZlM29viKWSz7zBfSW6ITFkpVFxUc+TtXPfszc9zyOOX36FN7EB9cz8PxBdKmO65LLjwlpKomBke9EZ4QNX4JQAI79F/idsORvILEAQdSgyNH78PUPE+jzcvT8gbFtnm4nO+6OrPMVhhUQ2Psn9JsfmOHFxBeQmjQnk4ZXj1F09yoEUUSW45MrKJy/kq7Wes6+8Ssqt75vWpkD4TqrdL/bkZi4ki13/5Dzp77JwVd/jC3pj1GDgXVGCatWxh/D+nLN1csjrz6Cokh8btV3+WjZ5rjO/5MX/UgZDlYlvzuKjM6Smln8xUEKeDHGqLI9GUWpFrpbnWHvX40m9sv4ZupwiRqBUGBmNYEmy6fbRgpd6iZlW3me/T8II8QuIQ+gEQSBUFUDgZ7zKIoE7kEwJyBmlaDf9CCCKBJNQcd28ik+VvGxKHvgVd/bhCRpSlJzqfkqzf5z/ODYFax6M3eVLic1jvIPE5GWnM3pC/unbxgDsQjNKLQmE4s+/Xdc+vlPWPiR+NwLCduXMryvCsfdcZCaeDNvkouhfi/0XwPXiDVQo4N5d6txUmGD1sO6z6sBDsd/CN4BhKzNEUJ/o3C2dXHPyveQPLdgfNue6WMxAJDUzDlFlsPixfoGOmm4/CZ6kyOsuYJCY9DAvpHg+okFGxUUknTj33/68rn0nq/n8m/2MPe9G1XSFifSc4qx2pM5s/NnVGz7AHpD7GNvhqXm3Wrt0euTWbb6e2Tm/YGhgcsR+xVFouHSeQx2G8eHTvBvz04o2DvyaEpyEKQhBODevPjqToUkmaZQEEWARQl/ftcTzJKaWfwPQWfXK8g+C6+cmkwr1PSUedlFlGSqFg+tvz+qvPywU+bw7jOjCS0A5A710TXYG6a2OhVxiWdq6nI1A9NncGhEEUmK/ZJ0hWZGeCZC0Bkx3R+ZDRU4tQ9d5VoEXfxVv2O5+gB0Gg0BKYiRyMBZ/8AwL//q/xAySWxJy4eOQQCuNdfRMKFP30Av9txi5FCQUMCn1qoBBEUmaHVCohVZlgkO3trXlSiKmFJSGW5pxpY7vWy8xmpG8cd29VwXKt6jZkBVvwIf26tu8w6qqd8VMSwqogirPw0BD/q9/077oImUxVFcECPFMMMwxXc7iv0HruHQpKKceSliX5fbRdKcLVRmRFovF8XoT1EUftMbTqZSKosxpzmo+tlbFOumLhA6GRabg8rtH+TyoZeo3PKeGR07EzRdPk7I67mhPnzDIQabnIii6lITREAU1c8a9bMgimPflSig1v8ShJFKkiOBwuIIRRTHi4YKgkBOzmPkxDAkp2fuYdefnqY1pY5BJlh2Rx8BATCnYUuo5L/bXUi4+EJ+OtYpVL9bBrwErDq0wDxL/GT0VmKW1MzifwR0WjubKzbE3P/Csbc4+WYntox0gq2JWN96e2zf6HtbPyCw5J7wLKDepFZqaiXcIRhdZ0xFXPwxSIjT42L3uYMEpRDN5jaIoxyfRhSR5NikRi8IfPdUIwFJ5tNL8jHrZlJSIPpkpV82/bgmYyqxOl8wgH4SQeo9fYXB8zWIeh0PfvqbaHSRr5mB6ka63zqCLsmOJKQjX/MjaszoeutJKUhWhy9LmNa/H02qKqJ47bWbJ1IXC0X3PsClX/yUhR/+eJxHxL43oZDMmQNNONIsFMxkEOu/CFojPPMEZFSA0a4GBbecgNaTI41EdV/quLsSvRnD9v+F/rWfRu1WFEWUSc9voN1FyBlAmxC7Kr3BrKNy2e1R9+3pG6JvCuOFLMsoioI08iMUBBARqHb7eOZMK4oCRWKAlYuLMGcms+ADm2n/xVFmRmtA9rjxN17l/JVeKufeRHcgMNDTQvVzPydx8QrWPfH3192PLMsk+N34nX6QQZYUFFkZSedWkGUFRWbss6KgKi0rI7/msc/qhjA+qihxWAOLcXkfxK0zMk83niMnj3WtdtjrCrHv8BHcBiOPZWxlzhSkpqHHhZygp9xsRH+TCojeKGZJzSz+IvDgqttpSb6I39tHyfb4s31K0m1oEWka8pOaGjuL5+0r3bQ6fazOC49dOVlzjobuZkw6I3cu3YLRYODfDkSuaKNBI4rjuhNR8OWVqrXnj1c6eep0Ew6jjupuV8z2twpTWWp8vgBG3biVpvqb3yPlrtso+dv7GKhtY/DyNZRgCDkkoYRCKJKEIim46ptJXruElKVzx44NDA7QdzkL65rp45FuFURRRKM3IEmhiOKj8UKWZc4dbsXvCVKxNofGmj7aul4mz7cRjXH6oGgAVn9K/Qfg7gVPn6pUrZ5B/e/CH2HLP4WfO+CP+X0JGpGQPzzTL+mRMlwnO1H8EowYA5SAjG17PqIoMnSuC/0UwoNBWeHF7kGq3d4xC+jo1Frb1MR6sw5RENX5dqQbZ9DPQocWWVKf5YaLPaxcrD7rWqMBfd70wdedZ36LEMjDkpmFp/4SctDH8g/+I6ere/nDG3VjyQQTCXnfwDCsnLbrMMiyzMlf/jsJRaUzVqKeDKnfiSPNQOLCW69SfP6N45StqcBoC6/Q7tP18bE1C9EaIi21iqLw2/Y+fnzsFJqsHH66qpI501hfGnrc4NCz1BGfu/+dwCypmcW7Gj5/J25XDeI09ZIAcucs4NyBtwgG/eh08emIFKZY0ALXBtwsI1JPA+BS+xA6jcgHV6guiYHhIXafP4isKFTml/Po+vDsC6sxPteOqJna/TSKh0vTGA5IiCK4erzTtg+c28c7VVpYZwhfxRlKikldoWZatb/wFulbVyHotGhNekStDlErImg02EpzMWeEr6idjY0k5E4dhP1OIG1hJd2nTpK5cuZByVXH23D1eylfkY0jWZ1Q5i/NYp9wB8mXf4UiB9HYcrDMeQRBjPP1a0lR/01GzWsRm5p3/4bczdFdMPaCLBrePspgcxugWuCS5xSQuDY3LJ09NOBj+I0m0ImEbDpEa+znOVmv44H0RLanRKooP93TxmMT9JFCXi89Z0+jNZrQ2WwjFgeFqmAbfRcbVcIrK5ypHyZn3/OggPVcD6JFR9acpDF1S/9ADcMpjQy45lJk1JG8ehsak3qvl81PY9n86GnNzx54K2rh19F4H587BIHisG0ArL0DN3Cuaj99F5pZet97MKY6Yt6TWOj9r9+S+pn3h22rP34Zr9t3wyVEwqDIFFTOofHcVeRJLmxFluluaCdrXj7tvgDVbh8BWWYwJPHqtRYaW9pYM38u35pXiFkz/Ziq+4aRHVqWJMySmlnMIi4MDpwgI2OcNEgBH7IURGOwRH0RzFu+hisnj7BwTfTI/UBIorHXQ8elPsx+demYi5bAiW6aB1VT71WvB1uWk/KsBF6v6mAoJPHIoiwOXTxB20AnNoOVe1duQ6+LbrL3KiJPnldjBlIbPNjNOpiQhj664nMOe8jJGF8Fdw26ePrVQ7z37nDV2qtdLt643IlGEGgbCPfpn925H++QE331W3ieOQ86I9riZVHjad5pmLJTwywx08HbN0BSeaTE/1SQZZlQIIAUCiAFgoSCQUIBv6pREwoihULoPT6UUIi+K5cp2nEf3WdPIQUCKKEgiiQhB4JIsjRmz1cArdE0Y1Jz9I16ihamUrEyO2KfojGQUPl5AAIDV3Ce/S4oMqI5lepOD7qEDIyWJEpL18VvIZpkQJFDAaRAAN0k1epRaA16SndsnNBe4tre4/iGXGQvH0/51yYasd+pxqfJssyV460xh6CBKa2NE9F9+iT+oSGMieB3qmU5BFGkuCyJkNeHqNEgaERsxjQqNo3IB2yGE3uuUbC5cKwfPdB37Jcs3f4+Lp58Fq0nH4fJFP2kEzDfmkP5vLtj7q8+8yrz1kwhkLnmTkJeH+2vH8Hf3U/ug1tnRG4MpcVoJ5XQ8Ht8LNgyhTDmDcCeEV2Pptrl5UuHzlLf2YUiqEo0ggI5iXb+ecta7pzBNV0Y9oHDwOJ3SZAwzJKaWbxL4T7ZiSZBjyGUT0f3yIpUURA0ekSNDik4yWKhyGNFJM8Oabl0pjUsIHgUWlEk126g1a7hiWVq2vZ327tpMAg8cbuaKv1+4GBdL997sxabawhLagfPHT7LsuJFrFswfcE2faKDz5SqVp1XvC3cvSoyPRxgoLOfzvqOsc+ffXwbf9h1BFmWEUWRnvZG2q+c4HiHzIpUEYtOJJA+yA9PtBMKOln2u50Uf+XbpBVkowS3M/zdT6ArqUBqPI+38XzYuS4ak3Blq2MadRFE+5+Rv9uGqyjUqeSrxxmZIXOpvpam1g56e4Y5uXNcrK3vmkjwD2qW0sCglv6RfZPPATDU5WXD46XoR9SGZUlG1Me2CnR1dNP5/DMR2zU6HRqtFo1WN/a3dkS3pmHXq8zbdDsGWwKGxESadr9B9tr1iHo9Gq0OQatFNBrR6nRRg8ung2DQIQ270dgsiFqR9KzoWV0Tr1ufOBf9CNkLOptwuV9my7IHGXT2cOH8ayiyhN5kp6xsA1pt/AHd7YdeJHvtfXG3F7Ua8tcv5eJzr5NRWYZGHzkdiKIYpiMzE0Q7yl5YRFJ5bM0kAG31lWn7NphS0Gi0VK56nOozr+J19ZOZPzNCfD3QmozkPbAFWZa5+tTvmfPJR6PGjL1bUe3y8pHdR7CbzfzD+pWssFswiSJGjYAlrjpr4WiSQugUAyXmW6CwfZ34n/NtzOKvCpokI4Y8G0ZdEhBZl2kqpCpt3FkZuVqeiGsD46SoKNXCsYa+sP3rS1Iwye20dw9w95odMzIP60QRd9CPZRoXmCiKY1WcAbquddBxpZMq/bMIgoIlOZf56++nYHgImz0JUaPhxMsfoNS4CK1ez/z1S7CNiPUJOj3K/Efoe20nOU99P+w8sizTvv8I9y2MXreoxd1PriV8VfeDaj9r522LOfam1g7u2hgZuH0SKLurMPKAKLi4v5WALzRGaqZDemYahTviL/h49dk/sPShR0map06iqZUze47igXXdAob3ncNxz9qY5TYgtjNQl5CPkqLGkDgSUlm0RCUlTtcAl6p2IcshtAYLZXM3op+c6mywwiufh3ueBCDgGsSYMvVzPxlao4HyB27nysu7cRTlkb0kUu12KkdmrALm3975Bvkp4S4zxedD9vsBkEMhCIxnjsk+H9LQEIokIQwNzOga5i25m4bqQzRcPkBReexkgukwE7kGURRJv30tvccukr5+0bTtA9car3dYNw3NXj+fOXQah9XCHzcuxzJFAHA8cPqCuIwiJTod4k2u/H0jmCU1s3hXQptiwntlAPPCmWUy+AIhgtL0r6eJL+KiFAvPnGxBkhU0E/ReatrreGLTgzM6P4BNq8c5QmoCAZlXjrUA0Nvv5eHNhdhMI9oyBh2NF1pxDbhQAEe6g8fm9JG68UNhtW3sSeOBhe/d8m+YrWrMgKvh+2HWBfuddxJobIwYz/GzF1gxd07E9n6/mx9deZOhoIv/s+z9EfuHBhvp6KrCZs3A6xtEViQ0gpaiwttuOGgSQGvQEPRHT1vvu/C9iJpUHl9/3H23HdyPKSlpjNDcKmgdVmSXGpxriWLpuF4kWBOpXKK6Xd2eIaovvoUsBdHqTJSUbcBktKilEmrfgv3/BoAwMH5/qmpbaa6tDXMNqZlI8ph7a2JAsWLQcOXgKTYGrYiacXF8jUZElhXefK2G5evzSUwIJ1ZWv4J0vodjDhdavUhhvoNkh5nC1BQeWx6udSIYjYgjlbp7v/tdNA7H+E6dDo3dAaKA6Bxipiiat46u1hqqjv2B/DkbsCdnTn/QJFgT0qm/dIDi+fERI51Zh2ffM7jaD6iMSBQRtFrQ6tQyKVodyvAQss8DfW3Y//YbEX1Mlf14s3F+2ItvaJAvbll3w4QG1CBh2a6jwjq96++dxCypmcW7Elq7gZDePX3DSXj9Qgd3VUytbClJchh5KUq1EgjJtA14yUtWfcOHLp5g5Zzr83VLiox2hGw8tGFc/fdUfR8/+t1FvvyRxQCY7RZ2fDrch993vJNg+1U0Q5dg7j0RQmSjhCY2IslGt3OY1UvDrRRvtF3g8mAzf7/gHn56dU/Uns5deYF5hdtwutox6G3o9Rb6TrzAW5cv4a4XYENkPSB/cys1f2gBFPxOL2XvWRezNpROryHgjSQ1gYEadKZ0EkoeDdveMvjzWBcdhqGGepwtzcx7byRRuxWwrCxleM95ECKDZQF8IYkqTz9rQgEM2tip0zH7N9upXHwPAF6fm7qaA4RC/jFiKdjKUFBolWqpOngQrU5HoNdN8fJlyIKAjJqlJMsKlam2mNIA/3f3WQzJAfqdQ7hcbsqLi8lPTaNvyMdQkgmPNxhBanTeEPMKkygpScbjC1J99Necy8/AEGzn0okz6I3J5JZsxmhORAgGGX7uOaTUA2gS7CR/+MNRxyG5wwOgdYN+nLub1Li0oIygE1GSIxcu6TllpGbNofHKYVqvnVAVhAVhzO052F8FRI+pOXPwGQwmE/OW3BP7i5gErVmL8c67sC5TSZASCkHQjxIKQCiIEgoimKwEDryOWLwQ0Rw7u/JG0e0P8oGDpxl2DlFRWECpw86xxiZC/gCIAsFgiL5AAFFR8MaRnBAPznc5waRlfVr05/7PhVlSM4t3LZSQjK9+EGOxI672tW1D5Cea0U+j5+IOSJh04xaO0cKW9b2uMVLT0t8eV/xMNMiKEtVk39rl5kt/O7ULJGn5RoZ+8zmMt39Yre8jBdWsD1MizH8ArNHTQWtqj2FAh9Pdjr/xAgajFZM5AY1Wxz7PWdqqvSgo+GU1pXdhYj5fmL8DGK/6OxECAhpRR1r6AtLSx2MV7LqTzF37ILWeKgAGqpvoPNtAyBug7NENpCbKlD2qBqO2HbyAr3cInc1Mb8cgadnhLi7dJEuNgowihXC27CR5/qfD2rqdXRiiFGGcjJDHTcPrr7H4U383bdubBUNRDu4TVyHGy/0XVzp4tOIR3qh/lo35d2M3hreLdv9jwWS0sLAyejDrohEO/szbb9HvGcTfM0iC1YJWENCIAi1uH92+APcVRSfGuf2tmOYsYlFJCSkJCbx08CCl2VlkpVrJiiV3oBPHih6ajTqyU3NZlLMBTZFKflxD7TTV7CIYdOGvO0XpB/8JW1706vaxEHQYSNgyfoxzT3PMeyaKIkXl0YtvXpvCBWQ0WyhfGj+hiQbVSqNFmFR1TpNXjNxWo5bAmBS3EvQH1FiyODKNYiEkK3z6xAV8fh/3LapgT81Vzl9rZF5ODklpZmRZwaTXkmY0UGgycEeUTLXrwYl+F+hgZdKtI2vXg1lSM4t3LYzlyfgu903fENW0vq9tgI+uKJi2rdMbxDbBVZDtMGHQijR09JEbuEDXcC1ZydefWiwK0WvbakRh2tgcQRTx52yGrEXqv1EMd8HF58A7Ypq3JENoPC7o8OkXWbvgLvRbNzE42IXf14DP72bY3c+/bnz/WAHK55tOsTljHkmGqVMwXYHBqNtHZeJHwyEG6jsounMZIa+fS7/egylxvF+NVoMclDhz4AqCKFB/KTyLRpYUZBlamlpAEDBIf8R2+Qp6ay7CpCrrded2MX/141OOWZZlqn7+UyriFs67edAmJyAMRVebDcgKGRYrd895nN2NO0mz5lCZtuiWjeWxrdGF8qr73VwZiG39NJotzMuLHtQeLzRaA1LQh0avkhqrPYuyxe8FoNUrzZjQxILfE+ToS/8vCZnjdbp0BiullY9OcVRs8miyJFN95tWY+x11f0KTHG7lUWQZ++LoBGoidAuWoZTMJ/D2M2iXbEGTMX6PO9v6Ob+7dWx4o17dUQVh9bMwvl0cLSw53ubYoIvB3ja+c99mVjqsfLlo5q6368Flrw+tKJBvnLn18VZiltTM4l0Lf90ghjitNC+d2IPXDLKcNy1xcPpC2CZU4O7rrOOxrGoGmrvIWno/V1uvsq00dpDstOOWJMya+LNWJiPqKtSWrsZQjGKwBWP3L/H84isYH/06JsFAybw106YDP5S/LK4x6LrO0CNGBr7KTieIGnJWFlPzhwMoiozWasKQaGPxp3aEtbVkJVH38hHIdLD04diVgwF8vmEaGnaQXB69aKIiS2inCby+8rtfM+e+B9HGkd57s2FZMx/tz05F3WfUCAz6gjiMOm4vupsLPRd4s/5lthTehTZerZqbAIMoEJRnEg47c4haA1IwVukIlRDLsowS9BGQZBRBtVy0d3ZztbmVeW2nSHT6qNo3Xjm8uqcFzRH1uR1oEMnRJ4NpPkOtelbfN/7MvfL8N/EJv4+I9xoV4RsYPA/8IPrQDHDG5yPTPn+svtrE3+FQ2UZM0mQLsIaO5qPQLFAzWE+66CLVOIUVJAmkyycINjQiBWUGu71UNddSc8GHVi+OqwaPDZwRNWFlbLvaRglrpwgKa3LSWOl4Zy0mrVKIkEbPvzZ0UGYx8kiMFPJ3GrOkZhbvXsgK4jSZMZIk8fax11icW86SpET+/dKrLEkpYWtmeUTbpj4P+xt60YgC9y3IAMDt7KOrrQoxdzsvXu7i720OhgIutJrpVx/tDRdAUciaVGnaIwUxRSE1IUmhusNJVYczbLtWI6IRBDQiaAWB1GEv00XO4MhFe/fXCb3xcwgF2LjqUfa8/bMxGfXSkpUUzImvKF00bLPOZf6aD0RsF016BKOZxNIEEkuntmbZ8jPQm/qZ9+D9055vYOAaCQlT1FuaJjC5Ze9ukuaUxVWz6VZAYzHxQoaWfeebyTIbSNBp8IRkmlw+/LKMJyThQH0mFqYupMBexLM1z+PHiCcU4HxjZxiVjUY9fN1eiocVjObxZ2vybRlVy5+ckSQIaokPT7+PV6+5Jx2jNg65rZx4+RiCAMvvWcXRjhO0XNWNjGdEoO7MGeZkLxw7l9jrYumcMhipJWSyZ+HpqcfkiHyCk8q20br/hwCIGi1/kq3M06mZX2mJdjYsW0hVmsiaeeH6QMMnn2LpcjVzb1foIHM3lAHgfDk8cDzRupKKitg6M1VVCoWFsa19VY2H2VKwNub+qdDYfIYcRw4lCdP+cgE4tauRly78FkvQzic+tJGixTNXGVZGSih8558PYjK/szoxnUM+fE3DzE3N4KlmtfDqLKmZxSymgaDT4Ls6Ib1TURAtOvQ5amWYumtXuNJyiY1LtmKzqiukryy8l983HOUH1W8yFHDzwTmbcWisPFfVTqpZz/uW5oxZcoJBP1cv7qRy1RN0XOnhF4cbaen34NBHrzwjyzK1p99moKkWRZFJzJvDYFsDzecOslOXTurcbAQEREGMai3SagTOdzh5bElOWJ8BSQ3iDMkKrkCItqrDXKhKwjYYwOQPjhSvG69wDCOrSI0WsbmGxLUasvLLycovH+uz+vwenvu3J0i+dxubyyLJyUT0+Yf4QfWbBLsCFBnUmJ+ijkG6dr8w1saQlodj4TKEpCz6vvMVlKRSdTzBgJrpMXa940L5g9eukfrEe+NKh3c6W8jOjq5h33HtDIlpU6eJO5sbmf+B6IGn7xRWZcCdC3NodPpwBkOYtBruK0xBGyVewqa38Pi8R/lFaw8m4FM5009qp6Q+7Ll65mTOtDJSvFDVdE+8rFbWXp+cxo7SVWN7ZVnmtaYr3LN+3OUy2NBOwDlOkjSG2FYyc8YczBnjWXg5jYfZUrB87LPbO4woxB9bMpnQTReZdDMy9iYiJMlcc/oIeYO4+wMMhbrpcPnHsswAUlIzMBoj70nQFyLNkMY//vOH0emvLxNJEIQxAiuIN/fapsPRhl40XT6eW1zCJ+taODjwzpdviYVZUjOLdy2ELD1tly+qhfhGtsntAaQzEvVJveSk5nH3hocijnu8SF3pybLMF3Z/l2WOh3ikMgvThDgaWZa5dOo5Fix7BFEUWVGYhCjAkfpeEiZYcUPBANWHX8Hd1wkK5FSuoWx5pGuqY/cBFumzKSyItBT877o2DKKILAdx+MJf2qIoYhzZ1OkL8N3OXr764L9jBt482cG9t0ev9q3IMnIwQH23BYc2/KXpab5AwtWTrHzv39EabIl6/ER8fdHDuDxu9nedYsfqUX//uCJx/7lj6OzqKsy47iFCbe1YH/3ElH2GXC66v/UtBq5cYfBKzfi4R172wsjkpSgygiDiHTqM+SPRV9m9A52YrbFT+wOu4bEYjj8vFDVQ1TH1qvntxj4G/UEeLsvgQzmpPNnYGVfvAsIYqb2VGJ37Q00uTh85hNFqZn7FErr72rDow10cokYcq6quHqTF2VRNwDNqRVFUUcwJ4pgoMjpToioNPAGKEp6V+E5DjsM15wtK/PJiG+6AhFYjkJNgQn+xj8WVRehCvXhcLgRRVUoWEDh35AjpBbkUFpWG9SOIAijCdROaiQhICr2h2BpJtwJH6/uYm2EjxWogWaelwPTuiauZJTWzuPWQZZBD6ktNEMb/n4iG/SBPKLYX8DDYeA2rNYXUdY+H6bH86vXv8fiKj6PXx46xuNR6idcOvc0W43xSxF7OH+pH1IrotFp0Bh2CconiubejG5kM7SYdC7LtHK3v43ZTC8ev/AhFkkAUmLP6TpIzIy0F/n4nTbvPIwVDWJtaOSnJFBbkcbrqEp0DQ4wmkw7IGj5ZmEXpmugEBeD5zn4aPH7+dU72WDo4U8TlCKKIxmBEEHUIIxkVsizT9cbP0NgSyH30a7j9g1xtro7Zx0TsOXKcOzZGD3oMdjWTtGh8xR5VbW0S+n70I+Z961uIcZrFW/f3RLXoSJLEVWc7tgEHxaVRDgQaX99J4fa74jrPrYUwpgY9Fc50DhGUFX5yTiWcTaEA8ZTx1sQQurvZGD3HvPRyStes4/SRQ4D6zOknf58TSIjzQCuKN0TmnIcwFk2dYdNRtRP04W2UUBD8kSt+RVH40yt7MSZoyc1On7Bd/f/UU18iuXAetqgaxuH9TIXGBh//3nMNk07D+8ozsU+o4dbh8vO7S+0IwN9UZJFqGn/3nGj1UF6cBlGcxgVFc7h65RLH9u6hctUqTCb1/mm0YlwkKh4IQG/wnSU1R+r72DpP/S6CikKhaVZReBZ/Tei9CtWvQM4y1Og3OVyTHyAhG9LC1UzTysHT2UDna08iWhykrH0cjcGExWyLSWg8fg/Pn36evKQ8vvLYuLVBlmSCgRCBQJATh//Agoq12BLDX0Kri5P505k2vlKZRdZ90S0RQ62tNB4/znCfkcz0JArvWo7OYkT8w36CBnW10jXgZMfG8UrTdwEvvH2A0oLomSVPt/eRrNdeV9aCLKtmaE9HLX37nyVl63sxpRQAYDE48IeiZ+RMRHNnOw6HDb0ukkRJwRChqrN4ve2gyAgmO4prasXX4T17MC9aHDehmQpvn32W21c8wptvHKO2oYU5RZH3MOh2YUiKs/r1LcSC4nx2HjyGT5J5eEt09WYAo1bDFxfn4pXUdPafnotdW2kiBFGIOhHKsoykgM8bQAmFkCUFm92M5iYIrE3GVJYieTiAY0ds4j4dRJ0BWR+ZlScIAka7ljsn6SKNrotSiudRcOdHqN3/7HWfG6DEIXLPskKGfEF+X92Bf0TPRVEgwaDl75blo7+O1OvSufMJlZRx+tABcueUkJWdh0YrIknRhSdnCr0osND6zsXUtPR7aB3wsqZYLQDslxUMf0YL22TMkppZ3HqkzVUtNSE/5MwseNWcUYT5ni/Sf3oXHc/+L3Le928MxEg3PlZ3jNqeWh5Z/gjGSaJ1okbEYNLT2X2KgrmFpOeURRy/pjiFH+9voN8dZKJ8n+9qM07JTdvFiySkpFB21w7OH6+heFO45oxWI7Jz/1Hc/sjsD8MU9WGuun18M2t6efuBK814eycEGQsCwx0D9Bx8GkUOkfPo1yLiBs62BWly7uS+uavJskef+I8eusia9Quj7mvfdZikJ76EKUt1/8gD3ThPP0msqA45EMC1/wCZ3/omvt4WXNfOgqyAImEtWYoxRU3p7T/3Bp5rlxEN6vfk1jeG9ePxe9h3/nkWz7mNBLOdhx/Yzs43DuByeVhcEf7dCeLNn7yvB/k5WeTnZPHinoO8tv8oAHlpySycF2li0mpEbCMT5FQuF1cohHVEXTo/zcLes53UtoQHmguCKiNwre4q6wqzETUiHqdvLOtn9P9YmLzf7e+O2i4xIYWenrbwjRNIliAKDL3VhKkiBX361JIBQ5KPgDzJlSWIdLuG6BvsJjlKoHFsxEs04rOM2I06PrH45gaca7VaVm7awukjB8nKzlNVm2+qmPA7YMIbwdH6PkQBVhaNkhoZy7uo/tW7ZySz+MtGxgJoP6f+m6i/Mg3kUICuN/4LfVoxOe9T5eALHIVcqD/JwuLxIMPXL7yOSWfi/atjq8h2dl3G7e6iPEba8LL8RLSiQMe1DgoOVhHo6AcFQt1O+op1zL/rLvQWCx63D23EKlhg27roga5TXp8s44ghFjh5Hmo9UkPexvGsLl9/F8m2c1hLH8aSHZntBVDhWMDWinX8qfoI/V7VtL8say6r8sYDNh95cCuHz53hdNVlFi+YS37mOMEK9A1iyRqPZxET0xCSchl86WUGDr+CUmgl88HPEhzuxVq4hI7nvwsL7LS/9l8giCQu2ToWS9H95q/R2pNBEAgN9pJ576fRWdVYnWvXngLA5XVxouZtAG5f8ii6CQq8d23fwN6DJzl49AzrV4+rPcvumStP30rcv2XcorBz/1EWTiqnFE9cTLXLy6vdg5x3eXk43cH96Uk4zHoeWBt7st2fHMDmcFCccmNZKEd2NUbd3t3VwZziSl7Y+RNstkTMZivOpn4cvcUM9zaBRkRyDpO66zWsBeGq3oosqeRTUUCAF/QOHi0Kd+ka9SZKU3PYWXWUNeklOGnGYTDhD3oIBIKcr6kmOdFBTppq0VRCAbqO70QOjSwipvXNTW9NeOWUqq6dm5zKosLoRH8iTr1Si/86fIIarYgUkPF7ghjM1y//AMRzWTcVR+p7mZdt5+WBITy9Mk3eAJmGG7yGm4hZUjOLdw5Zi+DULyCpECboObiqfwMaPVp7MWh0CIIGUWfF09GBu3o/qVs/Njb5Ady+7H6e3vNjMpJySE3M5MUzL5KXlMeSgthlDYacHXR0nGTxouiZQFIwgO/qWT6X3UenPBdtVgrW9Wqq9sALB5GlQTQj7plgIIg2YmUy9YstM8nBrgPHRpoqY+2DskSyIxkKMiKOCbnD/eR6iwF7sUo4eg4/izTUR/4H/3naGA6T3sB7KzePnFphf+MFnjr2CgApJjv3l69i/ZJl+JyDHPuP7xDIXkHqhqWYMpIRzZGZG6Jej/vwIcxb12Mqnk/f4T+hs6fgqjmFZeFyHAs2RR1H3nu/HnOMdZ0NNAy9gE5rYu38OzHE0KTZvH45Z6tqeO6FXeQV5LJiyQJE67tL0XQi4pnurgaDY8HCo7ljfcEQX8zPIFGv5eXuAf6rqYtP5adP2c+6ogKeP1t1w6RGEDUc/v4zLLhHlf83mE2cPnIQsz0BT6+HPPs8gkqAwLCPQEiPbVUiJRWqBc7X081Qw1L0K6cm+HNP70cgmdoBD0FJRlIUZBQUQw5XAyHWaTW8drWLDy6cy8qKvyGEhb7BQU5XVZOzVSU1aSYvtry5pFSqCtayLFF3YIILquuy6sMewUBfDXtsr0cdT0LTXtYkjxOxtl0ZXBR6w9pIJj3+3HCylimBKDXQfSpWsHe4n32QOnZVX2RI9JKZ2kbd6W7mr59ZEdI/JxRF4Uh9H0uWZvLlGtVtmqAVqbC9synlU2GW1MzinYGrB5oOQ+GGMEIDILk7MRXfR9B5DUEOocgSStBF65UTzL//yajdPbbpo/z3m/+JxpTIyuKVzM+JXbgwEPBQe/VFliyJrTTbf/IUpoJMgnMc/MexJp4onBDfoqgxOcKIGyDgDyFPcofLrqlTGruudkYV1fNIMkZ79FVO54CXl4+2IIqqaV57pQHDlSQ0Va/gWLqd1LWPTHnOaBAEgU2FFWwqVAlby2Avvzz7NiFZQnPuGPc89gFy5s6j/a3jtP3xdUq/GEkCR2v29J58Ga05gZwHv4Q8kgHT5e3lZOsp3CE/upqr5JrHCddEd4gU9FO2/H4sCepE7dPt4J5Ft8V1DYsrylhcUcblmmv8/g+vkDs0POP7cL1QJAnF40TxOJE9ThSvCzxOZJ8LQgGMm8J1UF5vD1J3qjFsW2BS7Z1Si5HPRSG1o7g3LZGLwx7+V20b/1yciT4GidWMZNzcKFZvv4t6/UXsI9aWBYsiXcZ+vw9JChHskfANjrtbBa02PBsqBuqb/YQsTnSigEYYGbsqkMt9C/LJT7OR3NVJTs54gLrdaqOmvnHss6jRYM4cj+EpW7YJTv8KRt2R0lXYOF5E0nPOzPy8rVEFKs8N+EleeN/Y5+QoRhrfvt0YN0UmDHSf6iBtWXxFMG9jpN08+PX+7yOFbpLb6B3yPjX0uuke9jMv08aL/f2cXl1O9qyi8Cz+6nDtoOqCKL8vwqcSHG5BtKShTyxFnxgeexDq76Oj6RiZ+auYDFEUed/mT/LW6y9OSWgkKcS5cz9n8ZKPTmnR0KXZEPUGVhcn8L09dVzpHKY8a6TWkDB+TlAJjskSbkmYaC145tev45i0P8FmYe22yNVrs9PLkdbBqGP65MPlI9cgI8kKB1IWcLz5Co889GXEaZSDR+EwW+h19pGSkBx1f64jhU+sUDOHQkvv5Myre2k8cYXFD2wj6/bp3Wntw12c9XZQ5xoiWW+g3J7OitQy7AYbLzbLVKyPnlHV13mFnrZLWBLSRwImZz4Zl5cVUlacxy+//nXWxogb6fvpz5BjpruOa+oYPKfRFc+PsVsY/yCICAYTGK0IRguCyYaQkII2s5jAgadRZDksU2+HXuKOZQUANPdco769CvQie6sujbUxev3A1OUJFtjMZBv0fKOunS/kp5FmiD6RRAud6e6upbX1IgDBoA9dWLzZ6EWGz4oGl5HuU2pathwI4Ji7AGPSOPEyjMRCOTUuZGlCXI1GgyxJhNwuvD3dKsFRFPp9ITCoZykoKmNFImycG5vIqSOLnKknbwu7381HoeyOmO5tQRCRZXly+SV13zTPn//YEeTh6YPuZwJBAOUmZEApvDNZcaBmPWlFgeJ0G/T3o7nJ2j83A7OkZha3FvV7wZ4DKXOi7vY2vIx1XvQ4mMo1n6W26gUaq3dRMC9Sw8RkMJNuS2dooB974rjJXZJCdHdfpre3mu62VzGJ6ei0U6ccyqEgGp2exXkO9FqRow1946Rmkn65qBG5VttEX+8AqWmJlC4MX715BZEdd67GZp5eO6XfGyRhGtVkn+znT43HWJqcy9aih6ftcyJKMvOp62yKSWomQqvTsuKB2/G4PFx68xABvx9kBUtKIou2R5ITXcEiDr7wCh/46CejEkaNRsNLBw+iKOD2enhi+/axfVZ7Ng1VbzPU00x7l5P8ivisNBHn0GowpGbQX32Z5PJIciuHgqR+8pNRjgyH98UnMd3/+esawyiCCRkoPjeCeTyMeuI7v7m7lpVzb8dsCDfVy9d2xdV/ol7L/1OSxbevdXBnioNl9qmDcUfR2nqBJUsejKvtGCZ4crt7W/jTpU6S7DL+kIxeI4wRSJfTT2mCmVG7ptZsoalpmNb2Y2gSbMiKgKzAW/VeskoNDA256N9/lU3zbkJ9IkFQA5VF4KXPQnIxlMVO7Z8qYHq6OCfF58V8z40VvASorv4aRmM2IGBKuwjcf8N9vpM4Wt9LZa5jTFBS8+7jNDdGar7zne/wta99jc997nM8+eSTAPzkJz/h6aef5syZMwwPDzMwMIDD4bihPgE2bdrE/v37w9p+/OMf50c/+tGNXMIsbiECgX6Gh06gGzoLzRA1S0GjQ9THrr48p+JBmmv3UHP26bHCeBNRXF7EsUO/IjM/g1HiIQgiSUmliF4Xi5d8nY7Gg0hSgO62cwx0XUKrt1JaGe66kYNBRL0BnU7DsvxEjtb38uF1I2RlbLWuIjUjkTsf3gTAyQMX6GrtBQRq/rAfEEgZ6uetM3V4/KruzsPrF2DUR3cxuYISCfrYP8PT3dXUDXfznqJ16K+jnlS6PZ1T9ZdndIzZamb5g+MCgx0NLez94e+ofOhOktLGyeO+nQfJS0hjaHCYxKRIXZJ71o6ntb944GDYPoPJxvJtn1H7f+sQRTnXnwocCkr0VJ2LSmreSYiOVHwvPYkwUk1ckzMPGP/OtBodwVAAJpEasz6BPdfUWI/JdYfaO5rR6pYy6tDxhyQ+U7mQz9Z18NuKeO/Zjc08Q1qF8nlmKlOyIva19Lp5+0Qb7UEJBQVZUrgWyGTd4mw0oohGI6DRCDxSDpJBRC+K6LQi//uVy1z21YaNcNRo0dvr4a656XR3DnLiQhWyIqvljhSFgWYv1QcasIutDLb0kINC7+lTaJwGQrYCUkXd2NUev7gPY8DJ6F0NeodiWmunstS4X3wJXW5sEuZSLuG+dmGKOzhOmDIyHybRobrzDvU8hVJ0E0ws7xCxkGWFYw39PLEyj4ER66f9FsgG3Cium9ScPHmSH//4x1RUTKp74/Fwxx13cMcdd/C1r33tpvQ5io9+9KP87//9v8c+m9/hehezmICmoxBwqZozeavBGE5MFEWhf+Aw6Yu/csPy5HlzttDZfIyTB/4Bs7F4wh4RnSGBVesfxe4If+Feu/wajuQ5JKWVIoUC1Jz5HYnp8ylb8gRHX/4ePuevxsYJoAx4GW5WEESRO7Qe/q0hSEiS1RWJAoFQkGhYvmEhu18+yrLtSxAFAY1WQ/fhi6xftwAAjy/Aj3ee5HP3r4l6/JlOJ+9fEDlZ+EJ+Xmw6SllCBo8Wb5zpLRu/Q3GUKJgOmUW5pH/8cU488yoai4Wl92xGFEXu+8AT+Ifd1P7sFarXrMVg1FJRno5ON7Nz+v1+rJbrL0KZmjeP0oe3XvfxKm58ZjCsfQDWjmfWeX7xFYKm23n+N69zzyObY5avWp29llP7/1/MpshA4Dmpc8idUMMrKIX45u5DfHl+pCRBNIRCAYan0RWaiO9c3M08a7iFMSTLbMtZHLV9boqFhzYXIjCeWn7Q5aKyfOqyD+VZCXx2S3Tr7R//VENqoom/WbkCvU5EFDUj5UcESrML8DW1I4Z0zH1gO6JWi6uzl5z7vs7g2YOEPG50NvVdZAw4qVxyb9zXHgsauxX90hUx92t1dvIKIxdc00EQousOXRfeAf9TTdcw/e4Aq4uTOeILkqLTxozv+nPiukiNy+XiiSee4Kc//Sn/8i//Erbv85//PAD79u27aX2Owmw2k5ExtR92Fu8QfINQdqf6Y7r6BtizIWMkus7Tz/DFn2A0mCElCHEUh5yIQVc9w4NHCAYHx7aJop6SBY9id1ROO1F3NZ8iFPRSWK5W8E3NWkBq1oKx/Ro5h4r1j8U8vv2/XmO9s5+L7U4W5TrUY8Rx1d6DBw+GEbUeVyeNNYnIkowsy6Smj+vBmI16clMSGPb4ItxRz1zuIMmkI9EYboHZ3XqKPr+H+/JXYtJOPdk/e+R1TCNChNFM6AICqTbHlH3EA1EUWfXee+lr6+bIb15C0IhU7NiMdOAMZe+/A12KA6fLz+nz7ciSQkKikfKS5LhIlcs/tRpq18AwF+tbGRx2jxVWnIir/uOY9rWxYvWDWC2TtHhucVXqqWC453NsefO/6bUWsOvpb2CoqMSoj/596vUOJDnIwlVTl5/QabT867ZNvHzoEEG3i2Wlc3B7hjAZrYiiBq3SyKnTdSM1lBTcbic52fERIIAUnRyhi6kVRfa0n4/YDhAMhegftGA2WMbKOGglfxxniv29mMxaivPsQHRVYq8coOVQPX6nG0EAU5IdXYId0WSl78AriCYLCCLKwEWYQGr2NvdxusMZVUAvuz+IsO/5sc8VmyLLr8SCTnTE3XYibl44ioDmipPf72kgMcFAst1IRpKRDIcJ3XWIBcbCkfo+9FqRJXmJ/OZqC8Xmd4+K8ERcF6n59Kc/zY4dO9i6dWtMAnIr+vzd737Hb3/7WzIyMrjnnnv4+te/HtNa4/f78fvHf1xOpzNqu1lcJyyp4OkHc5IanFf9Crh7IegBo4OE5V8l6GrFefa7oEjoUhZiyr9zLKhPkWV8gWGqhlpp94SvJL1DR3mg7P2YTDMnsM7BVrrbT007OUyF5R+/k2e/+jRH6ntVUjOSnQHq5O73+9m2LbL+UzR4fAEae4awTMoQGA4E6XT7+fzygrFt1QPXONvXyPr0eeTa4rt2k17P3cs2x9X2ZiA5O411H3iAoD/A2Vf30nvyHEsLs0hPcZBgNbBqmVqss6PHzYnT7WMzoL5fQ+OuE2P9TAi9xdzv5oV9p6IuNgVBIMFqYkFhNhnJ0Se53x+vZe38HRw/8jyeoIvsrDIWLlK/H9vtW+n4xjfI/Na3prmym09+NCnZmN/7v8io2s/G6t04ln0nZlsp5MVkif95v3fdOg6cP8+ul/+bjOxkgp5B5i99gMqSSob9TirSolu7p8NHym6fUfu+vkYGhTaKi5eNbXt951Mc7WuL2n7UMloYFIC5UdskOoz8/ud7KE4xIwjQ01KPNdGO0WwdI+5D/X62PRRuhUlesUk9hyShKAqvHJ7HgVNN6jYUOof9/NPaYqxR3b35Y39VTSA3/qOH0eZPLcQ30BOg98LvR64vfN/ExY8sKzj7vCgjgdUeofOmPHZiphHTpWH6/9hIP1A/sl0BfAaBgFFENmnBokFr0WGw6DAn6LAlGEhJNJKdasZu1hMISTjdQfwhGUVRCLp60JrV8QsIHLhYz5J0hermRo70ONmeGbse258TMyY1zzzzDGfOnOHkyZM3bRDx9Pne976X/Px8srKyqKqq4qtf/So1NTW88MILUdt/+9vf5lvTvshmcd2w58JQi0pqAObdoyoGa/RjSxCdLRf7si8D4Os8gfPsf478yNVV5J5BLUuWP8zy1HlhK/qmoTyuONtZPENSEwy4qat6mkXr/v6GLk2nEclPtvDGpS4+takkYn9+fj719fUUFxdHOTocRr0Wg1bDoMtLUsJ4YOelPjcWk2qh8YR8vNx0nAJLIu8tmRlB+XPZIXQGPcseuJ2XdRo0eh3VL+9BQEAQ1ZTt9IVlrFo+Xo2cZTkx+3Lv1VK+KbbG0HTwyT4M1gQ23P4hAJpqT7Prte+h1ehYtewBNEk3pttyo9BXbMQXOh11n7OvjYbqP6HVWZi75Al6Tr6Gu7djbL8UDKLR6cbqQUqBAKJWh6NoIRlXj5K78SFMaXnIssTZE38ku2g19e5W4PpIzUyhKHKEonNxcSamDDs562KXijj6zGsx961bmc0f+5tYcaea9Xj5oJf0ohKSs8czxE7vOszxl/aiyDJ9PjeONPX5mmj86G928uUPbZrxNV319NJ77El0oohxyIaoKNDZxbC3lRKLHb3WwsTMuaBXpnLh41H7Onr037Fa1bENdLi5eqIPd2+x+rsVFmLacOOidV/77HJkWaZvOEDnoI+eQR/9gz6cwwFkZwDZFSToDqK4Q0iDHoJeCZ9PJiTDAFAbpU852ErA9cewbaNP1J5DsKqwnOWf/4cbHvutwIxITUtLC5/73Od46623MBpvTlXcePv82Mc+Nvb3woULyczM5Lbbbos5uXzta1/ji1/84thnp9NJbu7UaZOzmAGsadBZFb5tigwjY8YKjBnhfmlL1V7ybJEBePn2POr6L0VsnwqyLFN17CkqVv3dtC6PgNc7bX/lmQk8eWWQum4XRtcwPd4urly5giAIDAwMkJAQO7h5IkRR5ON3LueZPafpbGziwe3rKMrPJBBSaO5z85FdR9leGuCB/FUYpsnQmimutF6luq2Jyvw5FGUUEAwF0WlvnvLnidOXWLCwjJTCXFLmjmeAybJMx8lLdJy9hDnRTt6GZTG/k4DHhyZGEPVUkCWZgMeP0WbCqg0X35NRhdxCUpBXn/s2j3wgnsXNrY22lGSFtv6Wse8gO0l9F/m8PaRlLyGrUI256r1WTSirVC3uCJiz0imoDCcHns5GXC1XKH3kC2PbRFHD0lWPc/HMixQ0vohz4CqMhRdPvPfy2Gf3mTaUrCjBxqPmhpHFyaXBEMlzs1EUBYslkcLClRgMlpEmIsok0aY5Dz/EtV27uPD971P8+OOYUyJX9J31tfxx15EwUj76DShAeeF4nJmo0RIKhse0Lb1zLQCDvb001tawaHU4KfYFgnQfmyp4Nza8maUsLltOojn8uTrX8hI6RylptvD5pvVM9IU1gMWSzcKFqqv75T1n0UsHeeQf70Rn0CKIYLHfnN+8KIqk2o2k2o0TjU4xIcsy/e4grT1u2nu9eH0hNFoBi0mHXifSeWiY1r0w78NfxJKewolrfTx7uoWvbi+l8fv/wqaiAh5I+/PXW4uGGZGa06dP093dzZIl4w+QJEkcOHCAp556Cr/fjyaaCMAt6HPliGJlXV1dVFJjMBgwGN6dPr+/CATcU5KY6dDYUUd+YmxLzExFxC4e/xFlle9HFyNmYSKMGY1cOvHfUdQ5xt0imXkyxxb87AAAy31JREFU7x1wc/ZAN4lWL3nzV3Kl6vxITAcEEmwcbmkaO260H1EUURQFWZZZu+0ORFHkyukT5Hk7eOxv7+ePbxynKD+T5elGWpvqeGxBCfNzY5SfvgE0djXS0N3OAytv50TtGapa6nD7gqyeM5eijEgBsetBR3sHq5ZHqpSJokj2yoVksxBXZx81L+0BjUjhhuUYHeFVo5rO15NfEWkNiwXvkJv6MzXIIYlgIMDSHWuRJxTRaak+xbXWs+zY8bkpeokBRbkpgQ6KLOHf/TvkoU4ErQFQ6LzWhD+pA71Gz7XOc2Sv/CAAepOD/Yd3o7/kRZEVdJZKtixehcmi3qeqvc9F9G/OKMCcURD13AuW3A96GWmoGc3aL0ZtMwqx9vtY75o+3b3vxRdZuOR+AIaG2rlSs5dQ0I+iKPj9XtLSImfRwjvvpOXAAQLDw1FJTVmSjvI7owfPT4ZGq4mpNSRqNMiTxAwB3jh5hWXzru8514giwcnqmgCKghi1zlR8z0x6kZ3+frAmGtEZ/rxZQ6IokmIzkGIzsCgKrz1aY6EVWD63nNS8DH54/Cil+WWsyXDQCKxdsw7tu6iI5UTMiNTcdtttXLgQzn4/9KEPMXfuXL761a/OmNDcSJ/nzp0DIDPzJugdzGLm6Lo4Hhh8Hbja3cK2ytiulnjq4wD09tbRXv8WGblrsNojs4iiwZqQx/wVH5623dODF3jyag/frqzCE/Bx90MPI07xjMuyjCxLyJKMxzXMm8/+AY0i8f+zd9ZxdlTnG/+OXN277i7ZTbJxV+JKggcpRUuRFilQaJEChba/Ui8t7lCgWEgIEOLuttFNNsla1t3vXp2Z3x+zks3a3SQUSvPwuezNzJkzZ+aOPOeV500bOZr00eN4f/k2xg5K4sipY2QW57No/KxuywH4iqJaB5X1lTjcTjLyjyMKUN3YzKWjxuBv0V+M49L0CUNRdQklNaU+kxq320txmZ1jx6tRVK3To1ur7j1OzRYVSvqVs1G8XvLW78ZttxOWlkzEEJ3IuBy6taUnqKpK7p4sHE3NmC1m0i8ajmSQKD6aT+nxwg5taxvKSYwb0k1P3UMeNgPHsn/SXkW+JbU6PAk5eRiIIiDoMWGCgKZ40VwO8LrR3E5wu8DrQqnIh6YaDJOvRY5rJ2t1H37FxBTdUlle3z5mW1AcEYMGMG3o2en0dIVaqRaPuQEyfkf48EcRuhFq1DydC6/2hsDAGIYP8+0+Q5Ko++gjPEHBnO6uATA4fQkm1iFKMqrSNamRDTKq2nldiM3EziOtAdM6mpqbuXL62F71oyShG1JDd5Mt355VwVHW/3idprNGyzg1DYpqm9mZW8NfrxlO1rYV+AUFE/ctyyf0hD6RGn9/f4YM6fjA8PPzIzQ0tG15WVkZZWVlZGdnA3D48GH8/f1JSEggpMW3PWvWLK688kruvfden/rMycnh3//+NwsWLCA0NJRDhw7x4IMPMnXq1G7Tvy/gG0bkECg9AEnd+817Qm8T4qqmErZmvEeA3HqJtj8UW6X2QaOkJBN/0cqw8SPOahw9YdGoWD7cXYBdkJg6cXKv7UVR1N0sMpzcsQU/xc3w+QsJCAlj8aodXDZ9JLvy9hOk+XHdpM5igmeDu2ZdzKbMnfiZzVw6agaSJPHZzlWE+EdSWJXRoe3BU8eZNWRir316VS+qqrLsyxyS+gUzYWw0IUGdicfuZQU+j1OSZVLn6jPz8kMnObp0DUarFU3sOTOupqiS/EPZDBg/GL/Qji6/2EFJHFqzB7vcXiZh0Jh5bFjzOv3Sez/O02FIGYYhpfOzxFuQhTfvUDvRaf0rGxFkA4LBDLIRzBYEQzCmtDGIQZ0tE5LJSHNTM1Zbx8QGURBRu3mB9hXe5gqqjz5PUNK1mMKG4m2uoDzjaSJHPYXQRQaicB5dkV1BNJmwLFpEWP/Olsj6d9/2vR9JRlM6niO3y8W+LZtwu130S+9czHXK8M77XHdwHy/t/JyIwFD8jd3LgRyuyGZKkv7SPlGykrKmXECgpjGL+NDOJSMcjq7JYXV1Ln62dmu0IAg6Z/5Pyf+eA1onb4rHy7IDJVgMEnMGhPL+KxtJv2g6ovjd06dpxXlXFH7llVc6BOhOnarXunj77be59dZbAZ2kVFVVdbV5lzAajaxdu5bnnnsOu91OfHw8ixYt4oknnjivY7+APsBk07OfzgL1jdUEmnrWGEoL1dOxh8V076KqqDiB123AZui91szZIMKTw9UxJ8nKcnDxfN+3271sMVH90hg8vV07ZXC/KN746jOunTuTxPCesyl6gupxUbH/MyLG/KCNRM0Y2m7Gr7PXkVdZw5f7NjB5wPCO26oaZmPPs9S/bFyNn9GEJErUucu5ZkRPqa1nN+2MHJZG5LA0avKK2bRsOdH9Ewjrolhj7t7jKG4PoxZ0T1DSR/dn59ufUjm6kvCAcGRJpsnZQF1tGUE9uDd9hZwwEDmh6yydvsBgMeNxusBmJdgWyYZDX9Ia/ZsQfu79NxWsxlGzn4iRv26zzMjWCALi5lO29wmix/8JgIZXn0YM0tWlBWPXhHLXP1cSFNl+fxY3eWlc15Egn253Ob3QgpaxnYDUWARBwO1wMHBW1xaowsJ8qpZ8rG9/2ku+dcKitbgUgyKjsdj8W0ppgNfjYdeGdXg8bsZNn4nVz/dipkZzM9cPm0SAXyhN7q4tRZqmMTw6hShbEABlTblM7X93j/1aLEa2bPk1QUEdy7GrqpchQ67rcGyiwcXqtzcjG0U98ktVARWrfxiTLh+G0fLdEPlvJS2K4uWzjCIuHhJF4b7tOBrqGTa7Dw/DbwHnfAbP1KN5+umnefrpp3vcJj8/v099xsfHd1ITvoDvAOLHQe4mSOmbONza3KNcNqjnukJOr0KIpfsXsN1eRV7ePkaNvIJ9m39L5u4GWgMgu4uVaYVHKelx35Ul2ZQWZhCdMJq4QQvYs2wjDreCxejb7ETxekkY0k4ojp46xf4T+xg0QiIutPssIF9QuW8xRv9ICjf+lZCUWfjFD+tQByrIL4iHL+06E6M7aJrG9lPZuBUvI2JjmJ2mW0i/dm8+p7H2hvKDWVx2922Unijk8Nq9NDc14x+ov6QUVSU6Nb5LstOKmo9XIogiM6fN59C2z5h1sZ7Gf/llv2D1ipcID0sgOjqNA4dXI4sGBEHAo7iZMPZKQiLOnlieDfRwHf0qHJHSvZBbn/tVvFQf/jumwP6Ej3ikwzpvUwn2ss1thEbzehGDQrFdd1+PfQZFWhhwXXuBRt9VbiC3tIyUK7svVdCKqKR+pF91Xa/tKk/lcWyrbpHZvG07Fps/8y+9DFtg1+n9PUEURBRVIcjiR5DFtxITbk8Te099wvDYyzDI3T+P/APi2gKCARwOB1u3rmfbtu2MGTMWq9VKWLyNkLAhqFo9Ho+IIIoI6MKCRTnbWfr8SWb9cCFhcTbKnW4eeHUvcV6BEKMMgoAoCVx/9UASwn0b+7lAbFEKPlnWSG6lnWcWprPr1VdIGTW2QxbadxHfDVp4Af+d8I9CaSxlx46/6gGRmh4LI4oSsmREEg3IkglZMiCJBiTZhCyZKKhp4OOsnA7+6dYYmtZYzZMNdu4a2vXj1Ot1k5HxFZMn36yLws3+fZ+GnZf3YpfLFcVL1v6vsNoiGDb+WgCuMjazbanK6qNlXD4itk/7UVWVL7ZuIygggBsWXE29s47lJz9iRsqV+BvOTkFXcbuwmPzxix5M5dFl1OZuQjYFEjP5tl63bfSU8PL2jR2WaWg4PV6SQkKocTRz+7gpp6/sEb7GPXWFprJqDFYLklEmbkgycUN8i/Op+fBrfd9uD7Zp41DCLBR++A/qB0bxyfFPuHbAtYiiyPyF91KYd5CS4iwWnBY07HE7WbvmNS5e+LOzHvvZQC9T1PfzZfIP4dCGxbjtNYy55M4O65xVh6jP/4zQQfcgWyM6bVt78h3Chv2y7d+VW57DnNg7RVG95+IOO7+ulfDEZMITk6mvrSHnaCaBUTHs3b8fTdOQJIn09HTCwzurF+/evRuHw9FGJDPrMpGDZNIiu1YxPh0Oh4OcnByCgoJIDbyK45Vfc0I5SLBZf5m3qZBrGpqmUVJaRmNjDsePv47Xo6GqHprsx/F6nAgCHDr8ESHBA/AqlWiWIG666aFO2YC1ZXbWvr+KFe++ycgpi/AG5zGvbi9NFhGXByRFwFyUyL/e9pA4PAxva3B0y+mePjaG5AjfrVa9odVStuVkFVEBZvzy91BbWszCn/3ivO3jm8IFUvM/Do+nntq6nUhi6yykpWqxKQqbrfesnI3eGiaNvbuD8q2qeFG8LjyKA8Xrwut1oihuvIqTJmcjSXITVw5N76HXnrFr18eMH3/NWZcAUFTnacRGw+EoIMB6JdVlpxg4/FJMp83iEkKtJPopLN2dx8JB4brLR+79timoqGDzvgzmTJxAZEvts0BzEAtSr2FN7lIGR04hIeAsgtzdbrzeJkTBjDkwkZjJt1G0qWuSdibiQhv4Yf/pPu/qXMtb9IS8TbsYfE3fzdhSSBD2rbsx9UvGlBTNzs9eZPLNv8BosrIybyWr8lcxL0kvnBmfPJz45I4uuLVrXmPGzN4J4PnGqYwjJI0f3nvDMzBgzEygcxZU7bE3QRCIHNN1urq77iQGSwyCJFO2+1fI5jCs/YZTk51Jw8bniRxzAwZbu36Pp8yO6laQ/AwYRJnaA6ewRYeheTU0RYWWv5qigVf/K5glBEkEVdOrTasanvJmHJnVAIh+Mqakri0qTmffKl6LgoCmavTr168t29Xj8XD48GGOHNErkJtMJoYNG4bNZsPpdDJtWrsFuWZnDVdMuAKAurpqju3bj9HSGqQvIMkyaYMHc+zAAcrKysg8lkmeoQwAo6WeFGE/qIYWzeT2+0JAw+M1oniNJCU1YDJpiKJMRMQcJkyYiizL7Nmzg4qKLNzuROrr91BZWYksy6iqiqIouN1uysvLiRobQfE+C+XeaVAJ8WfUkK0KnYqy+yYacjvHsn1W1szDPx7Rp3PaE1onnNuyK7lifD92fPoGg6fNIjK5d22ubxsXSM3/OGprdxIePrfTC8zhKKSqaj0gEBg4EoMhqNO2mdWZ9Avs10nKX5RkREnGQGcz6aqMVUwf6XuQbFFNESW1JciSTKOzEXvlSSYOmY/RePYm2NR+D7V9z8t/lYaaBvxkgeETdPPxB/sKkU87H8YYK/X7N7E5uAg/WewQA9D6vT14GfYdPERNbBI3dhGII0sGLk67ls2nVlHnqmVYeOcgx54gW4OQjH40FuwhpK1yeffk7vWsNYSb9fiIo/YQpnbbsu/oa9p9KwrXfEYk9QinncfaJetwZWUjR4VjSk7AW11L8NWd1W0D503CW1JB8I2XoKoqbnsTxpb4rPnJ83lp/0tURVQRZu1a7dThtn+jZK07hMRGgUehvLAMZ7NL10ryehEEkGQD8YP6IRu6fxxLOTk0VT4PQIlpB045DuJH4CrLJCqqcyZKXe6HhI/QYw5NtkT8YmZgDErDljAHxdVM2e73UDzNxEy6A9lso/QPG1BqchEkAxJwfMVRjOHpXdpdenLvyjX1lB/RRdtyPPlEzRqIaGh127aX6zxcXk/h8vX60jOqZ1eWlvPj2zu6UEVRQtM6WpAMBkMHKRC73c6hQ4dwOp04ztCiOv1a9fcPwmgxMXpSO2vYsW4tR/buZdSkiwgpLKT0QCmzL76UyMjItrEJgtDh++l/bTYbfn5dP5OmT58NzObEiROsXr2DDz96sgM5EtAQBBHZICNaBQxVCQSFFWA03UrKsB+jobF5382oyUUkTGzGZDQxIXYyfgYzggB/vudvGLYU8Oo+I60ZeoKgfxAEXWYCDdXrQfF6GLXgUsZdOr3Lsbai9Zdqcqmk5K2nQlOZ+sNbe9zmu4ILpOZ/GF5vIwZDcJcPeYslHoslHk1Tqa/PwOttQJJsBAaOpLHpKFtOrUT2S2d+St8KxmWXZmOz2TBIhraPUTYiiRIGyYAkSsiS3Lbuy0NfMmvALDyKh5OObQzpN4Lg4HOLSwFwOIrJOvosqjOBEaP+jNnarp8iCQLXjWrfh905mMVVUWRH9ufOqd3PVJrqGtn71SZMF13Pwgk9p7tPTZzH/tJdrMz5glBLJDG2CAyChCzKiKKMJMjIogFJlJEECbElJiR84nUUbvwnCTN802EJN1u5IknP3Cpy7/RpmzacR0/Csa2bqCkuRLVXExEoELvgFtyrP0DsNwJD/2FobjdRj99F9ftf4T5VjGDuHMTqrW9C83hBEhFliaxdK+k3aV6HNncMu4OXDrzE/aO7Pj+XXPwz1qx5jbikoQwf2nURTK/HjdvVjLUlWPR8IHH0EE5lHMFgMWE0mzCZjQhWM6oGjRXVHFm/kxHzus8kVJKmsPt4DmED+jFs9n0c/vxzBg+5jMzMTzqRmqZTK/ALn9xWkiRo4O1U7P8tkaN/DYBkshI75S4UZxPF21/H5B+NIBuRI5MIv2sqCBAjAJKIIAkIsgiSgCCJCLLQtlx1KqCo+jq9miUIelC3K6+ByteXM+Dy65BDOseinPhyLZctnNnlsS77ah0AB3dup6m+HgCP10NEVM+p5H5+fkyc2HVQudPtZO/JPYxMGUV+zgki4zs+QybOar8WWi3ASUlJhIaG9rjPviAmIZH6tJto9iotxENoIR0SfjYbgiiiAfWaRkXFv0lwnWSKv37MgbE/wVj4OGKpfl1/bf8ZPximf1ech5Ed1WAdiKYqqIpXdx+1BFy3TrYk2Uhz3UmytoX2Smpaa6aNNFZQuGsTc+64F2tg0Hk7F98kLpCa/2HU1e8jJLjnlGxBEAkK0uu6eDwN1NbuwN9/EHMG3sveUx+x4dhzDIy5mOhAH3z1qoorzEVscCxurxuP4sHtddPsbsarelFUpf2v4sWtuLlm1DWEBYRxoHgV/UKTGRwzpdf99IYDGT/HYa8nJvJOEkf3HLAMYDZIzBkUyWf7irljSkqXJPDE7kyqi0qZ+oOLKT9U2kUvnTEyWt93RXMlRfYqvIoXFS+K6kVVvWgoNLhc5NS4GBouUdrkJafGy1hzf45s2sFXNSrzggTqZSM3d7MPSRD58tQOLk2cSLRJ4oUTOrGRS48xxdSI1qI6K7RYe1r/XXA0iqawEPZ+ndehP1ezi+b6IgLDbTRWl7BzyccdZtqN1ZXIJjMWWztJVBUvScNHkTpiKBVrXiX2yscAMF18M57Du7B/9CqoekxI6I2XAHrsjKqq1P77awzR4YgWMw2rN+M3djiWmWPYtfQVmopPMe7GBzuMzyAZCDGHUNpUSrSts3vPaPZj4aUPcjJjPcu+/Aszpt1CQIAek+FxO/lq+XP4W0MoqjrJrTf82Ydf0TckDu1P4tCu3bk5bk9bxWa3oujuHlVl3+IVSAaDroujaUgmI0NmTmjZSp+B19Wf4PDhj9r60jQNQ+1x0qc9DYCr+giNxWtQvXYUVz2Sqd0dJJltJMx8kMaCA1SFvoK5YRqGSCuSv28FaEVz968PsTWLp5s4op6sZa3rmurrmTzv/EgfXDf1OnZv386uE+sRzEIHEnMmvC1Cf7IPbua+YOmJXJ43hkBXp9d5+j8E8L+BYK2GVmq+MO0aKmKnY/fYyd03C4f9eFtrt0lEGDWHu+7rfqLjdHt476sv4OOTVObv5r1f/bGl+jkgCO2WLEE//9VFuQAkF6wlcdhIhs6a123f3zVcIDX/w/C4qxFF3y8BgyGA0NB2B8bkVF3AbmPW8z6RmlWnVjEnZQ5J4Ul9Gmd2xS4ajy9mWEB/GqpOnLFWpF0OvvXf0C4Hr1LfJNNoS2mbuYQEX0vCqAn0BYtGxXLbO3s5WtrA4Jj2F4PX62XnknXEpCUx8aruH5Q9IcIaToS1c7Cjpmn8auMJRscGsbfMjigIzOsfwtqcSjRZYNGoIDadqmFabH23fV+aOJFl+dv0Y0gc27Z8g8vF4KHdZ60FNK4lYU7n46ktq6H0pJdBU4YAnc9h1vbNhMbGE57YMfBXU7yULPkdMVd1lGEwDB2PmJKOuvhlnFu+wDylxfInitT+60sCLpmG6nCiOd1EPnw7ks3Cxjd/y6QbH2pzO52Ja/pfw3vH3uOOYXd0e3xpo2aSMvQiNq1/F7fiIiwqiaKCo1w8/17MFhsH9yynIOcACf1GdNvH+UJ0WiL7v1xHeVYOkgCCJIEoMnDmJMLiOmd/7fzoMMc3HiV+4hymXPRUh3U5Wz4jdrieglyV9TqyYCJ08H3dCvAB+CeMIO7yp9j7+Zc0PLubtMv74Tc2CuEbVIztidS0BeIC9UXHqcw9hKZqRKePwxaZdNb7jLXFYIq2EJbcfUYdfHOkxq3qz6m16bHEB/q3uLP0eCHQXXiiICII8LvDy/m4rmMZAv0ZEc4JZGz+vuuzVdTV8cKzvyEwv+XZqXmpyN6CZAylJbujBe0EVEV3GVr8A7j4np9/Ky7bs8UFUvM/jPxaK3uLdb+2qqn0j44nPa4vCZw6fCVGefV5XJzct5lXQ90panb/k/GTf40x+OzKCTjWLWHQqEt8bl/doonR5G6mwd2IV/UwJS2cMJuRJRnFbaSm+EQB2XsOM/7yGZhtPevunA3ePVLCFf0jGRcb1GH5+KjANutItdPDsWqFWV1Inbcew+llBFpxtp4lURS7lKVvhaoobW6P01H61d+JmNf1y1XyC8D/lkdwH9hM0+IXsV19DyHXdR9ErPhbuiU0AGaDGW8XKrOd9mswMnOeTnwq8o6SEDUQs0XPIBk+diEb173F8ZM7EAT9AR8cGMHolmDT8wmrzcrk6y/1qa3T7iH/sw1UR/ej+ERtBz2Z5uoSBFHEHKRbvczWeGRLRI+EphWBg2KIaogiNCeUox+fIGxnKfHXD8QQcZbX9ekiNn1Eo9PB1lUrsAUEUJl7iNSp1+BxNFF0YP05kRrJIvuUsef1ehHgrBTyT8eXx3PYXalreQlAVrMLDDZsJgOBPchVAEgCdNbw1qFBh/gic1MDODoHXiuKwodr1pD9+ceYmptIf/BJDmfsQd60EmHuFTzw49u77l9V+eUDvyKyoppL7/8lfkHfzRpP3eECqfkfhmAex5Qkf4Ksuj102Z61Z0VqfHlyub1uFK1vqaIet53cjDcYu+C9Ll+UvqIvAa3V5fn4Ve9jSU4BfkYTgUYryY6jGKQJXDY8lmUHinns4oEcXLUdo8XMtBsWnvW4ukONw82L+wqYmhTaidAA1DS5WZtVjqZBVmUDx1zBhIVsJNhoYVRYOuGWduXd3x1ZzYKoJPLqi/AzWIiwtgivna2qaS8/Q21JMf3Hd1RfLl/3Jv7D5mAI6Dk+wThiKqq9kaZda7CN7xwk3Aqb4fylrrYiIrlzwPb0WR2zpEpOHeXr5f/okCL+n4THrbDmT2sRrRYERByNHZVs8/auZtCcdkekwZaAu/4k5nDfKqALRomoG9IJGh9N3kdZHPjzXvrNjCd4diKC4ezuv7O5yqwBNvpFCzTXl1NWmEsqIBktNNVWoKnqWT8L9GD+3oU6rVadyDU1NZ1V4WZVVdlaUMwv8iqoM1mQFAUE0CQLNreTYB/6FLt5Zq3MXoIBL0HWdq0Yg8cF+7Z1brtnD+Vvv4AQEMwlT/+Rr5d/iXHrGprHXMQvbrqly/41TePzV18isvwwsZf/mPjB/32K/RdIzf8wxieHsOJIGQuG6rEHRkkmuzSX1Ohupv3donfS8I/9/+C2Ib6n0mqqypEtv2fI1F+dE6EB3/RUVFXlWMaXWKwh3Dq/o4ruoRP7AFg0OpZ16/bzwUufsfDKaYTFddYGORd8cbKcvHoHAgKPTEjGKHc9U1yVWUpKuI1wfxNDUoLJrY/g0pRwmtwOdpUfos7jxiIZmB03mh8lD8epeKh1N7Gm9Ch3DpwLgMfZSF1jFR6vB5slAFEUMUjGHmtbARxcs4/hszpLxbeisiAP+TSl2qrdyzBFpOCfPKJT26P5hzlQdoooP//2jJoAG+q+LMY1/Btr6gik+P4IZ+EGSApM4pkdz/Drib/u87bdISZxEEeztp63/vqKTS9vp+loNjP+eDOLX9nQwT1UengTUanDO9wrBlsC9lLfBBRVRWm7i82pQQx8ZBy16wvIWVuAbV85yT8YiDk1yOex9uStUFWVkydyWW/zQ1FUvF4vqqKiaiqqqiLkbcV/+C1EDJxIv4v0a0mUJFInXkL25sVdd65phCYMICSl72nzrXDUlKEqXsLCwhAR2bljJ5MvmkxwcN8sFR8fPcGDlU4wWViEgxdn961kB+gx102aHyVN5R2Wn6o7hpk4JkbNJdvuREBDEUXU/rpgZnVDI96Wshsx4eFkAQOvu4WQ8EAMW9cAEBQWTENTJadXbmvT81mxgtyNK9kZNYP3r+lbEsh3BRdIzf8wBEFgaGwgBwvrGB4fxMWjprPj+F4OnMrm8jGzMHTzUu0rDlYcJDkwmVCL75kER3b8hZTRd2IwnLtbx+3o2RWhKF4O7/qI1MHzsQV2TgXWNA1nUzPVm7YxJMqPj9VQbo7tHANzrihpcnNVWiTxgT0L8ykaJIRYiQ6ysLeiAZOsv8hsRguz4vXg40Z3E2+eWM8lcUMZEKzHtxTYq9v6SIzqR255PgZJprEsD1XTaPa4eywyCmC0WGluaKK5oQnQz43R04gk6ZkboTHtWSUNJ/eguuwEjbscAHtzA5X1FXoVc01DQ6Pa5WJyYjqJ0e1ZZZ4BEzi24h/0L7Ti3LMe1I6za7HhOAc2/ZVSy0jiwmJIjIojwNrRejMvcR4ur4tDlYcYFn7+Zpsavc/0vymoXg05JJiolMC2AFzFq+JxOqjJO0Lq7DtxNnkAMPnJiEYbmuLsqcs2uJxNGE6TSRAMIiHzkvAfGUHhh1kceukgfkOMJF42GFtYQA89tfUAQNPWYgyR1lZ/Ckq9C0EUuLH/VBzVbiREJE1D0EDS/SqUNYkc+turxBOMRTKALGAYNZ3AK0aQNv3abve4b8kL1BR1jLkLjk0ltN9In85BY+5xDAGBuGpOMGiAP7n7C1iyOw9bbDD9xw9m2LBhPrmkqhx6CYY344OYldj34qoAgbIBTRAZtefMpIOFICyE3VltS6Ivv5V5eetZsmkTeS91Dm5fWbyD3y15kJCLDFy2NQb3yi95b+WX3e57d9h4Ji28BLPh/Dz//9O4QGr+xxEfYuV4WXtBwIkDxmB31LNsz1qorGRCYEOLzC+0Bt5mCf7YE/q11Xw50mDkwPHtHYLJhNa5t6ZRU/Ia02PHs/nEy4iC3PKRMMhWJEGXAJdEI5JgpMYViTvnCyLD4/F4HdTW5CDLZmTZgiQZkGVLh7IAvsDUQz2Vwpy91FRmkz7yyg6ie6ejMq+GxrItTLpmLoZT9Vz/+k7WZ1UwK73ngMO+4s7hsfx6aw6PTkjBr4eSDF5FxdhCZDRNo6t4Tn+jjdv7z2ZT2QF2V+aQ6t+RrA1I6OxuWX+4vRSJo7aJmkxd1CwwpR+SRSdaQ6YNoeJURVs7V00DzqzjRAyJQlUU/Foe6I6yk9hPbCN64QNtbbed3EtqeDyiICALIjazH1emjyYmtKPsusFoQo0fgHnU5V0e/1igYv0yUgaOpqC6jG2Ze3B4HF20NPJZ4ecMm3l+SM3BvSvwevte2fp8QTQZMbbUoNQ0gc1f72Xz13sJMmYT7lHJXfsPNAS8moGwflEkDgqhUXZRkfFVh/pMegew6mgZyaFWPYVZcSAGDiL7SCmaBsF+RiakhGKIsJJ830gi9pTx/JKluJ5fxZiYIQybMJK4ocndCmBKgUZMVj+yN2xrlVMGQNUUJKtJtzKJAoIICCKipJcNEEURURhOVHwAQUNTESwSzbtOohRmASN6PD+jr7q307KTmz5tIzWapiH26D8VCO6v7yN8tIukg7spLy6iqqiRo5/tRBRFhg/v3RJk9yqAyNzkeAxnGZdzW//pxFr24j3DTexSVYqUAFRDJCqwpOAwzWYbwbKX6mq9nmLMj9vVsg0GAxnqbrQSKxdPewxlQBVxThfG0x4aqqry2ckl2D12wv1HcbhsDK9M9k3h+7uIC6TmApCljm9FP0sgV0+cx4rF64ibdmOn9vs2bOXypPa4idO/n4nNBesZMO5PRPpF6AqaqhtF8+JV3bi8dlTVi4qKorhZkbGTGtzYhDhirSFUVh9HVb14FQ8er1PfVvGgoXUQvbNmB5MedVrxwjOCFO1VVRxrebCfDk1ViIgd0ia6dyZUVeXors0EhPdj3AI9pXFCSghjEoN5fn02MwdGnJesgBf2ncLuUZiWEMKjE5N542Ah949JaltfWufgT6uOkxzmhyhAo9ODv1l/u7kVFWM3LxaDJDE7VncV7a44jkn0vSpz/JTxKC4HdcezqTxWhn90dNt5tZ5OXp1e/Pr3J3bqKFRVpWTvLoq2b2fl0eOk9kvnybVbmRioYgCskkxKTO8y9T5BFLFZLAxJHsCQ5B7iwLa3f1VVjc8PFFPv8KCourXIq2qoqoaigqLp372t6xQVRVURHeWksotJo+cxfMz5STHuK7wehdod+0i8Tr8OF901jboKB6IoIIgXtfzVScK2xdlYrQEkzh0CdJ2Rl1dl59MPN+OvCrgEDQgEalo+Opb+ZhbBfkYEUaA0pInW0pWHS4+zd+kRgpbZmDJ6EiMvntCJ3MihFob94eq2f2ua1kJsBASpb/eMJ6cQzff6xx1w+u2pehUMJt/uAclgImrMFKLGQFFOFuVfvEFQUO81rTRN4zln+7nwKgryWRAbP4OFq1J6l6/YWbqXHM0CB0ooObEMG3D93Lkd2izdsBtBNPPosCvgDH7f5G7iF5t/wfHwGn4x+lc8+0kAN01MINjPt7T+7yIukJr/IdhdXvKq7AyJbU9J1jQNl7ezSd3R7ETqxv0k+xjjUtFcCWhE+umxJ3pVaTOtjxWbqV2mfd3hbUSEpoPLw4/H9e3Fsc+zFfOk7vV2rLslEoZO1jU/fERtRTE5hw+TPm48fv7tPnVBELhvVhq3vLWbbdnVXJTWhbuqD2NXVRW3ovHIhBQ+PFrCypwqBoZ2tBj9bc0JHp7Xn9igzq64T/OreHxE78UZx0X0HgB++qvGGq3HWYl7P8d/+HW0HpWmdjw6U4g/AUk6oRRFkZS5C1m2aj833H0dFpsVqbiWKqcHj6qRmXuI0NOsQWpLna+uXnFhFVlAZ0uNpqqUfvYSgskPfZrvO3KrmvjliveRBAuyAKIoIAogibpOhyjq6bWiqJcZdHgUjFUVhLtcXP3QYyTHBfVpf+cTBUdqUNwKaeP03yUmLZiYtM6xHnXlzTia3Fj9e77Wk0Kt3LgwjS+/zGbRxf24YWISAvrvseZoOS9+eKStVpXT6WTT2u2ERPtx2z13ImhwYnsmu3ft4ss9q9m1fzdzZs4mbVL3rhZBEHQX1LcITdPOKj6vqtFJpVhPZGTvllnnafdH/ObD2NxO7g0ycd8Y31xXvkJVVZ48soE8l4QqasheFcnrpj6pc4aonqDR+bib3E08vOlhdpXt4qXZL7HnaDgeJZvbp/Q1pvK7hQuk5n8Emqax9lg5Y5JCWHu0HJNBZHK/MFYcKWNq/84v5vXLtzF9XtfCdOVdkKCusPzgx9w87qe9tjuYfwSnVyOrvoFfTJ/ba/u+InjwKGqO7CZ8ZPcWpdORtU93pY2Z1XVa8dS0MIbFBfL8+pNdkhpfkFtr5+vcKirsbq5J10nB9YNiUFW106w3MdTaJaEBSLaZibCaulzXV2jolZzt/3oaKSQMEKA6l6A03wp5up0u1mUUcfWPLsfSkuI+JVZ/8WqqysFTVYwY6mMF8ZrdXS4uXv4poVOvwhLZs7psVzBIIppq4u0f3sCkfj3/bkdLGvjTHz+kSU7myZ9fyeBvkdAA5G45gTUmnOCo7suDNDe4+eTZPVhtRsZd1vOLSRAE7p6RSnmNg+WrcrmofzgjE/TfKsCiEyKvorBz5042L9+HqqpccdMcDC0Tg0HTRzBo+gh2fb6JFQc28MHqxQSs+Zr7HnkAQxdq0OcEQWyLIfLWOWnaVoTmdIAo49p9AEkoRzRJutKxAFpwCiE/mY8gCrgcdrI3fwpAQ1UVof6xeMuCoM0h1woNZ3EV6qjO919FRRl+fjafMqEsksju0ancty2DXeYAmoxm/tAM/1q1gxvCbASbjEiCwKiIUIZG9T3R4I3sPeyuraRRUdjgiAfBg0nK4J2Ly0C2AMUsfX8KnG7NVhsQDB33dbDyII9sfoQ6Vx1/mvonhoWO46fb1nP9uATC/c/P8+TbwgVS8z3F7rwavIpKRIAJWRTJLGlg5sAI/M0GYoMs2F1eluwvZlr/8DZXRiu2rtpBfFwYfgFdp85GG2QcTieWHm7y9zNLiAmeydf7N3a5Xq98IgACRoOBvZUNPDn7bE37PdtGjH4BiEYDFXs3nbZUf6CpHg9RE2cBYG+s5djunfQbNpzg8O5fmoIgcO+MVO58bx+782oYlxzSbduu8PyuPHIaHPx8QgoJ/h3PYVcxCj0dXb3Se5p8fWM1OeV52F3ODplgp9ewEgSB3NJ9WN1ZOD3l2CJHY7MFk3bpPb0fEFBXXcfKL7Zx5XWzMFk7XxcnD2whbtAkn/rqCebQEFSXb8GvZ8Jq1B93za6ez1lZvZNn/u8DTFERPP+zBUT3Erj9TcPjVqjZuZ+UG3p2fxQfr8XjVBBFgeKjlSSPjETsJdj/V5cP5ubcWh57ZQ9vPziZ6HA/REHATxO45TfrmCLnM2RCEjNnT8ff37/DtgUHc1i5f0MbN2jQmlG8Cr7bQ32DYAuEw4eofqYK1aVgEE6hhQ4H1YtsFRD6zcMQYwOvSvPBSqSirbiyJyAFmUifcRNiS3xaY/5XGG2JmMK6KWEyppv9C2Kf3MwJATY+nz+F/JpakkND+PxELv+X08Sf7YC9JSarugQxswij6uXLoUk+E5zf5tfjEiMQNC8Sjbw3JIpjNcns9r++U5anqNsfEQQYE95uRcuszuTO1XeSGpzK63NfJ94/nlc25dDs9nLXtP9uKw1cIDXfWzg8ChNSQqhsdOFwKywc1lEy3s8kc/XojvVPVFXl60/XMXBwMqlDUrvt2yD1bMKtsLuobHZz49hBQM8FG1VV5XfrVvLQtFlnXXXbF4QOHtdpWfXhXbp6K5CbuY/mxkaOK/0pyVYQcgrbFN79/QzMGBbVYdvZ6ZEMjPLnhQ3Z/Cu5c9894Ucj4zlWY2djfjW1Lk+POjrVJw9h8Ch8tkFXDa6qrWf80DRGpOkuJ0HReO5gAXWlJQyNsNAaDuqpKyfE5kEy2wg0W+kXlYTNEtjpHLfuW9VUAmt3M2jYTXgGXIezuYH6+gre++ixXssFnDqeT8be41x7y8Xd/obN1cX0H9W9gnEnOGqg9BBEdwwCCJs0h/LVn+KX0P3D97NtX7fFUgRbg9qWW1tebs2enknNV4dKkBx2/vnQpW0aTt8mTh2uRnUrpI2L6rFd6pgIjFaZHYtPsPLNLBIK/snQIQb8EqOQIyKQw8MxRETgCQinqkag9GQt+UdqGF3q5murwi3Pb2f5U7O4KDWMv8aIZFWJvPPgtUR143ZxNDWjCXDx8BkkDulHVNq512TrCv5TE3GE/QzV6UVzepGCTNgmdD3pMKUF0/DqdhrfeVdfEBBN+KPXAaB67IjGvmscWSxWXG5Xn7YRBIHkUH2yc0X/FC5LTaKk0Y5HVThRXceO8irKXR6WyhZONTT6TGpURCaZS1gyqT3demZkGvek92zhrnJU8cnxT1iRt4J95ftID03n9TmvYzVYcbgV3tiSy9Wj4791An8+cIHUfI9hkiXign1LiVY8Xj59fxVzFk4kNKJny4PL66WiogpRlJBEAVESkUQRg9GIQZZ5JaOYxyf5VqL+n1s3cOuYcdhMfRe5Al01U+hjbIW7qY7qjF0EpA9GDQzmqxOLceUnYQjpx5D+NoYntccquD0Ka/d3ruUkigL3zEjlvg/3t6XEAxRW21F6EbazGWXGRgUyNiqwx3YAyqh4luw/zKLRetaFoqgs2bS3jdQ8OUbPUlhSW8FVo9ozM4r3rSAofgh+EYm97gNAREKWDRgMVgwGK1ZbECERCVRW5FNTUUBIRNdxO+vW7kN0Objyhu5rw1SVFWIJ7vmF3Alz/w8OfQhHP4ew/jD0WmghTL0p5AoIXDWps9XP0pKi2uzqOcU/3N+ER9VodHq/E6Qmb+MxrInRBIb3fC8LgkDi4FCsVRKffAgBDaeoKQyj5GAhamN7hqNXNJI5+MeY/IzEpAUxen4iKfV2Hl6XxYMv7OSFByYxK8lKVlU9D3ywGwEwySJ3zBrE5MHtWTGhseEIGuTl55E+qfcMM2dNGWWrN2JLTyBkaOfg4u4gBRixTehcx6srmBIDCH3ipyhNHux7yvDs/KJtneptQjT4ko7eEVarFY/bjaIoZx0XI4oicYG6pSs5OIh5qUlklJSx9HgZdxQ1MLdgG+/O7t09rmiwu97BWzl7GRwYzviw7u/vE3lHWbn7C7YKeznmOI4kSEyInsCTE59kftJ8rC1yGR/tKaC22cNPp/n2zP6u4wKp+R5CVbsT2O4amqry2fsruXTRDPwCuvfZt2LqyKHkFhajahqqqleB9SoqHq/C8cx85gxLR+7FmgPwfsZOJiUlkRB8dnEpAE5nM7LRd4N3zdF9eJubiLxoDgcrD1BZlMH81CuQ+3d9Kzi9KrLc9bEsGBrN39ec4Pn12bxxyxgKKu1sPVhOWeLZEbSuIIliW20YAEkSkcTeH6yS0UJ+xjpM1o4ug77odgAMGjKNg/tXMTmicxZc9ZtvotaDMaRncbJT2z8jfuIiKsuKEVuqE59pzrdYbZitp117oggjbtC/F+2Djb8HyQTj7+rU/65jByipbSeeDc6GTm30LgVMsojd3bOlZs6gSD42m3n4z0tJGZTChKEJzBkU2ea++k9C0zTq9h0h+cbeM29aYYyLBY4T8dM7SL9Br4Steb14q6rIfu5d+Pwdhj05luDYgLbfYQCQWVjPWydLGbw4k0npsSw7UsmpenApUOM1svG9o+x9NJywIN3aEZYUxfwRM1h3cAvPv/Qil09bwJCZ3asXl63ZhHwgFucBhVNfLkMaohAyfgy26KSzPT1dQrQaEK0G5HALHoW2kiKCaERTfLO4aJpGWVkZHo+HpiZdk8nhcGCznT816xFREfyuopq/VdpZJ/gWxyKoTXjNA3i8AAxKLoWz20mNqqpknjzAqgNfsb5+C4WmMsyqiQnyKG6Y/Dumxk0l2NzxXnV5FV7dlMvlI2JICD3/pV6+DVwgNd9DNDq9bcF+vmDV4vVMXzDZJ0ID4B/gz/DBAzstdzY7qc6pZOLozuvOxJoTRwkwGxmXcG6zA4/HjexDVpPb3kD1/p349+uPtf9gVuYsJTlkEHNTelbNVBSVgqJGvnQXAi2SPUJ78eE5yXqw9Rurs/E3SPxwdgp/zy87p2PqDRXVNew+lse49NO1JDqShKih04kaOr3Ttic2fNQnUmMLDKeqvoy1q15rW6ZpCsEZuQxaeCNzhg/n8Ppd7PhoeZfbq6rKgfJwzKnlegxPCxE+E1m5p5g0tqNScWx8ip6tEjda/zjqUHe+Qkl2I0r/KUTH62S4uLa0S8tMVzAbBBzuni01VqPMHfdfy1er9lF/9Dj/XruFD0LDePCey5nYz3cByfOB5gY3Xo9KaKzvL9PWOJrTKwIIskzJ9qM0b9+KFQgIM3cilk/8aARZf2jkr3vyeS1+MBufuAyvqk9W/vb5Tt4+ZKfO7mgjNQDjr5zGoCkjWPzmh3y5+Wv6jRmA5YznSN4HH6KViBirY3D3KyBgXAruLQ7EnfHU7MqlcsgOYi6djyng/NYYElonVooGsoBkDEBx1yHTe5B5SUkJn332FKrWei7P/6tSFEVuHzGY7M27+ZdH5Dfb93FFcjzDort3RWVMnUF2YxWPHzvISVWXydh3ZCcbjq9lXcMmSuQKbIqF8Y5h3FZxBVPHzSF4eCxSkFkPpj4Di/cVUd7o5O7p3Ycb/LfhAqn5HsLhUdpM7b3BZW8Go4GIyHN/oKz8fBMXXzm913ZHSks4VVfB7eN6b9sbPE43strzsdYez8Bd30DkxFlk1R6nIP9rZiVfiknu3bUQbDNx+2Xdp0NfrMTydU4F+6saePGHvtXYOVf8ZNEclmzcdwap8Q1CD1ae7tRyL7/84bbv9sYa9nzyIgPveQRri/ry0JldZ8kBbP56G9fPnERIVM9kICw8gma7ve3fe4/nM+D4LvzNxjYiKclGLOGTSE6LoLCshhOZuQQG+3cIeO4NJlnq1VIDMCM9khnpunUkv8rOH99ax8vPvMrB6y/hrvlD/2NVi+srdVHBgPA+xDq0uEjUM4LIqz77ElN1Ic1DZyB2Yd0URZHX7p/ItN8t47almbA0s1Obrs60f1gg8y67mNc+fpu8jJNEJEeTteswCAKiIOA4qhHp70IYWkT41LH4x/cnbPhEHFWllG/cgrQ/jLKsXYgTHMTMXYBkOD/ZN631qjSviiCLCKKMpnp82tZoNKJpItOn3U1sbCwmk+m8WmlOx9X94tl2KJuXBT9eyioh+GA2wwWFWeHBXNE/mXBbO0mMtPgTafEn7uRhTni8zHt7FmWyLuKz0DyLR9MuZrRpGA0fZgPgXl9O+fpyTKlBhN/eMUDao6i8vDGHhUOjSY34Zo7t28AFUvM9w5HievKq7AyL6z1eA+Do1n0MGnLuvtRj+4+TlBCBydLzA6mqqZnlWQd4ZIbv5vSe0EwNzorjVOyt62KthqZqWGPi8E8bxtr85UTY4pmfetV52TfoQdM/nZbKrz4/THZFE0lh1t5qPvYZqg8vbV9f7D29i4VeRl6Sc4jcnauZcutjSD6qOjfZnb0SGoCY+I6BvzlNRqJTookKaY+BOPz1G1SXnmLwzGsYMlqPsagsq+XQrgMs2b6E6UOnE+LfczyYSTbQ5Oxb9lRSmB8vPHwpf1iewuYPv2LaiCTSo/sem3E2sNe6ENCw2HyP7ZFaLBSa0vGaEEQRt38Eoz99qdttbX5G/jQ/hTfX7ABg9KiRyKKALImEB1pJ66Y8iLfF+vXJxs9hY8v+NAFN0MAAQ8P9WHTDLzpsYwmLJunqa2meXkLZso2IW2Ip2P81pilBmGNHIBokRBEUj4rq1drMo6Is6po3qqarEtMidqSplGVnExTmj8FkwltopzHyEI7tvwWDgNdVhiXmZsQG/YWvaRqq4m0nf0JrXwJeRT+eotwccNjRdyHgqKgjICAca2CQbhsVBFxuFw7ZoxOnlhtMEIQWXS59maIoaJqGJEkdCLEoioRIEu8PSqDe42V1URnbPU4yJDMb6708tes4Mc2NDJdgWkQIM1KTMRoNqMUSQojIUGE4P42awaj+kzEYDAiCQJMGyg/7g1tF86g07ylDbXCi1DtbhEv1Z8rXh8soqnXwm8sHU1DdXuW7dXgBFgOBfbD4f1dwgdR8z1Bc52DOoEif63ZEpiVTXFRJQurZZy54PV6OHslj0U1d67q0wuVReGn7Bh6d1X0F5r6iUSvDOjKOiPDui8bl1uWRlfM5UxIvxt/om4utL1g0OpZ/rjvJSxuz+e1VQzF0VbfgLKCqKn9bvoqk2M7m8tBAG4s37Gn7d3FZpU99ur1Oyop3oyoeFNWDpnhQVQ+a6sXraep2u2M7V9BcV8VFNzzcbZuuIPkQWwWw5XAupyrq29o3NLsYmtwxuDh91g2oXjdGv3bCHh4VzM2XX4/H62HdoXXYHXbiwuMY379r65FFttDobu5yXY/HIQosGB5LxpL/7EM+Ji2I/aic2FXKiDm+BX0LLe7YPdsbObTjQwJdpcQNjUQtL0H0QRpy1rTRSE1eNu5ZQdPhdW2/SY2m8dtNy9raRUZGcueddwIQOyiJK8sX4HI40TSNyIRokkb1p7j4EK+/vpiAxO7vO2tYDCk//iF12Yep+aKUbZ9ChXe/T8faFcZZ7UQb9TF7w0ewZcVyPFpLLI32eIe2EQ12EqsbqPKzdDozg8L9yc0U2BvTd02kc4HRG47bm4TR2ogaaqY01ERxqImvGxXYrxMywmPBqbDkxByWnAA27Oq942fXdbn4tnf2drlcFgWOPDPvv64G1AVS8z3D7PRI1hwtZ2RCEJEBvQesxqTEsXvXUcaewz5XLtnI/Mu7V/QFfVb0980buPuiSRil85dR4vI2E2TuOuVUVVU2Fa7FKttYkHZ1l23OB0yyxF3TUvjd8mPcNDUZcx+zsbpCbnUN6zOzCAgI6DLle9rIji6xqvruCcnpyBJhrLsRUTQgSUYkoz+iKCNKRmKTui5mueert/CPiGX0/Jv6fBy+eobK6+xcNXkw1h6E22STBUxdu2EMsoH5o3RSnVWcxWfbPkOWZGaNmIXNrJvWa+xuVMVI01mQGoAwm26FrGx0ke5bMs45wy/IRMTcizjxznL6jb4N/5De72lTiI3BkZXY6z3kO2OgqYF+b/0OE2CPHezTfqcvHM/+I3upd1RiNFqw2fw6WCGqqqooLy+nvLwchyMXqzWQuNGnx4JoVFXlsnLlRxgMGpMn9S66GJQ6FP/7B7Hp8Y+xeIK4aO4g0ECSBd0K0tJOVVQ0tWNsGy0lLtYsy6PIr4So6QNAELCZpzE3dI6uXC2IHavQCwIlDz+M+WgWAX4CmthC+Vr6DDrQTExIFdUBFwEaiqBCrEz0qEH4BbW76z9bugR/Pxtj505C09pF71RVbft8/fXXACxcuLD9DLW0VRQFRVHaYs3eWaHfy0+ND28JctZdicfrGzBERWI0mkDViPF46TdHj19U6f5e0zQwBJmQ/I20GrV25dXw8sYcnrlsMGkRtrbCYC01RfnZR/txuBWMPk5Kvku4QGq+Z5BEgehAM1IfrAUD+kVz5OBJhgzve12eguN5hIQFdivU14oXtm7m6hHphFnPbzBgjUehuPwAJ+vbA3lbKszQ7KljfNxswq1nn13lK34wNoFXNuXw5zUnuXhm0jn3l3mqkCtGDWd15nFyy8p7bR8W6JtPXDT7E588y6e2qqqy45N/kDx2FjH9zl+la4DahkZKapr0GkyqRnF1I0oXAcRng4GxAxkYOxCH28HaA2spq2tkaVY9x+ubEQSFSYlnV38qOtCMaJB55cWlfBkVjGi1kDYynWvGJBBo7dqCo6gaJXUOYoIsfbonT8fEG4bz5d6jbH5xCwuemN1rPI8oikx/Rtdm+eK+9/G3HUOeFIFp2Ej8jTJFrzysRxFrqk4UWr6fxhBAU1kku5C0HajNBqLv34Vsas+Oee211ygpKeHll1/uZfRGgoKasfZy3zc3n+Jk9rNUV29ElX6BLbKK/vP77qJesyyPkspIvvi0GNCISFAJDLfi9bhprjvBhCvmEDeoPbakZvJkyMzCPGsWqT9/CL+odraae8WP8JTmM3RiDMGLuq6hBSAvkwgy+TNsWPf3yMqVKwkICGDs2N6njwN3rSCrRuX2eaN7bXs2aHZ7+dXSI8wcGMEtk5I6rW90eqhrdvPUJYMQz5PV+T+JC6Tme4gau5vh8UE0OD0I0Ekx+EykjxvK+s838vWJAixmI5Nmje1SFfZMaJrG7l1ZXH1zz5knH+zbw5jESFJDfZPb7wtK1FAWJs8mzNTxpX7K4eKE3ckhh4Dg0FN8z+b2LHd7uDQ8CL9elFktRomnLhnMT5ceJHpgMDfFnhuRslqtbDqRg1GWSAgP5bOMQ122a30NdajAfNoyWRKRJAmDJCFLImX1vqW0uh3N7PzoOYZechPB4fG9b9BHHMwtZf2RYkRBfwlLosCXu7IwyhIWo4zVZMDPbKRfTCihPmblnQmL0cKl4y5lV241r2xaQwoWLAEh/PqSswvoliWRB355A19uPY7L6cLT2Mj6t5ew/lN/br7rcuYNjmojHKuOlPLVJ2upLqlC8XhImTaB3986Ra9O3UeYrAbG/WwhO598m6Nb0hk81XdXsabB+KjFWOVGmmsL0FpUvDXE074L6LWBhPZrSBBRkdFkP0KUbPLeu5vk299p63fRokVkZGQgCAI1tb9BEGJJTlrUaf+CIBATk97t+EpLl5KX908czgL9WE3RoAkYTUE+H+PpGDhBo65ct3Q0N3goPxVIRYGEx74OxZ1JQ+UJbvv7K23t/QcNokaWMH6xnPygIAY//kTbOlP6YFwn9lHxp993S2p++5vfoKgqUXQda9QKSZJ81rgZECxSVNc3sb++4J/rsqlqcvHvS7t20TY6vagaJIf/dwYPXyA131PYXV7e3ZbPlaNieyU1ADOvmA5AU30TG1fuwOtVECSRkWMGEp3YtU953+b9jJvUjeR4C9afPIGfRWNiQu9p3meDWlcjAXI7Adtbb6fG4yXRYmJ2aMA5Z6nsrmvqJieoMxYMjWLcgUJWHyyleXjiOemazBp47tWsVVXFo2q4vF48ioJbUdjS2HsAeU3ZKY6s+IAJP3gAo+XstSu8Hi9iN0UMp4/oz/QRnYvvOd0emppdNDnd2J0ulm4/xu3zu9Gv7waNTg87c2vYcryUQ8fzqGxoxioIREZGMnNU5332BZNTw5ic2k5YKxqc/N+7m/jo2TcouOuH3DwxiUanlzf/8TGW/mlMv3kSu7KrGLBtB6e2HsY8OB3blHSsQ8MRLb5fH2Hx/mC2UFNQA/hOaoq8MaiajN08Hb9Hl/W+QRfI+9e9JOa+T8m2D4mZrLuRQkNDmTNHj41buep+TKbxjBnju4s3L+8FThW8iqI0AxIhIVNJTX0Uf9sATn79EYLgW5bSmZh1a7sV0uv2sH/1Dg6vW4ezVs/kUr0d0/nj5i8gbv4Cjg5MR3W7O6yLffZh1MYmmneu73Z/rdbFlH49J1sIgtCnLL3zjUNFdbyzLR+rUeLD3QXcNzONxNDzH1/4XcAFUvM9Q6sPNqOgltGJwX0uTmYLtDHvKj22QvF42b/tIAf2ZLVExAu6HxsByWTkyLECfnbRiG77OlVtZ395JhOSI9hWvK19jN0EK/ZULgB0KX/xtHiVWnczJV4/ttY1IwAeTWOIzcKYwPN3szYoKv69WGlaIQgC98xK5bYlB/nnumwevfjsiJyqaR0E984WoihiEvWYn1aE+Qd1s08VVVHJP7ydypOHmHT9LxBFEbU1/Vltd7irHrU9nkHVQNGzzNA0XRtFUdFUjROZJ5A0L9nZ2R3iC1o/rXEErXEFXq+XtZml7CjTmDNhGF5VIze/lsJlh1AVDY/Xi1tRULwKHo8Xr+LF4/G29KNwoqwRSVAxCKBoGmEBFob2T2bKgGgm9gslwAdy31dEBJj5x33zeEiSWPPWEta/LSAbJEDgt7fNoHBnMYk7DpBaW0HA9Tfhys6m6uWlmPonEf2Y7+6V7e9lIBoMjLmib9eUqLgQVW+fKsefiYTr/0rZ3/YQtOZBGhJHEBB3puXF92u1uTmPjP034XKVIkk2EhN/Qkry/YhieyyVpva5AHsbvF4vh9bu5siGjVQVHEBTmxENQcQPmUd5zhY0respiiaA1lUdNUlE07qXAAiTAogJjmLUgu4TFbocp9tD4a5s3A0OPevqtFMYWdpMonZ+X80bsipZsr8YSRRQNHhrWx4nKhqZMyiSmQMiu3Wf/jfiAqn5tuBqhIoscDe2+LNpfzac+f10dCws24a6ulq2VhjwS52EgP6uKa5tZlLq2btBJIPMmOmd/bqaoqA6HEyYOoKaZg+qpuFVNWqa3FTbXR2sIw9ddOVZ798XXPKN9g4FDhdHmxy6oV5oLRKno/UwdSO+vtxjknjU/D6zD+3kYPVkLAaRlvc9agudUzVdEUZVNUDV/62BisCfQuez3ZpGnFHGJEl6CibtsUKa1vLvMz6qplHvqiXYvgazWouqKaCBoocQomgqmqriEv14e9c9OolBbelPI9Idyh1HR5FU2Ei0/0iKVrxx2lnQ2o6y4wV55kUqdPheoXnYHRnGRy2us64ucY2W9FdBRJREXB4vQZqRf+8qQBQEJEGlqj4bWZKQZFlXVJYkZElGliX8bX76OklkZ6mCogn85ophTE0L+4/ORP9w10wOLRxFVlkjJZUNXDMhhYRQK0U7Skm3xeH4wTxCZiUB6dQuPUH9sjUoDW6kACOaoqE6vYhmGaELy1bm5iLq1m5m8C9v7FNqN4CsuhFQz4nUSAYTQbd/hvLCRBz/ug7rz3cgm884tz5YIfLyXyY392+ARlzsTaSlPdVlqQRVFbu18HWHrB2H2Ld8FeW5+9CUJkQ5gKjUcQyfO4v0ycMRRZEXbtuG1k3cloaA5u1MXgRJgh5jvQSfguEFQWgLBG6sqCPv1d2E2C1dFv+8mTDm0LuWUl8wIEpXFldUjWcuG0Rts4cNWRU8+PFBZFFgWv9wFo2OY1Z6e7D3t2lZOhdcIDXfBiqPQ+0piB8HJn99WnIOM/Py4lMcyjvCwosv1hVYv2EIkoRks7H3eAXHShuQWkS2gqwGrh4d9x8TJvtP4NKIIBRNty7pxENH6w1/WmglmgYpFhNJNbuQNYXCikaGxwUiivr5EWkhRcJpL3JBL4Mg6guZTRXbSaPI7eWG6AA0TZfkEFratEU/nEawBAHcisJbJV4kPFwfn4YoiEiCrolx+l99f2Pb1ouCSOnBXC4+PoriwEqSr5uIzWTrPPnWd4grrx779lJs0+IwpwSiB8UIeqzIaX8VVUF+8RCWuCZ+euPFbZodoqiTktP/ffr18vRLH9BcVcJHT/Y97f/LzBWkBFu5aYJvqc/nEwZJZHRiCKMT23VyMtbkkuAVyIwLY96spPa28QFgNFP85KdE/eIyKl5eh7ekBBDAIGKIDMF/zngCpiaw9b1jFH2xhsbwwUT3QVW4FVGGY1hMduyyCdXjorn0JIqjEc3t0i0QmqqL0mkqmsetWzJarBmapuH0KJj89f3aB99K0pF/curVa0i8/+vT9iLgcpeSlfVVN6NwU13zIk5nPrIcyIgR7xIY0L3bWlPFPgWoFmTmsvw5PVU7InkyI+fPYdDUUZ2LtwoCXo+HkpNZLf8WEUQBTZHRBFDq6qk9lt9hG09zM5rmpak8t50QaSp1ikizEIZHEKhRnBwsLm27R0VRbLlH249BUTRUh5eaUxU0v3ycECw4pvsTOyG1RWm7fZ/r3svEXOrlVLUuRqlPfnTIsogsCG3nRwDCbMZe62iltYjrjUoI4pZJumjnA7P7U97gZFVmGUsyirn7gwwCLQYmp+q6Uttzqpk+wLdCm98lXCA13wbqCqF/z1VVfUVB7nHyC04xZ+7C3hufZ8wYEMGM0y76Pfk1NLsV/Ezfn8sqvA91pdoQGkW5KYl7M6/kz1OHcc0Y3wNt7wbq13/C62o8fx3YdRHJruBUPLxVUoMtYDzBwe3bDQ2MZERI9wHaG5csY0LGRHLDShn7k0ux2XoWldNUDfv2UgwRVswDuhe6qzil12JyWVSCgoJ8Pg5JlDrq+/cBoiDgVb87s8ua3WVEAAFDO1pLbWOisAy8iZLffUHJE/8C2UD43bogpGL34Moqovq1T9HcV9N8vAxFNOIWLXzw+734GUQSkvyZcHM61l4KXAJcGvUsAELDZtTfRmITz/78tIbCJtZuQ1W8iC0CjKpqxmTaSXHJzm631TSIirqMQel/7fUFrPXRUhM3IBG/kAHYa45jsvkzZHrXMViywUBTbQ0fPtFZa2mKQcZ/w0bKNmzstE4J0tiV2U6yvUjcyb9wCU1cYpOJqytg6euv9jrOSGcozS8fB6A60MHw+VO6bPez0mr9y587j6UrJIdZ2fBw13IMrXh9Sy6iQKcCx5EBZm6emMTNE5PIrmhiSUYRW7N1heLNJyp5fEH3Qd7fVXx/3j7/o9hz8DCLrvzmNFj6AkXV8CrfnZfKtwbFQ2SQjctHxPD7r48xOz2SYD/f3QZmUURVRTweNwaDb9sZBQlBdZBFEr/IP60v5Rj5szuTGo/Hw8a3PiM9L5astFJm3HpNt9kZ1R9l4SlpAg1Ul24W17w9Ew+LzYobCAvpW60kURIRzprU8J0iNaKicixAYs7czkGkks1IzJOX4zpRiyHGD0NkuzvHGedP48YN1LzzGf0lA8PGDyLgxgnkbymmKLOak9n1FDyziwU/GYop0KQbeiXd6oAkYK+tZdnff4ujsYn7W4Sa60yJKDFjkKPTEY02BIMRQZQ7iL0IkgFEvZwAwMEtGyjev5cpd/0Mv4DWAHMBc2gc/qcpSk+e/AX1dQUILYEwmqZRVLydqqpP8PMrp6kpmlEj/0B8fM9aVq3QFAnZ4LvF+euX3sRem48gWhg1b2a37a56/Dfk7tvdNkZNVSnLLSJ33ybqrruT4Jg4JONpMYiqxqncLxHSVjM4/IW2QB+76sFVbeYqUy2XXTQft+hAMEhtujNqi2bO6QhcmkeMZsM1NxjZYmDo+O4TAWaHB7C2soG7pp5Z2023Fiuq1hbi9uneQmqbew6q3neqho/2FDIhOYT9hbXdtkuNsPHL+QP5JXqhy/OksPAfxwVS823gPHpn/P0s1FWXExTatQDdfwrVTS4cHuV7FXB21lAVEGV+tTCd9VkV/HFlFn9Y5LvOy1aHSAqVyD6WIthWkceNh06C0DmzyduF1762ppqDb6wlrSaK3MkNzL702h77dxzQ1Ypba+kIZgljQs8WHaNJJ2MG0bdjUBQFj8fTkmiskl9Wjcvtxen2UFnXQEOTgyumjuw0y3/3gyMUHagifEAQgkOhWTy7rJnzjbXvHmRgs0ZmaPcvZ8nPgHVkR/O+pmlUvXEYOWIQITeOxxhtQw63IJplBi1KY9CiNGqy61j6t/18+kLXaf7OuldA0wUGnz8+kR/95Q1iYvumGL52+ZecrBJodtkISJtMSETXzxdN0zAarHgVJ1WVh6iry0BRDmA0NSBLoYSEPMmM6Tf3ap05HaoiI/lAapy1Nbz10M9x2KsQZTM//sfrBIQFdds+PCGJ8ISkDssOrNlJ7r5NpM6fQ8qozjXeytYexa6YiRraLlvR6G6CbdmMCVWYP8C3QpBrtrooFmHOzCG9tu3vb+ZAVROPLRjUa9vVmWU4PN3H33gUlV8tPcKwuEBumZzET9/PoLCmmfiQnq18Jh+TI76LuEBq/tPQNLBXnZeudm7fSEpCwrdOaJwehe051Vw6/D8rJ/6dheoByUCEv5lfzhvAk8syuWZMXId4i55wXArhJrnS5/iof2WvxyGNJkE9TrzJgj5h12N4RgQGdWibmX2SnX8txKmF0xQAQXkxbP7Hfj1zqWVyqbUECOlFtTUS8aD6y8TfP0rXZdNUvKqGt7YJrSWLSVP1ma+q6ts5m5ppxsXevZl8emhFB6XV3gIQzcA7rzzfaXmAzcLsMfqDXvGq7NpfRvXWcoI0AcfeagL9RBqaeiY1Xq+K3e2lye3F4VII9zcRaD1/CtcAJYX1JB+rJ9ssknZZ36ofu/J1TSUpJILGzUWo9W78JkQRtLDd2hOSGsS1T4yl7HCVnnWm6m5BTS/qQ2Pdz6ipOEhwYAhb1/+bg5+uZfIDt/ZpHPs++xDZ3oAmipjMuoqz2+Xi1IksCo9nUZafQ+SoN4H2yvUAXiUQSRxKVOTlpKdf2Scy0wpNkZHk3lxUKp89tQSHvQaAu194CVNwUJ/3VV2ku0kjkrt+djXZd6GJHZ+vrbXY+jI31UQQfLQiisK5hna3451t+Zwob2TZPReREGJFEGBHTnWvpOa/GRdIzX8SFceg6iSknXs8zbYt64iNjiEp9dv1eWqaxqrMMhYO/Q/pxv83QPWCuwmW3MWNTeUM9q9HeQ/UpBDE1pyftHkw/s4uNx+nVPCV6s/Cyno2FtQxMzGUgSHWbl8QoZZQcMGLw8YyNjylyzYAm/bsYd+75Zg1CyBQ0qhSnlXXJp0OZ2R0CQIaGptDN4MH+Ev3eh1dwgxRahDh4eHIstwpSLj1e6swmSRJqIhUu0X8AkMwGmSMskyAzcrXSz9m1/4jbaTm/Y+O0rS1AhMCDZFGHnvmIv7+6HIA+j+xAq3NRK9xRhxmxyEaRLJ+27N4ZF9xZEUugxBwyQKnjlURHR+AxUfiZErwB1lEcyooTgUkgaYtJTgOVRF0ZRqWgTox9o+x4R/TXeBwKqC7eioK8sjYvZyR5ZdjjfRdzTu6fzqV+3cRmJzGv555HEdNFarDjtBKTCWZsCEiklHtkOPgMam4OcLx8qNklf8JVRBbhP5aPoKEhoCAhhY4n7TmEqJFDVRvS+CygqZdi9hL9o8gigTYJJzOqdib1rH4l7dw5W9fwhrVx8r1Lccjd1HfKOvACiT/DMKsv+tbn13tRhSQvL4Rle4kL3rYoEuU1Dn4+9oT3DwxiaEtBY4HxwSwI7eaa8eef0HN7woukJr/BOzVkL8FIgbBoMvOubtNG1eTkpRMfNK5C7SdK1YfLWfmwAjk/8IaId8YVC9k/AsAYdAV9IuzsDO7klP1KsmhVsj6SrfWdUNq7k3rx4JCiYs/zkAqauYv6DM92SJj9TMS5G8iKshEfLCV1BA/qu3h4FYwyd2rQH/y1UpKlwu4Qxq48eGJRAT7Huvy9NObCDQEMmX4uA56RSDoMTAtGR+CKIIAoiCiagqLN31J1IhErrjK97T+hqIsar56GqHUCaoHQfEiaB5uoY7i4ihq6y/j82Unad6uu8TqgyQe/fWkDn30C/fDIIkYJVH/K4uYWj5GWcRkkDDLIksyiql3nH931YhLUzn4xUmCiuzE7qxkS42TubeN8GlbQRKJ+uVY6pfnYB0ViWiWqHzlEEq9m+p3Mwm9KR3LIN9lGqbe/WOyH/oJW158i3m/ecjn7aZcvojPDmfQUFSAbPUjMC6B0LhEYvqlkjxoCOExsXi9Hl598zL87I14Jy7EZrWgajo50TQFDbWFpCgt+jB6tpWmKcTbl0LtqzQADQCahqCBoAHa9Zjt9b2O0WLRCA4M55Lb72PJP//JR4/+lKuffJaAfiN9OsYjG/dyaO2niHIAchc1x4pr7gVg6LjrOiyXBJ0AKX0hH4Lvlhp9MuFzt922febLTPxMMj+f2y44OT45lK8Pl7bomX1/slRPxwVS802jvgjKM2HQ5eeUtt2K9etWkN5/INHxfZyRnGe4vSof7DrF3MFRPikW/0/hop9D8V4IToYpPycQ2PFFJg/uLWTtDdOIMT+kW+y6wdDEoaRkr6dQNYJB5K6L+5Nf20xRnYOqBhdVtQ6KihrY42qfzZqA3eEuqqvrUdGQRIER0QkEGC28/NwyOBmIO7mU++9fhMXcewmM0yFpRiIjkhlzyWSft1FVFTZ92Wczeu3exSSVraDSEIsqGFBFGU2QiaeKgeTw1mNf41CDaIgwEpHsz+yp8W0WrDSDkSCTzKf3T/VpX7lVdjYer0RRVN0r7Pbi9Cp4Fd2CE2rrm3BlKyKi/Zlzl16KIfOxzWjuvmmOyAFGQq9vt8DGPTsFV2Ejla8epPpfxwi+tj9+o3xzOQfERjJy3MVk7PqKkYcuI2KYbxOh5PRBPPzB0p7HKRu44uoPePuhu3GXlPHEs3/FaOj6leLxuFE1pc0NWe96kIPb32Lmvr+Sc81yBg7Qry1NVTn62Uaay2yUbN3atn1FVgEZ+614VUNbeQdFiyfav4TI8Qu4/qlQFv/fr/nw149x1UMPEz6y+1pNHqeHL//5Nnn7vsLoF8M1TzyJLHf/KjzTQmqU9Oedpw+RtJokIPbB/eSrREx3SsXrs8pZlVnOP68f2UF0ctbACN7cmsfBonpGxAf5tpP/MlwgNd8kNA2K9sDg8yNAt3r1ckYMHU5EdN+C/r4JrD5axo0TEjFcsNB0xuhb9M9p+Pnc/iw/XMrTX2Tyqs3TlmHSFX6zcSkFhn7EBzZSWqZx/9gkrF2YxxvdHo5UNfHmjkOs3dPE7z6pBU7LbtBO8ot6GxCINKKOh+68/uxiHND6vJ2meHiav3PqcDz5FZ+CpugB1JqC0Pq3ZZmgqfp3TSHRfhiA0EcOIsrtD+PC/Vn4LRtPXPBR4m+9m/S0zvFJRknE3YfsOz+jfk77/WpFl+vf/dFYpp2jTodLOOsM9Q4wxfsT9fAYyv66j9pPTuApaSLokp6l+Vsx8Sc3kXVgC6uef44f/ONvGKxnR9a6QmxoCGPufojDf/sNf3/9VR65+55Obbav+iuTdvymwzILEAXs7HcN49Pa1XhVr245O5ITxZGc08sWRJEUmk9sskWfG7ZYCqOH6uQvaMB4rn/2eZY89TM+/tNfueKOSuJmdq4MrqoaL975NIrrIJH9pnDtrx9sC2rv1LZxMhqNbf/OtTu5P/MQk8wNCGooXqXjD6urY7dUzFbbhTY1XXQbVA23R2nRrepMllohifgsvdfVPNnu8vLUskwuSg3j0mEdwwLGp4QS4mdkzdGyC6TmAs4CBTshybdZY0/QVJWVq75i/JhxhIRHnYeBnRs2nahkYkroBULTBwSYDfz28sH85P0MTiU1kNRN3R+Px80bzhSukEoYMXwEzx47zNbiWuYmdXY5+BsNTIwJZuwVF7EsbT9Or7etEnRNZSPPrW0viheS4eDAyysYePVErJG+BSy3QkNrS9f1FYKoE4ZErZCaShcaoh5fIbTGVejfEaSWZfryItsIPP5xJMsdrX/xIwdStyyZIcFHiemC0AAYRAGX4juDeHxhOgFmA6uOltPg8JAY6sdFaaEU1jhYn1VBdkXTOZMaFXR57/MAOchM1C/GUPGP/TRtLSFgdiKiufdHuNFqYe5t9/H5K//HF4//hiv//AxiNxaVs8H8cWPJmn8VyorP+GzQYBZNn95hvViu113aNeMvLdeRgCCKyOYAxo26vENAvOZpdwde82MbBj8/EPSyLP5J03sMnveLTePav7zNF7+6ncWvvceC6jL6X/Ngx7GIAsHRaVTlH6S68Bi5GVkMnNhNZqIgULDtCl5csR5B9KAKArM1GVkVeYJaNEy8wPouA4Zr/ETyIw2UhkhUBkgU9jcAFth6uON4NA1JA6MKBg1kDW7MqOcnHjP//Mm6bo+1FdcjcNQi4vIqnCxv4mhJPa9syqWkzoFHURnzu7WdbKU1djcZp+p67fu/FRdIzTcJRw349U2noyusWbuCSRMmERh8bpWfzwcOFtYRG2Q5a9P8/zLmD4nm5omJHNtXS2i8Ef8z1lfVNXHny59jqg9mBRIrDJkgCaSH9Cz3L0sSi4a1C44d3HGYny7PxiwZGTjLQkBRIyczBXYctrDj8AFGxNcQEHXm3ttxpjVb01SOFezlt78+3PUGnaArHT8uCBxP+inptz7r43Y9wx4xndDyxXjtTch+nYNkTZJIUw/prWciNsjKs4uG8ewZxaX3nqphfVZFj6myvkKC80ZqAOQAEwHzE6n7LJuSp3cgBRqJvH8kYi+ByMnTxzGn5m5Wffw8y3/1LAt//zjieUzbve+mm3nmZBZZb79E7sB0UqJ091hpeS4DC9awfcCNTJp2R6/9nF5wMmLsuD6PwxQcxVV/+5iVT9zCl4vXMrkgh3H3/w1Rbj8/t/zxVnIzJvLVP/7M8uee4MTOK7nkvps7nY8hw3/Bia/LMPq56D+5GVWDo25/zP4JiKKI0hL426oQ3ujwsKu2iYORMtUBEoKqEd6gEFGvkJLnIiLaj7FBfm3q5EpLeRSvpuFRNdyqhkdVaYhqxr/Qhd+Enit/AzTvrCLAA4OfWoVX1dpibEbGBzGxXyh+JrlLa86oBN+Dxv/bcIHUnG8oXqjM0j+JvscgtCLnZBbl5cVMukivNrtp42oC/KzfCUJTUN2MR1FJjfjvLEn/XcCvFqZzIBMOlTYzpNnTQddnwXMbqHAGc/ugZhpih3KysokfjY4nPsDic/9LP1jFY/vtxKDwrx+NJHWInlI8Fsj7ejdff9HEgcIQKPR9zP7m/iiynZi09gdhV0GGp6dsa5oGZQIWsXvy1Ff4z7kD8wdvU7ryfaIX/aTTeqMk4jkPBMLa4pZy9SIw6AtcIkjnWZDSNjYayWqgcUsx7vwG6lcXEHxF76njQ66ah6fZwfov38D10BNc8vTjmIPPz+8jSRJ3/fwR3vrFPbzz12cZ//CTVH/1KILXgRY+DWfkJI5v+7xNNE5pFamjY5aa6nBjxDdrdPWh58gtepUAOY7QyI4ZbONumID/uqUcKj1M4ZNTGD33elJmPNC2PmXUAO56+UUWP/s8J3d+xivH9nPNE48TntC+75zdJkAkpl8M064aDkBXur21dhdPbcnh8yA3WrCRCQ6Jy2xBXDIokhC/vk/+XmvMwlFcwo9v7V3b6hP7AbSSJp6+tD8mWeTxJYe5dmw8/3dl92Uovu+4QGrON3LWQ0Q6DL4K+hiHUFddzpGsY4QHtQubGUx+hAV9+yXi6x0ejpfrVV0v4OxhkiWGxQaxO6+Shxcf5LWbRrcRhDcXJXDpB0WMDDOwcFbfqjErXoU//ulDXmsIZoZQx/NPX4MtqOMLK3nBOO64yI7X6e6ml3a0m/kF3ntkEwMTRKbedVWfxqT++g4MhvNn0QtIG0ylNBLD0Q+gC1JjkkTc5yGAxdrimnl1Uy7LDpSgqFqLiqvGpW6JMYKMVQOp5SNqILW4EVo/MvonDoHMbyDJxDI4DNWj4s5vwL6rFNXlJfjq/oi9uIRH3ngFRj8/1n7yMu/efzdzf3QfyTP6bhHpCrGhIYy+8wH+lnGE144WQooeXyNqil6zzKkioCFpKiKq7npp+UtL0rdLs/IATT7tr7ZiPQ1mNw3kUlT9YucGo6A16ihPe55jLy1m/EUvEjZMJygmq4kbfvswe78ez+b3X+C9R+5jwqI7GXPZDD7/y34qCxqxhZiZeXPXshmKovLCjnxeaKzDYRC43GPiyUnJRAV2noSoqkppvZMQPyNGSUTq4XcSRQFfq1mE+hmRAi3MHh7Dpc9vZUC0P09e0rto3/cZF0jNN4GgvmkAqF6F3bu34HC6mDBqFDU1eu2PzMMZiEozqel9t/icT3gVlY3HK7jsgrjeeYFF1kiPCWbN0XJe35LLnVP1R+/QocNJkQ+wL9eFz5W8NI26ylru/uPn7JDDuSuojl/+4hakLlwLzeXlfPXL+/F4PLSV49R618Xw2n5EY3NzXw4RABUJlL6lTGuqiqqpeLxuvF43LrcTl9uOy9mE22XHEDuKlII3qT52kND04R229VOriBHL+GjNTlRVQRBEDLJMdFgQg1NiCbL5JjgWE2Qh1M9Is1uh2u7ShQxFAQmBH7lk6kSN4kADqiS0FfTUJEEvVSAJ+kfW6xeJssjgSd9MYL/fiAicR6txHqvBsb8SOdhM4NykXrcbfOUcIgf2Y/lf/8ySV35D2spxzHjgp/hH9+7u6A0LJozng5IqjgAvhxq5clj3L9is+nKeO5mBp7W8AKCesKOHEfcOQRAxumHc2GVdN9A0NFRUxcuOzGvxmut577ePkx6byNTHfo01Up+gjVkwhZQRA/n0d39kx6f/YPcXG5Et00gZEcX8u4Z0GdC7+lg5T2aXcMomMNYj8cfhyQyKaZ+MLj5Qwt8LylFaCG2+rSOzvdpp5PfT01qHCYDaQshdbgXVRyIsiAKaqvHLxQepbXbz/o/HY+4iqeB/CYL231pfvI9oaGggMDCQ+vp6AgJ6lng/J1RlQ9UJsEVC7Khe07jzc4+zde8BLp09k8CQcLKOZBAcHEpRUQF+VgsDh3ZdnO0/ia8OlTA7PfJ//mY5b/jgGji5mkZDOE1uhRCbGVehSMUOlTIlADeGtpmcJrQr46mihCYILQG2AilKDoGJDipTQ9AEiGiuxdblNEUADUqbZD6rHoJN1Qiy+NHacaulqDuXUoXph0RG27nmmc7ZJD1B/XUQoqDhNBvaRNuEFiU8QWtJzG1RwRU0vfq4r1gR+jgX3/dIh2VPP/1092PRwCH7YwmOICkhgbFD+jE4KaZv8v1uLyVP7aAm2MiwR8b3YbTfLOpW5NG0qYiAi5MImOb7hErxetn39mJ2rV8MwPgZixh92zVIPaQ3d4eS2lp+u3U3AwNsXDt8MON2n0BWFY7MGIWfqWtr3U27vmJNcxyC6kBXZtFIrPBy42Y3BqmWO1/ouXxHzrorKfMcZvL87F7Ht/XDoRid4dRnDuXIqZPIGowZPYFxP38EqWV8qqryr0depbpgOeEpl3Dzs52tgSfLG3lkdy7bbRqxTSrJyOQIehzQRbIZiyhS7XKzyuwhoKmR+EoHrVe21WpjamI0/3DU4zR0/14Ye8LJrEPNPPBi93WsWrHh/SyOHaviT0o9r940mnmDv/1Ekm8CfXl/X7DUnG+EpeqfhlLIXgtpc3ps3tTsIMgiExiiz5Jq6mpxulyYLebvBKHZdKKS8cmhFwjN+cS0RyFuHFbFy8p9hTQ0u5iRfQKPvRrDpH7USFEgW2ipU9BSskADVdU/mv7XtbOQQruBpnArqWYBs38o3k4709r+ikIdVMNVj9xP+BjfVa1f/MlXSFY/XXumRZJf71HT9dRax3kGNtbfR1LyXkLj5ZbQYQFEPdtJECQQJZAMIMogGthcU80mZTgjbDAwKBpBMiAZLcgGPwwmK7LBgiQZWP1lLg25ocz0KJhOuy6TIgaRX36U2+7+GbIkomngcHs4VVrF8bxCiouLcNaUUFCVQ0HGBv6NAdUaTFhkDEP6pzBjdDrmHqqyCy3Wr9JAA75X8vrmoGkala8ewp3fAKKAaJHx1jmRg3zTIZJkmXF3/ID0S2ax4bmX2bLuAzJ3bWT27T8lfuKIPo3lq6NZLLVFggrP7s8HgxE8bsrqaikTHGTUlZFrb6TQ4aTcrVKniFSKCYhqMyWz2sUTjx1/lZLIPwFwYs1bLXFaqn6ttQj3tUTiUGYsw/cCFwKiQWTOX/7B6KyjbPzz79l+YDeHb1zE1Kt+wMDrb0QURW7980/52w83YfbreCc1Ojw8syWbjwUnRoPGQ1IgJyUHX1i8jG+U0BQvS8zNGN0uDJqHEZlHmLJ7LbLS3o9kDOOB995hTnE9m07VnDG61vB6qKkqRfIxRr3K7qKszskdC5K/t4SmrzgnUvOHP/yBxx57jPvvv5/nnnsOgNdee41///vfZGRk0NjYSG1tLUFBQefUJ4DT6eShhx7io48+wuVyMW/ePF566SUiI7+DMR6apgvu2Xof25AhIygvK237t73ZiSzJjBg9sYet/jPIKKglNshCuP+FTKfzirjREDcaCbhohJ0vbrwHR1418a++SvrUKb1u7mhuYN0DutVkwxCRO36/DJt/72Uqatd/CK9+gGTpW4yWQTBTmify8t0b+7QdzMBgHUjaVTf41Hp0Uzm/35vBemT2XTQTSeyaSI+an8Cevx3i860FXDejXYTSZDAiYiThjJT11NhwZo1pj4soqapj+6GTnMjNp66yjLrcw+zKO8CWVRJCUCyTx41h3vghneIeBFGgXtDw9OKu+09Bcyk6oQFQNeqW6BYLY3IAEXcN72HLjvCPDueyPz5F/sY9rH/3VT557gkGfjWJGQ/8FGt471kysRv2o7S4jH7krCbB30qI2Ux6rB/T9m/Ha0oBLKCZkNVG/GgiQPKSJOQzOKAjLZH823/PGm+ubtVrtSie9h8ICB5wG2Hn+7rVrKMbVWv5iPQb+AsETdS1koCQgYO46s33ObVmFRveeInln3/E3i+WMPaKq0lbdC2CIKO2kBG7V2HslkwavQqKBJe4jPzflFRq7W6mHsvhJo+ZP182kLLcQt5/7KcERowjduBAUsZPZcD997TURvOy+P9epCx7HwBDYgMZEtu5+Gwr1mc7OFbowN3sxWjt/hVdY3ez9WQVUUaJh+f3LQbv+4yzJjV79uzh1VdfZdiwjnOW5uZm5s+fz/z583nsscfOS58ADz74IMuXL+fTTz8lMDCQe++9l6uuuopt27ad7SF8M6g9BaUHIGUGmHs2k1WWFbMnYy/xMe0Me/bsi30uZPhN4kR5I5IgXMh0+gaheb0ov32CKfl7+PPo6xnujuSBXrYpzj7AsZ/cRnypgzWLonirfxW3+xgcW1pYDEBTfQN9UaoZbdGwy+DfIuQliGe6rfT/nem9at5Zislywqd9FDWV86vDW6nTwqkngGJ7BQndELVx/cNYHWGkZkcpnEZqJFnWpfl7QUxYEFfPHAszxwLg8SpsP5zNtn2HqC/OYffqJWxa8zWXXHEVU4b377CtUwTBfR7U9M4DRLOMaUCwTmxUDSnIhLfaiTuvAcXuQfLrm9J30vSx3DJpJLtf/5A9Wz8n7/67mDj3OkbedAWi1L2lVmkhHSEuBzV+0TQiozrhHwea8Zr1WmQvxavMTxqCVe7ZtmK16HF7UswDTBh4X49tM343mdpJZaAJ+vXXSn+09guxKbaMww2PQhQYizsSicQ587h51hwOv/4Ku9d+zVdL/o3p0/dRJRFjYT25y3JouiiSGlSQBe7FjycW6HEwHxzU76XN1ZWc2K0gSRICMObSOYyc2z4hFSQJUZKw9dvJsGn7WPXlDBCc6C6plnFqLVZMQQMU7EoCcCcFx3NJHdnx+muFqmo88PEBAjSNWJuZ3L0VZO8tp6HaiaZqSAaRWbekExZ3/rIP/1twVqSmqamJG264gddff53f/a5jsa8HHngAgI0bN563Puvr63nzzTf597//zcyZup/x7bffJj09nZ07dzJhwoSzOYzzjyKdiTPo8h6bKV4vmzetxWqxsGBBx7bfBUJTXOegqtHFpNRvP438+wpN0yh75hka16wl/p//YASJPLfuBGMSQ7gorevzvuert9Ce+gsWo4j82h8ZzFHI/gBF6T2bCaDG7OSdBad45+QvEY//stN6QWudEdOhoIw2TOAex3XccePjfTrGwv3FEOKbxWBx/j5WOfsxzZTLNVECCf4jemwfMy4C+/IicssbSYnUH9w6yeq7FcUgS0wbOYBpIwegqiqrd2eyc+Vn7Ms82YnUuEUB6Tykep8vBM5LouKf+wHwVjoAEEwSguns3MWSUWbiPTcx+NI5rPvHS2xc8TaZ29cx+657iBk9uMttxteVsisomhqThWVeF6CLPho0hREOlVMVT/H3U2FckfKvXvcvCr6P29R/AKK9nAk37ey2Te7yJ2moPwJA9IDOMTqiKDL8rrsZesdPyP1iKdkb1uJuCqdfwFCMO0qwbi/hsxgrf4zUeCHSzpov9pMsGYgxyvrb01vOl3/9Y0tvEqljuj5H1jj93SBq8RilWFqS2FtKnLdalQQEQUIONlAK1NfkAl2Tmpc2ZrPlZCV/GZ1M2eYy1r59lJi0IGIHBCMKAgfXF1JV1HSB1PiKe+65h4ULFzJ79uxOBORs0VOf+/btw+PxMHt2ez2PgQMHkpCQwI4dO7okNS6XC5erXVG1oaHhvIyzRxgs+qcHZGXuJ7+gkKlTpmO1fYMBy2eJ+mYPmcX1zL3gn/1G0bhqNXWfLib697/Hf/Zs7lU19p6q4f6P9rP8Z1OICmyPi1BVldW//ynxH2ymsH8Q4179iJCoRKp35QDg9Tp92ufJ8AYohBFSCsMDOupYaJqGqqntD9rT8IH9a5rD+56XrLXUY+51XLWnWFytYcTFCyOnE27p3Y502bREPvi6iBWbCrnnWj3DRpKkvlc4PgOiKDJ/wlA2r/wcRekc2OAVge8QqRHNOgkwDQwm+IpUXKcasAwOQ5TPbXIUkBDFlX/9Ddmrt7Hhg9f56E+PMih9KtMe+AmWM6QColv2NXfT5ww/trfDuimP/IFtgXfxVvZT/HzVyzx3cecyCqdDUXWCLvZQRqQVomhEk3v+vVMW/rbXfvS+RFKvWETqFYsoeGApss2FfNUA6lefIrbEzgslkGkSWBZvZEeUymrBTWRFKbccOYlLDkT11hM/ZA7+IV0/0w3OGTQr25h/We/ETlVVTq5fTk2Zvcv123Oq+NuaE9w3I5XLZ6RyPD6Q2P7BBEXq2X2KonJwfeHZ8PvvBfpMaj766CMyMjLYs2fPeRtEb32WlZVhNBo7xeZERkZSVlbW5TbPPvsszzzzzHkbo0+IHATHV0BI52KTitfL6jVfk5acwvyLz71S9zcBl1dh44kLqdv/CdQvXYplzGiCWipYS6LAc9eNYOE/t3Lfhxn8+44JGCSR5qY61t9zDf12FZF72Ujm/d87yAbdhC+L+l+Px7d06wEBCQA8Ov4uBqct8Hmsy97aiEHs6DZQSgrQnM2gtgdx6kHMraRIw6AW46x34SjLRlW8aIoHFC+q142meNC8HtweJ3fl1NMYGsa/+ht8IjQAYf4mmlL8EDKqUK9WEUWxJZPp/DzJNcQOpKba4eGBVZlc6/KiGL871Y3lEAuIAkqNHiDsa5Cwr0idO5mkqWPY8fL7ZOz6ipx79jF54Q8Z9oNL2jLHHp84hqidB4jvP4ISh4o1PwMAh2wlOCiQB0ddycaCrawte4O12RcxO7V7612DW6/O7Sn6C8sK/gac8Yue5lryDzl3xeeeEDEigogREThqHBR8nkO/E7U8keOmMbuJo9Xr0ZJiuPqPj6F6FXIPnCB5RNdWFQBBkBF8FJ8RRRFLcAP1FZ2Pr6LByc8+PMDEfqHcP7s/kigweErsGfvSz5F6HpWs/5vQJ1JTWFjI/fffz5o1azD3sdLvf7JPgMcee4yf//znbf9uaGggPr5v+jFnBUuwnvWEAIobIgdDUALr1q9h+pTpWL6D1hnQb4AVh8u4ZFj097Yk/XcBmqbRvHsP9u3bCT/t+gQItZl44Ycjue61nfxpZRY/Slc4ductxJU5qHz0Zhbe2jFGbUX1IQDmrrmVO/zTEVriCnR11laTtq7ngQpVdYUgw783vYm0+k0Ghg1m/ozbCYlI6HXc7lMNaIoCmoZn30aMKxb1uk3z+gjcy2Tyn/lrj+1eBCo/fpmpsaN67fN0DJkUQ9G/TrLrRDUTB4bTUJ4LgsYnb7zGtIsXEBkbh6qqeD0eRFFENvgeY6Ih4D2N1Hx+opwtO4u5SrCiiN+t+8MY74/7VAPu0iaM0ec/Bk42m5jy4I8Zkj2Pdc+/yLplr5G5eS2z772PyCFpJISF8tD0ifz8Z79ioP0kDUEJTL3+ZmZMHddGfN65/BlmfniEBzffzuX5d/PEtBswGzrH1zQoBj6tNZDoF0a/wH6cTmnOtMLVHDrI0G1O6D3zuc84fU+WEAsDbhuC6lUp2lCIa/1RxoXOw9Pg4siflhFz2UhSx3Qt0NcKQZBB9N3C5x+qUF/R8Xp1e1Xu+3A/ogBPjOvHp7/fg7PJg6ZqJA0LY/LVqRjNMqKoy0Co51nJ+r8FfSI1+/bto6KiglGj2h8+iqKwefNmXnjhBVwuF1IPAWVn22dUVBRut5u6uroO1pry8nKiorp2k5hMJkzd6CN8o0g4zRXWXAMFOyhrUggPDvzOEhqv283y9RuZM2Mm8oUild8YGteupeK553Bn52AePozgH1zXqc2YpBAeX5DO4o/fZeZTn2CWRUyv/4WpEzvL8QUEp0D5dgC+qjtKu2e+Y4qohsbVX6mMqdVYcqvMF4YTYADBcZw/f7mUyY1RXD30eiZd9AOMps4CdSLNBPAmwm+fA2hLo3VNehnBLwgEseVDa9QwiBLuj3+KsV8QptsWIcgGkCQEUUaQZUTJgCDJfPbGOqbv3UHz439n5wMqE+b4/oaaOyaalz/MZueuUiYODMddXYSgKRwtKuHo62+0xCu0BmNqTJg1m/21DSiKgr2xkeGDBpGVl0dibCw/mtxRd0YTRNTTSI2pxcViCDFj6qYY6beFkOsGUPanPdR8fIKoB/pGDPuC4NQ4rv7Hsxz/ciMbP32LD377EEOHzSLlmsv415+epV9zBRUjr+LZX97aSf8n2Gpj+TUfctOyR1hW/De++Nc7TI28iien30qkrT2A1+F1sK3JwMwhP+PaLmJgTsfaPY9g3f3FN3CkWpcGP1EWSZiTSMKcRGpPFlK8bD+WCgtNb+dRFnGY1DtmYAzoWuBRwOizpQYgINxE+cn2LEVF1fj5JwfYX1DH+7ePx5XTRHVRE2MWJqEqGoc2FCHJIlN/oFuLxBZRvv9F9OnunDVrFocPdyxq96Mf/YiBAwfyyCOP9JnQ+Nrn6NGjMRgMrFu3jkWL9Bni8ePHKSgoYOLEbz/1uUt4HJC7EQZfyZ5Vq7h0/vxve0Rdoqz4FHsP7GdeihWz6OWCdNE3g+o336Tiz3/Bb+oUIh95FL9JExG6uF80TePKwp2MW/8JOVEaeff/kge7IDQAppb4raWXLSU1uPvaP5lbl+E++Shug8Dv3JNxB8cyb9ZdOJrrWLzqOb6SdnBf0d+RPvg7NlfHKBivqNFkBtUQgmvYoy0kQYTACEwze7bWCCIEjx9GyKKHu20TJfVjj72JpIoyGv76V9RZ030WxLMYZZypNoTMWlRVJSVtLPUrXmfUDbdTXV2NLEkIkkhtTQ351XXs3LkTmu2ogAnIyjsJwPGTWXAaqXll41YsmpMDRXX0+80qnSy2zHq9gOk79rKQQ8wYUwJx59bjqbRjCP9my6oMuHQ6yTPGs/3Fd9i/fxWHDq1BkqxcdP+vuWjiyG63iwkIYd1Nr/Plsd08t/d1Nla9xaZP36e/dRaPTr6dsXGpGCTdOuHxQYlaNBgQAa/H3eaS/abhbWjCkXESKhuIDDDgttehOaIJqAyg4vf70Gb7ET+7M7EUBEOfSI1kkEATOba9hM0fnsDjVRmgaQySzBx7/Rhet4psEBl/qZ5dJgBHNhcz+ZpUJElXs75gqfEB/v7+DBkypMMyPz8/QkND25aXlZVRVlZGdraumXD48GH8/f1JSEggJET3l8+aNYsrr7ySe++916c+AwMD+fGPf8zPf/5zQkJCCAgI4L777mPixInfncwnAFcjFO3VpeEFUc+CEgTMPahHfpvYt2c7brebSxZeAdnrQL6gR/NNoJXQhP7kLsLvv79b957qdlP2zDPUf7YE56VTeGbgdpqPH2NwZlmXgdsOr57t4m/sOsNB8Xo4ctFEjHV2quMs9H/hVcYPHNu2PiA4gntue4mfqir7d3/BgZObaVQbUFSlbYxrHAdoMnuIEhIwXXXvuZ6KTrhyygSY8gnbV64l/oH7WP3Gu8y/80c+bz98QjT5b59gS2ZlW3Ds2CmzsJ1WqLEoJ4c33nsP0LD7+XPrTTfy6Ssvt603e9xszM5F8Sp4VJWcY8fwA6SU/gwx+dMq6uxnkvEv8eDxfHcChVsRMDuBqtcO07y/ksC533ytOKPNwvRHfsrAzLk899L7fGUZyIE1NQSFVDJkQM/lFi5NH8el6eM4VJbPs1ve4kjjKn609mtChJFcljoPgKXZS7lhUM/6RoKsE6C1f7of0WzuLFbZ+l3Vf6/4afMZfFHPmalt6IYPlP3uSxDj0FOybWhuEKQiVLcfoiUYYa2do+uWkPjgDPwiTisAKwoIQt9JRm1pMx4B1prdXDkqjhGxgTga3KiK1hYYDJA0LIx9K09RXdRERGIAoiReIDXnC6+88kqHAN2pU6cCegr2rbfeCkBOTg5VVVV96vfvf/87oiiyaNGiDuJ73wmoCux8GWJGQuKkTuRA1BQ8bjcGo++zCZfTwY4dWxAESE3uR2xiv9438hFet5s161YyZMAA4lMG6AtDkiFnXdcbaIDqhYBoiPZd1OsCIHvmLDwlJQA0791LwW23IciGttR926yZBF1zDUpVFUX3/Qzn0aNE/+FZVqe7UXftYmb0Vdz74X7e+dFYJvXrmOrtbMl6+uXmX/Luxe92WKeqKltnjiGiTs8mcUUEUpV3jITTSE0rRFFk9IQrGD3hik7rfg64ngzBrtRQfXgLmteDqnox2oIJGtC5rw7oA5efMHcmu/0DSPzbnyieP5vYBN/i3+aOieHvH2ezY2sRkwJ1y5d6RtaS3FKgkuZmZFEir6RzcsHG99uzUvyApsgYPr61c03m9a/sQ3B9swGqjmY3mSUNmCQBkyxiNslYLAb8zAYsstglKTYl6S4cV279Nzq2MxE1uB/PvvAUM1dl87vNOVz29m6ujg/l0ZtGEBLQc4zksKgkPrzmN9Q2/5L/2/w+64qX8m72swBYT3rZsmc5E0bOwdCNtk1o2mDcEsR+sBG1xbinQWtVkLaYYk2AyItfg6+gYPHndL4wO4r2ieZwoLhtSd2ybTRsqESQ/RDkOFRnBRH3jEPzN3LkmquwVerqwHL8BCyjbyNAC6f2b0dQfppGQKI+GRGQEUTdEutLzKLeROBgUR21Xi8Lr+7PLVNTum0fGK5bbbO2l7Lp38fxOL26Avj/IM6Z1JypR/P000/3WIMFID8/v099ApjNZl588UVefLGLaqzfNuoLIWIgJHVdeHLqlBks++pzrrpsEWIXhQbPhMvpYOfOLUyaOJW62iqWrVlP/4QcLCYT4yZOO6ehlhblk3HoALNnzsNkPi39PCRF/3SF6hxdITn8gmplX+E3dQp1H31M4FVXgeJF83jQPF69cGOznbKnfk3Nu/9CqapCMBpJfO9fWIYPx330fYyiked+MIrb393LHe/u5cM7JzAsLqit79mJs1l8cjEZFRld7rsxJYKIiiIK0gJIySgjx+8jRl18c5+P4f28kdR5LPC7P3ZYHumvYDHrjxBBEFrSwjU9EUrTaE6KZXKz2yehP1EUaQwKIbCxb9ILBklEGhKEdKAWZYL+svB6Okrcy6fF1lnsDex//g94JsxkxJixBFitGCQJgygiSxKyJGIQJVLCuh61JgpI3+C7QtM0rttwlN3d1N40qBoBXvBXIUATCEAgUBAJEEXM/U0Mtzv5wTc3vC4hCAJz56cxdUoir79/kFfyKlj57Hp+M7M/l8/u1+tLPNhq4y/zf4Kq3sn9n7zB6pL9hB9uZPful9lqeBFvnD/BiQmERsYRE5tMUnw6cZHJpF90GVtel3C6WrL/Wiw0+kf/kbSW+JjI9XoTOcjVkdNoZ/7VgGIC5rXrzdj3FCIYwjFE1iP5e7CMGUx55l4qnnsOW2UNTRGhGCdfRMojj1C57yi1mytAgNCAEaedI511FeduJuvQ34mKWcCQ8Xd2eT40TdOJmSawO7ea0RYzd/RAaIA2K2XxyToaKh0MmR5Hv5ERPW7zfcWFAIrzgeAkvX5N1nKQWh6gmqKnuSZPw2CyMn7kSNZvWMXMGfPaiI3i8VBSkE1hcSHNLoWo8FDSh4zi+Xc/YM7YIRjNZiKi47jjZv1FtHHD6m6H4PV4us3uOHJgF5U1dQiCgNVsYuGCK3w7LlXVM7ls4TDou5mG/l1H9NNPE90DyW9cv4HSxx7DmJxM3PP/RA7XTffVzmpCzCGYZIlXbhzNjW/u4pa3dvPpTyaSGqG7VibHTmZ2wmzWFqzt1K8oilzyzhoA0oE188YQt7eIo394E1deHuKudWiihK5kqqcw0zI7RBDQDCa9mCZgjzaSGhHI6OsuR5QMuBtr2b9yGbJkaJO0aZ2BCqKAKIiIokCxn0CZw8AAH87Ttq9XE1eYT8EjjzPPRytNK6ZNi2fX7hpOtlgpVKUj6wgJjyAu0J+klGQOVdWg5R/Dun4ZQv9U5o0e0ad9aaKA+A3WAP7iSAm7rfB/Rn8GhQfgUhScHhWn20uT20u9W6FeVajXFBo0lXpNpUJTyNa8lMUZWAxcq6iI30LAv9nPyH13jeXqnFoe/SCDB9Yd58NdBfzmhyMYkNI7tRVFkUvixvLlgViuvC8BjyeHg7s3Up+dT+O2TFyeY5QAewFF1JB8LWUNhIcuIMqWRtj0/hiiQjDERyD5da8pVr98J8WPfagTJE8YglxJ1MM/IPudtzh172/wq61HslrwXLOIUU89hdQS0xM3azJxs7rosOVeOn7qNjQ/gdL6I5gORZA27IoOzVTVy/Yd06iq7o+m3MRYBYJDfA8LEAQBg0Vm6nXdp5d/33GB1JwvBMbpn9OhePVgYU0lvt8MgkNCWL9hFV/uL+AvD/yITz9fwriRIxg1fjpmk5GMPdtZ9tXn9IsMpn//zsqUrROevOxjHMnKQtPAz8+Kx+3BbBBBlFEULzFR0aQP0QP26qrLqa6rZ8bMeX0/pv9v77zDo6ryPv65d1oyk0x6JQkJvYXepYMICCioWLD3XevakF37uura33XVRazYBUVBmiAgvRN6CyQESEJ6TyYzc8/7xyQhIT0kgcTz4ZlnZu4999zzY+bmfuecX9n+MfS+EUx/vqyUzYXnmNFY1qxGMZkqOA7nFudiNbmi5SwmPZ/dPoDr52zh5o+3seAvQwjzcf2Ut+XkAvDaglk8fe2/K58ASM9OwZqSj6kQ+PxNFHdfjEVZFI25voIfwjkfBCeiyOYS5YBmj8Pp25OwkeeiUSIn3lmrbQevn0zygcPsmfOBy69BUVy/2svfixQFVdWRtfAXNA93Lr9tJpuPpHL0RDZOp4bDoZU8CzSnhuYUJQ8NUfIap0A1KbifdP05cxRXzLCsqip3/+1xAMYBp6+axvcP3MbJ/73FC9/PQ3E4UDWHq3K404mqaaiaE23IaGY/9EiFvoSq1Ccyt978kZhFhCa4Y2RUvSqIAyzel8g9aSmcTswlIrz62kJNTUh7Hz5/dgzLlhzllY0nmPTRZm6KCuCJm3vjZal5Cd5udy3tWdzM9Ol3NaPLLYlmZKdw4tRBTp8+TkpyAmlxJ3Bk5HLdI89hKBEViqqWBOGdW6ZTFJXcZ3/EYHUje3kekAckIOwFCGchCsUoeieKCVR3ParVRHGcAH0g2LPQWTMJeOgKTi9fiv21N7AA+icfo/dtd6DWoaJ5ZtIZjq0/glc3E0b7UIZP/Rfrfp/CidOzsHgGERp1LthF0wqx2ZJJ9AiioFsGU/sPJaAOWYGdJX5edpvjTxv1VIoUNU2JTg8dx4G9CPb/iEf0dYwaOY7Dp75m9nufcef4AXToeC6/Qd8BQ+lbg5tCm+AQ1q75DafTydhRY1F1eo4c3EOvcsUvhaaxYf3vLPz5R66eOo31mzcxeVIdnePOp8c1cOw3Vx0rc32qBUnqg2quLgz03N3f22zky7sGcu3/NnPLJ9v44b4hBHiaaOP0A1xZf7/9bGlZqYPyaIqg30QdV+4MoPvJZEyFGRT0Gku/D16o0/j+uPF6NHP9ha3e6eS0n5XTq5fW3tiiQPtQfn/yGwLyzyV/dKquh6YqCAU0neJ6rboEhlAVhA4MBg1V54ui+iHUdCCs2lOF+vqgm3gNBdlZmFQVncGAqtOjKAo6vR6dTk/a1vWIxFOVD1ZB14Q3DU9VxS6ot6AB6BrmBWkpHEjMvqiiBlwzBpMmd2b0iEg++DKGj+NS+fVfv/OP0R25poYlqWKHa+nQUIVY8PUKxNcrkP49RtV7PNszt2A/9jsdX3kbe0oWjrQ8nNlFaPnFaIUawq6g5RvQCtwgx4Ji0qGaEwmePZ0j7/0fZ268Fo/TLt8426Qr6HrXPXU+98qP/svZQ3mcPdQOSGbgGAeXjfqRjesmsXff3bhZFuIb6JpZ2XMqE4A0dTTP/HU6xjpmht67xvVdzUkrwsPnzx3wIUVNc2Bwc0VCHVmGvutkLh/Uh8KiQrpF96tXNx26RNOhS8X09r3Oq+atqCrDR17OmtUrWLr8V4YOHNzwelIWP+g+3TXbZDBDxKBaD5E0DjanrVKysUCrG1/dNYhr/7eJ2z7dxnf3DcZdNaEIuN17GprQ0KoobqmgUJC8n4LofmjDgtAKCoiYNr5O4zh7IhGh5eMTWv8s0zOfe428pDP4deuBajCAJspmf0opdWZUVB2fLFpMwB7XeWa8Nhg/q1udb+52ezEfP7YUnSkaRanZkVdVVR69veYIq+fjjkFebqXtQqdSj8jceuOt19EQV9/U9Hw+23kSDBDk3/TRT3XF3Wri8QcGcd3hNF78fg9P/H6EBdtP8a9b+tK+CuHlKClBYTQ0rHZVteh0OO25eAyLrrWp5nDiTMvi7O5cdl0+DktyCgajgQJPC2HvvkPQZcPrdeqhM2Yy/5//IHrsBOJjdrDw3y8y85V36Nf/a3btup5tm65nxNgVnC5w5/XFP3JvD7h3eIc6CxqA3mMjCGxrRW9UsfrVXKqntSNFTXNhcIeAzrD233QO6+dKlHGssi8E4JqeL82iVh3ivLbnMTpcB5gh+4DrUXZQuU4VXD5AehPojOc9m0BvdD23GwXZpyFuHUSNqIfRkobyc+zPQOVoiQg/M1/eNYgZczZz9+c7GBioIIDHrn6pxv7eXnA7GSnFdH/zvnqNY8P8xYCeAVMqRwLVhn/PXvj3rHu0nN5ppDj3B4yeM/jy43088rdaoqvKYTAY8Qk/QVpsN2yFlcVIfVF1uiprPwmVJnUU9jXqKUDB5nBiqkNQAUB2ThGDdh2lwKBwv8NE3/Z+TTfABhLRxZ+Pnx3DskVH+OfWOCa+v4F7u4bw4I09cTOeuw05SvyhDIZGvjWpqstHsC5N9ToyE2LJfOJJ9DodullP0PuOuxp86rCuPeg76SpiflvC9Kdf4Jc3XmbJf95g0oNPYC66i0LLHNb8NpVYrQ339ojBYAjA21q/aFc3DwPtetccSv9nQYqa5sS/Iwx/DHR1T9fepGiaq5SD0waO0mebK9+OI/XcNmexSw/JcO5mw13vTqGjkBuW3MDNXW9mfOR4TCVO6J2DPfnsjgHMnLvVlbW6jvcwvbH+M3aZZ07i5hmG1a9+yxlHTyTw9ZtvEtqzP9ffOA1vr5qXrzKycsnatAwR0R1jW2+MezJ5+6l1TLqrO9271e2PdbvozqSfcCMvvRGuL1XvStVQabvSpMtPviY9FENGfjEhXnX7xe1hMRLohDxN8NSI6pMwXmwUVWHS1V0YMbItb32xmw8PJbH4pVRentKd4YNcy4VJcccBf5y2uhVprfvJFZQ6OnhrDgdxf/kLws1EtyVLsASHAOAoLMSem0NxTg72nBzsubnYU1LwHz4CczWZ7UsZPP0GDq5bzb7fV3DlI0+x6K1XeP8uV5yaR0gY7SadokNRDmFRr9Ip8hqUelQrl1REiprm5lIRNOD69aK6uZbHJJcUW2/ayqbETXxx4Av+vuHvvLzlZfoH96ezT2f83f0x6AzcOj6PBXv3A1Bsd2Cs4detV1A42cmHWf3FL4y6ZUqdl3X0Rjfys6ouGlsT635fjzXtOHlrTvDBH78g2vWm26BBXD52GB6Wyj5E8+bOQ68Vc+39d9M+MoyfV51g/y9xrP7PXlZ1sfLwI/1rDQ0OjogGYrHlXvifNVVf9UwNqtKky0++7kbIhfQ8W51FjU6n8lGPKCYfjuPZtUe4sWMwTxw9xRk9mAQ8YfXm9iGVi+xeLDx83Hn+0aFM35XIPxbu55aFe7hz5xn+ce8AVKPLZjdz/f4mxS35mINrllfeUfKV0Secwr+Oye923XUHlnxXYstj469A53SiOjWqu2Ky2wi8J0ZRYcrcEkDIbe+jN7uc/U1mM5fNuJmVc/9L/ynTufPdOZzYtQ1zaBT//G4DRd8uwFmkY+SwsVLQXCBS1EgklyCKonBZm8u4rM1lxGfHs/LkSnac3cGi44tIL0rHWTKLIDwEHgU67v1yO+/PHIDFVPUlfdXjDzHvyQfZvXQuPUYOJDAypE7j8A0NJ/307jq1zU9OIuHrL8ldvYbLjseT4OtL5Lxv+OXb+RQd3c2J2K28/837FHiGuEL5SotuCoElNxmtyxDaR7p+sV89rh1jhoTx/oubsR7OJSExj7Ztap7tMZhKUyXUb30ot7CQX9auJSsjnaj2HZg4cCCKTodS1UyNTkHXhCHdfh4mSHHN1NSHnmHe/OOkF8/rcvg24RSau+tungv8lpHD7Y0/1Asmum8oC6OD+e+Xu3n3aDKJb62nR4QvYMNcjfN8dRxYvYyTSfkEep/7/pf/mCKwYXKvXixomsbJH74j7+hRLFt3AJDXqT268HBwd0e4m8Hijs7djM5sQe9hwf7Ff3HGZxHcJx9d9iFXRyUiypqzlYzXt+P96DqM3q58Md1HjWP74h/Z+P2XTJv1PL79RnHbp9vINkbyzKvzaWvVY6qn3ZLKSFEjkVziRHpFck/Pe7iHyhEX+9euYvmH7/B5pwxunLuFT24bQIBn5egH/7BAhl5/Pxu/fbtemUazU5LR6asXE+l7Yjj93bcUb9qM+WwqKqB6u36dOnzD6NyhLU89+wSaprFn/1E2rd2ALeEEUBre7cqP496jP3fdVzExoNViBJuTTLNCRGjt1adL8z/VJz18cmYmH7zwd7yST+HQ6TnsdHB43FWoOj1UM1Ojb0KfGj8PV2hyej1FDcA9QyKxbzjOnvwiFrs56VIgmOHpybVD6+/k3Vw4FDv9BuQyOucgK852YnWWEzCVhXbXhC0jiU3/eRp7sY3ElHxCA0xM+79fqmx7YngP3COrX8Y89PqrqJ9/VXZDzA8OpN/CX1CrqWfoTEng9Gdv4vBWCHizcpRc6vpv8V75AGnvTyFk9mYUVUVzOIgecwXrv/mcdRt38NiaTDxMen7661Da+l06zt0tHSlqJJIWhtA0DqxbTXFhAYfWr0FB4Zu7B3L3V3u45sNNfH7HANoFVBYBosQJU1dHB1SAkD9+IkwT7H3m7xW228+ehT17MefkoVcUikODcF53DaE33YS1Y2dievdDRJ8r7KeqKn16dqFPz/plpXZa9Jgz7Wzfc5aBvWv2W3CWLKkdPn2G3J07cTidOBxOnE4HdocDh9OB06nhdDiw24s5uXoFXmdP467XseuqAVjCfTFtTydy1S+YALu1chqDZJuDX4sLEK+vK9smhMApXJWUHULgFAJNUPZaCNDA9RrXDMLj4zoyakRkpf59PF3LLpm22gs6no+qqjw4oiMZOUUs3X4ICwqTOgcR6HPp/fovKirk5UXPsbxgNTalGB9PK8PcxrAh3hURuunTV2jjZi+r4SSEVjKpp5WkU9JIOJlCYloxFqOG1U2lQ++KxTQLV3xL5pdzsadkYktzYB1xTtxpmpMFV44nWFNwL3ZgTk4ht1N7tIxMzFnZdPns82oFTeHvP3D6yedx2gRtnqragThg+I0kZiQQuvsVsp+PIM+9LUcSCtiXFQzoWPjxp4T1n8knt/V3zc5JGg0paiSSFkZqQjwrPnwXncGA027HJ6QNPcJ9+emvQ7n9s+1c8+EmPr5tAP3a+lQ4zllSPkBXj8iSNpl5AGg/LqywXej1FLeLRLl5LO1uuAn3wHMp2eP2HMHssOHXq2Kh2oZw/1MDmPvcZtbOOUDObQ7GDa4+/0x2iajJ2LKetPWf19q34hvImn4WznodpdBxBk44cA/rRIhuLNquLRDpikApctiZtOxRUjPWwYmHySWUXvnn/HtURUFVXM8GBXQo6FQFk6KU7CvZj4Kqwqr0XDYePFulqNEbdXjaBZmqo9K+uuJrdeMDnwCeT0llUkwsP/doR6c2Xmw4fJZv41KwqCovjuqMezVLlU1NVnYmD/50H4eI5Vb36xjT5XK69+iDqtfx7rfv8eUOb2L3HiVR2IBzSUeVktel//MaEGBRuOHtL8qWeACEw0H6328jdfFOjF4qbmG++I1vh/fds8raKIpKt/gkbHodWmgwRd5WDGeScMsvwP3pp/CIisJx+jhpLz1M3q4TqEYFzyE98Zh8LRlz3sNRAO2/n4uxV/Xh3aFXzSLJ4I7j4FLMOccYE5yGLWooX53wJSzQl2/vGYy7UfrPNDZS1EgkLYziIpcT4y3//g9+bc6VFAjzMbPg/iHcO28nN83dwn9u7MMV5ap7a5npdDuTxvFHnidOr0fn64fi5oaiU1FUXVnYa1mFYwQnQ3SYiwWFfTu5ouVUFdXHG4TAsHUfNl87XQIr1phJ2B5DIBA16MKj5fy93fnLi0OZ++Jmdn15hF4d/QioJg+Hr4drCt955fWM7h+IQadDp1Mx6A2Y9Hr0ej0mgx69TodRr8fNYGD4L3djpA/bp33KhKVPkJp3gr8/8rcK/X545DeXoAFsbrlgg0kTjdw3uGF12Eb8Yzk2R/VrWF5OyLY3XNQAXNU3jCGZvkzdcoRJB0/Qb6+OP9w0ghTBWaPCwH2JXNs/4oLOUR80TWP3/i0s2Def1cUbUIXKh/3fY2DPivXyJnTx4NEjD3L6wV8IixrVoHPlfv4qqYt24TcxmoDXvkQxVXY6Ls1s7YiMQJeZhTkzm1x/X3yemU3ktGuxH95J3I0zEU7wGhiFM6+QjN9iSFuyBwC9WaALiax1LCGTHoZJDyNSj8L7A/gsK4pOE6/gxak90Kn1qPgqqTNS1EgkLQxHkSvc1WCsPG3tbTYy766BPP7DHv7y1U5emNqdW4dEAuCZEk9AWjYF2nFXiOuBTJSS8gAIDUVoCEUtqxAMCrsGCwYf0TDvjwNcYbHueXa88lw35bNzv+L3zHScxaW/qlVMi7eSa3Knc9vG8eXw9nGj4+XhnFmcwJ79KYwb2bbKdoaSmZo2QcH061hzAcBSVEWHQysuey1EZV+O/JJq6K+P+5orQnrQ/pmf2XkqHwY3xBowKgo5RQ7OJuYiKFmeKlmyEgIsNidZtSQQrAuBPmaWDe3Kw+sOs9Xk5Hm9J/eOaEeH1XtIKqi/z059KbbZiDt1jD8O/s7i1GXE688Q4PTleq9pzBg6k7CQyp+jKHHO1qkNvzXlLl+BKUBH4Dvza2ynoWA9doJ8L0/0sx6n/213lkUFFq77FWehQtu3/4550i2usRUVULDqR7SMZMyTZqLzr9v32+7UeG3lKZ4Fbuvvx6SretSpUrekYUhRI5G0MBIO7gNcv34r1FQqwc2g470b+/CvpW4898sBErOKeGx0JHqDS4hEr/wRo6VujomvvTuUBcNz+Xngh7Tvei57dcLh7STefDtBZ4vh/V+w60AooAjQOWFLz0AGNjSTdTlWbzjFpl+O45nnRFOga9fqk/KoJTP5hfZiTuVnkGsvItdeSK7DRp69kHx7EfkOGwWOIgocNgqdRWRmb8XDoycABp0BuyMHh+ZEr55bFtCXhNj28A5DVVUURStLEtcQLDqVn9Ny+Pk/66pt4xXt3+D+y+Pj5caXU3qXJXEUQqAAzpKvS0GRnZ9iTnMopxCrQceMriFEBVvr3L+maaSln+X46SOcSDlOfFY88YUnSXCeIVmXhqZo6IWOYcaBPNblbwzvMxZ9DfWSNOGaoVKq8WepDWdOFjn703GLqD15k+6KkeiLcunz6rvovCu297juL+g/+o7Ud98mYuy1KCZ3FDczlsm31Gs8eTYHf/16F7uO5/KsAa7sYD63niZpEqSokUhaGMUFBQB88vDdFbYrJZFEiqKi6nT4u7vzsF2jcJ6N9z630SYjl16ATq37DWOotRd72cCSTZ/zcDlRE9FlABE7DlBsK0BvOFfO4Hh6MlctHs/k0Jsv3FBg04JY3Io18tu4M2RMOG0Cq4+CspfMuPy67zXeSd5Zp/4VwN/iWsK7rv1EXktaRJ9vx2A1t+ery18nysMffcmsQXFpiLei4axHBNn5vHtbfw7Fppf0pZT5iqgKJKUV8vzuk5w4feFZkctzrrijQogd3iOXX5buJsEABTpo44RMBT7Yf5zn4725Y1BkBaHscDjYe2QnW2I3UuAoQIeObdk7iOMU+TrXcqgqFIKdAUTo2jDcYwiR3pG0D+xI1/Y98bb6VDmu8ymbqVEadmsq3r8VAO/Jl1fbxn54J+lvP4+6PhaHUIgbP4x2v29E9TznGK76BBL67BMkPP0GZ2aOI2zBxnqPJSWniDs+305CegFz7hgG35qgKKve/UjqhxQ1EkkLY+Qtd9KmSzecdrtr+UJz+b8ITZT5w2hOB8WFhQgEx1IK+P5QLhPc4+HUClRj3RNAPnDnh3w1JxqdoepZF6OpYmTNJzuXAHBX38kNNa8iJhXFpnH55PYM6B1UY9PShMkKKtf2fA5vowdmvRtmvREPgzsWgxueejc8DW5YDe54Gtzw1JvKBNnN7S/DpPuYlzY+SU7Odr6KXcuzva9Fr7j2250lswiKwHEBWYWj2vkQ1a76m/xXRXmcTGxcUVOh/97t+eLgGTJUJxN0Bq7tEkz7UC9y8238/Y+j/L0wm53LD/DWqA6s272S5SeWsaV4F7m6fNw1Ex6aBZtSTLS+Czd7zaCdbzvah3YiMqwDpir8V+qDVrL8p6oNS1KqJccBULDpd7Bl4dZ/GIrBxKlHnwRNoPfQU5TqQNVDwNR+GNp3JfHtr0l/4QH8X/+qbIZIy8lAS0/EaFXIO5Re73HEpuRx26fbcGqCH+4fQtcQK7h7Q2FWg+yS1B0paiSSFobB5EbXYaPq3H4I0CUug2+ef49xQFKujVDvuof5qkLBrtXNcXVD0jrctSg6+tctuV91OJ0aOYU2hl4TyYYvjrJ+zj5WRh7i0YeGYjYbqzzG3ei6oU5vP52ZfRomqq6LHEhPn++59ufL+X7PS3TxjsBQMlNTpLnCrBVFw9mEpRKCrG4cO5ZBkUPDrR5FDetKVKiVF0IrLzF5Wky8Nyma/ptP8LTIZt2SNyD/ByIdbZhmvZIRHUbRt8cgDIaq//8bA63ke6bWYzaxPKZ+o7D2+pqik2nkxCyHT1xZho0+Cp6DuuNIz8R7cjRe9/wD1ceVt6b4UAxpS2LIXNUD1Q1UnaA4G4RTweSnJ+Sh6fUaw/b4DO7+YgdBVhOf3zGQUO8Sx3Y3LzlT0wxIUSOR/AkYGOWL94go7NsVpn+wmbm39ic6rG71nPSagl2rPW9Ken4eGdpehvrfVG2b1d/ux7ovAwVQBahQ4bUOOKQ/QYw+vuwYxU+HyOmIV1wgC77YyK1/qbq4ploSTXKhCX87ewUzo9fz/LDnRf75x514GL0AgVau4y0HfRj0zy+4fZAHfxl/zYWd8DymdQtmw9YzfLTnFA/3q9opuikJcTOhFoCqD0cDFt9VRfmBJqJ0+amhMzX6tl1o8/16ABxJCRwbfQUGD0H4x59j7D6oymMC3p6PZcwnFKxZhlasoTnAKyQIj6kzMfWpX0XuX2LO8OSCvfSN8GbOLf3xci9nh2qAOv44kDQcKWokkj8Jpj9W4RSCEIuOa99fx+NXdOGu4e3LxABQZVSGQVOwO2uPlnl88XwU1cGUDtX7MzgScjEISA43u5xISkJrXWHlIDLT2ZedgFlnJrD3QCzuJjzc3UhYexL7KcGQ4dVXL9apOgQaWgNmUU5l7EETToKtnTEZLDzZfQKdTUUknXiRHu7J5Djh+PFX6Os3h5uGerD7yHr2JQ1nR3xSjf1e8dtejsVl0clswqkJnE6BprkingQlEU8lEVBl20rG//3O0xdF1PwrKYUoRaF77k4SndXnBWoKSqPPqkt8Vx/0IRF0XPYjamAYqqUG52dFwTzlbsxT7q6+TS3k2xw8v+gAC3aeZlqfNrx2TXTlKuua3SVsJE2KFDUSyZ8EY2RbCrZv55UP/+LasBCO1uE4/T06is11SFuftZUgNRDPH3JZy4aSrcI1CyNA1SDcIUg1KVzx1/6VjhdC8NGr/8Vb58G9j/0Vk+Wcf8Ynvydi1zvo2KP6m7yiKAhFoNUzMmnXyR/JPP4UAIcEFAsVd0XDTwFvN0hS2hKiOwl5q/hq7Tg6uxuIHhzCnDXHgZqLTh48mIYuuZDjnkUoquJ6KIorAEYBBddrpeQ1uLSeNdCd/pF1c65tbCLQkWK3sc25ngcCG36jrw1N08jJySQhKZ4z6ac4k3UGW+If9AXURro16aO6NUo/NbH/TDYPfbubszlFvHFtT67tF1Z1yLbTDjp5y21q5P+wRPInIWj2bMyDByPsdtAERxOz+H7HaYQQzOgfTpcQT5ej8XmYCv+HPrxTjX3b7XYSjDEMyx9OsXvFPytCUUrWllRyVPDpVjnc1ulwsviTBSQVpzO5z7gKgub4gdMUpujQmWufulcVjeKsDSzatZ7x0S/gZqi9ZlS+Lc317D0Nh7MQhzMf1RSCt0c7uoZcgZ9HBAt3PIQ9czU6LYVANZ+kvAygd619R/t5cDTPwbF/jK+1bXOy8egxzDqVXpGRlWZFwo0Gdig5uAuFa4bd0OBzaJpGSloSp8+e5Ez6aRJzTpOYn0Sy7SzJzlRS1DQK1KKy9kbNwFSbSwyYuDCH4+ZA0wSfbIjj9RWH6Rzsya8PDauyPMm5AxxypqYZkKJGIvmToJrNeF15Zdn7gUC7PBtPzt/DDUdSuTMyilkTO1eaNjctno/mVvMf4y171pGjy+fGsdfRu9vAeo3LXljMd+/P40TuacZ1HEq/qeeyzBYX2Vk+5wCKw8jUv9ZedkFRNHxENpas31my9leKFRMgUIRAcVVeQqnwAG+dy18ouu0NRPlVnkECmNb/PQCSc45xYMcESpP115ZyJNjbjYOHHdidGgZd4zv91pecwkKmL13Dfl9X4ji3Y9sJL8yhq15wY4d2JGbrWeIsoohMJuqH4uPdsHw5OblZPLLgr+xQ95VtM2tuBGn+BOsC6WOOpo0llFCvNoT6hRMe1BZ/3yDsK76B9AdQLyD5XnOQklvE4z/sYf2xNO4ZHsUTV1S+birhtINOipqm5tL+5kgkkibF38PEp7cP4LON8by27DBbTqTznxv70KFcPhiDasBRi4PjqnWL8bN60bNL1aKgJlZ/s5QTuaeZdtmV9Bw/oMK+BR+uhWIDwmgjJKL2G6yiCPz9xuHTYRLJcXMQwgGKioLqqgiO6srng4qi6EBRSUXFaPSlrU/f2rrneMofAIQoqZyrQlQ9A8K8We08xYYzmYyuQ0K4puY/G7dy0DuIZw1F+Lq7sz05h0PCySrVk0XJ+QD0LCiguPADrur2eIPOkZxyhvsX30uyksrzYbPoEtadsOBIvL3qsJwmSpYOlYsvAKtjzZEUnpy/B1D44s6BjOxUffXvCmh2OL4abCXh+qVV6lGqeK2DXjeAb1QTWdF6kaJGIvmToygKdw6LYlA7Xx76djdT3tvAC1O7MaN/OIqioFf1NYoaTdPY4rmXAXk9ynK+VMfnH31GfOJJwt0CcQgnDs1Jqj0LFOg+urKoyE21g0Fwzxtja+3bZYzL0bZ3xNX0jri69vb1ZHC72/mt4DRZOftdp6vl5juhnT//BlbHpV9UUeN0Oli5/xDf2A142XN4YKwrguxGwOlw8NYt15DVrg/3/vVhth1ewj9zTtMhojMAh47t5aMtH6IhUF1eQCgoqCU3YVUp/x62Fe7CoTj5dPhcunWsX/2v0uVPpRGyUTc2NoeT15cf4ZMNcYzsFMCb1/UiwLMeFbY7joczu+DYby7xVlJfreLrkkduouuY0bObwpRWjRQ1EokEgO6hXvz60DBeWnyQWT/uY93RNF6ZHo1e1RObFcu8A/PQqToUFEI9QhkVPgqAg4d2YU0sJFoJYON/PkcIV1FM4dTQNA3N6XRtczpJPXMAk3CQQgIA7r6h9A7pQafoLugMlafvPf2MZGao7N0Uy4DRtTt9KopWkoywadCpeib2fAGAzzZ9hqtWdPVEeZlR3XXEnMlusjHVREZBAU+uXMcGnTvZFi/cFZXJ+opO34qq4qmzEJCUSKCbyj9Pvw5AmwBXpuW1h1axxrmJaNEFEGi4kjyW/tNKlvW0kvdtdWG8MP5lwkMj6z/g0tpbl9hMzfHUPB7+djdHz+byzJVdufOyqApRg3Vi2v/q3vbNzufqfkjqhRQ1EomkDLNRz2vX9GREpwCe/nEvk/5vPd17eXEoYxuHMg6VtVNQ2HHzDow6I6tXfsOgg75kqvvZwYGyX/KumlQqaslDUVQsCIoUO+gURH4eRrMbVz9UvTOqu5eBTJzs+T2Bdt1C8QvyrnH8iiLQLqCEQX0Q1GUBCnx83UlIyW/q4VRie1w89+w9QYabD6OKc7jG38CkbtEYznMMVlWVKQ/N5sd3n2fj/z7HP9yXNJFRVi/Krjnw1Cx8eef3TT/oUkf1S2SmRgjBDztO8cKig4R4u7Hwr5fRo03d8jtdEJrjkhN2LQUpaiQSSSUmRYfQK9ybR7/bzYa4OHTn1b/0MHiUha1mxh5HjfLgidfqd9N776F7XAU5a2Dg2K4sPbmTojQd376ykXG3d6dLn8jqD1BFmVvGpUJbPzd2HUrnw7XrQNWjCQ2HcCXzc2olz+UeWhXPmqDkNThL8tuc2++aL9KEQAMcQKGiY6c1AG9V5Yf2/gzuUHXiuVLCBkXTtcMwDu5fx1MjH+Gp489z7NhBOnXqjkNzoBfNdKu4hHxqsgvt/H3hPpbsTeL6/uE8P7UbZmMz/T/o3SAroXnO1cqQokYikVRJG293vr1nMFf8oCMxLZp2uht4Ynxnuof64GHwwKAaOJV8HEuqg8AR/ep/gjqsErWJCuSef04k/nASS949xO9zTrCj/TFufrLqBH+KolXKKGzPicOedwpz6Ij6j7ERiCpMYpfdwIsFZjgv3J1y925F08qitFShoQhQhIYqQMH1XhUCtSSay/WM6xnXPgXQCYFRczAxP5U3Lx+JVx0rsncbN459R1cTUeCNm2ZiUcxPPNGpu2v2pJkKSyulouYiztQIIVi2P5mXfz1Irs3Bf2/qw+Seoc07iAF3wZpXYPjj4NP8CRhbMlLUSCSSatHrVEK93OnoE0z8YW/u/CSWGf3CeXJCZ8wGWL12AQDjRs2od9+aw47evebkdaW4eRgQCBQUCjOdfPfOGvwjPBgzrd95DsQChEJB0gayT/3KmbTFZLu5cqEM4TP05jYgHAgEqmpE0RlRdCYUvQXVUPd6WKXUFtINcPuQaH48dpgXi7K5dvhAdDodOlWHXqeiV3XoVJez7cUm9LLuWOZ6E79hG1dFT+C7vIUM3zmSQkcROppJZDjyXM8XaabmcHIOLyw6wJYTGYztEsiLV3UnzKf+34sLZtB9sOVD+ON1uPr95j9/C0aKGolEUiOKouDnYeS/Dw3jm20JvPXbUZbuS+KRcR3JXrje5TgcGNmgfs+fVklLi8Xfv0Oltp7eZoTRBsVGbPkaxRmC9CO5mD33M3R8z3KdgmbPZ/ee2ykyCsrncNt8+I5qx6I6BUP7/YrJt/Ez0HbrFIle28fpFAd+np6N3n9joep1tI3qyYnjO3ng4f+yZdEO7t7/AADhIrhZxqBPXOp60cwaL6ugmHdWHuXLLSeJ9LPw2R0DGN05sHkHUR6jxTVLs2I2DHsU/DtevLG0MKSokUgkNSKEa4ZEr1O5dUgkU3qG8tbKI7y+ZCf3AZqlgdlfVZWCU3G8efN0QCNoSB6hXeMoLGwH+JSWhSopJwChQ71I+uNaFJsbQnWgaHoctvMieTQ7OfmHMBkFnU0T8Gt3E057LkVZh9CcBSUOzCWOssKJptnJzzlAnG4n2fELCPB+pkI48ZEjSzh5cgFCOBE4Ac1Vn0hoOBxjsdtrv/vq9DqC1AKOpzbsv6k5GXDTDI68uIntH33Fdw/PZ+ehzaTmpBDuH9Es53f6D0WXsaNxywns/xEStlJWm6IcGoIjybnsOplJewG/dPCmW4gXurgVEFeuob3AVWX78pcab1y10f8O2PSeaxnqus+a77wtHClqJBJJjSiKgijnAONjMfLy1dFEOtaTHQffBIzg6LwdPHtlNyL86j5VP2DKdDZ+MQfFXox7QCFeQWnYi/ujUzNBOQucm8jRBLh7HaXj5B0kbr2LgpRutOkHQydEV+jTaNcIyDbQO+BhfLv9BUVnBMAjYkK148g7uYS44zvZl/UFrP0CS5EOE27YtUjS1CT0hhwcDj9cDjDnHpqmo6CgboKurQXimz8Aqt74d42kb69J7IhZTNiKHgyfNq5u+YEaCWFyzY4ojRXOnBYLC+4ErwjX7Ec5CuxOUnKKUB0aY931+HuY0BcpFcVMKamHXc/NKWr0Jhj5JCx+BIY/BsHRtR8jkaJGIpHUjILCutPruPHXG8tykwghCNqeTiTuPJyyBEfyryxfBQadgkGnoijgZtLjF+hP5GUTiBh1baUaQ4fWLkTRNAJ6phPYtwPDhn+Lh0f1U/52h42DB+bjbsjiwKIinIWp6A0V/4Spig6zZ2f8oqtfajofS/hEBuvmkpnwE9k5MSSbEsm2ObArCSBAp5vA+Mv/r9Jxr29fiN1Zt5tvl2APtsYKiovtGI2Xdqr8oY/eRuKTR1j2w//xx8LPaBPahU7DhxMS3RXPsEBUfdOJHKE5EUJpvNWnjOOu5zuXg1cbABKzCnl12WEW70mkV5gXL0ztTueIWrIdb5sLy2bB7q/A6OF6mEqe/dqDoW6+YfWm90zY8C6s/hfc9F3TnKOVIUWNRCKpkZu73cyGMxtKKkqXZaFB5/0zgWEqIeZANE2QkV9MZkExdlXBz2JA53Bw9GgiOw98icePy+g1dgLRY6/A4u3Dgv9MJjMOjFaNvlc+RY/e02odh0FvolevmwEoTl/A0Q1B5GWn4uF1Xpp6Ub9boqKqWMLGYAkbQxjQHfj3C08TZrYzacbt+ERW/QtZp4Cjjon+erULxnk8lT2HTjCgV+d6ja+50bubmPGfNzj+20ZObNtGwvF9HPtqGwDueg+mP/USwb1qLnDacOqa/aeO5Ca5+vMIosju5OP1J3h/zXEsJj1vXNuTa/qG1S2Jnn9HV5j1Lw9U3tftKpgxr/HGXB6dAUb/HX66B05th/ABtR/zJ0eKGolEUiOXt72cy9ueF0KdtAdsb8ED70C7kWWbT2UU8PKSg6w4cJYBHX14P2gx4sBv7AkYz9af57P5x+/oOHAIJzeDd/ts7nj5jwYtb3QbFM2RP85wYOsmuvQbwrn4cIX6JhQuLCzkzLF9eBpdodMFWakU4kaHyKBqBQ2AqgjO5mv838+bXDl1BSWzWK7XDk3D7tCwuOkptLnKTHzz0wqS9m3BbrdjKy52ZebVzs1+VXwA5ba7u7lx/T33odc3/UyPqqp0nDCcjhOGu6pt7z1KRvwp/ljwGWvnzmHYzbdxJmY/aafiMZk96DR8GOHD+5TlLmowQqNRRU3sKoQ1lN8Op/HykoMkZRVx57AoHhrTAc9airRWoN0o+EeiqyhlcR4U54Mtz+XIW5jVeOOtih7XwPq3YfU/4bZFTXuuVoAUNRKJpP4cXQFGT4gYUmFzuK+ZObf0Z8OxNF5cfIDvdyZym1sGXa+9ixEz7+TAH6vYt/o3AHxD2jfYX8PsZQXOsOMnT3b8tL/cHj8cjth69bX198Ws3XGw0vaIrjXn3nF35hNb7Ms7WzKrbaOioZULh07XYFdsHAiBomlQkmOmFNdrUe71ub0OnZ7dGzcwYOTo2kxqVFRVJbh3F4J7dyHvbDrrV3/F9+/8HQUVL3MAhcV57Nn7GwHzIpj24gt4tml41JDSyKLGHr+Z1bph3PflTkZ0CuCz2wdWKNZab3QGcPdxPQDcfSHvbOMMtjpUHYz5B3x/M8Stg6iLk2+ppSBFjUQiqT9HV0CHMaA3Vrl7WEd/lj4ynA0/H8K672c+eudRTnb/K/eNGM1tk65i/e9T8A9ueESNt18Il99/koLs3HMbFXBb/TY+ofUTSsFW1y/2qX1DCQhti6KqmCxe+HesueL4MPckhpjP8tCDD6LgWsZSAFV1Lc8Z9DpUVSWvoAiHJtDrVNwNV4CioKpqvWY1nE4HL7/wAof272t2UVOegffdQPuxg8k/m0lA13a4+3rhdDg4snQtK7/9gCWv/pvr/u/f6BoavSTgQkWNpgnWHEnhh9XbmFOYxma3Tnx8a3/Gdg288Jmk81HUSmkJmoQukyG0D/z+T7jrt7olSPqTIkWNRCKpH5nxcGYH9L+z+jZCYDi7h9HpLufGUd3DeDQhk8nvbWB4R3/u6KSh6ivfDByOXE6e/AhNs7m6QcPNFEpEROVzdeo9uNK2gm23YDPUL9eMW4njbkTXfvh3rE9mZIFJp+BprjkCyqOW/XVBp9NjNRpISk274L4uFL8Okfh1iCx7r9Pr6TZ1HDrVwK9fvsH2ud8z+P6ZDerbFTqvNkjWFDs0Fu1J5KN1xzl6No+/BewG4LkH7kH1bKKcM4pKs9TlUBQY8wx8dY2rynenK5r+nC0UKWokEkn9WPgX13N+qisHSOkvVeGq1owQsPJZ17R8UA+4ayX9wwey1qmxdH8yc/44zvG0QvaePc1RWyKTegSj17lmV7KzdxN/8gPc3SNQFANORx624rOEhd2MqlY9K1QBUX9H09K8NEJz1tLy/FOJxv/lXwMR4eHsiztJXk42HtZmKKpYTzpPHsnBNb+zY90iek6fhDmwloiiqhCg4HD5kMC53DI1PBc5NHadzGLTiQxyiuzcGmRl2KgA2p76A7wGNp2gAdfSUN5Z2PtDyQal3Lgp9/r87UrF11W1ExpoTldxy9JngG9vgGfTL5min5caUtRIJJL6ET4QEjbBquerb6OoMOxvMPofLj8EXCUXpvYKZUrPENZs9OJoOjz87W5e93HnnuHtuLZfG9LSVgPQt++3uJmCSUpayMFDT1R5CltxGjrVDb3+fB+J+gkNtSQniqjnL24hRLPmcOnZvz/74hOI2bKZYeOrz7tzMRkw4zpOvfsiXz/5N67/1+tYw+onKDT3KDSs6Da9R5lARpQsS5V7D67CoE4NoWn0FYIBqoLOBGqWgG0l4nZK5VD8RsU7AmK+dkUnNRdCczkru1mb75wtCClqJBJJ/bj8RRjxREmhw2p+QeuM1f6SVBQFXw8fBlrsLOwRyI+7TvPj5gXkJf5BF9+DuJu7YNB7lzYGYNPm0SAErjrUAILi4gx0OjeMxkC8vQfQretrDTKnNNGb5nTU67jmnqlp360HqvMHjh46eMmKmrBB0dz47L+Z9+Ij7PlhMcMfu6tex9s9BpNl+p7QWdVXFT+emsfcdSf4adcZjHqVmwZFcMdlkYR4NVGumJoY9TRc9ihl0XflRFfl13BOmJ3/uoo2iuqaCVL15R46l6hprOSErRApaiQSSf0xXVgNI3dzJKdPz4PMzYz2g9F+UKC14X9772Vfek+uPxvL3cPbEew3knZRj6IJB4qiK8mQ4xISqs4NoTlISV3K2bO/EBw0BZOwU6fy3+VQ6pKnpLpjm1HUqKqKt7uJs+nVR1tdCpg8XZl7Yw9uZUjRzejdTHU+VtidqMaqb9i7EjKZ88dxfjt4Fn8PE3+7vBM3DYrAy/0iJzM0XLjPVL1QpKCpCSlqJBJJs9Oh/VOEBLsS7gkEBr0Vd/dILhti58vNJ/liczxfbjnJxOgQru13PcM6+GPQVT3zY3IL5uDBx9kdcyuDAFWpg+9NI+B01s8HpzFo27Ytu48eJzszAy8f32Y/f12whgczaMh0tm1eyO6vfmbA3dfX+Vhhc6IYz33OuUV2fjtwlu+3n2JbfAbtAiy8Nj2aq/u0waSXN3dJZaSokUgkzY5O547V2rPSdl+LkUfGdeTeEe1YsPMUn2+K547PtuNrMTIpOpipvdrQv61PhSywwUFX4eszBE2zYzp4FYq1V73GIuqbra8Ep9NJRkZGg45tKD37DWD3sRPEbNnEyImTm/Xc9WHwX25m99alZJ+tXw4XUawhDDqW709m0Z4z/H4oBZtDY2CULx/d0o9xXYPqlgFY8qflgrzcXnvtNRRF4dFHHy3b9tFHHzFq1CisViuKopCVlVVrPx9++CE9e/bEarVitVoZMmQIy5Ytq9Bm1KhRrhTt5R7333//hQxfIpFcorgbddwyJJJVj41kycPDuK5fGKsPpTBjzmaG/Xs1ry49xP4z2WV+LSZTEO7uYaiKvgFLQiXJ7pT6/zn08mreKKS2nTqjOu3EHjnSrOetLxlHEyjWimjbt3ed2jucGuuPpbI3LoPNCZnc/9VO4tMKeOzyTmx8egw/3DeE8d2DpaCR1EqDZ2q2b9/OnDlz6Nmz4q+tgoICJkyYwIQJE5g9e3ad+goLC+O1116jY8eOCCH44osvuOqqq9i9ezfdu3cva3fPPffw0kvnqqSazXWvCCyRSFoeiqLQPdSL7qFezJrQhZ0JmSyKSWT+ztPMWXeCdgEWrurVhqm9Q4nytzQopFs0MHmaoij4+DQgbPkCUFUVbzc3UjKzqtwvNK0sRP1iYcvJZ9m7b6JXjQR261BtOyEEuxKyWBRzhiX7kkjLK+ZDgwfBAWZW3dz/wjL/Sv60NEjU5OXlMXPmTObOncvLL79cYV/prM3atWvr3N+UKVMqvP/Xv/7Fhx9+yJYtWyqIGrPZTHBwcEOGLJFIWjiqqjAg0pcBkb48N6UbG2PTypKtvbPqKD3DvJhXUIz55FaMa16lLIpEs59LkFY+l07p+7PpQAgbdh/GPT6rZPM5oVP6uqrnzMxMFi2qXI+nfJvyj/P3V9VvVceVf2TYnaDo+OTWcaiKiiZc9a6KnSpFJVXD2wWp5wJvyo+rnOArX4yhTAtWCMbRKC1kJcodJM7rWFUFeq8QdP7t0BuNnDlwgNy8NEa1uQH72kzSyHRFsZUEx+XaHJzJKuJMViEFdidd9CpjfKyEtTHjfiYftzAvfKWgkTSQBomaBx54gCuvvJJx48ZVEjUXitPpZP78+eTn5zNkSMW6Ml9//TVfffUVwcHBTJkyhWeffbba2RqbzYbNZit7n5OT06jjlEgkFw+DTmVU50BGdQ6kaJqT1YdTWBSTyMqUtgzP34PhbDxuRh1uBr0rZb+iVht+7iNMtDF6cDYrH7LjgXNRTeWXss7fZjabMRqNnK3Gb6R8+9JHbX1Xd1xpWQVFUegUHkjO4a20tWSiD+uLqiioKhiMJvbGHKPQrqAoeigp11BeqSjnv1YoCR+uou6UqgOlJLtvuURxilLa2LVNK8rDkXYAp8Edm8GKZ2AAAZ4RhHWLLtGPgsJiB6m5NlJyiigodmJQFcI9TAQEGLG6GVynLdbA3x33bn7VfOoSSe3UW9R899137Nq1i+3btzfqQPbt28eQIUMoKirCw8ODhQsX0q3buXTnN910E23btiU0NJS9e/cya9Ysjhw5wk8//VRlf6+++iovvvhio45RIpFcergZdEyKDmFSdAg5RQtYsT+ZRXsS2RibhiagU5AHgyL9GBjly6B2vgR6VgzB9QCaMXXahaNp8MbrMOk+GF1xib/67C5NPJ5vroPk3+ChXQijhbi0fFbHZbAtLoOtJ9JJzC7CbNRxebcgpvYKZXjHAIx6mRFX0vgooh4LyqdOnaJ///6sXLmyzJdm1KhR9O7dm3fffbdC27Vr1zJ69GgyMzPx9vaute/i4mISEhLIzs5mwYIFfPzxx/zxxx8VhE15Vq9ezdixY4mNjaV9+/aV9lc1UxMeHk52djZWq8zEKJG0dlJzbWyITWXrCdfN9URaPgDt/C1lAmdglB9tvC9C0rYL5buZUJAOdy6/2CNB0wTxx/bT7tthfBTyInPTepCaa0NVoEcbLwZFuf6fL+vgh9koA24l9ScnJwcvL6863b/r9Q3buXMnKSkp9O3bt2yb0+lk3bp1/Pe//8Vms6HTNSx3gNFopEMHl1NZv3792L59O//3f//HnDlzqmw/aJDrN0l1osZkMmEy1T3pk0QiaV0EeJqY1ieMaX3CAEjJKWJbfEaZyPlu+ykAwnzcGRjly+Ao12xOWz9zsybVaxDtRsHyp8GWB6bm9T9xaoJDSTlsLZmF2R6fgSjIIMYNMgvsXNsvjEFRvvRr64On20VOjCf501EvUTN27Fj27dtXYdsdd9xBly5dmDVrVoMFTVVomlZhpuV8YmJiAAgJCWm0c0okktZLoNWNyT1DmdwzFICM/GK2l4qc+HR+3n0GTUCQ1cSgEoHTr60PUf4W3AyXWKK3qJGuAocJm6Hj5U16qpwiO8fO5pX8X6WzIz6TXJsDk16lT4Q3twyJZIy3BZbArKsHQ1SXJh2PRFIT9RI1np6e9OjRo8I2i8WCn59f2fbk5GSSk5OJjY0FXL4ynp6eRERE4OvryoA5duxYpk2bxoMPPgjA7NmzmThxIhEREeTm5vLNN9+wdu1aVqxYAcDx48f55ptvmDRpEn5+fuzdu5e//e1vjBgxolJIuUQikdQFX4uRK7oHc0V3V0RlTpGdHfEZJTMQGSzZl4RTEygKhFjdiPS3EOlvIcqv5NnfTLiv+eJktvXvCJ4hcGJto4iaPJuD+LR84tPziU/LJy6toOx1en4xAGajjn5tfbhvZDsGtfOjZ5iXy3ZNg++fB3dfCOt/wWORSC6ERl/g/N///lfBQXfEiBEAfPbZZ9x+++2AS6SkpaWVtUlJSeHWW28lKSkJLy8vevbsyYoVK7j8ctfFajQaWbVqFe+++y75+fmEh4dzzTXX8MwzzzT28CUSyZ8Uq5uBMV2CGNMlCIB8m4NDSTnEldzs49Ly2Z2Qxc+7z1BQ7CqRoCoQ6u1OlL+FyHJiJ9LPQrivudrSDheMokC70XB8dZ0PKSx2nhMtJc/xaQXEpeeTmntuVtzHbCgTbyM7BRDpb6Gdv4XOwZ5V27PxHTiyDG78Fgwt0D9J0qqol6NwS6Y+jkYSiURSHUIIUnJtLrFznkCIT8/H5nDlxNGpCmE+7vhajFiMesxGHR4mPWaTruS9HotJh8Xk2mcx6rGYXNvK7zPqVIrsTvJsDgqKneSXPJtPLKfPpgdYOWAucZ79yLe59uUXOykodpS9Lyh2cDbHRnJOUZkNnm76SkIsyt+DKD8LXuZ6+MEcWAjz74Dhj8HY5xr7v1oiAep3/5aiRiKRSBoJTRMk5xSViZ2T6QVkF9jJK3ZQUCI48suJk1IR0hAUNL4xvEJH9TQzlVfIMYW6xJGpnIAqEUd+FlOFWSRfi/HCnaHPHoC5Y6HLJJj+MVzkTMaS1osUNVUgRY1EIrkU0TRBkaNkJsbmJL/YJXpK39scTszGirM3pTM/Fmc2ps8vRzFY4K7f6h4J5bS7nIwjhoKugV4In0+G/FS4d61cdpI0KU0W0i2RSCSSxkVVFcwly1F41vfoQLjxO/h4HHx7A9z8E+iNVTctzIS49S7n4qPLIecMdJ0KPWdQVi/LaIGIIWBwq7qPUuLWQfx6uEH60UguLaSokUgkkpZMYFeYOR/mXQXf3QhtL3M5EKfHgl8HcPeBlEOu9wjwbQ+dJ4LZH7bNgUPn1a4KioZ7fgd9DXm+Nn/gatd5YpOaJpHUF7n8JJFIJK2BPd/BwvvAYIGoES6xk3EcirLBvzOE9IKo4eAdce4Yp8O1v5SUg/DlNPAIgojBENQdAruB2ZWOA6G5Hp9NBL+O8JdN1c8MSSSNhPSpqQIpaiQSSasnJ8klQGqaZamNpD2w+2tIioGzB6E4t/q2s+JdM0ESSRMifWokEonkz4i1ETKsh/RyPcBVwTsn0TWboygl1c5VVwVv77auZ4nkEkKKGolEIpFUjaKAVxvXQyJpAcjEAhKJRCKRSFoFUtRIJBKJRCJpFUhRI5FIJBKJpFUgRY1EIpFIJJJWgRQ1EolEIpFIWgVS1EgkEolEImkVSFEjkUgkEomkVSBFjUQikUgkklaBFDUSiUQikUhaBVLUSCQSiUQiaRVIUSORSCQSiaRVIEWNRCKRSCSSVoEUNRKJRCKRSFoFf5oq3UIIAHJyci7ySCQSiUQikdSV0vt26X28Jv40oiY3NxeA8PDwizwSiUQikUgk9SU3NxcvL68a2yiiLtKnFaBpGomJiXh6eqIoSoV9OTk5hIeHc+rUKaxW60UaYdPR2u2D1m+jtK/l09ptbO32Qeu38VK1TwhBbm4uoaGhqGrNXjN/mpkaVVUJCwursY3Var2kPsjGprXbB63fRmlfy6e129ja7YPWb+OlaF9tMzSlSEdhiUQikUgkrQIpaiQSiUQikbQKpKgBTCYTzz//PCaT6WIPpUlo7fZB67dR2tfyae02tnb7oPXb2Brs+9M4CkskEolEImndyJkaiUQikUgkrQIpaiQSiUQikbQKpKiRSCQSiUTSKpCiRiKRSCQSSaugVYqao0ePctVVV+Hv74/VamXYsGGsWbOmQpuHH36Yfv36YTKZ6N27d536PX78ONOmTSMgIACr1cqMGTM4e/ZshTYZGRnMnDkTq9WKt7c3d911F3l5eY1lGtB09iUnJ3PLLbcQHByMxWKhb9++/PjjjxXaREZGoihKhcdrr73WWKYBF9e+5vj8oGlsjI+Pr/TZlD7mz59f1q6q/d99912rsS8hIYErr7wSs9lMYGAgTz75JA6Ho1Htg6b7ngJs3ryZMWPGYLFYsFqtjBgxgsLCwrL9Lfk6hNrta8nXIcCoUaMqfT73339/hTYt9TqEutnXXNfh+bRKUTN58mQcDgerV69m586d9OrVi8mTJ5OcnFyh3Z133sn1119fpz7z8/MZP348iqKwevVqNm7cSHFxMVOmTEHTtLJ2M2fO5MCBA6xcuZJff/2VdevWce+9917y9gHceuutHDlyhEWLFrFv3z6mT5/OjBkz2L17d4V2L730EklJSWWPhx56qFHsKuVi2tccnx80jY3h4eEVPpekpCRefPFFPDw8mDhxYoW2n332WYV2V199dWOZBlw8+5xOJ1deeSXFxcVs2rSJL774gs8//5znnnuuUe1rKhvBdcOfMGEC48ePZ9u2bWzfvp0HH3ywUnr4lnod1sW+lnwdlnLPPfdU+Hxef/31Sm1a4nVYSk32Ned1WAnRykhNTRWAWLduXdm2nJwcAYiVK1dWav/888+LXr161drvihUrhKqqIjs7u2xbVlaWUBSlrN+DBw8KQGzfvr2szbJly4SiKOLMmTMXYNU5mso+IYSwWCxi3rx5Fbb5+vqKuXPnlr1v27ateOeddxo09rpwMe1rjs9PiKa18Xx69+4t7rzzzgrbALFw4cIG9VcXLqZ9S5cuFaqqiuTk5LJtH374obBarcJmszXoHFXRlDYOGjRIPPPMMzW2acnXYW32tYbrcOTIkeKRRx6psU1Lvg5rs6+5rsOqaHUzNX5+fnTu3Jl58+aRn5+Pw+Fgzpw5BAYG0q9fvwb3a7PZUBSlQlIiNzc3VFVlw4YNgOsXiLe3N/379y9rM27cOFRVZevWrQ03qhxNZR/A0KFD+f7778nIyEDTNL777juKiooYNWpUhXavvfYafn5+9OnThzfeeKNRpxQvpn3N8flB09pYnp07dxITE8Ndd91Vad8DDzyAv78/AwcO5NNPP0U0Yrqqi2nf5s2biY6OJigoqGzbFVdcQU5ODgcOHGi0czeVjSkpKWzdupXAwECGDh1KUFAQI0eOLPsbU56WeB3Wxb7Wch1+/fXX+Pv706NHD2bPnk1BQUGlNi35OqzJvua6Dqui1RW0VBSFVatWcfXVV+Pp6YmqqgQGBrJ8+XJ8fHwa3O/gwYOxWCzMmjWLV155BSEETz/9NE6nk6SkJMDlsxEYGFjhOL1ej6+vb6XpvobSVPYB/PDDD1x//fX4+fmh1+sxm80sXLiQDh06lLV5+OGH6du3L76+vmzatInZs2eTlJTE22+/faGmARfXvub4/KBpbSzPJ598QteuXRk6dGiF7S+99BJjxozBbDbz22+/8de//pW8vDwefvjhRjnvxbQvOTm5wh9SoOx9S/gMT5w4AcALL7zAm2++Se/evZk3bx5jx45l//79dOzYEWi512Fd7GsN1+FNN91E27ZtCQ0NZe/evcyaNYsjR47w008/lbVpyddhbfY113VYFS1mpubpp5+u1kmw9HH48GGEEDzwwAMEBgayfv16tm3bxtVXX82UKVPKxEdDCAgIYP78+SxevBgPDw+8vLzIysqib9++tZZCbwn2ATz77LNkZWWxatUqduzYwWOPPcaMGTPYt29fWZvHHnuMUaNG0bNnT+6//37eeust3nvvPWw2W6uw70K4FGwspbCwkG+++abKWZpnn32Wyy67jD59+jBr1iyeeuop3njjjVZj34VwsW0s9c+77777uOOOO+jTpw/vvPMOnTt35tNPPy1r11Kvw7radyFcbBsB7r33Xq644gqio6OZOXMm8+bNY+HChRw/frysTUu+Duti30WjSRe3GpGUlBRx6NChGh82m02sWrWqku+LEEJ06NBBvPrqq5X6bch6fmpqqsjMzBRCCBEUFCRef/11IYQQn3zyifD29q7Q1m63C51OJ3766adL2r7Y2FgBiP3791fYPnbsWHHfffdVe9z+/fsFIA4fPtzi7buQz+9SsLE88+bNEwaDQaSkpNTa9tdffxWAKCoqavH2Pfvss5X6OnHihADErl27au33YttYOtYvv/yywvYZM2aIm266qdrjWsp1WBf7WtN1WEpeXp4AxPLly6tt0xKvw+rsu9Dr8EJoMctPAQEBBAQE1NqudF3v/NkTVVUrRCldCP7+/gCsXr2alJQUpk6dCsCQIUPIyspi586dZWuWq1evRtM0Bg0aVGOfF9u+6vrV6XQ19hsTE1M2rVkTLcG+C/n84OLbWJ5PPvmEqVOn1mk8MTEx+Pj41FrEriXYN2TIEP71r3+RkpJS9p1cuXIlVquVbt261drvxbYxMjKS0NBQjhw5UmH70aNHK0WwlaelXId1sa81XYelxMTEABASElJjm5Z2HZZyvn0Xeh1eEE0qmS4Cqampws/PT0yfPl3ExMSII0eOiCeeeEIYDAYRExNT1u7YsWNi9+7d4r777hOdOnUSu3fvFrt37y7zzD59+rTo3Lmz2Lp1a9kxn376qdi8ebOIjY0VX375pfD19RWPPfZYhfNPmDBB9OnTR2zdulVs2LBBdOzYUdx4442XvH3FxcWiQ4cOYvjw4WLr1q0iNjZWvPnmm0JRFLFkyRIhhBCbNm0S77zzjoiJiRHHjx8XX331lQgICBC33nprq7BPiKb//JrSxvLHKYoili1bVuncixYtEnPnzhX79u0Tx44dEx988IEwm83iueeeaxX2ORwO0aNHDzF+/HgRExMjli9fLgICAsTs2bMbzb6mtvGdd94RVqtVzJ8/Xxw7dkw888wzws3NTcTGxgohWvZ1WBf7hGjZ12FsbKx46aWXxI4dO0RcXJz45ZdfRLt27cSIESPK+mzJ12Fd7Guu67AqWp2oEUKI7du3i/HjxwtfX1/h6ekpBg8eLJYuXVqhzciRIwVQ6REXFyeEECIuLk4AYs2aNWXHzJo1SwQFBQmDwSA6duwo3nrrLaFpWoV+09PTxY033ig8PDyE1WoVd9xxh8jNzW0R9h09elRMnz5dBAYGCrPZLHr27FkhBHrnzp1i0KBBwsvLS7i5uYmuXbuKV155pdbp0pZinxDN8/k1pY1CCDF79mwRHh4unE5npfMuW7ZM9O7dW3h4eAiLxSJ69eol/ve//1XZtiXaJ4QQ8fHxYuLEicLd3V34+/uLxx9/XNjt9ka1r6ltfPXVV0VYWJgwm81iyJAhYv369WX7Wvp1WJt9QrTs6zAhIUGMGDFC+Pr6CpPJJDp06CCefPLJCstALfk6rIt9QjTfdXg+ihCNGEMmkUgkEolEcpFoMdFPEolEIpFIJDUhRY1EIpFIJJJWgRQ1EolEIpFIWgVS1EgkEolEImkVSFEjkUgkEomkVSBFjUQikUgkklaBFDUSiUQikUhaBVLUSCQSiUQiaRVIUSORSCQSiaRVIEWNRCKRSCSSVoEUNRKJRCKRSFoFUtRIJBKJRCJpFfw/XM5eMWowLqEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now define the envelope of nearby vtds that will include the core in their adjusted HD\")\n",
    "print(\"  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\")\n",
    "envelopePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "coreCP = getHDcp([tractCP[v] for v in coreVgroups[VRAno]],[tractPop[v] for v in coreVgroups[VRAno]],\n",
    "                 [i for i in range(len(coreVgroups[VRAno]))] )\n",
    "dR = 2.*VRApoly.area**0.5\n",
    "corePop = coreVgroupPop[VRAno]\n",
    "targetPop = aDP - corePop\n",
    "availVTDs = list()\n",
    "for c in cList:\n",
    "    availVTDs += countyTractList[c]\n",
    "availVTDs = list(set(availVTDs).difference(set(coreVTDs)))\n",
    "while abs(targetPop - envelopePop ) > toler:\n",
    "    R += dR * np.sign(targetPop - envelopePop)\n",
    "    dR *= 0.5\n",
    "    envelopePop, envelopeVs = 0., list()\n",
    "    coreCircle = coreCP.buffer(R)\n",
    "    for v in availVTDs:\n",
    "        if coreCircle.contains(tractCP[v]):\n",
    "            envelopePop += tractPop[v]\n",
    "            envelopeVs.append(v)\n",
    "plotPoly(coreCircle)\n",
    "for v in envelopeVs:\n",
    "    plotPoly(tractGeom[v])\n",
    "for v in coreVTDs:\n",
    "    plotPoly(tractGeom[v],0.2)\n",
    "print(\"final envelopePop/aDP, corePop/aDP are\",r5(envelopePop/aDP), r5(corePop/aDP),\"for VRAno\",VRAno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "4e8b1f83-75cd-4453-bc4f-59d21d682e48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we define HD vtdLists for VTDs in the core and the envelope for VRAno 0\n",
      "For core, we grow a circle from HD center\n",
      "For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\n",
      "...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\n",
      "working on HD 3773 our 0th out of 632 that will contain the VRA core, time = 0\n",
      "working on HD 3846 our 50th out of 632 that will contain the VRA core, time = 34\n",
      "working on HD 3898 our 100th out of 632 that will contain the VRA core, time = 65\n",
      "working on HD 3997 our 150th out of 632 that will contain the VRA core, time = 102\n",
      "working on HD 4175 our 200th out of 632 that will contain the VRA core, time = 136\n",
      "working on HD 4271 our 250th out of 632 that will contain the VRA core, time = 172\n",
      "working on HD 4364 our 300th out of 632 that will contain the VRA core, time = 207\n",
      "working on HD 4554 our 350th out of 632 that will contain the VRA core, time = 239\n",
      "working on HD 4868 our 400th out of 632 that will contain the VRA core, time = 274\n",
      "working on HD 5010 our 450th out of 632 that will contain the VRA core, time = 310\n",
      "working on HD 5153 our 500th out of 632 that will contain the VRA core, time = 347\n",
      "working on HD 4240 our 550th out of 632 that will contain the VRA core, time = 385\n",
      "working on HD 3782 our 600th out of 632 that will contain the VRA core, time = 421\n"
     ]
    }
   ],
   "source": [
    "hdCP= [tractCP[t] for t in range(nHDs)]\n",
    "print(\"Now we define HD vtdLists for VTDs in the core and the envelope for VRAno\",VRAno)\n",
    "print(\"For core, we grow a circle from HD center\")\n",
    "print(\"For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\")\n",
    "print(\"...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\")\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs:\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "startTime = time.time()\n",
    "for jj,t in enumerate(coreVTDs+envelopeVs):\n",
    "    if jj%50 == 0:\n",
    "        print(\"working on HD\",t,\"our\",str(jj)+\"th out of\",len(coreVTDs+envelopeVs),\n",
    "              \"that will contain the VRA core, time =\",int(time.time()-startTime) )\n",
    "    VRAvtdList[t] = coreVTDs.copy()\n",
    "    bridgeVTDs = list()\n",
    "    circleCP = hdCP[t]\n",
    "    if t in envelopeVs:  #HD center is pushed toward core, define the connecting bridge\n",
    "        nearestCorePoint = nearest_points(coreTractPoly,tractCP[t])[0]\n",
    "        bridgeLine = LineString([tractCP[t], nearestCorePoint ] )\n",
    "        bridgeTube = bridgeLine.buffer(0.002) #this assures a connection from HD center to the core\n",
    "        for c in range(nCounties):\n",
    "            if bridgeTube.intersects(countyGeom[c]):\n",
    "                for v in set(countyTractList[c]).difference(set(coreVTDs)):\n",
    "                    if bridgeTube.intersects(tractGeom[v]):\n",
    "                        bridgeVTDs.append(v)\n",
    "        circleCP = Point(0.5*(hdCP[t].x + nearestCorePoint.x), 0.5*(hdCP[t].y + nearestCorePoint.y) )\n",
    "    bridgePop = np.sum([tractPop[v] for v in bridgeVTDs])\n",
    "    VRAvtdList[t] += bridgeVTDs\n",
    "    availVTDs = list(set( [i for i in range(nHDs)] ).difference(set(coreVTDs+bridgeVTDs)) )\n",
    "\n",
    "    targetPop = aDP - corePop - bridgePop\n",
    "    if targetPop < 0:\n",
    "        raise Exception(\"Error, core + bridge pop =\", corePop + bridgePop,\"> aDP\",r5(aDP),\"for HD\",t)\n",
    "    nonCorePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "    dR = 2.*VRApoly.area**0.5\n",
    "    nLoops, maxLoops = 0, 14\n",
    "    while abs(targetPop - nonCorePop ) > toler and nLoops < maxLoops:\n",
    "        nLoops +=1\n",
    "        R += dR * np.sign(targetPop - nonCorePop)\n",
    "        dR *= 0.5\n",
    "        nonCorePop, nonCoreVs = 0., list()\n",
    "        coreCircle = circleCP.buffer(R)\n",
    "        for v in availVTDs:\n",
    "            if coreCircle.contains(tractCP[v]):\n",
    "                nonCorePop += tractPop[v]\n",
    "                nonCoreVs.append(v)\n",
    "    if nLoops >= maxLoops:\n",
    "        print(t,\"WARNING, circle bisection ran\",nLoops,\"and nonCorePop vs target =\",nonCorePop,targetPop)\n",
    "    VRAvtdList[t] += nonCoreVs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "62d75e69-7463-42fc-a8c0-da4177bbbe58",
   "metadata": {},
   "outputs": [],
   "source": [
    "if VRAno == 0:\n",
    "    coreUset, coreVset, envelopeSet = set(), set(), set() #run this once, ONLY for VRAno 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "075d484d-8ccb-43a7-8748-84bd0c33fadb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "establishing which UNITS are in the core for VRAno 0\n",
      "the final core unit pop is 611029.0 0.77677 of a district vs vtd-based 0.7779\n"
     ]
    }
   ],
   "source": [
    "print(\"establishing which UNITS are in the core for VRAno\",VRAno)\n",
    "coreUnitPop, coreUs = 0., list()\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs[1:] :\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "for u in range(nUnits):\n",
    "    if coreTractPoly.contains(unitCP[u]):\n",
    "        coreUnitPop += unitPop[u]\n",
    "        coreUs.append(u)\n",
    "corePop = np.sum([tractPop[v] for v in coreVTDs])\n",
    "print(\"the final core unit pop is\",coreUnitPop,r5(coreUnitPop/aDP),\"of a district vs vtd-based\", r5(corePop/aDP))\n",
    "for u in coreUs:  #these two loops are a master set - because we have multiple VRAs in this state\n",
    "    coreUset.add(u)\n",
    "for v in coreVTDs:\n",
    "    coreVset.add(v)\n",
    "for v in envelopeVs:\n",
    "    envelopeSet.add(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "d69ed2e2-2946-4441-bcb6-61a6014eaa3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now define envelopes for VRAno 1\n",
      "For this VRA, since Hamilton has 1.056 CD pop, restrict envelope to this county\n"
     ]
    }
   ],
   "source": [
    "cList, VRAno = [30], 1\n",
    "print(\"now define envelopes for VRAno\",VRAno)\n",
    "print(\"For this VRA, since Hamilton has\",r3(countyPop[cList[0]]/aDP),\"CD pop, restrict envelope to this county\")\n",
    "\n",
    "coreVTDs = coreVgroups[VRAno].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "61104e85-5baa-4990-a30e-b593bcce081d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now define the envelope of nearby vtds that will include the core in their adjusted HD\n",
      "  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\n",
      "final envelopePop/aDP, corePop/aDP are 0.3342 0.66476 for VRAno 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for v in coreVgroups[VRAno]:\n",
    "    plotPoly(tractGeom[v])\n",
    "print(\"Now define the envelope of nearby vtds that will include the core in their adjusted HD\")\n",
    "print(\"  Do this by expanding a circle from the centroid of the core until it captures sufficient pop\")\n",
    "envelopePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "coreCP = getHDcp([tractCP[v] for v in coreVgroups[VRAno]],[tractPop[v] for v in coreVgroups[VRAno]],\n",
    "                 [i for i in range(len(coreVgroups[VRAno]))] )\n",
    "dR = 2.*VRApoly.area**0.5\n",
    "corePop = coreVgroupPop[VRAno]\n",
    "targetPop = aDP - corePop\n",
    "availVTDs = list()\n",
    "for c in cList:\n",
    "    availVTDs += countyTractList[c]\n",
    "availVTDs = list(set(availVTDs).difference(set(coreVTDs)))\n",
    "while abs(targetPop - envelopePop ) > toler:\n",
    "    R += dR * np.sign(targetPop - envelopePop)\n",
    "    dR *= 0.5\n",
    "    envelopePop, envelopeVs = 0., list()\n",
    "    coreCircle = coreCP.buffer(R)\n",
    "    for v in availVTDs:\n",
    "        if coreCircle.contains(tractCP[v]):\n",
    "            envelopePop += tractPop[v]\n",
    "            envelopeVs.append(v)\n",
    "plotPoly(coreCircle)\n",
    "for v in envelopeVs:\n",
    "    plotPoly(tractGeom[v])\n",
    "for v in coreVTDs:\n",
    "    plotPoly(tractGeom[v],0.2)\n",
    "print(\"final envelopePop/aDP, corePop/aDP are\",r5(envelopePop/aDP), r5(corePop/aDP),\"for VRAno\",VRAno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "a3d0c43b-3da2-4481-b401-6e26cb690b92",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we define HD vtdLists for VTDs in the core and the envelope for VRAno 1\n",
      "For core, we grow a circle from HD center\n",
      "For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\n",
      "...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\n",
      "working on HD 1190 our 0th out of 533 that will contain the VRA core, time = 0\n",
      "working on HD 1274 our 50th out of 533 that will contain the VRA core, time = 1\n",
      "working on HD 1355 our 100th out of 533 that will contain the VRA core, time = 3\n",
      "working on HD 1432 our 150th out of 533 that will contain the VRA core, time = 5\n",
      "working on HD 1512 our 200th out of 533 that will contain the VRA core, time = 7\n",
      "working on HD 1606 our 250th out of 533 that will contain the VRA core, time = 8\n",
      "working on HD 1696 our 300th out of 533 that will contain the VRA core, time = 10\n",
      "working on HD 1589 our 350th out of 533 that will contain the VRA core, time = 12\n",
      "working on HD 1199 our 400th out of 533 that will contain the VRA core, time = 14\n",
      "working on HD 1311 our 450th out of 533 that will contain the VRA core, time = 15\n",
      "working on HD 7600 our 500th out of 533 that will contain the VRA core, time = 17\n"
     ]
    }
   ],
   "source": [
    "hdCP= [tractCP[t] for t in range(nHDs)]\n",
    "print(\"Now we define HD vtdLists for VTDs in the core and the envelope for VRAno\",VRAno)\n",
    "print(\"For core, we grow a circle from HD center\")\n",
    "print(\"For envelope, we pick up all tracts that intersect the line from HDcP to core center, ...\")\n",
    "print(\"...then we grow the district from the midpoint on the line from HDcP to the closest point on the core\")\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs:\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "startTime = time.time()\n",
    "for jj,t in enumerate(coreVTDs+envelopeVs):\n",
    "    if jj%50 == 0:\n",
    "        print(\"working on HD\",t,\"our\",str(jj)+\"th out of\",len(coreVTDs+envelopeVs),\n",
    "              \"that will contain the VRA core, time =\",int(time.time()-startTime) )\n",
    "    VRAvtdList[t] = coreVTDs.copy()\n",
    "    bridgeVTDs = list()\n",
    "    circleCP = hdCP[t]\n",
    "    \n",
    "    if countyNo[t] == 30 and STATE == \"OH\" and tractCP[t].x < coreTractPoly.centroid.x:\n",
    "        #special for Hamilton Co - force western-based VRA HDs (core and envelope) to absorb west county\n",
    "        for v in set(countyTractList[countyNo[t]]).difference(set(coreVTDs)):\n",
    "            if tractCP[v].x < coreTractPoly.centroid.x:\n",
    "                bridgeVTDs.append(v)\n",
    "            \n",
    "    else:\n",
    "        if t in envelopeVs:  #HD center is pushed toward core, define the connecting bridge\n",
    "            nearestCorePoint = nearest_points(coreTractPoly,tractCP[t])[0]\n",
    "            bridgeLine = LineString([tractCP[t], nearestCorePoint ] )\n",
    "            bridgeTube = bridgeLine.buffer(0.002) #this assures a connection from HD center to the core\n",
    "            for c in range(nCounties):\n",
    "                if bridgeTube.intersects(countyGeom[c]):\n",
    "                    for v in set(countyTractList[c]).difference(set(coreVTDs)):\n",
    "                        if bridgeTube.intersects(tractGeom[v]):\n",
    "                            bridgeVTDs.append(v)\n",
    "            circleCP = Point(0.5*(hdCP[t].x + nearestCorePoint.x), 0.5*(hdCP[t].y + nearestCorePoint.y) )\n",
    "    bridgePop = np.sum([tractPop[v] for v in bridgeVTDs])\n",
    "    VRAvtdList[t] += bridgeVTDs\n",
    "    availVTDs = list(set( [i for i in range(nHDs)] ).difference(set(coreVTDs+bridgeVTDs)) )\n",
    "    if countyNo[t] == 30 and STATE == \"OH\": #allow in-county only\n",
    "        availVTDs = list(set(availVTDs).intersection(set(countyTractList[countyNo[t]])) )\n",
    "        \n",
    "\n",
    "    targetPop = aDP - corePop - bridgePop\n",
    "    if targetPop < 0:\n",
    "        raise Exception(\"Error, core + bridge pop =\", corePop + bridgePop,\"> aDP\",r5(aDP),\"for HD\",t)\n",
    "    nonCorePop, R, toler = 0., 0.01 * VRApoly.area**0.5, 0.005*aDP\n",
    "    dR = 2.*VRApoly.area**0.5\n",
    "    nLoops, maxLoops = 0, 14\n",
    "    while abs(targetPop - nonCorePop ) > toler and nLoops < maxLoops:\n",
    "        nLoops +=1\n",
    "        R += dR * np.sign(targetPop - nonCorePop)\n",
    "        dR *= 0.5\n",
    "        nonCorePop, nonCoreVs = 0., list()\n",
    "        coreCircle = circleCP.buffer(R)\n",
    "        for v in availVTDs:\n",
    "            if coreCircle.contains(tractCP[v]):\n",
    "                nonCorePop += tractPop[v]\n",
    "                nonCoreVs.append(v)\n",
    "    if nLoops >= maxLoops:\n",
    "        print(t,\"WARNING, circle bisection ran\",nLoops,\"and nonCorePop vs target =\",nonCorePop,targetPop)\n",
    "    VRAvtdList[t] += nonCoreVs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0084512c-2be6-4391-b167-51381be84dd3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ddc52f86-c04d-44cd-8a3b-2d16955f2010",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "743af335-e065-4a5b-9375-fd834fb94973",
   "metadata": {},
   "outputs": [],
   "source": [
    "#coreUset, coreVset = ... #do not rezero after VRA0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "639fa35e-98b8-4083-abba-3111071d5a28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "establishing which UNITS are in the core for VRAno 1\n",
      "the final core unit pop is 519727.00000000006 0.6607 of a district vs vtd-based 0.66476\n"
     ]
    }
   ],
   "source": [
    "print(\"establishing which UNITS are in the core for VRAno\",VRAno)\n",
    "coreUnitPop, coreUs = 0., list()\n",
    "coreTractPoly = tractGeom[coreVTDs[0]]\n",
    "for v in coreVTDs[1:] :\n",
    "    coreTractPoly = coreTractPoly.union(tractGeom[v])\n",
    "for u in range(nUnits):\n",
    "    if coreTractPoly.contains(unitCP[u]):\n",
    "        coreUnitPop += unitPop[u]\n",
    "        coreUs.append(u)\n",
    "corePop = np.sum([tractPop[v] for v in coreVTDs])\n",
    "print(\"the final core unit pop is\",coreUnitPop,r5(coreUnitPop/aDP),\"of a district vs vtd-based\", r5(corePop/aDP))\n",
    "for u in coreUs:  #these two loops are a master set - because we have multiple VRAs in this state\n",
    "    coreUset.add(u)\n",
    "for v in coreVTDs:\n",
    "    coreVset.add(v)\n",
    "for v in envelopeVs:\n",
    "    envelopeSet.add(v)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "id": "2cdbbe0c-f034-46f9-ab5b-4240c5cbab72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finalizing the master lists of core VTDs and core units\n",
      "there are a total of 850 837 core VTDs and core units 315 envelope Vs\n"
     ]
    }
   ],
   "source": [
    "print(\"finalizing the master lists of core VTDs and core units\")\n",
    "coreVTDs = list(coreVset)\n",
    "coreUs = list(coreUset)\n",
    "envelopeVs = list(envelopeSet)\n",
    "print(\"there are a total of\",len(coreVTDs),len(coreUs),\"core VTDs and core units\",len(envelopeVs),\"envelope Vs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "6f02eea8-b726-43b6-a80f-e83f6b1242c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adding a clipPoly in w. Hamilton County 30\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"setting up a clipPoly in w. Hamilton County 30\")\n",
    "plotPoly(countyGeom[30])\n",
    "plotPoly(countyGeom[8])\n",
    "plotPoly(cityBoundary)\n",
    "ptXs = [-84.5, -84.85, -84.85,-84.5]  #iterate on these until they look good\n",
    "ptYs =  [39.31, 39.32, 39.1, 39.06]\n",
    "pts = [Point(ptXs[i], ptYs[i]) for i in range(len(ptXs)) ]\n",
    "clipPoly = Polygon(pts)\n",
    "plotPoly(clipPoly)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93720d47-7a83-44ed-bb3e-904909a9e50e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "c3ba3e41-3dde-47ec-aec5-18a2e05e3b91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now back to polygonal HD drawing prep ... optional squish\n",
      "for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state OH\n",
      "clipPoly 0 intersects [8, 30] counties and a total of 289 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now back to polygonal HD drawing prep ... optional squish\")\n",
    "print(\"for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        #pause = input(\"enter 1 when ready\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "f6674cc7-3ea6-475d-9a4f-f352e29c24c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "11359c48-160e-4979-a539-fff83e286396",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish; skipping for OH\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "e2d900e5-f4bc-44c5-9cba-91941a868a77",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n",
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 500 is inside the map's convex hull\n",
      "working on confirming HD center 1001 is inside the map's convex hull\n",
      "working on confirming HD center 1830 is inside the map's convex hull\n",
      "working on confirming HD center 2335 is inside the map's convex hull\n",
      "working on confirming HD center 2835 is inside the map's convex hull\n",
      "working on confirming HD center 3336 is inside the map's convex hull\n",
      "working on confirming HD center 3983 is inside the map's convex hull\n",
      "working on confirming HD center 4721 is inside the map's convex hull\n",
      "working on confirming HD center 5355 is inside the map's convex hull\n",
      "working on confirming HD center 5855 is inside the map's convex hull\n",
      "working on confirming HD center 6355 is inside the map's convex hull\n",
      "working on confirming HD center 6855 is inside the map's convex hull\n",
      "working on confirming HD center 7355 is inside the map's convex hull\n",
      "working on confirming HD center 7856 is inside the map's convex hull\n",
      "working on confirming HD center 8357 is inside the map's convex hull\n",
      "working on confirming HD center 8857 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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cZYQIEX4VBEMijS2psQ2OcNCow+XF5Wlp4uYNWzgCLcW/pGAQxECH1Niea3G0p8aqoaX4l8ZgQd1ikdXrwz1VzEYDFmM4aDTKYiDWaiLabDz+WhytmSqtQqImgK/EE85U6a76qC8cTNpq+eg1U+Wo2AyFToVgMXRIi1UiGNRd63ToftpMlQggSeGAX0FQIEsSu5ctZvvXn2GvrUGjNxCb1ged2QyyTH1ZCf3GjGf8WedhiY3/meYXpMpVzs27VkHIjuRW8cgSM5QrSc12kDJ+Ff8xHkEpCMTYv+C2UXf0vC1RJBDyoldGA2AyhA0P9XYXybG2n+FouueESqUdO3awefNmALKzszutKyoqIiMjA4DDhw9jt9vb1t1555243W6uueYampubmTx5MkuXLo3UYIkQ4VeGKEo0Ot3U29stHA6XG6fH2yY4/H4/wQ6ZKohBFGIQJSE09FaLI5ypIndIjVXrjWi0MWjaBIces1GH2Ri2cISDRk1EW4zHX4tDksNWjNbYjPoQgfLG7ot9dclWOUamiq6rFUMVo0ahN3WbrSLoWlNpf5lMlQg942ps4OC6VRTv3kFdaTFeR/iZpdbp0er1uJqbGDh5OvOu/wMpAwYh/ESF1brj6z1VbC8qY17/BjT1HtyOAJlDkihUWglscxDXUIsxpITy8DXRnG9ENcFDSBBQSiqUkppUU89hFYIgEBKCSJ4gAKaWlOlGh+e3LVhWrVrV9vP06dM5nrIuR48RBIEHH3yQBx988MdOJ0KECL3Q2qa+tafKiWpTD0elxirDmSoqnTGcGqvVoddrW1JjDS21OMI9VWJtYcHxvVJjAx0CQZtDhKqaCXR0s/RSAEz29yI4NMp2IdFa/CtKhyK5m5iNjjU5dMrfTKZKhO6RJJHSfXvI37KBisMHqS8rQalSkTFsJMPnzMccG4eAgMdhx9lQz+Bps0jMOr5q7CcCUfTjcOyisLael7/djzekY9Oavixwh3v97PpC4qQrfUzbvKztM7ItBqG5ASEtir7JfflL9Eyqlg1GGdBQpa9gSEb3+xIUCpR6NUFn2CdkNekBaHK6f9JjPBa/nDMqQoQI35uOberr7S6aHe4e2tSHm7j91G3qo1riOOJsZvTa4xQcsowckNpdJq2psT0U+2qzcnQQH8fOVGkXEkprh0yV7rJVOrpVlBHB8f8NWZI4sPY71r3/Jq6GemwJSaQOymX0KQvJGj0OnfGn66MD4KjM44t1h/B6FWgVW7GYE5k5cwFV7kN8VWvHolZxapwNjVKDpclFWuFeGuoTqSCOQbISBNquB6PF1mnb3w39M2o5QFBpRJk7mMxaD/ViMRIyFYebep2XrAIhFLYaWUxhC4vL4z3Rh/+9iAiWCBF+Zjq2qW9sieP4ydrUq7WojZa2rrEGvT6cGvtj2tTLMoSktkJfkk9EKnLi6ZKZInYTz3GcmSodhYRZgypO341LpWu2SiRTJcLx4qiv5dD6NRxc+x31ZSX0nzCF0acsJCGr308eC3SkxsnmggYm1W/lUPF7VMfMQuXJI9Cswx+3gnfeKWH1+CvY4/LT4A/ycrOGbRlBePNk4oH1Onhy3BoWDM+k5KutlB0spu9wE8k5MzjnL3+lrrSYviMn8sk/DuJ1hl8kbPEG4tLMHFhfhbPBR/aYhF7nKIaCaBXhsAxVi7tL6um6/ZmICJYIEb4nR7epb3K0Co7u2tS3dI39MW3qDeYT2qYeWjJVOoqLMg+eDqmxPXaUbe0a21MTN4XQuUFbq1slWtdeo6ObTJY2N4s6Ijgi/LQ0Vpaz8aN3ObxhLUq1mr6jxjLriutJHTTk2B/+EfgliT1OL5agzKIXlpNuyud9AYK5J3NEPRBv8kTO2/g2quo+JApKdApwlznR7m2iXpL57mQDM4Cd7tMp9o1hrt5Cpk3F1yv/iVZvYMfXLgxmgXELzyFtcLjH36J7xlB2sJGUHBvWuLCV5OKHJyBLMk3N63qcqxgK4XU6sMWHA4Zb7yvSD++VfEKICJYI/+/ork29w+XG5fH+NG3qdcYT2qYeQBal9pRXbwip0ovP6+zaV+WoSqPHk6nSpZKoToXSYugmfkPZxRpyvE3cIkT4OZFlGa/TwaF1q1j7zhvorVZmXH4Ng6fORKP/8T14jmf/l27fQJPzMIJHJMngYX/DAGQU+APxyBo1OtcqVqQsBcDgk/Hs/Jy4xuvxaOJw+wxcvsTDjpnPsuGTVAAq3yvClmzFGp9Ac3UVACkDBnXarzlax6BJyZ2WCYJwTNfnkY1rEcUQ2hZ3WKsbOWJhiRDhe9Jjm3pXuInbiW5TrzZaTnyb+tZMlVYLRk0Av8/TTWbKUX1VWi0ggZ6PoWOmSqv4UMUZOpUx7+J2abWKaJURwRHhN48YCnJk8waKdm6j4tB+XI2NSGIIgGEnzWfaJVee+OqyRWthxQNgSSY0/6+4xVpCIReyLOITRQqcHtzqMTQaJS5I/RC9ysfE5M3UOkZwsGw4Qd9nNJoU+LUSHl34GrRGv0lj7T0A/O00M/qhJ6Fdugm/J3ws1jgDFzz8BKX7dpOYlYM1vnc3z/EQCgbZ+Mn7DI+ejqrlHLUGk8s9BY/9TEQES4Sfnf+JNvVHZ6o0tKbGinRfAKyz5aPXTBWtsnPaa8dMlY4N3LqrPqqNpMZG+P9DwOelYNtmqvIO01BeQtDvB0HAUVuDu7mJuIy+9Bs7EWtCIgaLjaR+OT+4Looz4CQgBojRxwDg8RThcO5DrWrpMLzmNmTBh1C1C+VrKzFcuw+NxoYsilT9+S+cGlLy+YxYzu6TwlnadSiyNHg8hbira+mzcyBVgpF1uQ6MfoG7PvLzlytU3LMrSGDqXQhmidljt6NSaTj33rFUFTST2j8ag0UD6Og/YUqnuW5pdrG03sFJsRYm2MJWEp+vksrKDzEas4iPX9DjcdaVFNJUWU7cSRngCwsUhRCJYYnwG0WSJBqdnpag0Z++Tb26NTX2RLapb81UaRUWHVJj2zNTxK4xHT4RyRNC9h8jU+WowFCVVYuQqOqamXJ09dFIpkqECL3SWFlO6d7dlO3fQ9Gu7QT9PqKSU4lNS8cSl4AsycRnZDF8znxi0/r8qH35Qj5cQRcFNat4csvDiId1jC1NJidnJBMvmUBC/CnhcaIPfdQE2PFfAJzR51E0ZR6S00nivX/C/sknLAIWffEhma8/g6LYhttbxAHbSHZ96aGfzUe26ncsKPwUpXEtrpsFXn3FiLrQDktgwMEDCIIStyiygyCDhsVgaCkD4PfXoVCoUKvD6c31gRCLdhfgl2ReKKvl8xHZjLOZ2L3nWrzeUkTRRap9O7ExM7o9ZkNLppGM3HaPa/VUH0/Zkp+SiGD5f0hrm/pw4Kjnt9mmvrWJW6sVwyUi1jnwdKk02jmeo6P4oCevikpoyz5Bo0DQCKARwKgI1+lQaZDVIKtkJJWErAI0AgqdElNSPJaEOBQKJX6Ph6aqClyOZgIeD16ng1AgiEFnxWpJJCk7B6Xq+I43QoT/z8iSxP7VK9j17dfUFOajUKpI6pfD2NPPZuCU6VjjE0/o/oJVVRReeQVSYTHLz5cZNCXI1TGw52AyzVo3Bds2oTCXMeOKsVz5zZUcbDzI6IRRvHLxpyjNyTTe/igKvR7Jbqf6wYdQJSURqgrHmWhK3kFRsR+Nu45JZSXkPLYD/yY77HQDl4LhCjRFG6kpe4OQUokuOhpBUCLJMqfvyGefK5xavHhkPxJcX3Lo8L2ATHb23fRJvxoZmY66ovU2J0kBlEo9ouhCDLl6PPZ29w+0bqi1SWJEsET4Qbh9fmobnW2Bo7+1NvXQIVOlVUi0pcaKXWI2uuur0numSueUV3QKfJIXh68OD3a8gpOA4EcUggQJ4HY34XY3ExJCoAQxEMDn7vmi7g2lSoUpOgZHfR2y1K6KFEoVKo2agDd8w1FrdWSNHseY084iPqPvD9pXhAj/y/hcLvK2bmD3t0uoKcyj76ixnHbrH8kYPhK19qephN7YtJHyTc8gKosxG0OM88o0SKBRgCnZg1wWdrFkJ6vZXrOdg40HAdhWs52l+4czUFKjzrgYKe8JABIfeADDyXPZvOVjogaNQHFoMRz8BACHScWegjmMnvsp6oEDANAPieXgfjOfuVyIsswp8+cD4BUl9ru8RKmUNIVEltTbme9cilYTjz9QQ37+Y/RJv5o4jZp3h/Vlab2dubHWNpfQ0NwXKa94C6Mxm5Tk82lsXNvt8dtrqgHQ6HTgDt9jlS0mcUnuOXbu5yAiWH4liKJETZODqvpmahod1DfbsTtcOF0uvF4PQZ8XMeBDCPlRyYEeS5z/XG3qoSVTpaOQKG9PjZWPFh5HWTkkrwihY2SqHFVJVGnVtgeLHtWavmOAacdMFb/Hw84lX7B9yRf4nA5M0THEpmdgiLagVKtRyCq06LFZ0tAajCDLSKKIQqXCaLWhNRpRqTUoVCqUShWCQoFCpUShVKFUqVAoVeHzJQiIoSDOulqaaqpw1NUSlZhMQt9sDDYbGp0BjV4fLnkdCNBQXkrx7h3sWfENb951E0Nnz2P6JVf9ZDfhCBF+S5Qf3MfOb76mYNsmpJBIcv+BnPfA412yYE4Isgzf3gt7PsDffyq7zOuQrSH4A2TtaCbNL7JazMYalcWirH14o3zYvHl4awtJiX+EbFs2hc15LFCDO2Yl71VVEBRMXDTtDhQpKsyzx3Dfnof5ouILqIBLBl7IHee+zf5Dd+NITARvEfsP3MzEid+1TWn3vn3oDAbcbjdfLV7M6LFjMaqUPNIvhTcqGzgzIYq7+ybR3HglBw7egVJpZPiwV9s+PynKzKQoc6fDNBr70j/nL8c8HQXbt2Cw2tCZTATqnUB7WvMvbGCJCJafgyanh837CyitqsXucOJ2u/H7vIh+L3LQj1Lyo5GDXdwsYWuHGlGpRVBrURvM6PQJGI1GLGYTVrMRm8n4w9vUH52pUunF53X10Jq+azxHj5kqAgjao+Iz9C2ZKq1lzI+K8WjPXlGGe6r8yEyVUDBI3ub1rH7zP/jdbobMPInhcxYQnZL2k2bBxKSkkXGMMSqNhoS+2ST0zWb0qWeyd8U3rH7rVaryDrPoL39FbzIfYwsRIvxvUl2Qx7r3/kvJnp1EJ6cy+dyLGThlBkZb1E+30+YS2Phc+Od9H8P4uLZVsjEBrauCORvzCP15CyrjEqJWPgx95+CdfglWrZWPT/uYdctvJyB8ziGFzMr0IUhVFtKP5JFQbUT9d4HCyYWkmlIpd5XzacEX3HH+3Rj0JVQXPgVAbu5znaY0atQoioqKADjrrLPall+RGscVqe3zi4mZwpTJm07YqfA6Hexfs5KBk6YhKBRtLqDWW2ZHi/EvQUSw/ETUNTt5Z8layovy0Pmb24qFBVARUmiQVVqUGh0asw2DwYjZZCTKaiLGZiUh2kJSbBRxVmOv4kOWZGR/h7TXttTYboJFO8Z0tP58XJkq7WXMVTG6bjJTlJ2rjxqO3cTN47BTuncXFbsP4GpswO92ozOZMcXEkDYwl7QhQ9vKYQe8HvK2bKR49w7qS4tx25sB0JnMxKX1IXVwLv0nTEFvtlC8ewdHNq2jdN9uHHW1AOSMm8S0S67CEhvX03R+UZQqFcPnLiBl4GA+fPCPfPTwvcy47JpIfEuE/1c0lJex/v03yduygeiUNE679Y9kj51wwl4uQqJEld1Hsk2PNyjytyWHaHD7uWV2DjkxSfiEftSsbEShlMk99T6adaXEuXRYXS/i1CZwuvNOCv+0hI+vn8io321smfQaIJxB03fQGA4f/pz/cB0AVckpPGtO4OMNfrQ5Ufxx3B95duezjEwYyd1j7wYgM+MG0tMuR6HQtcWItJKTk8Ndd90FgCQ5kWX5Jy83IMsyq9/8D1IoxLiF5xBc29i2TtlqYflJZ3BsBPmXjqI5ATgcDqxWK3a7HYvF8ovOxesP8vz7S2gq2IUSGb8xjtQ+mYwenMOQvimYDT2b/GW5RYC4gojuIJIrgOgKIrmCSO4gQbsPd3U9wWYvypASNdoev8SCRtG1muhRZcw7WjUU+nDLel/IQ9mRfdSXFeFx2JElCb3FSnRKKn1yh3ebEijLMjWF+ZTs2UltUQFuezNSKITeaiUqMZk+ucNJHZyLu7GRzZ99wIE13yGJIaKTU7HEJ6A1GPG7XTRXV9FcU4VKo2XwtJkgKNi/ejmhQICkrBziM7Mwx8QC4LY3UVdSROXhg4CA3mzG3dxEdEoaGcNGEtcnk9jUdBKzc07I3/XnoLogj48f+TM+twudycyASVMZfcqZJ6S2QoQIv0ZcTY2se/e/HFizElNMDBMXXcigqTNQKI6vvMDx4A+JLHx+AweqHADcNCubl1YXEmhxSc+6aBCXP/4ACQVHCDWE++sMPBSOS5FlmTP/+gEWwccWhxWjycS2e2cD0NCwhpiYqXjszShUKuoaP+aGQg1bpIEA/O6In5v7JmI96fgylT6obuSJomoy9Fr+MyQDo1Jgz55rqW9YCSiYOmVLWybQiaB1/q3sXraE5a88z9zrb2HI9Nk0f1mAL6+JxFtHU1nfzL+ee5qcCSdxwdxJJ2wO8P2e3xELywlky8EiPvrwQ3SiB3V8NpcunEdmcvgB66ltonHTQeoa3Ah+UMsatEojgl9uEyWiOwChzvpRRkZSy4gqEXtzNZ6gE5VFizbOjDbaBBqBgOijsb6C8vx92Jtric3KZMZl15DQNxtHfS3V+UdoKC8jFAwgeAUspgTiU/qSkJnV1hK98sghNr/9AYXbtwBgjo3DZItGUCioOHSA5tpqkGWS+w9i3MJFZA4fDUDelg1s+uR96ooLUev0JGX3wxIbh0Klwuuwc3jTOrZ//Rk6s4WQz4fWZGLyeRczYPI0zNGxXc6ho66W/atXsGPJFwT9PkbOP53hc+b3WDvBY29m/5qV1BYVMHTWXFIH5f5mC58lZvXjun+9SV1xEUc2r2f/6hXsW7mM0aedSfbo8cSkpqPSaH7paUaIcEIo2L6Zb178JwgC0y+9mqGz56FS/3CrYmXlBxQVPYve0Ieh2Y+i+vpucNXwdsIfOVDV3rTPExDbxArALoeHr2OSuWTLZgAs808GIFjr4UhpPsOCYfGSqYWB5tN4/vqVZOTGMnaRzM5vvmLlay+DLDPnupt4d/wMPn51B8nNIQY4JbTTw+5dSQrgdB7AYOiLWm1heYODPxwqJSDJvDcsixEWA/fnVxCjVrG6ycmZO/P5ItdCfcNKBEGJLItUVX1CevqVbfPeV7+Pj458RG5sLmf2O7Pb+54sSti/LSFU68E8PQ1tn54FQeHOraQOHMKQ6WFBhiC0mVSUv5IYloiF5QSxdNNe1i75lKBSz5lnncn4wVn47W4K31+PUOjHhK1tbFDy4xM9+EUPshaMSTHEZPWhoaGC0rxdVJXn4RM9hJQhRGUIMRhEDAUZdtLJjD5lYY8pfJIoUrRrO2vfeZ2GijJs8Yk014RT6fQWKxq9HkkUcTbUgyxjjo1j8LRZ+D1udi75kujkVEadcgZ9R47FFBXdadtel5OSPTvZsfhzqvIOkz5kKDqThSOb1pGeO5wxpywkbcgwlKrOGliWZRoryti78ltUGi3jFi46rsDScJXa4E/eKfXXTMDnZdPH77H968+QRBGVRkv2mPEMm33yT973JEKEn4q6kiLWvPM6xbu203fkGOZefwsGi/V7b6dp3QbqPvmQtMxqfOYY9saswC3FojFXonH0JXPT7egVW7hdhg2K0fjFsEi5P7WAz5M3k24YzmbTyZQV2lHUe/mjzcllo/qiHzYM59py7F8Xka+oZpVmPwCqoImohpFt+5/9Ox87P16Fo74OZ30dALe9/xXuUgfBI00Y+kejSTMjyzLbd5yD3b4DgDFjPueyfB0lXj8V/iAA1TOGc+3+Yj6vbUZR4yUh30WqxsuNk9ei9H2CWh3DxAkrUKnCAkiWZaZ/MB2FoKDeW8/VuVdz08ibupwj944amj440vZ76mPtBeaOtrAs+/dzVOfncfHf/glA8+JCfAcaSbx9NHXNTp5/+gmyxs7m4vmTv/ffqjciFpafmfV78li75DMCWht/vPEqoswGCj9eh7zZg1HQ0Kx14hkYwjowBXN6PIJagbupkbqSIvK2bqRw63tImyVkSSJj+ChGX30OKQMGYY6JQxAEZFlGDIWO+fahUCrJGjWWjGEj2f71Z1TnH2HiogtIzx3eKWgt6PdRU5DPwfWr2P7VZ0hiiBmXXcOIuae0WVyORm8yM2DiVPpPmELxru2sfP1lagoLOOWWu7pUWeyIIAjEpKYz/ZKrvtc5VWu0J7509jGQRRFB2W6KFt1BBAGcQQ9udy0GgwuF3JfmUi/U7SY/xkOuehQahZEqR4CkLCs6qweNOrq9boEk4Vy2HFkMUaIRsNfWMKwXi1FHNDo9Uy+8nPFnnUdDWSml+/dwYM1K3n/g7rCrS5ZRqjUYrTYSsvrRJ3c48ZlZv1kLU4T/bcRQkHXvvcm2rz4lKjGZ0277I9ljflicytf7N3H38uVcYmjm5rpviGoQmVoMy6cEOHBgKg31fQgZd5Jhmk5ixXpkRQAUKu5QyDxlegWjz0S+cw8LjUb+eyDssvlbrYYFp/cjHfAdaUJp0dDXkYA3GECcYGXUiDGs+k8xjZVuAGxxekYtOINvXvonSpWKRX95lP1rK1j9zmFkGU66UktOmhlJ8mK370StjiYYbKSq6hPmx13PvXkVADzcLwWAR7NsNBXfxyHffs7WCly3rYLQdgXRL2xEHZPW5RzoVXrqPGGh1Fp992hUtuO/h4YCgaMsuEKHOiytac2/rH0jYmH5kTQ63PztqWeQFBruufk6bCY9B59egrXWQqOmlrRLxxKV1fXL1hFXYwP7V6+gz9ARJGb1+5lmHsbrdCCGQl0sKsdCDIUIBfzhVODfEJIsU/XNt/iefYZKY5B3BspkOKIYXhmiVmVAk5lJ/5lTMJXVY97fiLu0mTrvXvzTdxIcFg5SDrj1FHx9JWQ4OKN5JgDFfpGGUU9jSt4LQP+RX7Gjuo59j3zJ7F0ryI+Npiq+3bJ02/tf/aD5y7LMoQ1ryN+6Ca1eTygQwNXUSHX+EYJ+H4lZ/Rh/1nlkjRr3I89UhAgnjoDXw8d/vY/qgjwmn3cxI+ef3sUa2yveZp5YU8Wnu0oYmlbG2uCztPordheWtdWV+qDpMg5ERaFQBXhnzFyaNWHLzduf38EkYwVOTuOCPuuo1toB+PvEl7npdTuBFuvLtntnE2vS4i+y0/RJHggCMRcNRB0fbpAoihKuRh+WGD2NTWs7WSgAPn58O65mH65GPwA3vBS+P5SU/Ivy8jexWEcweNCTKBQqqvwBtAoF0S3VuT8+8jH3b7wfgEuXiZyyU0IWw0KhNaamI+XOchYXLWZIzBAmpkzs8dT5SxyE6rzoh8Sg0LWf86MtLO/cexuWuAROuflOAOxLivDsqyfpjjE0OT3884nHyRgzk8sWTO2yjx9DxMLyM/LcO1+gkoKcd/HFRFuMHHhuMdZaC819HAy5duFxpRibomMYt/Ccn2G2XdGbf5jAU6pU3++G8yvAI0qcsTOPOx95FBQKQs1usokFwcM+wJ05GEmlxLXmIy6TPqRkTTT+Zg2N6XOo3fNnEss2o5q3BI3Bwynpz5Phq8OjXEmj+ADJJgf+5L2EJDWNYoi7v7wAnxSC2VAoL+Sc/KVU8eNrrAiCwMBJ0xg4aVqn5WIoSMneXWz94mM+e/whBk2dyawrr0ej0//ofZ4oJElEECLdnP+/4fd4+PwfD1NfVsy59z9Gcs6A4/9w0Iv08fV4D3/GlqR4mpKiWOXWolTL0PI1ekc9lXnuTPzyAibq9QSl7ahHvYtdfTZa2Ytf0FM0OI1ZFVvQ8SJvjniHHTECQ+OGkmpO5ZPfNbO5oJE5QxKJNYUtEtpMK4m3je4yHaVSgTWu5+7OQ2emsvK/YXFx+i3D25b36XMNffpc02lskrZzPNrIhJGY1WacQSdGSQGCSNtBdkOqOZVrhl7T4/pWtH0svcauALibm6jKP8LQ2Se3LxRoi2FpT2uOVLr9zVLdYMdflYchdSC5fVOpXLcPc5mJpsRGcq8//RedmyTJBESJkCQTEiWCokxIkgiGZIKSREiUiTKqiTf/tgqVibKMJIP6GA3+ZFmmrq4Oo9GI0Ri2Au13ednj9LKr3yAWbPiOgjgbgkJGlgUUqjRkx0gcCi9K4wEEBfjtakJKLZVZMzgv9maMymbYAO8aZzFYs4bNg21IymI8m15hc1Ej/ZKtGBM95DVF4VP62uYyp/ZT9H4tuWW1uDVqZn346Qk/L0qVmr4jxtB3xBgOrFnJ8v+8iL22hrP++MAvVoyusbKcwxvWUrJ3F42V5XidDhQKBQaLlbiMvvTJHcGASVN/2hobEX5RGivL+fzvD+NqamThnfcdt1jxOh18/cy9eEoquCR5OatN0WxNuhOPaTQ5+TsZdfBt6tIbyGrUIzdo8enObvvsRDIp1NZzBS+zhhmEQhoWVS9tW584bDrzNeF7gt8T5MAbefhKnezOdZJ6/dDv0Ty068O73+gEskbGIwh8b2Geac1k6dlLqffUk35mHE3/eQVUGqIvu+x7beeHICgUCAhtHa3DC9tdQr+WoNuIYPkRvPfNOhTIXHzaLACalxQCMoN+H+6EuTavjlZB2pvnrdvo7uPIu5clCdkvIrSY+VrHy7KMQhBQKxWolQIqpQKVov13jVKBQSOwu8zOSYN+OcEiyzIFBX+nrn4FSYkLyci4rtfx2+xuLtlbSGNQ5MHsZK5J6zkOZMmSJWzZEs54Ouuss8jNzWWoWc9km4knLryKnZNyucT0EvElEtsaNKS7rkMtuMnyJaJUZ7PRtp2BY5WUHhRIELeGxUoL36obqchIpL/Bh0EpU6EvQBuMZeOmUeQb+tJHLGNUWhWHkssIaKy8PSeGv/x3H7GNMrHPPMFN2+9ke812FmYv5P6J94NXxLmmAhRgnpaKQvvjLstBU2diS0ziw4fv5ZuXnmHBjbdTW1JEaYtw8NibERRKDFYrcekZ9Bk6gqiklBNm+bDX1rD6rf+Qt2UjWr2BtMFDGTnvVAxWG5Io4m5upPLIIda++zrr3n2D3FlzmXTuxWgNPb+5Rvjt0VhZznt/uRO9xcqFf32K6OSU4/pcyfp/cujfb1HnsuJR6tijT6TJOhSPaTRJ1aWcvvxjQEdqcQopjQ5cuiZ2JC6HvhNYY5MZunk5um19GN9nHQadnxcNFzB57JsMdhXQP8HBA5p2N3b54SbqSsPVXEv2NhAKSqi1SmodPr7YXcmgJAsTsztkM8pyu7nhKOuH0xekqN7NoCQLqh4s655AiG/2V5MebWBUn65ueINHS7qQgsqsJe6WPyBJEuXl5VjFEFZr58BkWZLwHTyIOjkZVVTPot/V5KOp2kNytg2luvt5GSxWUgcOpmD7FobOmtdhJy1H2vZsiRSO+81SWVoE+ljSE6JpPFiCRYzCM1JE2eKTlGSYlvPTFCwL2f3UvbAb0e5HnWoi/obh3/uBc6Sm5145oiuA/esipICIdV4G6l7MoB2ptvu46b2dVDZ7eej0IcwY0LOocLkPU1L6MgAFhX/Hah1OVNT4Hsd/UN1IsEUB/iW/slfBkpeXR3R0NI2NjSxevJjc3Fy0CgUfjcjmi8WLKXLmEUhQoB/sZkWdh3P2NBPtSQbgy9gaDibouVyzEE2ogGpLIcrgFCYotrNL7IdCmsZ2Xyxmy9f099WR7rucxiw3n4tZaASJXG2QGDGejLJhvDFhHpWpOs4fUsnmBiXb+yvZvmo7AJ/mf8rdY+/Gv7QCz+46ZL+Ic2VZp0j+H0pyzkDmXHMji5/9B1V5h3HU1aDSaolN69MiHELUFOSzf9UKJDFEcs5Axp15Dn1HjPlR+83bupFvXngajd7ASVf/nkFTZ/YYLO5zudj5zZds/eITinZu49Rb74n0VPofwe9x8/Ff/4LBauPc+x87Ltez2+Fk27s7iX3uJdKDkI6LlbljeCXlTj4YPgqA6vjOoiezQcLkraJqwMf8PauI3bE3k2KdTW6ljcsbP+GPNZ+yvG8Rmd4JjGmKJiO+c12m5H42bAkGmms8xKaZ2h7oF/9nC0X1bgKixD0nD+Dayenw/kVwZClkToOLPum0nTqnn5P/uZZ6Vzh25dBD89Cpu9aS+f07O1l5KFzU8oYZWdwxt93i5N5RQ9OHR0AG06RkbKdm8fnnn7N7924ATjvtNEaObM9Sqrz9DhyLFwOQ+sILmGd27b7cXOPh/Ue2EGqpSn79CzNQ9GBBiknrQ/mBve0LBLpYWH7poNuIYPkRCD4nlpQsABq2FaKVFaTNGdHjeEkUObxxLZIoMmDStGPGgBTt3EbRru3kjJ9E6sDOaaz+/GZEe/jiCJa7WFexjhpPDfMz52NQdxUXnp07aX7vfXS5uURdeMExxY1zTTneAw3IfhHf/objfoi+u6WUXWXNBEISl7++leLHFvQ4Vq9LQaOJJxAIX8BGY3av2z4jPopPasKFnW7P6L0768yZM1m2bBkJCQlceOGF7StCAayHPqLJkcb2badjdmZztSeGelMZhVkfEJ+/l3v/20iVPp6/n1THVJ2KcfbDPBd1IRvUI5AVMsuHLMCv1vAdU7j90AEQSgkpVQgS6IUgaqH9LcTqdeDV6HBok3lnbSPnnjmUJGMSVe4qYmUF2r0fEVBNQm4J+hM07W9AVQV2yg810ndEHDHJ3z+9e8CkaRTv2k4w4GfOtTeSMmBwF/EQ8Hkp2b2TrV99wqePPcDAKTOYfeX1aPTf39qRv20zXz75KNmjxzPnupuOmZKuM5mYcNb5DJw0nS+ffowPH/oT5z3wODGpvQepR/j1s+HDd/A6HJz7xLHFiscRYPNXq6hxfUS8cRWKYPuDflP86axv0qBdU41/fByyRsmyKWcxecMKUsThbBsbfoAP89/JnbHruakiH1fM5SxNOoulnMXvyl/BcHgGD4otLzdfgzQqiMKgZu/Kb9ny+YfEpmVw+i03Y4pq/742eQIkWLWUNXopbvBA1e6wWAEoWg3lW6DD1/tglaNNrLR+PsnaNX6srN7F1ZUb0NRVsc8wHzoIFt+hRhQGFZI7hGt9JbZTsygpKSEmJoaGhgbWrFnTSbC4N2xA07cvgcJC6p9/vlvB0lDpahMr0Grp7/7er9Hr8Xs97Qs61WFpt97/kkQEyw9EkiTUcgCTqaWEfK0bSQJ9VLvZ7uivxeZPP2DDR++ALLPytZe58fUPety+vbaaT//2ILIssXPpl1zy9+eIS89oW6/rH4U6yUiwyk1T/yC/W34zCPDAxgfYe+neTtuSZZny392AoNNh//xzghUVJNx1Zy/hXKCK0beV7he0x191clzfaJ7/Lh+AnITeH1gqlZnx45bgcO7DahmOStX7+IlRJvZNGoKIjFHZ+5xyc3PJzc3tuqL+CJMdn2CjPx6/lR3uqSCHSHBmo8/IR9ds449XXsbB2gREWck/Uu5lsFBCkbiDr8TJZOuaCClEzA2voxDrKJSGMlzWU6lsYq5wmHyPja2KVHKUdZRLJsw1Doz1LvwFfj4z2DgnZOarMfdT/+YpJIVEhOIbsVy7FWVUBigETOOSAHDUe/nsiR1IksyWL4u4+JEJWGK+XwCtIAic/Pvbeh2j0enpN24i2WMncGjdKpa98gJNleUs+vMjxy1aZEli82cfsvGjd8keM55Tbrnre1UqtSUmsejeR3j/gbv59PEHuPQfz//sKe0RThw+l4td33zNhLPPxxLXe/q+T5R48R9bEOqUaOXz2BZ7OulTP2T0vkPURsWxzqTFovRi9ypQH2gmODyGXYNHcNK6b/BEjQRZBEFJ1cBRRLOcdP/97NSH9zko7zD/tp7O2YlbkQ7EoWi5433+5COccuc9fPf6vzDHxJK/dSOhYICz7nmgbV7/umQ0/91QzKUTLFw5OROCXkgYAjX7QFBC0jBwbm8bP75vDKcNS2ZDQT0Xj88g0dK9q/0ftkrUWz5FQOaUoo3wl/bYG9PkFIIVrnBm0gXharlz585l5cqV5OTksHDhwk7bir/jDuqffx7D2LGkvvB8t/vLGBLLgIlJ1JU4GTEnHaWy5yQQV2MDpuj29OgOISwdXEI9fvxnISJYfiCNTg8qQcZmCRfyUYYU+PF0GnP039Ztb0arN+D3uAl4PfSGoFB0itI++gGgNGmIv2kEyLD68DuotqoIyaGuG2odb7EQqKwEQJ2S0u38OmIcm4gqWofsF9EN7D7HvzsmZsWy5s4ZNHuCDEw6dhM/tdpGTPTxFyLS9XLBdUe9t56Xdr+ERqnh+mHXY44bgLLfHIblfUPxzj5YYwtxx1sJui2s1aRSN2cqww5pGNawjToaqUtxcoplDv0bk3DIapYEU5i58Wl2pR0AAdbG7WFX9iv0qa8it1pNXmM5hdZm7Mlvc8YakfmfyQih8MX+2YxnOee+FdxQ+SzzEjUINi8hFKzafYT6ZheTJ0/GrAofnxiSkDpE5EtHVUB2Ll9Ozd//jsoWRerzz6GK7Vo1+PsgCAIDp8wgOjWdDx64h6+e/hsL777/mJa4UCDAkuefJG/zBsaecTYTzj7/B5VV15lMnPqHu3nj9t+z7YtPmHD2+T/0UCL8wuRv3Ygkie0VU3sgUF7O8gefpFk9F4ugBFlA56/k35O2U5J2ElnBVPoGmykIheMzUmNk5ConM9a8CpITSc5DIfRD0jZREwoxbvm/GK1dx6ASBYMPHqQwJZ0DZ5zHu8ynKFPk2re+oV5VRW1RESteeZG0wbkU7tgKwMiTT+s0t+FpNoafO7x9gcYA164BZxVYUjrEsbSsVil45vyereutZKbFUdHxzrvtNfA0wOgr0KZHk3hHZ5fswIEDGThwYLfbsp11Jrazzux1f0q1glmXdP/5o2mqruxcfVxofwC1Wlh+acUSESw/kMq6ZgBibOGHsgYdzf6qborvtDNx0QUgy8iSxMRzLux2TCuW2HgW3fswRbt3kDN2YrdmckEQQICzc86mxlNDjbuGq3Ov7nZc+uuv4Vi8BN3gwRjHH7tGhyAI6Pr9sOyNZJueZNvxWQP8fj/V1dUkJSWhOUbZeV9Q5MvdlZh1auYOTujxYRqsqcG1Zg2GUaP4e/nLbKjcQLO/mTcPvMneS/cSPP99Fm0/wDn77iV5weMELXD440yGLFfjSrsRjTsfjXsD8YKGg3n9eW/AKqI0S7g7LobtAQNZ+yV2pbc/lIvNGkrqotnocoIpFb2ihlhliGCc0CZWJEGFRVaw0F6FstrB/kMJWAen4Lv5T6xbvAyAQ4cOcf/99wMQlWhkzlWDKTvQSM7YBGwJna0dtU89DYB3927yZ81mwO5dx3W+j0VCZhYLbr6DTx97gG1ffcrgabPQmy09BoYvffFpCrdv4dTb7qHfmAk/at/RyakMnT2PXd9+zbgzzzmh/WQi/HzUlhQSnZza6W39aJqbt1H/t+UMj17IcOCVgJOd8YvZlxBuKJguxHNaYAynIvOq71O0jSHMzQuBIGJwGvXWZ1m46UV2jhyJpE8mreEkvtLtRSnJjHE1MqK0gNWXXIRFbsYh2NgUUnJRupfaPeEOyEnDRxPUaBk+/3QS0jNQ6UOUlb2B0ZRDdFTX73HQ52Pvd9+i1ukYPC0JhfDDvpvmOSeR8vRTBMrKsGW44OtbQZZg5UNwv/0HbfNYfJ7/eTjIv99CRsT3LKqik1OpLS7svLDthTkSw/KbprqhGYDEaBsAGoUeX8hNxeED9Mkd3u1nDBYrs6/63XHvI23wUNIGDz3mOK1Sy62jbu11jDopiZgrr+i07Fj+yD1OD1vsbubEWEjXH5+JXhT9VFa+CwgkJ5+HUtnz5wKBAC+++CLNzc0A3Hrrrb0WDnrgy/28v7UMSYbxfaN575quNxYpEKB40TmEasNxMVn3zOEbIZwFkGYOi74ir5/NzgDChbO5wbqHNaUziHZXA2BpOowSAxmWUQyPnolCUKAX/0JIsZMlBgM3f6vH6lQwrMhJgwXsN2SzRVhJSUMMISGaelmJ1zmKa1LfQJsGDX0EErdE863+ISSxjqDrUwoToihMiGL2riIssUmd5t/kayJKFxaK/UYn0G90940PjRMm0PTWWwAk/OmPPZ6zH0LfEWPImTCFNW+9ypq3XsVgtdEndziDpsygz7CRbeJl36plHN6whlNuueu4xIrkCYJKgULT881+0JQZ7PrmK759+VlyZ8whMTvnN1fv5/877sbGXsUKQEHhk8TrLkZ0VqE0J3GWzs+jmgasQStJniTOcE7AI8uYFM3Mi6njE/NBEtIGMGrgXNx9DGhXXoN2/TNM2BjunBy//g8oduxgYlwcuf0GEWrwcXVgCVWlNQiyzEg2M/SmJ5lSX40rGOLNd95tm8v999/Plq2n43IdQpZDZPW9nYyM6zvNd+Xr/+Lg2pWIoRDbvviEy5966QedG0EQsMxrycJZ/0zYvfQTZt7srdvLvevvBcJB/mvOXdN2fzmauPQMjmxc175AQSczvCxHYlh+s9Q3hx+CyXE2ABRBBQqjil3ffNWjYPm1ERRlVh2uJcaoJTe1c8pcidfPgu15BGWZe/Mq2DdpCLGaY39dCgufoKz8TWQ5QF7+o8yccajHsXa7vU2sAJSXlzNo0KAex9c6/MSatNQ6/WwqbOx2jOzzEWpoQGE0IrndLFSNJnrMFDRKDQsywwHA/qJ8rl7/NUrJz6pJp/JGyoXc6/8Lbo0SIVBNhm0WmbokVqv2g0JgdPAe3KFlXHGgjIHpszEozexuWsUox0oaFfsZzn62x49jWfNFJClC3BZdjNjiufIPlslqOIzB/w5veWZxsqN9rpvvfZZr+vbl0ksv5eHvHmaHsIOP3/+Y9095n0Exg7DXedi2pASDWc2YBZmoOjzoE/70R2xnnYkyOgZ1wrHL/H9fFtx4OyNPPg1PcxNVBUco2rmNjx+9j4S+2QyfswC/x8Oat19l4OTpvbZmaMW1pYrmT/NBhqhFORhHdS/EErKySczO4cCalexftRyNXk//iVMZdtJ84vtk9tg64n8VWZZx1NXicTQDoDdbscbF/6rPg0qrJdTU/fXZisGTikn/Lg7FRdhp5FXbEnIc/chx9Adgv1emj96DRXcT48QmckQdH2xZw7IVS8gaN4l7R53M7NPOJamhljk3/Y6YmBhOOukkRLufmie2I3lCpCujePK8DdzcOJPXpOt5bVsezw1MZ4C7sst8AoEGdLpkvN5S3O68ruu9HtR6A6LTgb22ust6URT57LPPKCwsZPTo0UyfPr1bq+TSfVX8e20RuSlW/jTvGtRSCLyNMOH37fsKSdz07k6+O1zLmSNTeeSMId1n9ux4E5b9GdRGuHwxRHXtCq1VarlsmcS4wxIbBgooz+/5ZUFvsRL0+wj6feHaTR2DWAhrl4hg+Y3SZHcgyZAQZUGWZSR3kAB+JOnEq2VZlnE2+tCbNah7eTs9FqHGRiSPF01qOIblpEHhh8aqw7VdxjaHRIIdvpze4zwuUfKhUGgQxQCyHOx1bGxsLBMnTuTAgQMMHjy4R19tK/efNpinlh3BrFNx+9z+IEmw/C9QvA5GXwEjL0FpsbD1obN4vf4r0rR9efGcszj7qKypLZs3o9ZbOGIHzbY4QmNVHOk/jksXf82RcWMYadSwQVXE2zmJHEhKI8HRyMUrTmaI4iD6IUfwRuUxtnwGH7odzK7egKLGzMGCaG6xfEU//yS2+9IoCE1muK6Mfnt8bItSURP0cfOuV/lswFxkVxP7TAOp3e3lmvMhJiWGLcotGNVGQsEQq8tXMyhmEN+9dZjmajdue4BDm6q5/G/tsT6CIKA7xvnqDt/Bg9Q88lcEo4GkBx5Andh9tpVCqSSlf3j7/cZNZMr5l1K6bzfr3vtvW+8Ugy2K8WcdX6yJZ2ctSosW0e6n6cMjPQoWhULJhY88iSSK1BTlU7RzG3uWL2Xvim8wWG30nziF0acsPK5eTL9VPA475Qf2cnDdKkr37Sbg9XZar9bqiM/MIiY1DVtCErbEpPD/CUmodcdfVykUDBLwetDo9Ce0C7gsy8csvrbmsIshTjs5tqsJGDREhc5G6pAGcKfOTVAIcEjlAV0ChSVK3K5wD5+CzetpHHEyH847DVGGgQnJjAAaGhrYuWoLJp+fVGJQiHoGZv6d8ubD9NOpMNTsxr1lGQOnX8LEkeOprahm0oyw2B6a9TCN+59HSDuN9H43t82j7GAjy17dj881hLRBBqKTbYw7o2tV8pKSEvbuDSc7rF69mmHDhhEd3bnOiizL3PbBbhIsOl7fUEyDO8Cz53e1jG8vaWLp/rAoendLKVdNySQrrpuEhNWPgyEGGvLhlVlwR36XIX0aBGbtMeE2JjF/WyHCuu3QTTYRgKElm8vrcKCO07XMueMIISJYfqs4XS4CggalUoHkC4Eo01BfzvhLLj7h+1rz7hH2rQk3ylo4dQfJ886E6O9Xr8K9ZQtlV12NHAhgnDqF9H/9q21dd28Cw8wGHs9JZW2Ti/OSoknTHd8NLavv7S0dRQUy+lzb61hBEJgzZw5z5swBwrVlfAcb0GZYUSca2y6O1vmlRRt4smMgXPE6/EtfxF2txXjoFrR9p4Mtnee9S0mMT2WHvZAbV97If+b+p9N+cwbn8vfPKvGhhmYwNHl5Z94ZrBk+mjFVlYxp0hFSmdmV1heFJFEWncDWbA/jPPtoyPk2fD7j9vDBqkeYcrCUjZUppPoaOVTn4BClzP+6gDFr0sl+9g583mtwqXyMz91CaKSCqHcr+co2DZ9Sz0sXhVMULRoLd465k4+PfMyE5AlcIkzEu3cverOaqryw6ItL7z2AeevWraxfv574+HgWLVqEuofaJ7VPhf3noZoa8qfP6LZHSU9/qz65w0kfMoygz4tapz9mQK7kD+HZUYvSrME0MZmmj8JvrrFXdZO9dRQKpZKk7P4kZfdn3MJzqDh0gKJd29n33TJ2f7uYCWedz9iFi37TcS6yLNNcU0VV3mGq8g5RW1RIU1UFXmfYDJfQtx9jT19EfEbfNheLu7mJupIiqgvyqMo/wsF1qwn6WgSNIJCQmU1K/4EYo6KJSkwmKjkFnclMfVkJNQV51BTm01hZjquxAb/H3TYXlVqDLTGJuD6ZZI8ZT9+RY3+4iJHltuafPbEnSYln3yI2iRMJiTVEmato8LdbCFKVpRxMGsA1qQ/wYN0OahMmonF/h9/dyNDZ8/hrSiMfVZYwStjFDMP1SJKF119/HbfbjaSRmKIczNhpE2hWOunf/DfKmg5zQ10V5zmdhLb9m0HSqwwKZcHrlUh3W7G8eTUWdy3wLdx+EZjC9bP2rCxraUBroOzIEE67dWa3x5OQkIDJZMLlCte2Mpu7Xq+CIDAgycL2knBphnmDu39ZGJRkITVKT3lT+O+a0lM84KDTYONz4Z9Pe7bbIT5DLJvH3UdIGRYgVw4c3P22AGtiEggCB9Z+x/gzzw1f3x1dQoDca6rGT09EsPxAPB4PojJ8QYuu8ENF1kLa4J5vxqIss7rRiU2lZKT1OJoGNpeB30He9nqioiSamhSs3WDj3CMjugRoybLM9pImbAY12fFdLxb32nUgCEiCktptR0gVJRTHyLi5JCWWS1K+X/aJWm0hO+uOTvMK5OejjI3ttRqjLErUPb8L0REA4I9qH5sGmXAk6vlvbiZzYju4rGQZNr9EaNdiir+NQwoJgJW+VzXjWR1gRGMO60O7ALgy90oApEC4nowyWkf2wFx8n9W1WTzlgB8wUBedTNzBXaxI2EaWwUufgJ4STToA5zZ8wuGEb0mRCPt2gYCoYU3Tn7FqSjCoNhAVlYWUOZBl473MnT8fvjkfARWx9gDjtzWxvF82SY4irnIUYYqNo0/MFOqcfuLMWi4edDEXD7qYxjffovSR8wDoN2UGKRf/Cb1JTd8RPRcglGWZpUuXYrVaOXLkCB999BHnn9+95UM/ZAjuNWsBsB6VJnk8CIJw3OnOTR8cof5QJduFArTRBubdeSYGg+F7FzhUqtSkDxlG+pBhTDj7fLZ89hHrP3ybyiMHOe32e4/ZxfzXgt/jobrgSJtAqco73CZOopJSSMzqR+bwUUQlp5KY1Q9rfFcrVFyfTDKGtdfikGUZr8NOc00VDeVllOzZSdHuHbibGrtkImr0BhIys0gbPBRzTCxGWxQavZ6gz4fP5aSxspyqvCMcXLcKndnC5HMvInfW3O8tCg22KCoO9y6E7xh/K5Xr9/KtIo++KYeIiyskIdiEyS4zjS0YtV6mjNvEl54oUncOoU9IAep0kgfpOenqiWzZchr3aBz4fGVs2fIVM6bnEQwG0Wq1eL1e1NMSME9N5e2Db1PStBdJlngkNorznE5EYqBD1p1cXwLuDlbmxoI2wZI1Kp6SfQ0ATDgzq8fjMRqN/P73v6ehoYHExESUPZRdePPKsazNq6d/gpmM2O6fAVaDmuW3TqO8yUNmrKk9Q+do5j4CY64KW1l03cf+2ZulNrECIJttPR5DVGIy4xeew4YP3iZz+CgMgq5LVlCkl9BvlIDXg6AOfxEkV/ghq4u19Hpx35dfwSvl9QBckBTNkwPSe95BwUp462yQRS5IGsRbJQ9jVNSzIOqv3Q5/bMkhXl4TjvC+bloWd5/cuWeH7eyzsK9ZzybrWbgNiWy+YRVXPjEFnVH9k5j5fO4g+9dWEPhuKbqvn0MlSfR56mksc+d0O14OyYjuIAGVgCYkkxCEwO5GSEzhkr1FVM8Y3j64cicsvRvJpUQKtd/Ug3YP7k127rXeQH5DAX2yc8hMDqcJNr59EN/h8JuNaUYq8wYnsLGwkbTYCnYlDKF/qZtFmzwI8kSaXH3YEFjD71Qvclf8w1jWljJM+RlPquCrSjVmjZFd9QO4pNGMTVYS8jkJeevQzFBx+HAVsizw7rvvcv+ICWh3hgNjNzWlcejjBC545AkCXi8vHBZ47J9h4fD3s4eyaHQ4INi7dw/KqCjEpib8a79jyL9f6PEci84AsiSjsmrJzMwkPz9sEh4/vudqwdoLr0ZOGk1ylhnbyGNbOn4MojvIFm0BFWI9PkeQvX//e1sW1A9Fo9Mz+byLSR04mM/+/hBLnv0Hp/zh7l9lQ8VQMEjRjq0U7d5OVd5h6stKQJbRGowkZucwbM4Ckvv1JzE75wc3IRUEAYPVhsFqIzlnILkzw9eXLMt47M00VVfidTqISUknKjHpuGJfGirK2PrFxyx/5QUObVjD6bfdi850/IULdQYjjrqaXjMm07SplMrbMRmbqKEvJnU1A5O3k2t3to3J84QLsfWN1uPMa0IQlKDfiSSNJi52HoXFTwAwaNATKBQKLrroIv65eCfLvSr27lcxfGyQUfGj0Cg0+EQf5oCWb8TRbGlO5+qZVpRNCkxjExFTrDiyr8HSuAblqAshvf36GTA+idSB0RTUu8lM6d3KqdPpSEnpvf2AQaNibg+WlU7bUiu7ffHsQnRmr6tTB0QxeEoyVQV2hs5IRW/q3Wo24ewLOLxxLZs/+4AZYy7ptE5G+IXtKxHB8oMRAz7U+rBCllosLGh7v2kedPlI0aqp8Ad5p6qxd8FSvA6UagiJGFwHuOaZmbDnfai7FEZd1mX4jtImUmx6Kpq9vLS6oItg0fTpQ9Tzb+B+eEvbsupCOxm5XS0okiyxrmIdAgKTUyb/oIfByv8epPRQAz57M/phwwlKfnKf+jvTehAsCq2SmAsHUrm2jGdL6vlQCiBb1CDL3NuoZem/9jF4ajJpA6LDbxRKLRqTn+TxTTgNZ2BecCqmCeMJ1ubj2lhBX2UcyfPbH8ihRh+qWD2hei+79tWytC4sHO1l8fxF8Qwxy/pRFz0KUaVH70lBaKqidqmWkbMq2Dk2hdNrnuXh6q18LO1lm+kwE0rMKALrCPhqkUJlACT4dnFETkRGiQEPnPos7sxT+fbdj6hodDL/xutJyg4HFX754dI2C89dH+9pEyyx111PqCb8tpd43309nl/vgQYa3joIkoxhVALnn38+VVVVREdHY+ihJ4+rycd7D24h6BdhhY+rnwqh0f90t4Cos3PQv74TX8v1kZCQQDAYpKysjLi4uG7N5sdLxrCRLLjpDr544q8cWreKgVO698v/3EiiSMmenRxY+x3Fu7bjc7uISU0nuf9ARs4/jeR+A4hOTv3Jg2YFQcBoi/pBjSVjUtKYd/0tDJ42iy+e+Cvv338X5z34OFrDsa3CrsYGtnzxMbmz5vbqUmr2OVip2QfuaNaaB1Aqn0cgTsVo9QGeeekBnOV61k+zET8oFu/AQ6z+/APU+iZMKTvZsimalE2j6Gt/EoWoI27kdABSU1P5qmwfyTYd20uauO6tbURlvoVPDDci9VbczLXBaE5JqGFv3RoSsvoxZNAgPv7bdmpLTgZOZt7kIRxtR7nti718s78GgA+vm8CYjK49gH6tKJQKpl94/N2xFUolI08+nRWvvcSU4edFgm7/VxBCPnT6sNlQdAeRkWlqquo05ug/7v3ZyTxUUMlIi5FHc1J738Goy6F4PTgr4ZSnwhHbw87rcfhd8wbw0FcHyI438fezu0+Fjkk20n9cIvk7askYEkP64O5TD1/e8zIv7Aq/2Q+KGcT7p7zf/U49jbDlX6CPDge9Ktu/Tg3uKmqsW5CjRIYET2GAmMI249JOHw8Gg6xfvx6v18ukSZOwDIoha1AMd7kDXOsJEG3TUZvfzLIP9lAAFOyoDVuFovogX7WSfUs/xNUvhWGnnIPBagPAMM/Mgbj78PnKaCybwfDoV4BwZopzZRmVAyw0DYlC+2oj/paS1dnVOZhK19BkGYSo0qNTrscHuPVGtD4bdy1tQrZoWBXr5LC+HK9+GJ/Nvw6Ls4lT137IOMtQLIM3kuYo50Zew42BZGpA8TjKnOlIo90Y7Hb0qRltx54VZ2JfZdit1ydaz/LXDlC8t56ccYlMef21Y4pE36FGBI0C2Sfi2V5D9KIcUlN7/045GnxhsdK6DXewR8Gyr8KOJMsMTbX1us2eKCp+nqqqj5GNfqKqhuO1O+iXlsCbb75JaWkpABdffDFZWT2b2Y9Fv7ETyZkwhdVvv0bOhCm/aPqz1+Vk55Iv2b1sMR57MzGp6QyfdwoDJk4lJrWXF5NfMWmDcjnvgcd598+3881L/+TUP9xzzO/l+g/eQqXRMPXCy3sftzacPmux1jDLks9z/AFJUJK6rRxHqYFglgHjt8XYvykjP9uAProIfUwRPp+B9esOIMuHuMofLkxXes2fUJkaSX32WablxLK0RVzMSHPzTPkatEotftFPZk4hf4gagvPNf3Nkv8yeFUtprq6ksSoTS5weR52X4n0NZI1sD+iWZZnvDtWRGWukqN7Ni6sKGHNZV8EiyzKv73+drdVbOSvnLGalz+r2uHduWcnSj/4NCWauvf4xog3dix/X5ir8hXaMoxN6rIdV2uDhX2sLSLTouHZaFuoOLv5qdzWv7H0Fi8bC1UOvRq/SQ2MhrP8nmBJgSs8VsNNzh0NLdprqKH3ymxYsjz32GPfccw8333wzTz/9NAD/+te/eOedd9ixYwdOp5OmpiZsNluv27n//vt54IEHOi3r378/hw71nBL7S6OSAxhaeqVIriCyFhqLynDU12GJDQuZoy/uXLOBD4b33i+nDVsaXPnNcc9ndEY0n/++94qxgkJg9uWDmH1559Tho+dZ6ijl5EN6zlnsxK8tZbtrByljs0js2zn1mS9vgoJVEHDCtlfhhk1tq8pMOxFdIgpgnfoQA8QURsfO6/TxjRs3snbtWkRRZPPmzW3ugmijhmhjS3yQVYegENp8p8qWSrD7D1Xx7Tc7QN7Ohi++4Lb3vwKgoWENPl9Zy8/f4RMl/pRXzhG3n6EDQ7zqDiAXeWBGEs+aY5jWP47P7/yAgUYfY7feR3GCjT9dbMdvvhyFMRVFw73snncBsnYY/vrTEOS5iDHhG4jDHMW3Q9byxKV7CQabsdeuwbL1S6Lcdpj5JwB27NjB/v37kSSJ119/ve0YX7t8DK+tLyLKoGFeYhSfP7ETgL3flbOnj4YjVoEZSh1FJXam5cR26exqnJCMv9COKAeIPrd/r3/3VpL6Whk5L53yQ/UMmZqOJbb7YL63NpVw72f7AJjSL5Y3rzx2ocGO+P11FBY+iSCoie4fxNewC/8RPVFaHRsKy7BarbibnRzauo8+6Wksef4pSvftZuhJM0ga3SLi0q9BrT62m2TcGYt486617PrmK0YtOON7zfOHIIZCSGIIQVC0WRAOrlvF8ldeQAqFGDzjJHJnnER8Ztav0k31fYlJTWPOtTfy5VOPUbJnZ6f4GQg/wFyNDTRUlOGxN3N4w1rGnH5Wr32k6gJBCsvcKHw+EN0Y9+q5S/M8yVl7OVKRxIfT+jPujP2YtjSg8cZTtMOOR7oHn/UwAUM1F8mfkkUpXv1WqvNnILsO4q+3UX7361x77jg0efswCgHKN4Y4bfZpfFHwBTFqDb/P2EDanjqW+3z4FQpQKtBbrOSeE8P+76rpPz2RGed0tkYIgsDdJw/g+VX5jOoT1WM12911u3ly+5MArK1Yy7Kzl5Fo7Or6Wf78P/GrAphLnNxbfiYvPLWqy5hAmTNcAgDw7q4j6Y9jUVq61rO6/cPdFDe4qXX6Wby3msU3t5cXeGTTI+yp30Ojr5H3Dr3Hhgs2wOc3hjOKXNWw7xO44MlujyUqMVwbyu91o5Q7Zp39hrOEtm7dyssvv8zQoZ3f5j0eD/PmzWPevHncc889x729wYMHs3z58vaJ/YqLRbl9fjSIWC3hi1J0BVBbDajUGvZ99y0TF/VexfbXzo0jbqT4z8sIWo0cyvwDvlXNsGo7sy4byIDxHQqdSRK0mrbFQKdtJA1IoKCmAIWsYrCYgjJKS+wVnRs4ajSaY6aBxySbOOuOUdQU2+k7PB51S18jSRQRELpErcfETEOvz8DrLSYubg7vlx7g7apwy4KtdO7vNCFxNZ5aFxOHnk0FB9nZvJUlk2sYqhrGXt9G/EIaI/MczNjzBtsHL+CTmQtQ5vvQ+vchKbSYmt7kzH7h0thqtY3YlNMgpXOJ74SEhG6PMdakbevU6veGMEfrcDaGTdcj1l1BhsbAvTUX0SyaeWZFHu9cPY6JWe3uO02SkcTbR/d67lpZdqCGB5Z9isK4mXNNBxg9qJraUCw54oZuC/vtLG3GZlDT7AmyNq++y3oxJLFrRR4er4g4QGRDgZKseBPnjE5DEATUahtGY7+2eha5xelo83bBw48z4/c3UBDSslAciWqXgqqCLRzZE47lqah5mVCZH0nyUFL4IiMbHkG0O4g671yUVmuXeQDEZ/Rl5PzTWfXfV9DoDW0xHD+GhvJSCrZvob60GGdD+PgVSgXOxkaaqyqRWwp9GaOi0RlNNJSXMmDSNGZcenWbpe9EIssy5Qf3IYki6UOG/exCqN+4SST07ceGD97GYLWFrRIV5VQX5lFdkIe7Q80VvcXKoCndZ9JA+Fge2bsBnyWdU8rc7PSHoEGJqNDTVJ2CrC7G0tzEt6vmsm5KNjdmp9C0vJh1iiAZ1QMZFO0kqyFsodPL63GarWjzwTjtOgDUX9cTbwySZ42nyWDi5VFnc1VqJkVFjyP7minNyWfsCwYqbGaiJEiaPpYzPj8Df7of/LAxtBGTprPYOhSnomJSHBVAYSDAUG3XZ1OMPgaNQkNACt8Hu2tACyBY9ZhrWnq0pXVvXRF0ynBgf8ttQ1B17z40apU4fGF3a2pU55cPs8aMMxCOB8q0tsS56G3gDcfxEduv223CUVaUji4h4TdqYXG5XFx44YX8+9//5uGHH+607pZbbgFg1apV328iKhWJPdSE+LVRWd8MQJQ17IOX3EFUFi19ho3k8MZ1v5hgqS93IoZk4vuYe7ypfbCtjE92lDOjfzzXTO2LIAiUNLhZfSS8XpJlhqbEkHjKuSxf8y1O37sYtDORFIOx13auB8Gp/4TNL4I+CsZd12nVZdMu47s+3+EMODk5+2Q0yq7+7LFjx6LRaPD5fJ26kB5NQqaFhEwLQTHI6/texx6wc8H485nmvwJnQz0j55+OX5J4ML+SPI+PG/t/ynSrGqVSz4Gtd6DgPCTCQiezrhKXTs9NCUfYfuhJ6g8uYFZlfwZZJzDIOgGHbw3BuiD9gImnjyH+vqX4NH4mHnwb48EmPuw3kwttAp64zYzNOZNZq5tpOPgfoi++GKEbn31WVhbnXHwF/1y6hyrJwvaSxi7WEq1exfn3j6O52oP66zNw2CuY5KrmFPVaMsR3gHBbgo7IsszGgga0akWX7R3NY0t3Y4/+F2o5yEt+eLA8yKCEKjwj8jGbu6Y53jAji/ImD7IMjywc0mX9t+/8m8KNmSCrYCm8O+Y+nGvvZu2aEv7o12AYGseYkz/B4diLyTSQsn9egpSeTrC0lNgXX2LEa8to/iT8Bik4ZYy2KNzNTUghoa12j3G1gupPHwZRpO6pp3pNv55+yVWE/H5WvPoiidk5nZqEHi+yLJO/dSObP/2QmsI81Do9sel9sMYlICgUiMEgMal9iJl/Ohq9HkkUaaqqpKmqgnFnLGLA5O4Lhf0Y1jU5WV3WSL8VB/Hu/Ix6fzmoBMaaS5GnJyDYpjBcocKcMQpyvr9Qc4siFb4g8QoFZq26x2wUQRAYNudkvn3pGd686yYAdEYT8X2zGTJ9NolZOcSmZ2C02cIFx3qhuuZzLMWbaDiYzl6/Fp0hCbci/GD1hyRineEHat6Ak9hilPl3VTnGoRrcoorNBpGYw5nMUCeRpajCLypZ0WCn/7TxtL4222QjQy+8nOeK6wAYsekgh0YMp6jlVUWh0NP/+Rfp5/FgnjWTnQ178IvtXZbdQXcXwfJhdSP9DFryPH4eyK/k4xFdreRp5jTeP+V99tTvYWrqVCya7q2D1z78Il988yqm5ET+MLH7TD51nIG464YRKHGgHxyLwtB9FtxT5w7nw23lJFh1nDq0c8Xse8ffy+DYwVg0Fhb0DRfM5IwXYNc7YZfQ4IXQuLbb7daXlQBgsFoBX4c1wi/dSuiHCZYbbriBBQsWMHv27C6C5YeSl5dHcnIyOp2OCRMm8Oijj5Ke3r3v1+/34/e3f8kcDke3434qqurDZuuE6PBbn+QKIhiVlK7ZxahTzmgb92PUqNPpZM2aNahUKqZNm4buGAWhDm6oZOV/wy605H42Ft7WVQA0ugPc9fEedColmwobMevUXDAunUsmZLSN8QVFdpU1I6Yn4TEbIRTEY/+Gk647g9zpR8VImOJg1l+6nY8gCMzM7PlNC8L9KXoTKkfz9sG3+efOfxKSQryy95VOXak/qG7kPxXht+E1TS6qZwxHlmVGWm38zfkHqkliWnQMfnUFCoWHaOtoXq5QER8g/OrQQtAZbKm7IGMLxGKIS0RbFS7iVGuOZ0pGNPefdTJq5SWUXf87mnbsQLLbaXr/A7K/7d6F92Weh9XVSnxBJ2e9uJHixxZ0GaPWKMO1VtKHY9u6DYCCAVdygTadmf3jmTmgc4rrMyvyeWp5WGXOHhjPK5eO6bLNVib0jeXTBjVBVVgMRIsiyc0GjMacbsf3jTPx/rUTCAb8VOcdxmvIaMtikaQgDsc+ZDLbrVWq5vC6Oi8S4FpXgTbbRtSAsCsp/vbbqH38cQwTxpPyj38g6Cx4ttYQKHNinpnGFVNepqm6iujUJKqrP0BGRp/no17xIohil/kdjSAIzLjsGsoP7ee/d/ye6JQ0YlPTSerXnwGTph2zTHxV3mFWvPoiNYX5pA8Zymm3/ZHMEWN+lnRpTyCEp9FH874DJPk3UP+fxXgO1+C6+jHOGZqEXvQwJr2Uu+ynsKJ8I02KEuTTHFhcDaRu3o1eCsAGiYa8GBpMQwn8PgOtPhFdcB6iXyQ1awghrZIqf5CKQ03IRS5K9pbSXLmFSl0AVcp+9shx7HLOY+kt0xmQ2P2DdtCUmZhs0ehMZmyJST84q2ndV430X2rn/H3Psj5pCO/3n4knJZmz/RsJGgZTOXks6aKNIy2Vt81KBSHRjzGk4vJaGa0cw6LA42hp5rLmZUg0cbBoC9P/dD2BMme4IKEiCNS17dPQHMugg1ejyE0hbvK5CIKCnQ4PzXYPU+KGc+OIG9lWvY1F/ReRYOyaSn5jnwSeKq4hSqXk2YHtz6RAoJ6mpk2AAIKCWEFgZnwfhEAZ9kB5ey0aQYGA0DJO4PSTTwn/7d35LWPC68KCt+XnOAWqOIEgDQSPek9sFcY6BVw8Nvxc8Ps7x08qEDir5f4b8Ne0fhBGtJQyCNQg9VDYs3DHVpRqNea4eJxySad18k/YRuB4+N6C5b333mPHjh1s3br1hE1i3LhxvP766/Tv35+qqioeeOABpkyZwr59+7rNJHj00Ue7xLz8nNQ2hgVLUmw4lkF0BfEKdoJ+H4Om9v6QPl6+/fZb8vPz8Xq9bNy4sUs6aEVFBStWrEA0iKj6qzAd7IfWoMLvCVGZ19ztNo1aJYkWHVX2sGoelNz9TUeWIWPoSLZ98QkA6UOGMnRG1+aLPzcKQdGjCMzUazs2tyZQ7qThvwcwOKYyZ/5kdMMs1NYuocK+lkDAQ2VVISMUA3kqZiVuRYiYkI5bbvgrs7bD7t27ycnJYczYsYTefRfnihXohw/njcGdrRGCSgXB8EWvMPacQTE8zYYvGL7QM3uovdDGyY/DwFPBEEtW4hCOTmKXpbAT7GCVgzizljqnnxX5Bym2x5Fhzeh2kw+dPoIpR17hcMlb5JZupTF+HA+NvZuHUdJTHocsSbx/313UFIYtIRf+9SkSs/qhUKgZOjOe7cKn7HSY2Zq0lbHmK5m3MJdJq6qRmsIvEprU9rdU05QpmKZ0Lt8ff8PwTr8nZIaDb9PSLgNAujyAIKgQ7c3EXHZZ7+cMUGk0nHHnnzm0bjUeh536smLWvf8ma95+neyx45l07sXEpHT9Dm/78hPWvPM68RlZnPOXvx5X764fhbeZA5V1vJT/HkUlAQ4Ujccku9io+QMGhRvjUCiRT6PebkQgxJKd15HjCT807o37K2XyMG7fshK3R4lCKeBRaDBofdj7xfPncSexa1sWFyx7H5O4jtGx81CZw7VYLsFFYiCPhfEfY6qPY5LxIkpCpbzirqIg5xBm1vKnT1/m4+sndjttpUpF5ojjc0H2RGFlA/vLysiQq3GrdDw58lxifA4q3BY+E8YwI1CAuaGKnEXXEedqIlulJN3xGmtLv+K6ugs4xTkFJRrOR4P7iiyK9/8HpaGRrKxbMGTH4Y3R8/Er+wl4Q9x/SjIF0UquiLdQtGA+UmPYbaV7NpZVw8Zwzf5iICyI8qZewzVDr+lx3rdmJPKHPl2brSYknAaILfckueVhHr7OW39uW4fc4l7pOFbuMLbzNmRZ6kEcdL3/dSnm1u09susyq2V4l2WhYJCdS79k8LRZKNXqLoXjfmm+l2ApKyvj5ptvZtmyZcd84/8+nHzyyW0/Dx06lHHjxtGnTx8++OADrrzyyi7j77nnHm69tb2kscPhIC3t53ugNtrDFp2UWBsAkjuAW9WM0RZFVGJyj58rKSnhk08+wefzcf7555ORkdHjWL1e32ZFiupQcM1f6qD58wLq62sI6mt4Je49opf6mb8tGnPSTdgyM5h+YfdBmFqVki9+P5nVeXUsEb1cWVbBNQS4Nq09Kr71mkwZMIirX3iNgNeLLeHX4aq7YOAFqBQq7AE75/fvbE4dYzXy7egcCjx+Toq14P68ECkQfjsPLlaQMHUEgUAdpWWvAmCxDOOSvrcx6L0zcQsfMsXrJVD+R0aoshh7xnA0ScZwPEZiItEXXojLdZiKiveIjZ2BVht+C0t66EGa3n0Xpc2GbdGiHuc9d3Aiy2+dyv4KB5IsY/cEsfZg5kWhhL7Tu11VV+rkq+d347EHWDQ/HXdiiOTU/RTyCqd+9nfmZ87nb1P/1uVzgiAwt38uJ+U8Rt81e0jUqimudeGklBcHZ3S7r6DfR01RATqTGZ/LSd7m9SRmhf3eAwf9mf4D/FwoaDrdxKURKQSr3eFzp26vRxQKiKz/KB97vZfR8zNIzrb1eK7aToNGQ+w17Z3Hq6urEUWR5OTkHl0vUYnJTDi7/Xvhc7s4vCFcU+KN229gyIyTmHTORQBUHjlI2f697Fz6JWNOO4tJ5178k2QZybKMt6SJt5av48uCSmYpNvFEwsUoB55EoK+alPo8DE43BkV71VmFVEGmV+CpnY3keEoICBo0coA5yu18KY4jCjeCSsfn5YPJGqKgKl2k0RHHwB17eMT5T7TpQe4IXkWpN8jZ+/5DsjqRvwzIZqWumPLGEZh0TuKDfyLRdC7GQPsx95RdeKL4ZGcFKo2HitkaHI4hRPuclJnD19JobxRxTVPx6Wr4p9dOQJLZ5vCwXZxPHF9jD7r4SthCtMrEhFAOZvNBVNZyAApL/0pm9pXsWlGGq9GH3xOCNwp5/IUZLPvPXvKGPoTFVcKIHU8iNjRw0OVFrxDwigGE6mcZ8d+9LMicz4PRo1HorNB3Bu6NGwnsWoslNwrl6EUI+vA9eGftTux+O5NTJqNSqOj4CHU0eKkv85DaP6rH7DtZlrHbt6NUmTCbek43tvvtFNmLGBwzGLWyZ0ufv6AAhcGIOimpxzEQdvUvb3CgUyiYEmXq8RoKeD147M2kDsql0xsg8JsLut2+fTu1tbWdzPiiKLJmzRqee+45/H5/jxX+vg82m42cnJy2QlhHo9Vq0WqPr3vwT4HD6SKACr1WjSzKSJ4Qbm0z5tieq5FCOCtGkjz4/f5OGSPdcdJJJxEfH49KpSI3t72eiGNZCaEGLzF+I3P943kh4Q1u+1REKdYRv/vPaKdPIyblxR63G2fWEtPHwtd7wu6T+/IrOTMhijhN+0XRqtgNFisGi5WNBQ38e20hOQlmbp+Tg6qXCrmhBi/Ni4sQlAK2U7JQWnovVCRLErLPh6KH2iEdUckyF+j7QGoW6Gxd1ueaDeSaDeFeJoNicO8Im0JNk8PFnOLi5jBh/DJE0YPJNAhBEBhz2QpoKsYbGknDq/s6bS/p3nEoTRq83nK2bjsDSQrAYZg6ZTtqtQ2lzUbs9dd3mUen45NlaoocNDV6uOOTPQRaAnAPPzwPrarztSJJMkv2VePx+5iZbSPmqMrAhzZWEfCFRdihxaW8+dJM/rTuCxrKrdj9dhYXLe5WsLSiEASGmw1ssocfjosSe4590egNTL/4KnYvW0zOuElMOq9zywmFouv1p9Ao0aZ3tdod2lTN/rUVyDKUHWjkhpe6t0L6JYnDbh/RLjcHPynC7RAYPz1Erezmk2/DabAZGRlcdhwWFwjHWQw76WQGT5/N7m8Xs+nT9zm45jtCwXBgpEqtYfJ5lzBuYdfeMD8WORik6Z13cB5WowglMbt4G1MDi6kcoEeTqSEuWE+xMomycf3RLavk7qTfM9e3mS/iZnDvZZfyn7eXE6pX8Hh0P84OFPOdLo13PbMQGrwsc/VnqLEOn+FGdhWYCO1bjSgdYb5tLalRdagU0dziauKwq5QtxnpSGotxHNhOtF7H/pzhLJ13CdchM4U3GJBnIeC28IdpN9O3u341J5Bh2YncebAfd6QtxX5FIm8UP0yBpw+pchoW3ZVsConU+BJIUynY5Qz7QfoKxTiQcQZFTGaRw+5KAtlazjCMRxD0yLIXQQg/xtIGRnFoQ9g10m9MAvY6L3nbw/c5h6kPgRseI+q8BVwZCJHv8VPetINy705CwOeFX3D16pfoEwrhEiZS9m4xANXAwPPuoGnAy6wfa+KeteFEEp1Sx9aL2r0MjgYv7z64hVBL2YBrnpnWbd+3wsInKC4J359TUi5kQP8Hu4yp9dRy1hdn0exvBmD7Rdu7jQGsf+ll6lqyc+NuuYXY68KtUGRZ5olvj7B0fzWnDUvmpln9+FtRNf8sCd8PJ9tMfNRNHA6E7/l6swV7dRXpaf3bticIwm+vDsusWbPaGjy1cvnllzNgwADuuuuuEyJWIBzUW1BQwMUXn/i+PCcCt9tNSBF+wEueIMjgcNVhS+hd5aan7yAu/uPwL/K9vY5Vq9WkpdVQVPwsBw72Y9DAv6FUGtBmWPG3uHxMyi94qrYOUWMjpl7Fjj5xVDeVo7rkbK554bUe/cwDTXqi1UoaWwI5LR0enAJCF9vfLe/vxKRVsfJQLfm1zl7jJexLiwmUOJBcQbx76kl9rOdOvqHGRkouuphAYSHGqVNIe/llZBn2ra7A3ewjd3oqpqgOlrx3z4P8lkyy89+H/vO6bLOo3s2lr26htNHD3TOyuXpyX5TGdjFmMBxVGTJxCCQOQdxc1eWNwneoEePoRALBhrBYaZ13yI1abevxuDqyd1U5a98PZ8ssVKp43xzeTlCUOTrZ4JV1hfx1cTgOSSWEuKvveq688jEULZlYWSPjOdByQx42M2xRvHTwpRxpOoJNa+OxKY8dcz7vDctis91NjlFLkrZ3MTlqwemMWnD6cR1nb9ji9d1aqb3eCpqaNhIVNR6fKoG52/IwHD7I9OLwPcanK2DL9vVc19SMI3oElWIcoZLQ996/Sq1m1ILTGThlOnuWLcEan0Da4KEYo6J/soybPX9+DuUXr3LolGtpDOxjQNU64urcJB1yMzVnN8sCueiKqxFkiVdGSDwhjef1nEXoFTID8up4Vb8JVfxexu3qw2PRc/hm9Omg1LBipYvdNTN5u/YA+mgLyuBhXJoSzonfRV9NDbIsUO1/nFRTPKkm2FK3mIO6QnQ+NwpZJvfwTjaOmsFLlpuYIq9mSoLEjeOfQ5XYfbruicIZEnmwvIamISO5VfsGN1WeQ5a/nixlPbCd8tDlRKkEajQeEj97h3mx8VyfUcfYmvU4h93I5thXUOgbqK9PpV/2aXz44Vqqq09Bq3Oz6OywtT0zRWJuzGYEo5HM88Yh63QkZJqoOLAMSazDNiFcG8aqVKDb20T5EQFD33g8UkuhRkMCOCoIFewEIbqTa6X6/gc48vRZ6FV6vCFvWzG6Vhx13jaxAhDwhroVLA7HHrTaRPz+aioq3u5WsOQ15bWJFQBHwEGsvmuBT/e6daiSkwhVVlH39NNtgqWgzsVz34Vf9p9cdoQhKRbyQz7iNSpqAyHWNbt6/VsplMqwMGm9NGRafv6NBd2azWaGDOmcNWA0GomJiWlbXl1dTXV1dZt1ZO/evZjNZtLT09u6V86aNYuFCxfy+9+HW2rffvvtnHrqqfTp04fKykruu+8+lEplj/1Qfmn8Xg+yqqUsvzscw+D0NGGz9F64KyR+h06Xic9XhNH0PtB7caXDRx5ArbZRW7sYn6+CMaM/wTwzDXWyEeeacjROO1OUSYh3nElVeTzVK79CpdYQCvjZvWwJ4888t9vtJmrVrB83kHyPn2FmPZoOVTeFrnqF9GgDW4vD0fsTsrpeOB1Rxenx7g2/1Wgyu09FbcW9fgOBwnA7gdb+Noc2VLHugyPIMuz4prTz23jpJojNgfojsO0/3QqWz3dVUN0So/PYd/lcN7d795gYlBCUQlvbduOoBEJNPrx76hGbfWizbBhGhF1lFvNQ+mX/iaamjSQnL0Kv76H8dvl22PUWpE+AoeG39roSJzqjGp87SLqoZHJ2LJdM6IOpm9TIGocfvcqPN6QlJKvom/UxodDDaFqyj5L72bji8clIooS2xaWUE5XDh6d+2Ot57ohOqWC0UsPiJ3fTUOFmwsIshs36ad2pcelaBOlz/B4FUrAIV+MwdBYNW7edTjDYhB8Nf9K+S1UA6JPFKa6lDOy7mcVFswlWn4VJ+SYPN23nlpi+fJNawMP8sEB/g8XK+LN6Lr54PMiyTJE3QJJWjf4oS6Pk9VL//PPU1fn4zhPAe+p8/Pp6MGionDWTc98LF2A8w/s55dUCk/T7sG7xkr41yD+BL1LyeG22lxfcqahjyjl5q8TlKxqBA/zhw0954YVTye+TxFh5Ln71OJK0CvYKiah0c4hTrqMBK8sTJjC2LAqF7EaJkbhEHZm6cXx7ZAOqgA8ZAZfRwlWuF0F3FqNO/9uPFm2yLFNdaMdT18he0c1hp5oLxqaTFm1ADoVo+M+rLC0WOae5PwoZVuTqOeBbyGL9O5zsdeCVYlmmXUupWkBWhlAC8+vXMq7+a2QZLGWbOAnYk2rh7yYXhrKHSapLIy84jmq3hqbl+/jrVZlUP/Qw0t69iPX1HPnwdQbs3MHQ6SFKdmwE4NO//Ylb3/uSHSVNfLm7EtDgPHATr1+dzVSzCsXKhyBzGtY/PEDwtXfwb/4aveIQxSvCQdsX515GTUEQe8DOH0b+odM5SMmJYvhJ6VTlNzNkWgpGa/cegKys2zmS9xAmU38GDOi+zcrYxLGc2vdUttZs5aKBF3UrVgBib/gd1Q88iLZfNqnPPde2PNGqJ8naIVYxycqf1DYeLKhAq1DwYHbP7QOCfh9epyOcIdRRsLT9rX9jQbfH4qWXXuoUEDt16lQAXnvttTZTbkFBAfX17fUdysvLOf/882loaCAuLo7JkyezadMm4uJ6d7H8UoT8XpSasGBpbXyoNKrx2O29fYy01EsoLHoGgCGDnznmfmy2UdTVhbsDp6WFxY0gCOgHxqAfGAOEOy6rgFRZJsfdxJHN61GpNQw76eQethomSq1ijLXrn1+ga8zWfy4bw7L9NfRLMB2z8qlldh80aWYElQLtMWIVjBMnoMnIIFBcjHHihPD+Fb0Ed83/B6x7CoacDac/3+2Q2QMTeHVdEQFR4tRh3ccTHVhXyer3DiOFZBrH2Bg7Ppm5gxOxzcvENq9rbw5BEEhPv4L09Ct6PhgxCG+1ROBvexVcNTDxRkbNz8Bt9yPLMO38/tyQ0LPr68aZ2dQ27qeheTMLs7/G5bqsSz2icB2a9je3QHkFdc/8E49BySezDYhqJdcOvZYYfc+ZMXlba6grdSLLsO7DvJ9csDgb6vHaC9p+b6wsJ94QRzDYhNJvpVlIpKrDM9ObHcTj1fF12Sw+1v4Fj2wkGi//qi/gfv7Azp07GTHip7UIANTVuPhDUQVHgkEeVB1m3pE3eNs6kdutYaH87egchpoNlHr9/LeygQmffUDKf9/kq4lpeBNHA51rY+T3T2XOwO0MrKvkNOUWBBlKLZejyD0LgEWeel7nLyh01eiCRsxeBz416FqSOeZJS1D383CkH2gPLMB5+HSUkhm9x8ZfdVexMf0TzE2lyM0FDEmXORDv4aGM8SQI1ZxcfQ2N/RdTpBxM/+pSyobczqzh3dficIsiupAXPAIB2YWXAF5Rj9doIk2loKiwkLi4OAy2KK7es48Bqxs4r0ImKEvUuwSCiS/z0NpsMmfZKPnKT+6eg5jjZxOICR/LrL1eXpqwmN3YeKYpjrm7xjCgeDU75pxFrUcmU9mA3yxxZ9NVDBcKOV25HqPgZ2i5g7K+iSj8eeQl5+E8GE7lficf/hgMobTZEJubAdD1D7+omKKiaeuB0cKAREtbGxNkFeNSB6DQKOHccN8vgbCLBW4hWFODetduDGPHoIqK4m8p3btcBYXApLOOXRTUYhnK6FG9v2ColWr+OqV7MdMR44QJZC1d0mW5Sati6c1T2VthZ1iaFbMu/HLzem7fY26z4vBBJFEkqd8AaOhsYmkNGf4lEeRf2il1AnA4HFitVux2OxbLD0u3+z7c8eA/MEQn8MDvL8azu5bGdw9zuO9+ivZu5cpnXml7Y1mytwq95ug4hSAKQd25glkPyLKI212AVhOLWhO2TrWm3LbS8XdBEAj6fKg02pYMut7HhvfR9ffMWCN9Yo6jm/RxIkkBKirfR5YCpKScj1LZ/tCWJQnJ40VpMrb8LnNgfSWuJn+vbypd9yFx4MCB8Pyz+xOQaKuWezQf/HUrXncQV0P4DeTvNi9PnzucM0b03ris9wmI8ORA8DSAFIJTn4FRl3YasrFyIytLVzIjfQYTk7vPxgAIhZyACpWqh7byHSi/8SY8u3byn2GNfDdUwNvSz6pjyvfR1Je7+OQf2wn6RGLTTJz7p7HHd4w/EFmW2fDhOxRs28TAKTMYc2q42F7Fd18gfWsFWcGLs2L4xiAyvWgxVwrPUJGo59Etf2Cq6xD3q/8LQH4ohY+DJ0F0MqdPmcDeld+SPngoY89Y1On7eyLcPM1fF+JaWwHAv/pVsSpBw+otlyIo4Lp+f+az5NnMNKh5Z9xg5mw9TLnPz6BNb3H66q94/ZQ4JlVPRdEiLPvlrGcvfqLqyrm9qQFB1uMWZ6MUnLg8w/AIk1CpwtfExQnvMIjdhAK5GP0KFi7ZSaxXou4mJ/7kEApN+xvu6ndvI17Rn2HGr3h40FI0skyxRk20y8qVdUN4aOr5mHFQKaSRHqjkUfWNyCEjAwY+S7P9E9QOI+onjxAsLsF1/TmsV6RT35DE+zaBeL/AXY5PGW15k5BKYKViPEeKhtIUZSLOHY4vyZ5zMrf7tXy3pBY55MGiicETcqOIu4h3YuN4t/AWBH8sLrORrGQd8/bLGAMhCoY9z3p9Ad6WW1Nd2hsoGgJotoe7Isfq67ln7HPctvp+RghH+LfmSWIFB39MOpsvdeFeaGZNFhX7rkEQwxtZf8MkjAfqCBasR5Meh2XyMARjLKh1VBw+SFVBHjnjJ2FpSXH3BkSK6t3kJJh6jckDkLwhfEeaUCcbUccdX6fy3yqf/u0B7LU1XPr35/DsqqPpgyOkPDwJQaXgrvsfxZqazR+v6jnB4IfwfZ7fv95ysr9ilJIffUsjMNEVRFAryBozml0rvqKhrITYlsJVJ+f2HtNyfJyIbfyy7N37HDW1r/4fe28dJUe5fX9/ql2nx901MnF3N0iQBAgOwd3dL3C5XIGLOxeXACEEiLu7TpJxd+3p6Wnvrnr/qMkkk5HA1+7vvou9Vlamu56uru6ueuo85+yzN0qli8Kilxg18nDniSkoFJ3BivxYYOCk3x84bN++nc2bNwOg12u45tpMfJrZPcq7D5gQw7alsobJD0a5E0vbg5qkY89e2rduxT9uHL7EBBITEzv5JN2gUML1KyHnB0gYDeldvUSaXE3cseEO/JKfb/O/5ZM5nzAyuuc2UZXqt5sCqqKjCTQ2YXQLeDTysQnniIbD401c95cJuNt9WCL6DooOtzlp9PqYHhqEqjeb+3NAEATGX3olA5IiaH3lIyp+XkPMiy+iq83AY2hFdPi5Y2MzLy1ph/UvIQGv1y+hwRnGp4G5zDXsQmp0s6s2BRXFRKmDWfXmK2gNBipyjiCJIPmHEnaiCYM3gCqkjeBL+6NLPfeKsidIvgCOfXW4VQI6v8RthQaer7yK9gYNpmgvReYkYvw1XNi4G3hB/oz2LeRHruafi7RMsKexOmEN4Q4j1xWPQXn0Wk4mLsVr0TPGrSPFfjeCfxwK1LSaGqg0Owhv8fOc1IjbdJBtKg8odpHVNJwNY25mviINqvNo1C0jLLwClcpPbUMKtuASghpqadNamF54DStS17JwZxOXbWtGwVbGajNYP1Y+Dy9t/A6TNZSoy1fzzI9fktDmYcih/VSG9MfR7zxSd9bw8SwNdxz8iaUtLqqiNIwZtB2zzY/OG+AatvBcqZcDXI1W4WRR81HSXnqR+1KyKFL3Z5hG1vQ51rgK05QUjrgSUQRUqJUSgVgDeSlGctPlAO6ZQ2nUGKqxtocwvDSOiFXP8OXkJViRs9bzU9YRqhfpF5rP4ZYsRnne4XL3bg7HDsIVPA9/o5PEQjdhE6spcCYzz7KK5rW7kIrmAmmEhPyA8NqV8o+5ZA2VVoE1+w7BvkMsXryY/v37o9coGRAbhCRJlBxppN3qJmtMdGeptfNckCQa3z+Gr04mqoddMwB9Lx5s/+moKcil5NB+5t31oGzOeSrwP1Pt9j+JdPsHIBAQ0Ug+gsynnZoVRjXOdlmt0XAOd9SyJgcSv0GPA/BbrXhyc9EPGdKnzgfIGQZPSSNKvRFN3LnZ/pVtleS25DIudhxmzTlukD43FG+E4CSZpNoDjrQ5KXF5mBMWhLGDxNtcWcG3//qIRkkBXMLIhE3ok6t49dVX++yQ+q/Abrej0+lwu924XF5ycx8ll0eZMb2429jsKfFkjommoLEd58k6JqSFMzI1lGN2J+kGHcXbqjmyvgxj4U7ibCtY42hHUijQCRruu+oONAlmXC4/7VaPrCp86kYengHTerajUAgKFGfUu+SWyL7RbvWw8p2jNFa0kjbMwZDp/YnN7NoKGfXwQ+gHD+ZunZpByU78kp8L07oSZStcHj6saiRep+Gm+AiUgoBGp8TuaMXjAm3TcQiKBUvXQHFNo43rj5d2Pq6bNrTXY7Xb7ezfv5+goCCGDx/eLbDLybkd8cXNKJsFVMcEiqZMIXXtXrwVdgStRNjV/SFOgtA0hJZijIkRtKak4jcoKSnNJLS8EJ3Sh4dYrA3jgCLc7XIJ1uMOxba3mgSDCh8ShVYjofMvIOHJxwm5/HKE39kM4DhQj+QNoJNAwIpWLafnTdFejkz7kMf8jwNKBIOf2tphfJR9Pg/utFLjgxt/9bN+wQ0QVcx8ez4Ta+TSbKB1Nn/Vf8Td0ZF8reyHpV0ANxi8enyxj7A9LoWP846xWGkkWpSoU6io8kUxxZ3CPkRwZtIUGEdh4ViUSj/vjLuErP7FDK8qpdybjcmr56rDYxm77w40hgB+p4p7v/mU6Op8ssdmEWS5HufI/tz6Qx55dfHcWryWEikUoa2eigQTH2XN5ZbvljOh+BhKr0haOXgz9OgCso5LmSqGn+OvJhAwUS8GM3TPx0TGhHLh+pXYB5TxalQhguI4k8vK+dJwFeexlsuGvc6mkzM4aDfTIJ6PT6kko9qLVHg+kwvPpzF8N3qPvHC4bM83OOzxNKTPZLI9DVHcw4Mj3sHfaCLcez36IyO5syQCSuBh1UnSlLVMEL5HMghoFS4CivM75eyVpStOc91WPcQR4RqCg4NpbW1l6dKlXeaeooMNrPvoBADblxZ272ATwdfkQhmsJdDqwV1k7RKwuH0B7vjqENsLG5k8pIG0xFrOS53H0Miu14rjcAPtWytRx5kJuTgdQaWgpqaG9vZ20tLS5IYVSZKVaKsPytnZmCEyB+ijj/FWVRK2ZAnatDQaGtZQVf0lwZaRpKTcg4jAe5WNFDvd3BwfQX9T10XIymO1bMyt57xBMcwc0F0Y7xQqT+Sg0evpP2EK0DVeETqe+CNg+Q9DbbMNhQDBHRkC0eFDYVJja6jDYAnGENQ70XTZwSoe/P4oABcPi+Ofi4f2OtZvtVIyfwGBZjlNmrlnN8peTCT9fgcHtlyGQ5GH3ppBP+E1Qhf23uNf2VbJwp8XdjLd91+1H52qD12dZTdCnmwuyMw/wcT7umze29rORYeLOuubddOGUt5YxPp7b6clc7hsXqjRcaRyMvdXfsjJsNMX/L7SFrYXNjJnYDTZcX2TdAv372bTJ++jUqtZ9PjzBEefzj5NnToVURRxOisIsrzX534ANDoV2QnBZCcEE5AkzjtYwFG7ixGtJzh/bSRGhZXasNEog5OYrYjnx9AAk9uXY//Xl3jEIaxzBHD5RFRqBbe+OfXc73fEw49Vr1NrbkG3MKHbhNYFFXsh4KGoKInmqnZ8jrWc3JzPyc0wcsFCplx9mksjaDRYFsjKmRf3srs7T1ZQ6vLQ5POzrqmNZcPSWbFiBUeOHAHgWn4glUq46F0YemXn6/IdbjSCgPc3TFLLli2jrq4Ot9tNbm5ulw6/QMBFY9N6gtNMaAvlLqmgq65l28ZKnDo1467ohy6pIxN25z5wtXCp087GTU/hcXh5uvU8nhs2kojKUpz+DBxtGjTmKxB9ZVzz0sXYmrRs3H6QNrWTu9UKihHhgr/y1d/+ROT7H5CxbWuPx7yxYiOH6g8xWjEA+/bjeCxhFDU0o1GomScNwqAQUOqOEmwWEUNnorjkfQbpjHy+8mu2V2bSL7SQ4cPiidFreW/ENXy95nOiLekIluNUGUbzlmoQc1RV6PwhjLEN5Mrm6dw7yYOi5FFsvks5bLNw3LqHQEkyZf0SUVce5PX9XnYNkNgV1Q+9dx6KM1gDQ4euZqVrIdtCx6Hz+ZhcdoK6+DhMdvkGFRD8/DJKyWXb5RzbieR4fpw1ie8VVhZseZiQj0bSmDEFVUhRJyvBL6hYLySgMXxOo1lE2eFgrtIH0IguTmSZ8KkU1HkzGHI0jC1CAJXoRykosVWW8uplCspSKwioGmgPWFk3Gh4XvwKliYgIB+ePXY3tQAS6wg34teFcduBuQImERLmxkcRSD0FA2vRKFCVKRklqlJUzUDu3o9ZUEmItRco8So1mROf3MM8kUOZVcOL4dKJjCumfeDH9JlyKy9SILisUwfEQbHpBdpG//GvGllv59Vd5/rrhhq48NHe7D4VCQBR7PscFpUDo4kzad9VgGBpB0OzkLtv3lDSzKa8BQdPIPtcr7MuHb/K/ZtXCVSSYT3PDWpcXogzS4jxYj+jy0zJWxddff925/bnnnoOyHbDiDvmJAx/DUw3YVvxK4xtvgChi+2EZWSePcuLk/ajVoVituwmILnLMt/FCcQ0AX9e2dFlYVLY4ufPrQ4Csg7P8jvEMS+x5UW0MDsHrcuHzetDozgh6erYW+rfgj4Dld6KmuRWAiBB5gg20+1CaNHgcDrSGvrMgO4uaOk3llh+u7jNg8VVVdQYrAN7KKvS9BCw220EcCrkd1hVSiG1bXp8BS1V7VZe2PLff3XfA0pALYemy0+expd0ClnK3txsZ68vVf2GA1UlTcy2eqATUPje3q7/GiJs777xTPg6rkys/3INflHhzUxGbHpzSpxbE7h++QalS0VpXy8f33tzp0AxgMpm44IILEEU/JaVuHO35JCTcyNGjR3G5XAwbNqxX7Z4Wn5+jdhdahcAVdSvRayZQ5+0PQMiJb7lr3oPc/eV7qKvLKRm2l4TgFAySARfg952bNS+JEq2/FKOxaImvCkG/WQe92U0d+AR+vQ+ABPNU1LoHcdusqLSh+D0t5O3a1iVg8Tc20vThhyiMRsJvvrlHPRuNQiCyzcfzx11Ui9U8smolMd4y5mtPstY7kg3KmdwS+AS2vNwlYLkuLowCp5sGr4/HU/suTZ7JHTnb7FGp1JOUeAsVF3xCYEQEA0a+SV5pMMWrygj4Rb7/y4HTK1ulCkyRrMt5F6NUjhiwo44p4JoOTo7PG2DLl3m01DoYdd4YQmIiCImBwAWNfP7deoqjT2uqHIzKYlbFgR6PN7c5l/s2y9/z58CtZcNpNsai0xuw+V2sidjLiOGr8Er15AFTp2wHpRafL8A/DtyKLxBgU+UUEtOiuXw0hIWkckfmAJSmbZx3fA9V2khGjv2eT/Qr2GedS5PowaqZxTW1/8Cl0xId+Ijj1lEEBAEkgYb6KGr3hFGWthBLZTSj6qpxmVdQHXcekeWNqIV8ajeb0Q46TkDdQmx7Ew5NGIJQQ0DpQR96mO/SIvj+pAPtDD0Nh/S8vOQePAYlftUgls8dzwevPM0Vv25h9uN/Y1XQJmYcUZIxuAFD0JdIopZ10x2oQxJ52HmcYwP6kXvSiGF0BYLWjpqTPH5MyxwkUgvWEOSygQRPfidy2eMuCJzWj690exhplDMz9ZVD6R/oR4tiJ3XqUrZnfo7JEcsBhYk22yxIgKtS9jI08Ssk+qHMl89fX/PzhGpuRxL0OMPuwJhcjaPEhK/mGMN//heaBddSaRuJtXgBeyQVwl+1PGSTUHhbeG/oTaSPuxMJidKyt5Ckg9x885VERs7uPEe9ZWXUPvscpoDEkJl341IYGT67ZyuYiraTbD36CboiEwtHP4c59HTXzuD4YOKC9dQ4BCRJQBDkmVAhdM0wahKD8BS1AmAcGUVu/UkUCkXXa0V19vwkoDCbZZPZU88IanS6RJxOuQs3OHg0QULvGUStWoFWpcDjl/dh1vV+y49Oz0ShVLH184+Zdctdp1MspxR5uyvJ/Z/jj4Dld6K+WU5DR4ef8hHyooowIDklXB1lod5w8+RU8urshBg0vNZHsAKgy84m9Prrad+xneCFi9AP6rkUA2CxDMOoycThLUDrTSD+vpl97ntMzBhuyL6BIw1HuKLfFQT3IMLWBQteg61/g6TxMLc7S/6iyGCO212y8WCinHI0ZQ3Aod/N2CMnaAsvZP7VqSgCw2D2i53lgoAoETgjZPf3sso5hbQRo9mz7FsA+YLqAQqFivS0hwDYt28fq1YtB2DNmjU8+9QzPTqfRmjU3JMYyVe1LVSnn89d9Q9i8yYjFVmpcRoZfnw/Y07KmTG2wMf36mluUDHCp2TsRWl9HjPIvBxtiuX0hDW2j5t//XHQWsBjI8y+hev+sozKkyEcWfsD5rBRTL32pi7D6178M869ewm0ttLyyaf0O3K42y7f7Z/AkfU7KLEGeEWCWKORAeEanG1DuV7xA6JWiSd6CtpLP+/yumC1ircHJJ3z8wEsXLiQffv2YbFYGDmyOzcnPf1R0tMf7Xwc6m4k4O892MsOy+aHgh8AGBoxtPN5tUbJrBu6Gza2Rzawc1I+YWX7sfqzmRpo48KsEGI+kv2djh07Rk5Ojmy5MGpUN2KuvaUJlWjApZZvGtNmptPUXN+53ettQK9PQBBArVLi6MhEaNWnzydF/AByy4w4vAYGiut4ZdcyBi14iDUrqrA65MzSK8EPknpciShqEQ0bcenL2Bw8gRZnCDVRo6iOk9PxDSED+MHciqfNB+HBXF3dSJivH37zNkztx7EJImsT4JqK2USmHCAhMZfBwKfuazEzGtUQA7HGKk6oZPXa/s3F7Bs7hqj6elbo72Jv8YOMC06iprweU793adc6AYGJsXkUqlP405AbeLO0gnxHC9hDKCgaSbO6mLHeZLyih4AgIPRyuX7domFiv/vZ+0sB/o4Op5HOTLaZalHrbFztmEqlPQY1PppR8VXJaK4tncJOm0R6kIRLhEPOAH7hDYbplCSW5BPSdD+2XWYCTiVKUUX6gd3UZ92KQlIhIfHP8nqafX7qvX4m7s2jbtpQrC27KC19HYAW6w4mhx5CrZbn7aYPPsSTl0fAZiPkwDWM78Ncc+d3X6LWaGiqKOOzB+/krk+Wdm4LNWrY+OAUqltd1Hsz2Ve3l9nJs4kzdS2vhl8/EE+ZDXWEAaVFy0jXSBoaGrDb7cyY0cF3SxgNV34H1YdgyGJQaTDPmkX8W2/irazCctGFCILAyBFLaW7ehtmcjdGYykzgs0EpFDs9XBrdNXsSadax7PbxbC9sYkb/SNIjey//hyckMX3JrWz46G36TZxCmNChcN4lw/JHwPIfheZOWf4OHyGHD4eugcPrfmH4eQv6fG3/mCBW3du7kNqZEASBqMceJYpHzzlWpTIzZsJK/H575wXZFxSCgvtH3H/OcZ1ImSz/6wUahYLnM7peoHeNuo/t749Ag5IF8RN77NxICjPywTUj2VrQwPzBsWRG9c2lmXDZ1QyYNA2t0dRn6e0U3G43SqWSQIeBXvVTOzEMiyR0cXdtlifSYnkiLRa7vz/jlWkkFOfzWumbxCR7GFCjxKPWoPV5cWs0vN0vFPrBa31wOs5G+JKBeKvaUYXruwjZdcPE+8FWDX43zPsrGp2KtOGDSBs+CI8o8lVtC6LUzlUxYeiUChRGI6JTXs2q47qTlUVRYv2X36IpqqQ0eAQJ+lqeGvs3VEr5O3k991LWGY8QkErJ0Qf/5s9zNiwWC7NmzfrN41OHRXDJoyNx2b0kDOyuuLsocxH9wvrhC/gYEjHknPu7efDN+CU/7gFubhsymUjDabsJh8PB8uXLUSgUFBYWotVqGTx4MG9Me4NDDYeYETEZMbKOiOQUjFGxGAwGNBqB4ye20dKynZiYS9Hp5O9Wq1Ly7S1j+eVoDWNSwpiceVp6IU+3hE0tcmp+b/vVnVmjrVkZVFtdZESa+Nf7R2hVtaL3Smg1M6gMrOTE5NEo6z28F34eMypEEBSsHaLHc6QdSatA8IgcjriQi7X1RKi24xdOB3ojIrZDopyJ9Xq1+NUKrBEHCG4YxyOqF9nhmUyspgaL5KOACaScX81Bo4XpbQk8OD6SAxFJ6D0pzN39AtPdTUQFafg1ox/T8y2YDeOoO6ahqcNNOSrwKysqQNJ6yUicjSLQTmHqVKYXVrApQ24JvnfI3Ux+dy/+v/yDKZlRNA+5lrRAPMWefJyF+YSRTMPAL7lV72DZLxdy3ZF1JNkbcKQbuXJkBQ/H3co+dTPalhBM5dmUNBdwU3YrRU0j2JcgYfG4mTp8FscXJPPVvucxeUNoNFZyV8gG1jfLc/ONcXIGRKuNQRA0SJIcLJ6pzqwfPBjbj7JXmmHs2D7PrdRhozi0+mcAZtzYXdlap1aSFmEijXGMjxvX4z4ElQJd+ulgQq/Xs2jRou4DM+fI/069ThAwz5yJ1+slp6iMfUca6RcXwpTMC7q8bE547/NhdpzlnOX2Uxg8Yw4ntm5gxzefc+Flj8hPnlpICn8ELP9xaLXZ8UsKgjuITaLdS375DtJGjmbK1d19j/6vIAiK3xSs/F9BqVAyNWHqOcfNGhDFrD6IYGcjJOa3dxCNGzcOn89HW3kz/QvkycJ5uKHHgOUUzCol344ewoa0FITxMcSsfYhrSt5n64ALCR82FNeSOfw9EGBhZN/k6rMhKBVoT/E0+oIlHq78tsdNr5TW8U5lA34Jniyspm7aUKKffAJdViYKoxHLRRd1e81d3xxiVVE4hIZze00BQ5KbOoMVgLj9R7jGpWLluJ7LZe3bd2D95hv0Q4YQdsvN/yMtww6Pn0qrk4wkM8o+Oo8GhA6AQM9typIkUV//Cw5nEbExl2HWx/PIqEd63I9arcZgMOBwyJ0epwQspyVOY1riNHlQD4mkwYPe6XF//aKDenQ19itMMl/rrEyhSasiK1oOxudMS2LNSSteSSSrcQNVeNAdzEWb8gt10dUsCzZj9oTjUI7CnzIUZVk7OqXIY2OiiR9dQXGJk1CVAWPLJcwTFuCZHso9+y4nzR1EaJV8s9S3RUHAyY7KsUxN2IwnoKbx5AAe9r+LJuBF/fdw8se2c6CjQ8yljcATmExF2REcg9qIqE7GrNzM4Ymb+WjHY1ykO45XqWG9fjhByv0oJQUtyeOwE4oKaNEuJ7Vawli8gB/32Bm47yAHByQh6IK50JeBKEkMaBtKak4BvuL1bJw+nSHtW3lm35ed35EdNQ2KYHKVq2lX6nGGtdKkzaWt6gKCVu9jZsKtzE8K5cey19gsHMV3NILRvoEk+NcxXDuUWVEmpoRmoRUUxEg+Nnz0Dh6ng6EL/oVCV0t4+DSUytNl75DLF6PLzgYxgO4M65OeMPW6mxk8cy76DquS3tBcVUF9SREpw0Z2Uxl3e+pote4jOGQ0Oq2cucjNzaWhoYGhQ4discj7lQIiCIJ8HkkSLXVWKmr+QkvlZhyHw9EEgrjLfylXTs7m8bmZsPttaC6EsXdAZP8+P8dvgaBQMGzOfFa99QrOtrN1xf53VKF/D/4IWH4nHA4HPkGNQqFA8gWQvCJuv4OZN94vt4L9h8Hf7KL56zwCrR5CFqajH9iDqmLAL3cJ6SyQ2Pdq5P8lqNVqZsyYgb/VTeO7xwjYPGgzgs/5uv4mfQfTfjYMPEbVulWUffwOZYePMyzaxjXX3/rfOq7Gxg2Ulb+HyZhBZuZzKJW/TWvGKYpoFQr8gdMr7IBOw7HpSUQbownuwbxvY24DScEaylu9rAnP4PpyJcH5F+ALLcNSNZWjzl0ItHO/qrsqshQIUH3vvbgjo9jR5mKIy8vE+3ouxbHrLTi+DPqdD5Mf6vUzNLS5Oe+NHTS1y+3khX+eh7oHHQx/q5vGD3MINLsxjokm5OKuImfNzVs4cVLOEpaVvc2M6cWIksQxu4tYrZpI7ekslkaj4YabbuK5k6VUaPSc1Jk5W5Pa3tLEmrdfxWmzMf2G20gYMAhfkwvHrhqUoTpM42M7u8FElwvX4cNoMzNRhZ++XgZMisXnDeBo9ZA+3MDJ7ZtJGDioC+fBUn6ASTseQ3K5iH3lFfqHRrLhwLe4PHnYVRJ2UxuNpmqUzhweOT6NhOpa+p08BssgJS+XmJj5DPK5MWojMWlMLD9cxYkTj5GrtmLymVg5LxvnimJ0YRq2VF/DO8eGc9Wu1Yy25lJBCCDQkCbxefx3pNUHKI4cQrDUzAXqKBIyLqCyKZk8Ry57EnZgLszgAe/nrEpayNbMISj8VcxRSIzOLWCaJZLWgIRBAaN+LSHPFMEzoyai9Xs5GR1FQCEQCDho8dQSqpVLoHWOw4QB/U7moPODqAdFB/UlfrgVn19BnM9Gq+DGoxCYJebxunYj/iyBl8VB+FU6ooyRBGduR9TWcUWJmrFCO0rrFngphn7PyTfYHd9+x8ltm/B53OTt3ErmS7fy9do7GBo5lIdGPoTXU83RY7fgcBSRlfkc8ULvpo91Hh9hahVh8T3zW06hpaaKLx69h4Bfto6454tlqDXyde3329m3bwE+n+wYPXbMeurqJJYulUtLmzdv5rnnnsN5tBHrDwVIPpGwJQM5cKSJY5urkJhNTHwFLkHLXNUulqjWckPDBjixHNY/LR/Aoc/hub6FS20N9exe9g1ag5EJl12FRt+zpkzKMNl6xVpbjR5FF6LtHxmW/zC4nA7EDnKU3y6nGqP6Z8iKin1AkiRsLh8Wvfp/zb/kXCg/doRNn7yHRq9nwQOPExQeiWNfHf4GJwFfgD1fbcK8MJUhQ4agVp9Rtlj7BOx7X/578OWw8P1/y/H/V6EK1hH9yCgkbwBFLy6qfaH82CEMlmCctlYOr/6F6f/NgCUv/0lUqmBqar/D5apg+PCvftPrHkmJQa9QEJDg7iS55PHUzqdYVboKgDuG3MHtQ0+nrI8dO8ZQoZyjrdEkG5UsdAcwmAcQVT4EyuUxc/K+QOF1EHPNbd3fUKFAFR3N/Yuu42SqrLNx27rVDNy7g8yxE0+rKduqYN2T8t81h+T298E9i0vlVNs6gxWQsy3Bhu4Cf67jzQRaZGK4Y29dt4BFkgLdXnN/XiVL6+SbwrsDkrg46nQW7FBAwfdeBXg97M0ppWzyYHRnBEpH162iJj8Pv8/Ld396nAeX/krL17kE7F5Euw9PUSvh1w9EkiTKr7kW93HZKDPpqy8xjJA7WJRKBcNnJ+FxOvjonptx2+USxQ2vvd+ZGWxd+i3KoCD8Lhc1Dz5I/7xcHg0t40971nYey0X9buahodfhc35N4/q1iIKApkP1e1npZl7eJ3tGvTDhBcamziHKbKK+TU1kpImIhBia1E0gwtQ2iCvbhcXT2LFned4ZVNxKubkdPK8QuvFPOANaVgf7edo1lOqAnx1JKwAoCz3Jp+YA/rBQQpreQ+new/4EGKZaxPdONx96fbiA92Nmkl24mmhHM3XGMD5Nv4j5DWtQEWBdy0miTOE0eeuJCZ2DVZtHzeU5pNk8mJYJ6A1+Vo4YR7LUyPnKvbxar+CByAgO6bVsClLibwaVQiJB4aVW56U1Lh5zyWJa9ZVEefJxtukxhrSjUEmywnTAR1BwFD7P6aaCZ3c9S7g+nC9zv8QT8HB1lAWnsxyQqH79T7RvfBVPiImIzz8kNu509vXe3IrO82nzqCwiNGruzi2nxuPjT+mxTA09nUWxNzd1BisAAa+vM2Dx+WydwQpAQ3UpLU3dtVza99SgMKgJ2Dw0f3KCEoWCoAgl9Y5qjvv6IQkCRaRyh3EVH147Eoqs3fZxJrwuPyd31qDRq+g3LoZNn75PfXEhjlYrh1f/wgPf/tzj63QmExq9Hld7G3qCz2gNEv7tbUJ/BCy/Ez6PC4VaTi22VdYBED2491ScJEkcOXKUTzYcZU+LmlalhYuuyOaO1GiS9X2vrNc22VjZ2Mp54cHMjeg5FXmqO8PnDbDv5xKcdi+jzkshuAcJ+J3ffYHf56WlpooP77yBB5f+ijrVgrS9muPKCvapi1CvPciBg69y5RWPERTUsfJozIOgeGirgmPf9hmwNDgbeO3ga4iI3Df8PqKN0b1/N6JE29oyvJV2TBNie87unIGyY4fZ+e3nBEVEMfvWu/vsyhKdTmqfegp3QQERd95J0Lx5CH0EKw0NaykrexujKYN+WS+iVJ5u6xt94aWsfe91tAYD8+97TH7S2QI530NoKmT0zN2oLcpn6xcfozWamH3L3Rg7NHpMpv60tMjeSdExXZuRPf4Af16ZS0G9nTumpnfhSASplDyZ1tVuoLC1kERzIhX2CpYVLusWsIyytNO//QgEQO0up8YehD16NhYhHH/9bjQWA/5GB7UPP0Lb+BksPVBBZpSZC4bEIggCSV98TvWRUtS+WnzqGMoa1jLTuoajX+zEHB5O6rBRcvtoUBy0ycqwxPTOOZmQHs6sAVHsKW7muvHJWPQ983n0/UOxb61CtHvRDeg+uYeHz6Bf1p+pqTmI0Xgeoiiyw2on3aClyOnhpZLaLgFLqL8EpeQnIMjv53FVoDMld26PzerPvp9kkm9orJx/EdRKJI+czVJ08I4kjwd3bi7K8HACTU20rV3bGbCA3CG1Yc0aPE4dCD6QXOz9filz75EN+iwXX0zNE3Jw578rk337L2JG+uNEDfsXJ5faULo0zBw+AIvWgvOaa9jc3k6Dw8GQwYNJlyRWl64mxhhDraOWp3c+Tc51F/HdwlhO7NzBwNGj0aUEE3FdAr6lz2CQNhIZ66Gu3sLJ6GBODL+WYaTi9eWikL5CFES0OgNOR4C1rZn4499B5ddi9JqpscgeXze1tWFyf8Ljlib8qlhU/ho+SNiJlDcEk8eHS2vk1n6T+HPmDL4MPkx+3l4i585iyfElWKQ2QsNEHA1WFgWiaI6MopkJfOV9HntIM4884STvyAKK2uJ4xZDNt8IJbFEmShTvIyAHpCJQJCYSOW4N8VoPok9PwU+v4RAkhN1PUOUyA2Yy/34xypUPgRRgMGB8ZB0ep5PoIaPZsuZ+Stt3IwgwPXE6YWYzFZUfEfB5Ma9U0WDxElHdyLrbL2bCZyvICMnA7/GzrK6ZZL2WMpeXl0trGRFkZIe1HZ8kcfnRki7twwkDBjHukiuoKchj6Ozz0ah0+BqcqCL06PXxZGY+R0PDasTWi1n1TwFJaiY+MZvwaJHh6YORRAnjiGisP8pGqaFX9GO0w8/u5UUo9AakMxa5kQ/uAYUAmbPxTHwNoa0Czezu3JotX+dTcqSRgE8kZ0sVIeHBnWWe2Kzeu0glSSLg96M4pV8knf7vjwzLfxhEvx+VTg4GHPUtKABzbGSv44uLi1mx4idCgfO08Cz/ZML+j/m8Ib1PIa46j48lOaWIwHd1Vn4YmsbEkNOk1PaWZn78y7M0VpQx5uLLMIRM4diWKkS/RMHe+u4CSEDSoKHs+VFOQ0684joCPpGfvyuk3erFbvKATsngIeswGNrYf+BiBvT7KzGxl8Ccl2DDs3I5aN7f+vx+3jnyDtuqt2Hz2FhZsrJPiXh3gRX71ioAPCU2Yp8fL3t69ILNn7yPJIkU7NlBdd4Jbnv/i17Htq1dR9sq2Wej+v4HCJrXt7dSfsEzqFQW6up+wuWq6OL3EZORxfWvnMVn+O5a2YxR9MGY22Be9+6p7V99SltTI/a8k7x36zWdbdiDB72P1boLgyG5m3v0qpxaPt8tpz/2lOyj7OXz+zzuJ8c8ydtH3mZo5FCeGPNEl22jR49m2TLZHTzM3oTD2gg0Ik0yEDtlDG1rrNRskSewmL/8hUs/20+D3YPN5eNgWR0XJr6Cw1HI9UFLeKcpiCEta/m06BMIgolBtVjNHcGGxgC3bqclfxva5DEYQmJwHT6MvR2qXaHEpgcTnSoH3Dq1Ul4dngOqMD0xj41C8oo9ZsUEQaC8PJF16/KArYSHn+DpS6/i5dJaJgSb+Dg7ucv4gcHR/FVxPaViNEM5hEG7s8v21GGjWPLae3gcDqJSZU+YsKv649hfhypch36wHDgqdDqin34K61dfEzR7FlGPdiXFr/1+F3m7veiCrgYgSioku2YAFW/tIvGu8VgWLMA8fTplVR9SW/M+kt3LocNXoqhdicLpwuPys/LtY9z53nSKSkpo6ODdHD12jIsuvpjrBl7HszufRa1Q88ncT/A4nfz00tP4PR5y1/3MxY89S2qsAS0rQABViJaSUYt5cMYsWo1yAPfi0XDeKXPwnS+fFP9XjNfk80tgLAVHE1AHaxhrTKLZkYApoCbd6iQ5aANPuwK8G2bBrFFwS2QJu/ZtYalODtTPd6gxRmrwff4JqQD7NvH1l0v58dcfoR0wgN8xBlVAXqAJHYuBfQ2J3Gu7iG+MAiVpRkr8UyiJUjMdB67GfzHF7Gd7QjjRR69Fo5W1lRRqFyBi1eVidp12HfY12VGqdOCTv6+0EWMoa3Iw9dUdtLkvRK9ewMZHRxBrkgP+iRN24fe3Uz3zBSLWyQrZP05QEG0rJuqQlrYN5eyR4JrxIqGhGv6WmUCh043YcfeO0MjnpChJ3HmynOUNrYxIHcWPi65A0eKh9q/7kVx+FEY1sU+P5aB6Pi97RzBmbwvJkgcNAv3qdSS1BSEUNNKY4yboxn7sLq6hzW5nhiUBta8efF+QpEnEJA1D5XezfXgGdFAPrN9+S91z8nxsOeQj9sWupqA+TwC1VknAJ+Jo9bDw4VuJyeiH1mAgY8yEbtfUKQT8fkR/oLvR4b+pMnAm/ghYfi8ksbMtV+jISguq3/dDvmh7nyv5e59jNAoBrUKBq6MH36zqeiMv2LuLxkr5xrZ3+Xecf/8sRH/f0e/4y64mY8wE8p3FrG7dSeMxC83V8imgak+gOkZggsaBxiPg1UrYD/5TDliis7HH3kn75s2Yo3IxTZrY63vEmmKxeeSb4NmtfWdDFaoDpQAdfiDCOaTfo9MzObltEyALqPUF3YABCFotksfT57hTCAoaQlPTRvm4Y688x2hkz6CgGGitgIaTPQ6JSsug8qQcsA2dI4u7SZLEoUPHaGx0MWqUibNlU1LCTSgVAoFztHifwkBLDM/2G0tQ0GCM6q4Zp8zMTB599FEEQcBhbSFv41a0RwWCVquwucqwzJ2LacoUUChQaLUEXtmCWin/BjZ7Ka2t+wCJ0b5X2FyVxOKWruZuIVGn27P/ur2Rd7dogMO8HruZ9Hdf4pcZd+PRGAh3xhN7QwZfqT3E6tS8lBGPSXVu9VlBqUDQ984La2pqIkUVzdj2NJRVSuKcCi4aO6DHsTpdDIvGfERb21FCQ1/r0bIhJLpr9koZpCFoRnfuQsjllxNyeXfXZ783QMGOFtSBYPxKJ6qAAYdSLmUpqk6XsBRGI5bw4UjVcs+vWh1C/MAwcnfWApA1JppCh5sdogaDy4VTryfYasW2ciWz5s9nZuLMzrKyx+no2nYqShA1EGb/GQrXkSdcR+7uYByaIKIcXuqNGk4EKxlXto8hzR5uSDsIwGhlPuX5YRwMHcKJIYMI98jZzv2OBTwhzGZhazuXFctCaN7hXzJzwa+k/msgXl0UgkaPV1IjGAxIHR1rEWdlhH+JFonQqikN34ld3Ypf3Z/zwg9CdSWTm5II3SR3IrXrBMKnBmFsMGIxyCU1c9MQ2pr74wwpQPDPZdWgr6jQniCyXmBshYGs6+9Ad+WlsD1MNiGdKGezDpRbaXPLZRqXT4Gr/mswyfwqlcqMSmUm9fW3WbH1fX5t28Wl6bOYHjudLz77gGptCwP8cXyVP5jYh2VSbpRWza4x/Wny+hkWJF+4JS4PyxtaATjY5uTXhlbmVnmRXPL7ig75N36huAa9UsFGhYcL1BJGTyMq0YHbr0SvMuGtbufQoUPk5uchiiKffvopyfYGJEkiojWYeKMBjSKUrP0O6GgucuzegzIsjEBzM7YflnULWKZemcWhdeVo9SqGz0lCpVEyaPrsbuft2VCp1WSMHkfpkQOEaGZ0KQn9kWH5T4MkolDIk63OYMaDk7aWBsLSeiZlpaWlsXDhQup3f8/w2s8RgIppL5DTr7uWxJkIVav4dUQGG5vbmB5qJtvc9c6WPGQYOpMZt72N2KwBsg+GXoWzzUvm6J7LMIIgYIyL4v6llxEQA+yqX8nCkHtwtUVREVrF2n467i5TIIU4sVT7CQsZDoCvupqqO+8CSaL1+x9I/v479L0w628adBNpwWkgcc4uIXWkgah7h+OrdaDLCulRI+VMzLntXgZOmYEpNJzQ2L6DIV1WJmlrVuOrqkL/G5x9B2W/RWvrfvT6RPT63+BevPBD2PUmDL0aJj3Y45DJV15P6rCRaI0mIpNlX5u8vDxWrlwJyDoxZ1sUDE0IZtU9kyhpbGdqVu+ZOzgV/FyF21ODJPnJynye+PiuinSngmtTaBgZwSOwS5WAhH1LJZa5ySj0p0tf7y6OYM+JrwgKGsSMgUM4eEiHKLrQaqJ5q+5JVG6BJikDc2oF2nlLwHy6u+uXozWkhhspaXLwbLWBW8ea+XLU27jM86DOjLjqBNpQLTsGBrO1xc7RCb3rCv0W+L1exMLjZLck06KRsKCi+f1jVI6JYdzFPbvm6vUJv+23/S9CqVYQExdFbUUzClFDsxnGagXwg35w13JnWNhkxo5Zi9fXQrBlBIKg4Lq/jEcMSBCkZsTuE3icLr5ftwGVJKJ3uxFmyzebMzlwWoORS556kYI9O0gZMpzkoR3lqfF3wfi7CMprgV1HuHhbHgfS1cwrjea5+tvZ6ghHlFS4/Cr0Kvnm2qKMJKOwEJ/RgH/8PNpyQxCBAZZwrLUWtBoHeq8Ra9F0Wk7W4AhsIjp0Pv1mDWXIzAQCN/6MOzcXw9ixKE0mFi1aRGlpKU5THJ+uqyM3USCQOBeYy3nSCjQcxKg4gJLjKIWpBCQdJrdE4Ic95KpD2S5KGOJDeWyiSPKRh6jOXc52aT0VMxSgMPDJbCWNwVMZPflK0Opg5nNdvuPp6cFM0hzihDeFaRnbaWwqJy3tNCFcEkVsjQ0smHgjF6lkDldeXh6VUhMAx1WVzL7kotPjJYmYZi+xagUKi/wbJOm0DA8ycKhNDtSmhwWhD5JwpjbgrbJjni7fFyaGmPm5tpI7hr5L0qAKbLYQattbqK+YQoHo4qIlt1O482AXIblybSymqj1U6fUkB2WDBLqs02XOsFtuxltRgSo0lNhX/tHtfDQGa5l0WWa35xvtHkxaVTdj3jORPX02u177DKK70lakP4Tj/sMgns6wGExBeKin5Mh+Ukb1nOYWBIHBgwfD4MHgeRTUBq7/jd1EA016Bp7lC3EKobHx3PL2v/A4HJg6HEhThkT0OPYUNubWk1/filIMRmtvZvaBSPIjPmXD6AYALI3QlODBnJfELlsqSvNEFgOo1QgqFZJPXi0IvSjGgqzxMiPxtPGfKEksq7dS7/FxVWwYIequp5w60oA68rc5oCqUShKzz63J0bnvmBjUMb/NPFKh0BAa2nuatBuis89JPhYUChIGdu1AUPXQyXM2sqLNnW2wfUPC529DownH5ajH5arpc7R+YBiO3TWITj/GMV2DWkmSUOxezKLyOlrNSlqinmHC+G14vY0YDBnUbd0Pegl3+1jUiZeijUvu8vo7p6Xz55W5hBjUfDs/lQ/W6lEqE3EEXY52Xy1oJNw1TlQqgSvmZHBo9S+47G0Mmzu/x1ZRSZI4uquG2pwWMkZFkT7idPBW53Tz16+/I37fLrZGWFiusQA+rhIlYtf6egxYJEkiLy8Pu93O4MGD0em6Kzv7GpxYlxfhD7QhTLMRmTnzN3dwgXytz7mtP++88i+8QjsBhZ/4228nIiS8x1Kn0ZiGLhBPQ8MqtNpogoPlOaTR68MREAlotDx8zxP8rewEmdOnyNmws3F0KXGrHiZOAOauAeDY5kpKjjSSMTKKrcHb+XB2OiF2HWllGxhWu59N2qtIt6ykwWfku8rzSNLaidpfgM5lQx0fzyXvvkvzN6X4Yt24Wt1MbRNoXZxJ+fZawmMMTL1yEn7/Bdi+KiRQ5oTNFUjjYlDHxXXRAho0aBCDBg1CkiTUlmrKmmxk25YT3LiZ6CQL4fbhGDxfYjGaaBfNtPknkK1XERS8hEeMz9Bq8tLoqOV2x8N8+p2adr2H81skdB6Rj2Yrua7pSi7JnUD17r3Uz9WgCdYzaNAglEolkiSx6uWnGVpSyFD2Mm5aFqNG/tTlfPjx5ecoOyrL1t/4xkcER0UTFxeH2WzGbrejVCo5WnWSfqZ+REREYN9SSdtaOat9qnNNrRD4dXgG1R4fcVo1CkEANUTc0vW6/2e/BC4NrKVkUxP+EDMpsUUIUUDacj6vNPD5zm08d2ARLn0GywUTfkGFKElExMbz/PSXKNZsQRAVhJVcgOoXPcEL0tAPHEjct++Rk3MHlXWXkWF6gthYWenZ39JC5a234c7JIez224i8914A3thYyKvrZf+mj68byYz+PUtKxPcbiEJ5ykyo8wT/dwvd/hGw/F4IiKfJSB3B8MmdmxhzyeJzdgqhPbcp4e+BWqtDre1DUv8MbMlv4MbPTsmU389DM4/j2bYdvUeJIIHUcW42fT6YXVnDCAoN5aYFshCeOjKShI8/ovW77wmafz66zO5Re2/4tq6FB/IqAXixpLZP3s5/HESxs578W5GRkcGll15KY2Mjw35D5qcvSE4XqXvncKTkGIXWEI5JW7nmr4s6szlnQxNrIuaJMUgBEYX2rEs/4CPtZCVejYr4Wje23cvQXHUnGo18TocvGYhjfx2aeDPGEd0nuStGJ3LF6NNZxrvTPqF896s0CCJSsAZFq9xR9+bM/iTm7WHLlx8jiSJ7ln3TxWIBwBEIsHB/IUe9bmLD/Vz/0XEWh44kKiWII6W7cNz8JDOlRPLCNexRaQnyt9OmMvGVQuDjCz4AuvO3cnJy+LFDKGzVqlU9mm+2barAW9cKLgE+C2LL7AE9mmeWOD18VdtMtknfhdgLYAkO4vo7FlNQuIXoKD9hYQYUvZS/JL9I6Zdf4mtupyXldSKyJ5OZ+TQRGjUfDUzm1/Jmpo4ez+jrFyIIsr6L62gjUkDCMDRCzkju+CcYQsFaCu+Oo/X2WrYvlYmb1fmt+C9ZSX3Ig9SHqMhLvIDrpUXs3HEFR8VZhJn8+ApLEPOq8PgUaAnQ3NRA7sfvoJMMpLsGs7NdpF0Evinixn9Mou291ymbdQeNg0eQaL4YQaWEgMSHm99hmW8l2WHZ/G3y31Ar1UiSxDdVzRS3Orl9UCyLGuvhw45SeDU0xyxGL4FBaWNu8D842TaQIKW86AoJDManlsu/Fl8cdrOL2Aa5B7oxeCY3HbgQAYF8rYjVXMzJrVVIksSWLVu469rb8Ls8NJQVYwwOwdFqxV2T2UWHxeN0UHb0EFqDEY/TwbENq5l81RLMZjN33303NTU1fP7552zcuJGNGzdy31Vz0e28lxCNjzbv/Tj2QsjFGbT6/HxR00yYWsXiGPlasbc0kb9rO5HJaSRmD0b0BvBUtVH00X6aa01YUtoQzkoQ63wmmgITSGxTci+wNONZ6hhOY+NsVDoRUSlzcxr6f0Vcw5WyIa1aR13dctrsx5CkALl5j3cGLPZ163HlHEcSFDS/+x7S5Zezfv16vii0kBhqpKLFxe1fHaLgxZ65fWqdjtC4RPDyh1vzfzIESZSdNekQ+VGAUqVm48fvcMEDT/w/q8VyqpZ7CnfNfJQiyxTcG+qZ0WCnzFLIiK3HiBk8hksfebibw23jK6/iOnqUtl9/Jf7ttzDPmMFvgTMgohLgHPSa/yw4muHLi6H2KAy/Dha8/rsIaQMH9l0O/K1ofOttHN+uoTwlEkNAxKHTsOIff+bmtz7u9TWCStFj6U1QqhGjBqCrk/k4lnHPdNmuiTWhubDnUktPSLYk88PcNzjR7mJ/pp0Er8CouGCCdGoOFsqdbb2dEodsTo665LbUmjAVNqMCnUnF9wXfs/zr53i6SkRtVFKefAejvV7WaUwYVE4eHPE26Cp73KfT6ezu3XIWNAlmXEfkFuD28CO9jrvqWDE2f4AWX4BjdifPpne9+5jNbQQCz1FV7aeq+jmmTc1H0YM7t/NQA9q8DHQImBuHUxb1GJmZsq7GcIeCis8qafCJLI2v5PKnRmPfXEnbhnKQoHVFEXEvTIDshbD5z/IOL/0MnUmN1qDC45Sv9wSrhSdDnqZOEcsYdgEgivLvH3dsN1UaDUVRIQyqbCQoM4vClGjcJYXYGuopCT2CX7q683hr9ubj+Ug+t0I3reXAlChGhUwkEK7kndZ/EaYPY0PFBl7e9zJPj3ua93Nr+MvXRxH8Eh+acql4aCxYEsFWgSgpWJZzCdk6I15PDYdbnKjicgjWGxloEghEXYbTMgO3RqBRk8Ce6T+hK69nh6E/Y/RhKH12RE8Q+R4RIbIRnUqHy+WitbWVur/vBwkuGn4/2+t/IH30eKZe19XSQmc0MeL8Czm8ZiWG4FiSh52+cWs0Gsxmc5dzRdzwZ0R3MUaVD6PuLvz3yLYND+ZXsqnZjksU+aq2mZUjMvnhhadora9DDPiZevWNxBUk4G90MVN3Dcs0n2IrhT1bYrguZjOrPVqG6xWkNd+IXzw95z6xXMfR5IOUaFuwfKzCfqMPlKDyiYTULYY/l0H6LEIWPIUgqJGkAEbj6YWkO2UoOyf8Ba/aTKZtBwfWraOxsZGMQCt7rEkolEoevKJ3/RmAyJRUyJdJuPLZ+4eX0H8epNMZFskvISgVzLr1bn555S9s+eJjpl13c98vlySQpP/xwEYU/fh8zWg0kT3qvJw/KIaaVhclje0smSB3piREDqDR5iOYULJakoh69RHU0d1bhSVRxJ2fjzoxEV9FBfZ1639zwHJdbDjOgEi9x8dtid05GZIk4Xb40BnPrU8jSRK+igpUERE9mvydjXZ/gGKXhwFGPepzEHqbXE3sqN7B4IjBpFp6zlB0onCdHKwAHPoMLnijx2O1eWxYtJbOzyVJEi0tLZjNZjSa7tojp1DZVklpWyljYsag7aMkIWg0SH4/ic1tFHas9Bfc17eVg8NRgiAI3bqTEASUN2yE8l0QNQCCYgm0t+MpKEQ3cACKPsqApxCweZACkkym7kBPZU2ZgCzgsrcxfF53O4vhQQYGmfTktLtIQMntj4zCEmEgvzifmpQgTia0MqCymqnlL0P6iwxWlhI97GvQWXnz8E0Yk5sZm9q1FXrEiBE4HA7sdjsTJ/ZMGjdPiEMVp6Ky6jM8QcWMTvm1x3FnTtk9hT8uVyWS5O9hy2nk5ORQUlhAgqAlUpJLYuPGru/cXp1vlfksQHOV3A0jOnwIWiWSO4DUYbp5csTdPG+aj1mt5qWMZCI0alLvy2Z5eRMLksPpL6VT8fX7hPttBHwWjjdPYGDdSZJLyzA5HKQkg2mAh8QhrWhfOMLxV1+ift9uAISsAfQPi6H4UCMpQ8JJnpBGWUYGnkI5g/OPSQOIcxRzR1Yyw1zDONQgl1cWZsiE+BPlrZ0rFUW7XxaevHMPNOYjRA7E/MAqDrcvwNv+K+4QF6LRS9ro72nRuCg5oSFwPBWlRc3M9N08pv0XtQ99w9idLQg1No61qPEKbgLulXhOVOMPj2XseRcw1JFI4FgrkieAplnF4RsfZWBsWCfv8EyMXHAtuXvSEUWJX944yWVPGolIkEuxYWFhLFq0iIKCArKzs2nd1kCqahsAhW1hZHSc466AiF4p4BJlE1UAV7sdU2gYbY31WKtriGoM77zXxxoTWa6PxVIh4lh+hIk+BZdPbmb0wuHMCgik1vlQ+RyciNOi8mnJ9FkJlAZR9XMaapOTC7W7EejQdClaT5Dxa0aN3MSatT9w8kQAk/E42dnZlFQqUBgtZCtBqZ9MuMVBcXExSToVW8eNR1QoeLahkbgII/Mjg3s8Ry1R0ZDvx9PejrbDlPaPDMt/GBRIqE5lHwISqBRkjBrH4JlzObFlQ58BS31JEcv/9jwOawszb7qDIbPO63WsJEn8/PPP5OTkkJyczBVXXNGZ2Tkbfr+d/QcW4XQWo1aHMnHCThSKrjdEpULgtildjfpU4XoUJjViu8xNUQb3fFMSFApi/vwiLZ99jmnSJKIef6zX47bZDnHi5MOIoptBg97BEjSEe5J6rpMGAiIr/nmY2iIbKq2SJX+dgKYPN9Haxx7HtkIWtYr7/Cv2n9TRVN3O8DlJZIzs+h7NXj8z9udT55U/W8nkwRh6UFQF8It+rl51NdXtso7I+zPfZ3zc+F6Pg5RJYI4Few1EDZJTpmcEW76AjxvX3cjhhsNYtBbWX7IevUrPsmXLON4hOHbTTTcRH3+23irkt+Rzxcor8InycR+79livgVz4nXegCgsj0u9n1oUL0AaHnC5X9oDq6m/Jy5c1QGKiFzFgwFkt6hoDZMjGmYG2NkoWXIC/Xl5JZu7bizKod2sB1/Emmr/KBYle/ZpOQalSMeL8C3vdblQpWTcykzZ/AMsZnKcbs2+k1lHLt3c6KDw+hXZ7KPcGWnBbMyhb/yzfm72UKQNdhOlO4ZTq8bmgT44iM7lnif9T+HJwKl/VNDPQpGfRWSUhgPDwaSQl3kqbPYfEhBu6ZVdqamo6280Pa+GOOdcRPjyxy2+XNSaakiONWOucTLhEzmyZZyTKNwxRImim7CXwfFENBR6JmjYHv+w8wcmJ2SwprcQjSnxfVMEPsT7uc78l71SAz5tVZOY1ofEHcKs1LHjwY75xLCVjpvyZ593xAOsifuSooKUwLo154To+uea0j1jyD9/TlpvHJ1oLszatxuhysGVLGaOjR/PQoodIsiQRpJHPkyfHp7E/t5H6Rgc3TeuYezRGiBuOAEwKzaF0yzEkVx0Hs1PwaPVoNS5slSGUVSaAEhQ2H3OLDoDHRsR31xDwfAYEE2eAY+qvKCipQxHwE+JsZe7cufganbTU5uNq93J7hpLDdS18W9dC8aRBGLuV5s6ikJ51Lz7FwQFwRr/E+jclnLZWhlx/+vx4pV8C71U0EqZRcVuCXM666OGnObJuJSPOu4Bh8y6gbX05zkMN6NJ1jCvfSlVwJBN/OYZfDwofVG0Lw7tQx3cT5Tn7ya/quxzH6ulzsEZFEmJrpoosHgnbCM1FED8aFCoKC2s4niNnBn/44Qeys7NJGxFJYE8tiUpQCQLiLjNJ186isul5vvVPw4W8MA1W9z5fSKcyTGfMP/8u0dNT+CNg+Z0QEFGpTpeEhA5ikjk8olsZ5WzkbF6Pzy3XYTd89E6fAUtLSwuHD8vOu0VFRRw/fpwhQ3omnNrajuJ0yrV2n68Fj6cOvb53KWmfz4bX24zBkEL0gyPx1TnQxJsR1N1v6H7Rz4c5H1IeVM517z5HSljffhXlFR8SCLTj9TZx4MDCHjkAp9Ba56S2SG6B9nsCVOVaSR3WO3G4bf16NGlpeIuLOf7uCvK0Mglx3UcnSB/RNbOU53B1BisANR4v6Yae+T7egJd6Zz0h2hCsHisnW072HbBY4rHdtp06ayEZcWNkot0ZKGot4nCD/NvZPDYO1h9kQuwEcnNzCQsLo7m5mS1btnD11Vd323Vxa3FnsHIuKDQa6lJnsOP7QoSck1zy6AhCesiQnUKLdRdqdSg+Xwu1dcu6ByxnwFte3hmsAHhLS9H3cv4BuPOtnav/c/k1/RYIgtAlWAGIMcXw9oy3AZAulGix7qaxfg+iLZ0KRTRDShq5LyuS+YNje9rl/xjSDbpuZaCux64kPb33oOds4rVpSBQKbde5wxis5ZJHuxL5lUY1IWeV5bJMOrZY5Zbg2WodOwoaT5vVAYIpSs5suOXrzK2PoDAyQHVcFptHjMWvUvFN5l1MMsnXnVqno3LgKGwuD3j9VLu7Bn8KrZbgoUO4H/jqUBClVtl4MTwknEERXTsHoy069jwwtfNxnc3Nr8dqyI61MMKkw7zkemprrkKpVlEwZT85bgNpb+vJPulgBY/zxMQlqJVOhonbwQCemc/i/PQE0vEfQVAy6Km7iRrrRaFSMXiGbBiobt1F1IC95KQv4nDxabXbs69RAFOIjgV3D6E8p5nUYeFEJMrZla2VW3n7yNskByXz3PjnMKgNGCzBzHrq3W77aGzLI71lF2Pe2U5pXjERd95B7LXXEpt5WpjNMjsZy+xkAEoP/p32VT9Sk9pEeoG8QGq7fDGpZjuFNi+PHdzH0MgiXh82lYebviaLKj6IT2R14kh0TcO4ui6H3CF/pc3iotEsMEP0EBsbi0qlwn+G0m50igXdvCTa11fInx8Bs7kIVV0xz/IkB6XRLBnxLMMtvc8XbQ2NRBCGwdKxUJHEfzvl4Y+A5XdCIUkolfLXJgXkkhDIvet+jwdRDPSYfgTIGjuBk1s3Em/IImXUqE6V2p5gsViIiYmhtlbWZkhLS+txHECwZSQhwWOxtu4hPHxGp7NsT2hvz+fAwcsIBNrR6xIZP34z2pTeDb1Wl67mnSOyaNq5hOAAwsKm0ti4DoDEhL7NIEOiDSQNCqM8p5mQaAOJPbj2nomIu+6i6d130SQnk/HILRx7p5CAr2dOwmiLiUVRIWxuaeOa2HDS+lAVNqgNvDzpZX4s/JHR0aNZMnAJP//8M4cOHSI6OpobbrihSwmnsq2SxSsXY/faUQkqDl1zqMvvmB6SzvjY8eyq2UWqJZVR0aMQBIFp06axfft2wsPDWbhQTpt7vE2oVeZOJ9kZSTNYVLeI/JZ8bhp00zlXNAfXlmOwaLA1uPjh5QPc/FoPnSQdSE66FaezFI0mjIED/tnnfnUDBxJ8+WLat24j+OKL+wxWAEwTYvGUtyGqfOcMVgJigG1V29CpdIyNGdvrZxTFAA2lJVgio7qZyQmCQKhlDKFBoxFUKgYAc0fH09bUiMve1m08yFlLyes9Z3lLTntLCMJ/fXL2i37ave0E64K7bYuMjOSaa66hoqKC7OxsDL+hvNkbnkmLZUqImZIKGy8uPcY25OrDbTcNZVZYEBNCzHDHXkp3HKOyJZaZ43147rmKgTVNzN6/k4fe/ISXznJaf6N/In/P3Y7Cs47z7T/R1PwB4WFTAXirvJ7XyuuJ1Ki5K3McpdUQGRPMBRfPkTWJao9CymQkbRAHDx6kpaWFUaNGERwczBUf7qGixUlAlHgQHRH1v+IUgvCba9nhViNIXgbkBrCZgzA42pnUtg1JgJWtmZQsjELrex5DSRBGp4Ta56H9oQfZ+fbPXDcuGaVKzcG83Yz4VhYpGbTtb/xwewGH3RDuO8mfdj3BjMQZzErqqkqd0D+UhP5d552X9r6ERqlhddlqClsLWX7h8h6/++0bcti1MgePqZm62CjGevPwv/oSuiFzcedbMQyLRJchZ+By7E5uOl5GkwvuTRtEnT2RzCtHktmvH0qTkWdLC7l+7UFe9o5EHzuasZGFDG+UF3v3V35FSHk/HA1m/GSx5uAKRF8xKybW8HjQ4+y9ci970vbQ3tZOi7aFW9tvJSgQSn67H/WgCDIzLBiHR1Gc48DvUpGgryRDGdJnsALQUFxEBGEysRpAklD8N66J/wn8EbD8TnQtCYnQIRoXmZKG3+uhqaK81y6NhIGDufqSl3DuqocKaHz3KJF3DO1xrEql4qabbqKlpYXQ0NBey0EASqWO4cO/QpLEc06y1ta9BAIy49zlrjjHp4UQ3e9zJY6LXUxoyAQEQYlO13dLsUKpYP6dQwj4RJQ9ZHfORtgNSwi7YUnn4yufC8VW7yI2I7jbTU+tEHh7QA8WvL1gTvIc5iTLqzSbzcahQ4dAEqmrq2Pn9m1MmzGzc+yRxiPYvfKq1t8DV0GtUPP+rPfxBDxdOCgTJ05k4sSJSJJIcfHfqan9EY+vma+4nvzAHM4LDeep4fKq7rcic1QUB1aVATDrxr7JvGbzQMaM/uU37VdQKIjpoZOmN6ijjUQ/MOLcA4HXD7/OJ8c/AWBC7ATem/Vej+N+fe2vFO6ViaKLHv/TaY0RwHngAFV33kXAZiP6+T8RctllHFz5E1s+/wiA6UtuZdjc0/wY0eGgfMkNuI8dwzByJImffoLQQ4u501nKkSM34HJXkJb6MMnJ3T2WbDYbOTk5xMbGkpra/VpvcjVx+fJLqfc1kRWUwXcX/dBtok9LSyM+KZm1J+oJb2tifFrPthSBQACFQoEgCNQ76nlk2yPUOmp5auxTTI6fjFIQmB4WRPGJJlQKAX9HduUm/VaizfLnb3VZWPmLClGo4pioYZwhknqVkncGX0xwsR/7CC/Boae/iyS9lmv8rxHQOXC5Axw9emNnpvQfZXUk6DQUOj08ZrWTqYpnY2E7jn+t5o2W28Ar821OXLiRX3+VOUC7du3i7vQMmhqNROuVLPD9SqoywA/mgTxt3E2++3wu328noqGWXZN0DN9zjCpTOH4FKDuSRV63Dy0gjG1HvVw+1l9TJ/D2+gJeXV/AGw9M4N38UlYjV3aaQ9WY7av4pWUEx+wGjK0+VpY8cO5yL5Adns26cnnRdVX/q3odl7+hGbehGqUiQP+Jm/DOslMHGJbvRO0Ox3mogagHRqCONPBpdRNWvx+HoOSlmH7UXTkUm+0Q1dbviFTN5WAxCIEgQMJVI3I4sz8NqhACu0XayvW4xqehsdTitccQYZ5NkH8flvZGbEFeqhq30+AtZVzAjcEhcaLhMM5fYqgvs+N1+amobWN+WhBF605QVDgUv7eVgMfHhN7XNlTlHsdaUw1RyDYAyNWFPzIs/0EIBEQUgtSZ0pVJt/KPGZ2eidZoJHfHll4DFgDJHkBhViPafXgr7H2+n1KpJCKi5xJJT9mZ37IijIo8n/r6lbS355GW+sA5x0+Mm8j7M9+nrK2M81P7lok/Bb2+OzejL/yWYKUnBIXpCQrrWafmvwMVEkpHGwGjvEoX66q7bJ+eOJ2JcRPJacrh5kG9c5Z6I8wWVu3nvuUqbhvsoEQayDrbDNSHG/iYBjZtLWfzGWn0c2HMBalkT45Do1eh1vZdkgRo97ajEBQY1P/1Vf1/F2W2MiL1kTS4GthZs7PXceXHDhMal0BLdSV7V3zfJWBp/WFZJ+Wg7plnCbnsMgr37cIcHoG9qZFNn7zfJWBxHjqE+9gx+e8DB/A3NaGO7i6wWFe3ArdH9ggrLvl7t4BFkiQ+++wzbDYbgUCAOXPmMG7cuC5jft33HfU+WXwsv62QQMCPQtWdZP34jzn8eEg+ty4ZEc8/Lu2axdq9ezfr169HFEVuv/12ltUu43jTcbyilzs33tmZ7XTnF3CBpo3jg2OobKphdsxr5OeXUHDiBYa1/0xrVT1tYQfxqpwIopqo55/n9f111CssHC+zMelvmzn86GR2fVOKs83LhEvSSTLPwfTrc+jcAdwzH+NQhZUgnYr5EcH8UC+b7t2g/QZzXDFL7QsZHK2FutNS+YLf1eWzfPfJr7SPuILLfKt5SP09T/uup9RgZnfbHfhFDcFSJFJEOVsWNfLW+YuZW/A3jlJPUr2BykgXg2Pl9yyJDqV+xjBOGi3sTCxH6/8JT8M8DjfkkNcmcYv3HlpVZkobo0ncVUtOvA8UWhyh12BoX4dFK2eTRZeL5k8+QfJ4CVtyPcrg4M5jfXnyy1xafylxxjgSgk4LDUqSxPalheTtriUmPZisYbFY90YTiDyKXn96LneFFqGukQPQU2X2OeGWTiPF62LDOjLdiwGRwsIXmdl/D5/uUmF1+vDHGqjThnB95Eu8UvwCAP3yllIyeCZxxi1kKyajU85kcXsywUFfUZl3B39JgJGHW7HY/fD5FawI3oLQQZA1VVaR/+UGIqLKCLIPZnfhLtJGdfUwOxubP/uQiCg589apQC5JKHupHvxf4Y+A5XfA3SGcpu5oC5U5LPLfao2WlKEjKT64jylX39DrPizzUrCtLUNQKbDMS/5d72/z2NhYvoGs9zehWLkJbb9+JH/zdRe10nNBowlj5Iilv+t9x8eNP+eq5P9PMARZGBYfTe7+PWgUCsY9cH+X7Ua1kXdndq9n/1Ysz1FT1JLKvsIJDM06hNbqQOywKChtcMjdUDUOFAYVqpBz6+wYeyFLn42VJSt5asdT+CU/z4x7hksze3ZU/t/GAyMe4NWDrzJCNYJHRvXO9ZhyzY3sXf4diYOGcuFDT3bZFjR/Pm1rZYfjiPvl32fUBZew/oM30ZuDWPTkC13G64cORZuZiaegAE1aGqqw7oaKAOERM6mo/IRAwEtUVPcOJgC3243RaKStrY22trYu2042n+T9is87HyfVGlAKPU/ylS1O4kP0VFldrD1R12PAEhISQnNzM1988QWTr5rMh8c+BCAjRJb8b1uzhur75M9/T0oK2g+voqCwnCIpnbCaKbTn19IoWPFqZCVWSeFDSBAIyXHTaJM7P1RBh5n882PcnPd3lF4Ny/9xiDsXNSJ51AgBP6a1f2GhexAGlZOnJm9mQVQwwZIDB1uQ9O0MjTjBNXyPK+FKxtuOMGzKncSFZJOT3Ya3zcbJmGSGV5gw+7341CoUiFhwUEkktYIPgyRzRwR1DQv4lXnNBzAKxayKCKY6Uuah5H6TghjQ0R6WjBgaREH8DrQqL36VHUPYMb4/6MQEDDVEcIdfthu4Me9BtPEe3BiwuOpYOn8pA8Jk64am996n6dNPETwemt9/nxNbdnJJtFwaUivUjI0Zi6+hgYr7bsBX30D0k08g9htOzhbZ+6ziRDPJgzK55fFLcfnmUl2ppqlxJc6aKAaMno/RZUQ/MLzz+p0dbuG1kAh2FzWxKNmIz1fDmT1mWVE6PluUwIaNG2kXaxl++Aj63XmURWpIboDohv083f8QNpPAtbbhFIYEkVCcwnhzObQqIFikMkaPxS4HTsNnWjj6cRMF4Uc5FlaMMEjOGJEIupZXqa8M7vGcPIXG8lJGzDsPTtIlw6LopXHh/wp/BCy/Ay6PHLB0kuYCkuyFA4iBAOXHDtOvrzwbsn9O2BW9O2X2hdvW3MKwH3Lov19CUgh48vKwLl1K2PXX/5f29wd6hiAIzL/3EeZ43Kg02v9xZvzoYB/vSSomll9EasXFXGHMZ7UyCkmUePO6CdhWl9G+TZ4YLfOSMU/5r8nJ15cUUXbsMGkjRhOekMQvJb8Qoguh0dXI87uf/7cFLMmWZN6Y3r0V/GwMnjGXwTPm9rjNNHECmbt2ysrTRrkWnzZiNGm9GGIqzWZSflqOaLejtPTO2QoyZzNp4h4CAVenaN6ZEASBK6+8kgMHDhAbG8uoUaO6bF9Xtg6fcLpM+NnVP/TaufXCRdm8uq6AyZkRPHFedzL7sGHD2Lp1KwCXXHIJyTHJrF60GpvHRmaIrLnhOpbT6eHjLS0lJfYStrR6eaZxGLNUXsZIHiIlCzGBEGqVVtIo463l35OeV87dbg1Wg44Vc+QW/TZlCyFEozerIX0Wwh45KD+oHU2cTs/o8F8x+XcQqBHJrU0lIVnOqPh9sfz9pBtl4BqUrVdw4hsX3tyHGRWj418XXoZDZ0CRYuBC507KUx08WXcTizSb8EQ7cIgaUh1Kqg6rEO3FZB8fRrSygJT2NjSSnzqVitLsyUiBCLT+BtoFAWVAxOQ30qKTCb/t+hFIhmHoG9/gPOkE5WIkSYoG3lK/Se7Rz7gtLAmn1MjiX+HINUdQKpQIKhViIMCpX+au3IrOgOUUWr//Huf+A0g+HxU33EjWiRNEJplpKJeDgpQhEZhCtFjQc+D7UCpyBuGyt1Gy8eFuYojFje089M0RAJbtr2LTg1PIzHiaVtsh4uKuQKUys2n9WtRKJaJVxZGWRNpNkZT0K8duaaA2FAId95rXsyT8Gg3Ea8g4Oglz5gHam0LZUTgJkbWEYeWHlx4kK/FC2lTtmMWuQUZ5SCGhcwB6vleJgQCSKKJUyeampzIswv+CHMfvxR8By++AxytPRGpVd9JtU2U5LnsbmWP7lnevdnux+vwMNOnPfSP0ucDVKpvsAfF7y1iwv8MosKNWbTn/jDJNczFIIoRnnPOzSKKErcmFOUyH8lxRs98LpdsgJOk37Xt3azstPj+zwyzn1D+psjrZnN/ImJRQMqP6lqOXJIma2u9oaztKXOzlBAX1LXxUuL+e2hIb/cfFdHYAnA2/30FV1ecIgoL4+Os61TDbt26l5bPP0A0cSMR999HuLKC5eTNhYVMwmwd2Hs/Gio20uFuYnzq/1zKL32rFW1aGPjsbQa1mWqqRTZqHkHyPYZfMaKRGLlQ0ghYiGISnxIUyVEegxY1tdVmXgKXJ1cSmik0MDBvIwPCBiB4Ptp9/RqE3EHTePGqL2zi2uZIIYwUn977LbmkU520TGJZQxxXDpvCk5wgAb05/s8/vDkni0I+v4q7NJXzanWQO7FuVV5Ikvq+3UuP2cnVsOOGa//2p5fdkFkHm5fQVrJyCUqlHqex93/Hx8T22pAPMS5nHiuIVeFwebh18K2HxvQeb/aKD+KAP5+pp06YxZswYNBpN5yIp2hhNtPF0KSv02mvwFBQg2u1EPfkECoUWl2U+/YrLefiEm5txME9woMVLdEwBAYudEnt/Ll22BX2Hbkjz7AhGjbyei2ZdiNvhJSYtWF5VP5ALXge0mQn75SQGZRLLSgZxX8sXnCduo7XKxFdBs7EEtaHwbGBEjhr/kW8g4CM/sx8Wp46PP/yEjUMWMd0XSpT7W/7U9AiT12yhYU4EsQkNbAvMYJ7rXWJVKtp2hdH0Yy41UfP4dvL1DG7XsysijlUqHVvDGzCq9ThEJ0crPsFvhJqoJbSrI7EHZRMlljBc0qKTdETSQEASWGabQItYiiu0kVOzUEAKoERJ2K23UKLW8n15Lcsmz+Lm+O4cIsOwYTR1tPaq4+NRKBUsemQE1nonwZEGlGcIMCZmDyF/l6zTMmByd6VltULRxdRUrVSQkHA9CQnXn95HYiI7cndQpmvlqHk6AWMIibYKbhO3MtVxku0GC7W1Wfwt/jQ3L3DMz37rxZ2tx19oLqYgKpFY52HCCn5mjNNFU3gYJ1RTMQc1U9uQxOrMz5gt9m6CGOioJHQ2j3TO4RLKPwKW/xx4OktCpwKW023NjeWlAJ3W9D1hp9XO4qPF+CVI02vZObaPFuGWUvh4FjgaIWYo3LqVK8bdCj+ednnud+L46VbqI9/ATx319oEXw6Wf9rprSZT46Z+HqSlsBeDal8ZjDu2j9LDsRsj9Wf573t9gzK29Dv2p3sptJ8s7H/clxe/2Bbjo7V2duhnf3jK2m+AXyCRHp9OJVltGXt4TANTULGXqlJO9er3UldpY9/EJAHI2V3Hza5NRa5XdgkSZ/Po9ouimqPhvneTC6oceRhUejmPXbjzWaopmrkMUXRSXvMKokcsJChrMT0U/8cwuWRH2hT0v9NhB5aupoeTihYg2ua20X84xhOhsUq5+A3/+QeyuAQywuslvKCUjI4OMjAx8yjZafylGkxRE2FWns3GSJLFkzRLK2soAeGniS4z84iCt3/8AgQBNH31EviIbr5TPX8floYqZxEX2Sv4SSOO1X14m8v08PgSSf/2Zdc0GJn+zmWiLjg+vGYnFoO5y3AVbvmJ4zvPyg++/x53Zgq4PzYbv663ckyuTuF8urfv/lwXD70BWaBYbLtmAKImolepzv+AcUOp03HSijM0tdi6PDuUvmfGdLbqSJPHUjgZ+jLqY0WND+WSAbCh5RVQIYUcKiaCBD9VvUR64koOReQzM2AvALZEn0ftOc2quttZg8G1FcWQa0p5aGmOMhN+YDbpQNn/fQGVuJU9OjuVWxTR0FRUMEzvUkAMOImpSqKhI43DEXixV60nSBaN0tJJd1Yh25p9QKzTc5AOvaILcEBadXEVFymL85Yc5OjiUTaYZ5AcGM7e8lgHuFlLb12Kq+4RUwxLa47J47riXi4+egB1LceosaIZfhzctCMnXj+nFIr+mNzHEt5Pl025AfVCi5JWnsPrkhUPTIB8eVRzJxkZu0TYxSVShPvQljLoBhUbDmNtupp/Pz+MShPUQYBvHjydt7RoCViu6bPm7VSgVhMXKpbQyWxnP7HoGt9/Ns+Oe5aLRU3Ds20d8cHfdqcQwA1/eOIa6fcs4r+4dtD9Fw+IvwXg6UBo1cxQvtr+IT/JhYD/2/KfJTC5nnGULYXVuFjskGiNHEP3P58lJ78/Q3MMcGphCthhPCXaOixquMKzl+pbveX3YVWSv24heqyG5rAxBPZam2+9Fpy/k70GTmTXpol7POUmSgzThVMVKceo/qdNH79+FPwKW3wH3WRmWU8JxIKfRAFSa3vkEe20OFB2Sh8Wu7uJWXVCyWQ5WAGqPADB8wQ20h2bhLSvDcv75XXVfSreBPgRcVjixvM+AxWn3UlPYilKlIOAXKdhXx4i5yb0fS+1RCMuA5kI48EmfAUuJy4NOIeA+QwuiN3j8Iq1OL3q1EpcvQHmzo1vAUl5ezmeffYYoisTEuEk/I8HTV4ZKcVZmp31XLc5NFQgqBVF3D0XVQdaV6LmzSpOUhLtD5E03ehiSdDrF6/fLKeEWdwsahQav6O31ONx5+Z3BCoDodqNUqyFzDqrMOYQAlzGmc7vP5+NwUx7CeIERI4bIY0+9VhJpdDUSa4ylxlFDfks+w1qsKIODCTQ3483Lw5pkpS7YxJiDiQihI6gxSczVFmKqycNvDELlaMP6r0952TwdvUbJvtIWFry1g22PTOty3CrNb/OoOgWPKNJBwzknGp2N3LXpLvJa8rh3+L3ckN0z56vQ4eaRgkoUCPwtK560XnR0Kioq2LFjB2FhYcyYMaN3g8nyXXD8R0ifAVk9e6gArGiw8kV1M+OCTTyQHNXtPKu0V/J17tckmBO4vN/l3TqABATyTubh8/kYNGgQanXPgYuzqY28nw4QPTSR2JE9L3T2tDpY0yTzZD6raebOxEgSO1r0K1qcLD0gWxHsLGpm1c5yFoyIQ3QHaG0vo2TiS/h1TpL2H+ekv2v2L2yAHXuljpbxatxDJNzWHURsq0LQKvGWt2HfVEl7ioW8PTIBec/KMlpSRFStOrYrspmkPE6DL53GtonogfHlF7E7u4DkjfJipSgti6FniFdqFEr8kdchVf9Ku+cn8EDcj02YF7ZjaQ4lqk1Lc0Qy9SYPAecucG0jKm0tNVolI7dkExC8BOqPU3PoHxRNmwqA2dVOti+HgtoCHtx6nKucQwg7Q8JI4w8QUKi4rkDDgsQOddiV98OAC8ltUyMIcpYLwC9KHLM7SdRrCdeoCAScOBxFmGKzUMXFcdTuIlarJlKrpsrqxOEJ8G3pZxS1FmH32rl85eV896EfNVB/9Di6/gMwDO+alRyXFgarP5RpBBW74bVB8KQsW1HT6uKGT3OxNj6GNmoFassxzo98lYsGN3HYFY2q1IrO7yVc+gRFymAifK2cGDuGJqOZwa2Z7HV5GCgUM1+1G5Xg4/2859mjH4LeJpfNoiaPJao6nuSjKpCgqTSHqDuH9njOqXV61FodHocTncLUef4LktRnt+r/Bf4IWH4HvB0ZFo36lDT/6QyLtkNLwWlrxRjccyvwVTFh7LC2U+X28ueM3rVSAOg3Xw4O6o7BuLs6nzZNmAATeig7jb8bGk6AMQIu7ttF2GjRMmhqPCe2VxOVEsSQ6efgSJz/Kmx9GQZfDvNf7XPojXHhVLi8NPv8PJ7ad1uzRa/mzSuG8ePhaqZkRrB4VHexu4qK063XtbU6LrnkU9rsx4iOuqCbmu+ZiEwK4vw7BlNXYiNzTDTuj3JQhWjxN7po+uwE0Q/Iqfj0tIfRaCIQBAWJCadbphM/+RftW7aizcpEl5nJoKZYGhvWEBExq9PV+cr+V2Lz2mhxtXDr4J6DOOPECQTNn4/z0EHCltyA0tx32Wvjxo3s37+fQCDA+vXrefrppzu3KRVKXp36Kt/lf8fifotZMnAJ/oR6mt5+B4VBjyopifqfvsLg8WEPDsYZUYnaF4wkaDnZvz9Z+flokpKIumQU9x7cz7PFWYCGh+d0101JHb+IE+027FUniZt+Cwl9ZFcArogOo90vUuPxcnN8367hq0tXk9eShyiJ/PPgP3sNWP5ZXk++w02LL8CEvXm9Zm2WL1+OQqGgoKCA6upqbrihh/252+CLheB3wf4P4bLPYUB3tV13xX5271hDY8xU/t5qxi9JPHrWefzw1oepddTS4m5hd81u3pzRtby2Z88e1q2TSY4///xzj0aLkiTxw+NrsSvD4EAF4w+XMezmmd3GDTLridOqqe7gz0VpTwc/scF6hsRbOFpl4yLUjFxdRe3qKoLmJhM/di9uvZcTPiVPJm9E6VWTUptIuL6WvU4lH4+wkTnYTsHAdIINifTv9xd8RSo8JXJwbRwZhUarxBCkwdnmRSVCqkZDpcrPNZ7HGSXkcKN/KT6FG7UoB5K7+guUZCSSb6xBVOzn+uLzGSCGUssetF4t6uDhVHoPo/U58KglgpxOtu68iqXqG4GpmOIOERa1gSTrfBTN/ViVu5WvZ0/hgst/5LLtTeT2u47WpEEYtXk4PHYkJIrcRSDI6tJ3NL/FNaMEJjWGEaYKJtHjxme1k9XeBBkW8Mif7YsjrTz9Sx4gW5a8fdVwbjpR2hkYfjEwBkPRZbjdMo9sedRafmiQ+Tr36IP4aEUuogSpUSOwh/4AwLiIUSiDcwm0tgKgju9lfk+ZIp9/AHNe6nz6uwOVlDf6kQJG3DVXMq8+iejYdj5rS+fGoz9Q0ixxoCWeYNwkjnOT2xoOCMQ52/nUGCC9RYmSLD5wfsMd0ZcgCBAz8j4C1QeJjvoAY/kjNCl2oDDKyua+yt47VAVBQGs0EvB4u5i7CvwRsPxHweOTsyhq9WkOi0Ij/6AxGXLqvir3BFnjevYqidKq+XHYbzSQM0XCbdu7yb73iqgBcOu237ZvYPLlmUy+/De6LmfM7JRsPxcsahWv9e9dZfdszBsUw7xBvQc2Q4cOpaSkBKvVyty5cwkL60dY2KTftO/kweEkD5ZTrq3DImnfIbeQhlx8Ok2jUplJTbm722sDaj0tbWlovm9BG3+C0EsnEzGgq7S7XqXngRF9t4YrNBri/vH3PsecCb/fj1KpJBAIEOjI2p2J8bHjGR97umNLHR1NzAty6UYSRUaUFHDkxAECQQaCrUNQ++QVZF4/A/2ef4G0wDH46TouBy7XQeODDUSYe8gKCgID5/Qt/HcmVAqB23vwiuoJ42LHYTxqxO6zMzCsd+2Y4UEGfuxooZ0V1rstQEhICCUlJUAfAouCAs6UyO+hlOir3IH2kwW8LIlQ8A/iJm9kdA/iWmqFGm9Azqr1xFtyOByo1Wp8vt4ViyVJwiUZMPhacKpDqT5aRU8soRBJ5Meda6hobGLY4kvRnnEDUSsVLLt9PJVWF8afSgg0OAm0eWlbU0a/ey6kKH8N65pVqAUNTUo/Lf4mFO16RMnPhqAkQl0wpxYU/W6G4OFIFxUgbX4XISoFIWQsKqWakVeGsHvLIWJSQ/hkzCT+9u0mTKbVzE05BNiJa9pI45bzCQY+rXwchSDQLriYbz7AP0Ut55vWYRjsAXcy4TuhPHUqCRWb8StdzEku5pVIM7ktbnQRpdw6/l0EARp4h5yD83E4Qrhwx34+mHQn191yA+YyH/UeEX35EOaE2khQLGW+PZ20K17itt1PE29J5POZlaxRa/lH1RVELv0XZkcLvsvu5XtnMiHKCkbefBn7t5UTatTQ4vCyMqeWt4Ht1nYyDFoKnR7eqajjro5gBWCb1U66QUeR08PXx2vQquSMcEm9wKYlK/CJPrJCs/gl9lu2FazlgiGX0z+y52uhZPztrJCaUJqiuWnIYgzyycCEui94JzAc0BCHmySzi92KMbxx4hn8SoG4qEZCNG7W12Uw+NsWhPMkQkPLSUk8TvWOJHxSIgggoeRH8ySE5EbE+l1kWSpRKQNYBQVBsyJoXONGZTAQedGAXs9NkCsGCoXydEszcknoDw7LfxBOZVi0pyTDAyJ0qN6aw8KJSs0gZ9PaXgOW/xL+zd4N/26YzWauu+66//Z+guenYp4ch0Kv7mZB4K2spH3TJvQjR6IfOBCf18PnD7+CxWElI3g0fnskf/9bLSfGRZKcYOGxmDbcLWsJDRlPaOj/bLv3jBkz0OtlQvb48b9v34JCwZSnnmOS6KOqeg2/vGQAlQ/8akbFTWHgoIGwbTWodOCX20V7DFb+G2i3tiD6/QRF9B68ZIRksP7S9dg8NmJNvcvo3xQfwYggIwIwNKh33ZjFixeTl5dHaGgoCQm9ZAu1JliyEk6ugNRpsh/UGXA4Sijev4TB0ulW0+2j+5Nq6h6wvDL1FZYVLCPeHM/81Pndtk+aNIlAIIDX62XKlJ47MRQKBVMmKTm21U6SuZ2pL17Z4zjbylU4P/6IcKDy55/on5fbZbtKqSAl3Ih7Sjw1X+fiQuRhXJx8I8C0jNc4b+gJ3j3+Wed4UfIzIXYCtw+eiLDiTnAic9QGXYLw060I9jrI/RqK1iHesIqVa1ZgMgVx8FAxDfk5pB/cQf/LiwF5LpyakUD5vq/QMgyFkA0oMUl6RobtoKk9iuh4Df1PNJAs7Ob2iYNoyElCSLgWgPywz5hbEUNabgn/GtIPv6RELchBuueMzpYHSz9F47iSgXqRSJXALgcka5djEncyqrkd3trAk3du463DbzE8cjgjD17MrhIbjHqCsdNDKa8I4Gxx09CYSf4LR7jzuVFUWp0khBr4+yUycf/59DjeKK9nZlgQ7w9IpKLocpqaNhAddSHPmZP4W1kdE4NNPH9BGk/9cIzGdg8vLxxMarC8ICppLeGJo7Jr9po9B1gRndGjieqL+/5MlbuG2uaDfFOzld1X7gZ7HaOK3mCHLoxPkvsxMjEfgKSGMhrsZupppE2h5kj0UBoUiWzRlBJaM4XoEX/iffFmJjXuITFMg0EDA6UoCrMa2OkcwJbKAazXfcT1MZEc12qZ+PaVpBfJ19E45ZWMv7Tncw5A9Ptli4eOgEUUZQ2yPzIs/0HwdLDqtRo5LSt3CZ0OKIKjommsKPt3HNof+A1QBnW/OYteL2VXXEmgSRb6SvjgffLtVmwNe7AhUuHIpTryXpZLXqTNlRwa5eKXeol/Se9SXv4uGf1f4/X8LVS3V3P3sLuZENd3l9i5oNfru5n0OQMitR4vqfrf1mKtUKhJTFjA9GtqOLqpiphUC5MWZ0DNEZnrZEmAyH4w49k+9yNJEh5PHVptJEIvWiJnovjgPlb840UkUSRr/GTm39u7xopRbcSoPh0M+P1+Vq1aRXtJM2OU/QhLjsQyN4VhfQQqp6DVanv12eqCmCHyvx5gaztEoyVAcbIBs91P5Pk/9BisAEQaIrl96O29vo1Op2Pu3J7bsc9Ev+vm0u8csbg69rf5IukyQng+UcWhcjuZbngBPTmFAW6/4UEuyLycK1ZeQagulBJbCaIkIsQO6xK4yjuxQINMqK12O8jfOoRRo70cz5kOxJGakcmhA7sp+CkZR5yJy+96gYiCX6gN7KayPRfBNJPwyBlI7he5MKmciroWTHsmUw9o1KCK0yJ4HZ1vd1nDPEIKjnIy8jpubFTR9nU6yjmtBBtdpPjqqRMCTJAOMqLqONWBxUhARP8Qbjw/Femn1SjqO4TqDOEMiRjCh7PlUsvnq3YREm3AWuekrCxA0qAw9q6QM3DjLk4jK9rM8ju6XqdXxYZxVexp/lz/fn8G5AAkA1h4Rsvzj3d0v8Z1Kh0qhQq/KN8jdMqe+VbRhmj21+0HOD1XmKIgZQqGQh1T9H487hACfivh1Se4zzKCBp0cxEV5zEz0GAk45iGg5KB/IhOlTURMchGe9AyCAGVA2P47mBZ1kJnxb3C0OYygwijC450ENSnQhVhwW23s/uHrPgOWhIGDaSwtJdQiB2T+gBzIn7Oj9H8ZfwQsvwO+UwGL+oyApYN063W7KNy3i0lXXv/vOrz/NQREiQNlLURbdCSF9e0/AbIbrc1mIyMjo0cCpLfSjrvIir5/GOo+zPr+LyB5fYg2GwqDAdHpxFdTiykpljNFndJ8ShJFgXKlhODwMzV4GwobGHcoKTj6LRtCcxCRuG3Dbef0Wvq9qPP4mHMgn3qvH71CQeGkQagUQp8+VKfQf3ws/cefccNb8xi0VcueLy3FcpdCL5AkkcNHrsVq3Q3AxAl70Gr75qaUHj6AWqvF63KRv2tbnwHL2cgvKORf++ow++PQYWN0tR93cSvR9/02uf//LiIj5tAQtpJqzXFSUu6G+L71lPpCdauL1zcUYNSqeGBWJmbdf71byDhmNMnffoOnrAzzzFm9jhPdbm4r38KWQ+Us7H8Z7QJMQ41tbRnxc1N4ccKLfHz8Yy7LvIxHRz8KSg3ccxh/UzGqpA6l3kv+hWffJ7yzsZgN9jTGVRxgXMI+sgdtYnjyMgqOB6ELDUGSJL7zevjXh+u5ItFPSE0qkbok9O5QouekcPmK64ls+Ih+bj0KjRWDN4RKH/y1xM9TITrq2uw8r/iQC5Q7kIYoiHZM5avMSJ7JeIk4sZIX/U+SNmAH8447EKqV5BZFw407camLsIZtxOu6h5Rb/sKJjf1xe7wMmnMDGoCdb8C+D7kkfQjrW+8lLiuO1KHh5GypZuDkWIbPTiYo/PeRyQOBAAcPHsTlcjFq1KhefZ9iTbE8N+45tlRt4foB1/eaOXxqzGP0N2oJN8QwN6tDJVuhgGtX4F92jPCSEzQmfoXuLQ3aplbe4gjPXB9GpnYYNzZcjEJS0Jj7Bg3GVaRq1uJRK3EEGXmfuzDTxiKWYg2yc8hXxXbBxz07tdxd30BORDQ7Zoej2iMS5nIxNqJvDuWI+Rdz7NXliEEdGa+Oe5/qj4DlPwfeDg7LKdItfrFTOK6uqAAxECBlaO8TbECS+KKmmXqPjxviw4nQ9D2R5VTZWH28lkkZETLDvA84fA6+OPkFCkHB1f2vPqf0+roTdZQ0OVg0PP6cZYHHlh3j+4NyTffZBQNYMiGl17FFRUV8+eXpG+HZhMOAzUPDe0chING2tpyoB0egjjDgdvjYt7qYNmcTE+YPJiS0O2fBb3VjXV6E5AsQcmF638GOJMG6pyBvJQxeDNMe73GY0mQk/q03af3pJ4zjxxNy6aWUNxxh90AbE4vnodINB6DZ3IoirJQXagczoSaCtrU6DK0BzK5D3J+l4JWFvV/Ia47X8s2+SsalhXHr5NQ+Aw2Xq4LCwpdAUJKZ8RQH7XrqO7rTXKKIO+Dn6a2PsKFiAyOjRvLB7A9QK9SIDgdN73+A6HQSdsvNqHuqoUdkyd0JAMOv7f27A2yuOl6wjqVIuIYLpOWk168gKfGmXsf7vQFczixEcT9qnYL59z7U5/5dOTk4Dx7EPHMWmvg4jrYoOOKXJ9HtBNgBbNMc4EJPNkVFRURGRvZqUwFgsx1GFD0EB4/p8v36Gpx4y9vQZYWiDNKAvR5EP1i6TtgqlZmhQ2V/I0mSaK6qwBQahtbQ/RyTJIk8h5swtYpIbfdr+PlfTnCwvJWmdg+f7Cyj7OXeLS0CgcA50+xSagpHjh3A9vWXrFYOJMhi5snzB2DRn37v5o8/xvDzT1zgtKFLnI7BJP/+mij5+KckTGFKwukgzO/z8eM/36TyZA5Rqelc8cLfUehCOCQtYGt7CeFtAt9Z+5MQXMngYhUh26ZwpPEHQqJMWOtcXOgPsDzpQ0olPZn9jUzyzkclmnB/V85URTtCSyr9h/yM7eSF1AaqCPWF0G6XmOHeREZyAefZ83H5FaidkehVYRwMVjDjhAubJoLbUj4izZrL1Qd/ZHhxMVp/gJqY91EodCBCadkb7Gu6mMc2dbQP71xP2fNTYf0zYAjDUPELF46OhfP+xqeP7UStVVJ6tAlXm495t3V1lAZoKG/DWusgeUgEWn3XW+K+fftYt24dkiSxefPmHgnUICscP7PrGURJZEP5Bo5ee7RHo8DSoueJbV0OrXAikEv2wA4TUkHAPKc/Te/upGrDpTRkyzzAsXueJa0qwGLLedgFH2GSgYSJcfRXfoLnqJLjg4N5U/cA1VICrYoQdvpmMEZ9BFNLJnNrypgReQJ9lg9VVTjW4pvxRwiYrflIe9+gyevvVS8pJiOTkyoNgYA89/j88r3vlPHvvwv/rXd/+eWXefzxx7n33nt57bXXAPjggw/4+uuvOXToEHa7HavVSvAZPg294e233+bvf/87dXV1DBkyhDfffJPRo0f/dw7vfxy+Dvtu3ZkZlo6I09ZYD0BIbO+R61c1zTxRUIWI3AHRl1ZFu8fP5R/sxuEN8M6WYv51/Uim9+ve338K/zz4T34u/hmX38Wbh9/sc6W/Oa+BW76Q5atfXp3X54QKcKjCSkq4kdImB29vLuozYGlqakIQhA7H2+6Q/GKX3tfmbYdxDttP2WEVu4468SudHHhjA7feeisxMV3JuPatVXgr2pDcAepfO0T8y32QbxtOwu635L+3vgyJYyCtu6BTTe0P1Af9QviDMwiJl5VfC1sLqYpqx5u7B9GbjyS24J97H07LACpWf0aFwcLsNjV+P2gQGRcyjI9m382IqO7Bqssb4J5vjhCkV7G1oJGAKHHntN6J18Ulr9JqO4TP10xj4xqmTi5gSoiZXa3t3BAfTmVbERsqNgBwoP4Au2t2Mzl+Mk0ffUTL558jud1Yv/yyG9cBgPP+ARlzZO2HhL6vrR3tenYLMhfrY+E2norpWzCw+HAjFScFVIZrAEgZ1rsgmresjLIrrgS/n4aX/0rG7l2kxIQDRZ1jHk56leOGIuxfqqislFt3L7roIoYOHdptf9XV35KXL0v3G42ZjB2zGgB/q5v6Nw7LCwsg5vIWlCuWgBSAYdfAhW/1eHxr33udE1vk7/hs00WA54treLdSlhz4R1YCV8d2XUyEmbRYnTIpd0hCcI/vEQgEWLp0KQUFBURGRnLzzTf33P7cXMy2F++iqEHA41eQwS+8mXI73x2o6nLd7quJp2z0iwBM2P930v/5MZoEM/Vtpax84XVCYmIZfvliVleuJdIQSX9XHJUn5TmivqSIxrJSdPkq7BurmelSIyAw2qOm+tfFtEmRZEXfyQDtao7VyZydtIi/IEXew0bdKHYkuniTWxm+7m0AsuvyKPCFcqw1gUlTXyWq1sTGHY+zK+QtlAodgyIligwhDCi1cdA1GYk2LjkgYmsPoBRh+mEXrvZfsOoCbByYTE7/bO4KKsLRXoSIm4SEGzhS6uqUQwBAbZDP6cr/j723DpOjzN6/P9Xe0zbunpnJTJKJuxtRkhBcFkKAAIvb7rLY4m4LLO5uCQESEoi7Z6Lj7m49095V7x81Gcn0TMLql/fHfV1wTbqerq6urnrqPOfc575lrRmGXwaAKVBLdaHc/RM+oLdoYHVRCyufPSQ7JpLFzW/2nCNEUex3PuvcT3s1Yjf+U19wOCrR6aJwOCqor9/c+fq+ffvYs2MH01d9Ru3wF9A4m3GoBLKGpDNV0FPfridFJwe2Ju3XVIphJDsqGHBAQcTgCLIC/AEYWF9CYkUNoaEOEmIFAv1lS4bUwBNsr/bgRk1TwEBeu/BKVu460eczSKFQojOY8Iry+XX91jMsBw4c4K233mLo0J5qozabjXnz5jFv3jz++lffq9rT8dVXX3HXXXfx5ptvMm7cOF5++WXmzp1LTk4OoX2wrf8XcHVyWLpIt905LGfCWUhUdEKUpE7nVQCXp/93C5z5pjoFq7O3w3B/eODcQTy3Poc5g8J47sL+uQIjRoygpqaG5uZmZsyY0Wu7KkiPblAgjqxGkKBAeBhPeR1SgJXEQYnkZk0GhURubm6vgEUTbaR9r6xboI4y9n/QlhgwR8klEICwIb2GOF31ZGXdiyCoaGzaiVplwS/4XN6uSKTJPYw1w+tJrNRxYOotNFuCSC48iakkD2vaaDZduoDLD64lIMRAwCOPIgT5NrzUqBSEWbSUNcpmcIMi++52AfDzG0BNjeyobLGMwqBS8tXwrs4XpzeYtMA0shrlgGRkqJwBUhqNSK6+9WAAfslu4KHvtSgVbXx0TRtJoX2fw3STHyalAmtH7Vqj6j9jFxxtRKlW4HWfedL2WtvA03UNSk4nEwaE88WK8ewrLSHf/RVBxqG8OepD3njpDYKDg6mvrycnJ8dnwGJty0KlMuHxWGlvz+18XWxzdwYrAELuz6Axyu2tGZ/0GbAUHNpPYGQ0jZXlbP/8w14By5ZGK/F6DcV2F3/KKesVsNw+N4V6vUCgXsPjk30Hp/X19eTmysdaW1tLQUEBqak+LDv2vIbG1YTbI3MobAq5pLFwaNe94XWLFDeY0KrdON1qGm54huEdpcBfbnuVclUwB6usWJvuozX8IG7RzeyYWYxKTKamMA9DQCDBsfE078jFaWxFsHW13tfrM9HU/Mwb1vFMmerk2pqrEAU3b3Ip9boxKCQvTkHPdmkGg3PXUaK0UGuewaATO9Fc8g3aYwL6ryNJHGQioHoUB5OOUpA/CjHxCPs1l+J0jMbj0WEV3ARKEhpBiZ/oRHJ1cWseueB8dGs20/DpCSSVmsh/TGf5+DhKy604lfDnBakgCLRc/B0H924mNGEo6ZGyGuy8G1M4mfEmepOStKFykO6pr6f5m29QR0VhjRzX78Q8bpyskVRZVEiQQqSpupKA8N7lnmnR07hx8ApKi46ydNJ1PrMrAANTHuZk5quEhExnUJpcMhVFkZ9//pkgjQZ1i5Pwim1URU7E3fIONZKDmlowmAdR6EzALZUTEziUczX7AXg4BJy1r3FB6S1YVcXcWf8+3wwey96QQZhtVXgOCag6ngt+bZW0awP5enIQJ+MX9P2lOyBIp/4Hrs4My2+QdNvW1sYVV1zBO++8w+OPP95j2x133AHA1q1bz3p/L774IitWrGD5clkH480332Tt2rW8//773Hvvvf/MIf5H0Jlh6Ua6PVUSMgfLgVVTZWWfctxXRAThliRqnW6uPYNWhVmn5pNrx7HmWCXTUkKYldZ3dgXgzlF3EmYIQ0Dg8rS+yVQgaw/UtDgorG/rN1tyCjMGhjJj4NkFjlqtliVLeutbdId5Vhyu4lZEmweFWYmAfD7V7lYUbhvJA1OZMqV39sQwOhx1uAHJI6KJ6//Bj84MN+2BqmMQOULuEjkNKqUBjSYIl0sm3Pr5JbKlsZXMQhuqiouokjwkmYu4KGMHVpeDiJJsSsfO5o8L55F68H4Y6wRrMbw6Ah5u6bV/AKVCYNUfJ7Elp5YRMf4kn8F+ICH+ZizmoQiCioCA3l1CWqWWLxZ+Qa2tljBDWOfEGHj11Sj9AxBtNvwvON/nvl/bko9KKVDeZGf2i9v6zazF6bXsHp9Gkc3JCLMB5Rn4MkFRRq54ZDwttTYikvz7LXvp04cQ/sgj2Pbtw3L++Z2uyRMGBHWUPkd2jl26dCm7f/mOJFUW59T+BK1TO60qTiE+7gacjkpE0UlySpdujTrKiGVhAs78ZvxGh6EIvhFqOlbgF7zT5/FNvuRKdn/zGSFxCVz4wOO9tv8lIZy/5VcyxKjnk6G975+/FlSyRS9iF21kHi3gh5G9s1NBQUHExMRQVlaGSqUiIaGP+zBuElODPiBAGY4UMpDKc1/ic5OeiUldCqlKtQKGNOE8EYBL6aBy6ElAXkgaI2P4tDEdr0mJ2JBOiFGL228rxdYSXnxiJfY2K3qTmTp7HfeFvMgB4RDRAakk1g1m09hzmLdDiUoDXhfs2VHI2HPHczS/nBZXAAn1FRQFR6H12pn03iHejfQj2nMvEiI/jNfgX65k6fpIjgy+DbdzNzpnARNzQlFq48lpTMatbYago1QpXex0prCkLYoVWhVqIYR2vz9wpPk10sx1SBtuZsyof3AxOq756C0qH3qQ4/OeJaUjc6Kb6IEQuPqTI2SUKoAT/G2RyPJJCVTVvkG79BHWZie1219n1swCKu66G8eJE4g2G4a58xkx5yYaKtoZMae3HINKpSIxNJi9rzxFKZDx/Tfc/ul3qE7LhgkOJ/Mf2YgzLw8UexEPHfRpHZGZ2cy6n+QA1z7/JOPGjUOhUJCQkEBBQQH7x44lOmcjRVI+gsGOAgkRBS6vE68S4hQunnNO4xX1VKzxX2IXVHiFQia2bcdp1bBeP5n3gy5Fahf5xW8+mjG3cH6FkfxXKhgXsQM8LtIlA3lznuCS07yTusPjduOy2VCY5BDhVMCiUv0GA5abb76ZhQsXMnv27F4By6+Fy+Xi0KFDPbIxCoWC2bNns2fPHp/vcTqdOJ1dSrGnO6b+p+Dx9MywdHdrjkhKQVAoKD56uM+ARaUQuO4MgUp3jE0IZGxC3xdVd/ip/bguvW+OQXcoFQIrpvrOCPyzkNxeHPnNqEP9OlVk+4ImykjE/eOQvBKBnrcoKX6fg99tpfaYEQMnmXTFFX1KQGui+3/g94DO0qt9tTuUSj1jRq+msWkXAf5j0etjGad1ExxtpLmkjXhvE7HKZkCFSWXkpRUPc2TqMJl7VDsB8uWyAWOv7/cwQkxaLh59dgaGgqAgKKh/wqdSoSTC2POhLSiVfQYqp3BOWhgvbJBX9U8s7Z1xOh0hGvUZeVbdYQrU9W/x0A0Bl1xMwCUXn3HcwIEDGbjmI7AYZKXl9+fCHcd6jNHpIhk2rHcAIggCpinRmKac8v0JgVsPnfEzh50zn2Hn9K2EOz/En/kh/n1ut4sieqWAXYR6l+9spkql4pprrqG9vR2DwdB3gJd+IaqIYYzwOCF8SLdQrid2xn9Lc1gL5bYyOAlXjpZLIgtvvYfHn96K1S2vlAcFJzM2OZUV6SsQFAr8zHKZ5POszznafBxRECkNzKQgtJ1my2LSg2pwVLvxKASWxpyEP5RxYONxPDt/YO7JA7ik/QRkHyJTY2Lj8CaW77dSEljKnvjvuXKTiNV/HJMtfvgJU/le48ZrdtFqb0PtDABRAQqRCK8GRfILKLKfQSlqAAGDNoolwcXoDFa8LU6S25V8Nm4ay39eTcz7H7Lx2QIMFg3tLS5y91cTmexPeZOdxBADhXXtHChu7HMxJjodCH5+YLMhtTYx8fz+tbG8p+vp+MhkO3Jy5GAFQBRx5uai99G5lpmZidlsprW1lXXr1nVmcC6//HKqqqoIDAzklzdWozq6H4hDEJsYnz6eKFsygsPDw0IMZVII091HcLncHNXJ8+T01tG8OKIVS44O1YEGFC3yMb80MBzvoOlMnulC0MsZplgBJkb19k7qjvKsEyCCSivzG7tKQr+xgOXLL7/k8OHDHDhw4N9yAPX19Xi9XsLCemYQwsLCyM7O9vmep556ikceeeTf8vm/Bp6OKLOTw+KREFTyRKPR+5E0ejwnt21k1ML+Mwy/VfTXmVL/wclOlczASwfiN7z/jIygVCAowU8TR9qgRwjU5ZOfvJf4oSOJSu1f1OjfCZ0ugsiICzv/Ha5Vs/+cYVRNTsNbX88Xn3yIx+NBEARKZ43qyjRMuRuSZsu185CzFOD7H+PWWcksHh6JUasiyPjv1V/5jyJ1ARx4V/57/rP/22M5C7yYGsObpXUEaVScZzbx9vYC0qP8exHnBUHAaDxDaRPOynD0j8P/yJP7niTBksDLk/9GadkHWMzDsVhG8PVNk1lzrJIJicFMTu6ZVbPuqqBk/QkUSg+zlLPYH7Ifu9nO45PuIkeIRFebzHKXzE2RzLG0H66hqMTBmrgpuIMk3IgExWqxKb7A2z6ElwIUWNSy/Lsj8Cby/NLIa/My4fjLTBxdQPssNzabiaPbL0NrEKhQ1nM4+DAAfgo3UkMxoiGE5gP/4JfgNCRjFNOil/FWZhZ1yd8gvjYMRbiB6IH+VOa3EJns3ymA+cqlI3hvZyELhkRwx2z5nCUk3IZKZUGSPJ1Gg1HPP0/jx5+gjook8Morz3huowcNYd5Nd1KVl01wbAIttTW9FqX6IUMwTp9O29atGKZMQTfYtyDixIkTWb16NRqNhiu7fbZSqew01Bw8bRYVeXLW0RSkY9hlaax7+jnqrWU0pV5MoOTHLMdRFla20qhxE+P2ULT5XapmXsDOYUa0J7YiGkLwtqfQ0BjJk/lvs2Pe97TtqgSPdFbchKrcbFQqDWqdPE+cevapf0sBS1lZGbfffjsbNmxAp/t17WH/Tvz1r3/lrru6FEZbW1v7Foz6N8Lt9SJKQlcvuleEjr8lUaS+rJiQ2DOXWH6LyC94ntLSt1Grgxg39kc0mp4RuquyHVWoHk+tnZIfDrD7/dUMnT2PMYsvOKv9hyUm9Wsc+d+EVqEg3qADQzS33347LS0tREZGdprOAbKgX+Tw/9kx/rM4m7b0/3NY8DyMu1G2ndD7/6+PBqs1i9bWIwQHz0Kr7R2YR2g1PJIchSRJzHxhG+VNNtxeiUcWD2bZxPieg5tL4asrZbPThc8jDrkQj8eDRtO37YQvTI2eytToqUiSyO49Mzpl5QcNeoG0iPNIizCD0wob/iZrr0y5m1p1AE8WV1GfIjGgyIXOq2Nq9VTuv/YuCgqfI8S1ksQFt4G3AHLXI7SWIq66jYs9N3E8DPbHWxBa3Tjrx5Ckn0xyzTaCVFs4EbaA6ye8SdG+NloDTuJVOMmOTmfEz4V4EgQYamVK2ZdMSSlkg0aPyRrG6NY/4ec146rajCfvFyoCTWjtemoxsNjdwFCbgVusUdRV/Uxt7RpKM99CElupyPXg0zD3+AABAABJREFUaPfgZ9YwPM6PsKrVZLQUs7vqBqZGT0Wp1BMff2OPc6WJicF4090c/rkE7doSRs6LQ61R4nZ5KThUi59ZQ8ygwB6Ls8HTZlF28jib3nsdgMmXXsW4pV0ZQkGtJubNNzoXdZIk9VjgeUWJ9SeqUSrM3HPPn1AoBOxekZeKq7F7RW6MDSWwQ5C0QCdyaJSB8REWrlw4kPz9eyhukLOKQ09+RtqFf6Xl6CL8pJOY2mup3BuIw1PBdfWZvKn4kYbwAsCLp2U4ya2FpB9LZOOAbRg10QSp/MhucKN+fD/n3zMSjc53CBAcG0elt76TSHyKDvGbKgkdOnSI2tpaRo7sSkx6vV62b9/Oa6+9htPp/NWknODgYJRKJTU1NT1er6mpITw83Od7tFotWu1/f4Xo8XgQ6bqIuwvHNZSX0lRVyaxrbvqvH9fZosbpRqsQ8Ff3/tklSQJR7Gmo2AFR9FBS8iY6bQQOZyW5uY8xZMjfe4wJvDAZ67ZyGKhl/fq3EBHZ/tkHJIwYTXBMXK99dv/cpmobBn9tr5bC09HoaOTh3Q/TYG/g7tF3MzLMd4Lc7fJSV9JKULSpxz6tjQ6sjQ7CEy29zBElSaK+rA2dUd2jrGEymTCd5v9ja2mmvaWZ4Ji4vlP5rZVQmwVxk0B95uBeFEXaDlThzm1BO8KCJkWPRnPmcqDLI1LWZCM+yIBS0TdvpNjuRCUIROt+3YOwP0iSRE1hPgb/AExBvlPMkiSRZ3MSoFb6LC9JkoTd2oreaELwVQZsLAStpc8sg93lRa/xPefIJHTJp7klyDIDCvo20fSVUbTZijhwcCmS5IacB5g29SgqVd9ZkmabixCjlsoWB2WNtt4DMj6VrxOvE1at4O+bKmhpaSE9PZ0LLji7YL/nMXtxu5vQaEJwueqw27qc09n+POx/B9ztsO9NHrzoKNsi1DQL4WyMms+N279H1drE0V1/x8pKRNFJXd16xrQMwCoFEyXU49X8Qol2Fn9rSuRylRJbfj2CzUNhk4tCRlKsuxxP3Q+4Pfv4euAGWtvKiYs7jmeggJgn4YyW0G9XkKZpRPKqmWuzM5dikh1BuLHB4Dls1/1IgyuVUTnZwGYWNtXhN+FWyLsM8i6jZOC7uK1fInplY0aPexSgYX3Ren4okF3lb950c7+dktu+yKGmqAW71c3xreVc9+JUtnySTd7BGpAgeUwYc67tmSWpKczDPzyC5uoqDq75rkfAcgqCILCrycr1J0tocHt4b0g8C0P8eWlDLq9tkbvgkkKNbLxrGq+U1PBGWS0OUeKV0lqqZwynqd3FzZ9noBQENhfUExZtYlpcAhq9Hpfdjsnbxp3nDaHYpODVndfgllpIHBGHUzeE1s1O3MMfIzokgvK2ciYNUJH2cQDgpaR8pXx8yjC0wVdCeRv71xQx+ULf95XOaEIQZAYNyIt1+I2VhGbNmsXx4z0vguXLl5Oamspf/vKXf4pBrNFoGDVqFJs2beK8884D5Ml706ZN3HLLLf2/+b8Mr9eL2M3anW5tzVX5uQiCgoiU3kZyp+AqLaXi7nvw1NYS8fhjGH0QS7vj7e0FfLG/jIkDgnhsyZBeD9lTkCSJxvc/oH3XTixLl2JZtKjXmPfL67gvT+6YeSI5qgfp19PQQOk11+LMycH/oos6vWlOQaFQER62mOqa7wGIT+j9u+iHBKMfEoyttQXtbhP2Vrk8ZArqn7Oz+eMssvfIE8+i24YRO6i33oynvp7S66/HmZlF1EQVW6bBsvXLfE5IXq/It08fpLFSVtS8/OFxBIQbqC1pZeVzhxA7uq1Ob1/c9W0+RzfJ7bNTLklm6AzfGbuawny+/Ntf8LicGIOCueH1D3sPaiyENybLDwaAB+tBKT+s3ZWV1P3jHygMBkJuuw2l0UhJSQlffv4FdqeDyZoAlCHvIda2ExIyh6Hpb/R57tqdHha9tpPCOvlzTjwyF6O29y39YUU99+bKK+6bYkJ5KOns1FPPhE3vvcHRDT8BcM6KWxg6u7e66xOFVbxWWgvAiwNjuLxbR40kSXz//OMUHJSJsDe+9UlP49AtT8kt6QCLX+2hHeMVJVZ8fJDN2bWEmbVsvns6hm7fvbX1GEePXY/LVUdq6pNERV7S47heLq7m+eJqVILAtrGpxOm7FkAel4vVzz1GybEMBowex+K770OhkOc2l6tBDlY6j8NBbWUrTqeT+Pj4HgGOIAi8u2wMn+0tYWi0hWXDjLIJo64bYTxxBux8WT7mgCG0NMn3zfHjx/sNWNxuN6tXr6a8vJzJkyczZswY+XWU5Ee9g715N4tjA4mN6aa3ozXJ5o8dMCmV2BSABIGtjRgKjqNwOVEqBiJ6ujiCW+LuIKTqcXaTwKNRbaCSzR6/Sd/ES3VetuyX55XzVbvxiGHUuP6B9EkmqQo9qsEZBAWXoVa7qH5elsCxTxWpNc7C2HoAUWzkLc9UurNEFlzwJjMzvmdofg5qr4TCEIIHCVXHYlF/bCmi993O8cVHDjJ01jkkBySjElR4pJ68oeZaG7u+zUepFJh8cTLGAB0avRKXXX4Im4Nlzl1bkwNTgA5ro4PynKYe+5AkiRlXX8/OLz4mdPwAzrm+72fThxUNnX9fe6KY6hnDqWy2E2TQ0NDuIr/DSFGtEPCcxofRqhWYdSqabPIZifTXo7eYGbX4QVz2eiZeMBmFQslJRzEunYhT0JCprSKkWg487oy4nwMBGzgv6TwujV3IR1/fgdvR1XEleWvAJQchQ6b2LcHhdjhQoOgURj2lw6I5gwnqfxq/KmAxmUwMGdKTrGcwGAgKCup8vbq6murqavLz5Wjy+PHjmEwmYmNjCQyUV4yzZs1i6dKlnQHJXXfdxbJlyxg9ejRjx47l5Zdfpr29vbNr6P8KvF4v8pqMLi2RjgyLy25DpdWi0fVNOG364kuc+flIdjtlK673rZXRgRa7myd/ysakVfHZvlKCjVruPMc3V8KZlUXtc7LBXvvuPWgHDkSX0nPsmroWIrVqKp1u7s+r6BGwtG3dijNH9q9o/uYbbhp9nAUJC1gxdEXnmEGDXmBA0p/RqINQKPomYvqZLSx/6U3qS4sJT0pBrek/E1Z0rL5TRnvv6kKfAYt1wwacmfK5Wrzbw6fTVJg1vruEHG1uGivbUSgFRK9EyYmGjoDFiujtu3hbnt2EOURPa52dHV/l9RmwlGed7CThtTXU+95ZXU5XsAJyi0VHwFL9xJPYjx7FW19P08efkJadxeHDhzvLysVh20lQyRNMXd0vfR4vQF5tW2ewApBd1cro+N5Zmc0NrYRqVNS6PLxeVvtvC1jKTh7rXHFu+/Q9nwHLxobWzhbgu3LKegQs9tYWCg7uQ6XR4nE5ObZpPRMuuKzrzTlrwT8Omkvgh1t7BCwlDe1szpYDoZpWJz+frOb8kdGd2ysrv8brlR/O2dn39QpY/lFaS4JeNru78WQJ60Z33S+VuVmUHMsAoODgPlpqqgmIkCd3i2UUSUn30tx8gKjIy8jJrmTVqlWAbMJ4++239/icUXEBjIoLgAPvwfN3AxIsegVGdWjyx02AuzLB0YJXEYjlww9paWlh6NChSJKEq6gYZYA/qoCeDvB5eXmcPHkSgLVr1zJixAhUKhWP5FfyYYUWkRmslnRsiu22yJl0hywD73HA8Ct4VKkjzajDT6lgTK1E8bRZDBg9joTho2hoHIrb1Uho6FysToH7msIpaMkBVZfDsMdZztNzo/gusp7hQQmML9pDVsWFmHLkjGKUGEhNsxJ1mBxACB4tIgIKHOyyePmbcQBJ9hmMChDwNupQtHlwJ5txG9rZnrKL4PFqAtvc5KY0c663AiM60sYNRV3kh6J+EKIrC0EVReJIuZtuSPAQvly0ivfLa4gwxdLu8WJQKdn3fSE1xa3YW10UZNRx85szmTQnGOXPX0FVKQP9I5GkkYxa0krGejfBkaFMWzIASZRoa2/j008/paamhkmTJjHv7vs5XnmclVnf03K0BbPWzOLFizGbu+ajJaH+rK+XA8/7Opy+/zRPXsgqFAJ/mSe3r98SG4pZpcTuFbm6gwTrp1Gx+uZJbM6uZeKAYAaGm9j4QSYFR5rwOKHkxAGWPTWJ1NRUDh+WuT/JsTHMWjYKvVGNJcSPC5lNq/UEhw8vYMASN46KNNqqE2myexh9yTWkJyZhDNChVPWtqVJdkItKrUXZUZo8Jc3/m8qwnA3efPPNHoTYqVOnAvDBBx9w9dVXA1BQUEB9fddkf8kll1BXV8dDDz1EdXU1w4cPZ/369b2IuP9reLxexI6ARep4+J0i3QoKJaLHLbtc9vGjGiaMp/HjjwHwGz9efrHikFw+SJ4Dqq6Hu1GrYlCEmcwquQNqzuC+z4UyKBjBzw/JJqecVYG9H1p/jAnhjuwyjEoFXw3r6WhrmDABVWgontpaciMhvzmfVzJeIS0ojclRsniYIAjotL5LdKdDbzQRM6i3omQvOFoZn5LF/sw4giLNLLrNt8aLYcIElAEBeJuaENKSeX/ugz5F2gAMFi1jFyWQvaeKuMFBDJslBx4pY8Ioy2ykudbGuMW9O6TGn5fIrm/zCU+0MO+Gvjto0qZMp+DgXhoqyph6RR8BddJsGLkMKg7DhJtB08UbUQUF4W2SV2+nugjS09M7Hz7xNQHow7zY/SA+vv8M45BIMwuHRvDLyWrmDYlgRGyAz3G3xoVxR1YpOp2C94bE97vPX4Mpl1/N9s8/JHrQEBbd6Vtz6c8J4TyYV0GKn47PhvU873qzhUFTZ5K5fTMG/wBGzDstMzj1z7Duz3LQcuV3PTbFBRmYkhzMjrx6TFoV5wzqeX+Ehs6nqlp+T2zsCk7HpRGBvFMuz0FPpUT32BaWmERAZDRNleVo9H6Ygrt4KoIgEBe7griOfR469DMajQaXy0VTU89VeQ+cWNmhC1QOP97WFbCALORnCCYAuP322zs5LDVPPU3jR7JxYdSLL2Be0KWdERERgVar7eyWPNVVV+fyEKhWUe/2cLKtm08QyEatI69kx+cfcvzt64hKHczyO++V56uIIJKGdflFBwXK9/3JbZvY9N4bJIteHnz0OT5vWs6O8h0sHrCYWHMsi1cvxuqyyudx8lPcX3kf1wSqGWJLIlG1gTk1Odit4VTqF2CunszWwc9gbQ3hI79MAgQz3wduoS4ojmkeE4eTlaSUu9CU7yErXMs3U22AkqENHna35qCQvFRGjmSfQ8mwkUtpzR2H5DlOfWkOxgC5PLyqSccXDXpc9bU8XSSXWQIiDOQfkoPbqIHyPeLcvYOokoNIjmZaV++j9QoHpVtLqc28iWmmFgr/cQgzCmqWaDvpCrt27WL9wfVsiNiAJEiggtvdA3j11ePcf/8zSJJEYdHLhDXuZHPiBYRGXCwTkIEIi54XLh7G+uL1rDqxl2HaYQxNHdrVNer1wJdXQPYa4hKmsfwPKzsXOaIodWbX3c6OrJBSwC8nAwSB6qyD6M9diCXEgsPj4O1jb1Nav4txgpNAfw86/6NccOsq9jS38XRhFZG1tTwTEENfwhCSJJGzZyej/ed0Uh5O2dJo/sccFkE6W7Wx/8NobW3FYrHQ0tLSI9L9d+Pxt7+itaqIZ/92L6LNTeWjewn6Qxr6IcGUZ57gq0fu5cpnXiE0vu+WYXdVFaLdjjYxEfI2wmfd0r6naXk43F4ySptJizDh79c/98BVUoItIwPjpEmo+pEw7wuSy4W1sYal26+m1i7f3Bsv3EiY4T8YNP58Pxz8oCsb0YeWCYBot+NtbUX9fyyI/bUQnU5af/wRhcGAae7cTt6Gy+VCkiS07hak9gYISUFQ/Hcnh5Y6Gxm/lGIM0DJiTly/K7B/J7weN0rVr/fbkSSJVocHs07lk4fi8bQhSV7U6t4KpwB1LjcWlRKND+6M6PXS1tSIKSi4X02Z1tZW1qxZg9PpZN68eb3EDjuRtQa+vwmcbXD1Gog7sxN3/ty5CAi4SkpQmEwMPLC/x/b29nYaGhqIiorqLMdXOlw8X1yNXqHgzwnhnQ/Mzvc0N/HmDVeiVKvxut1MvmwZ4867qM9j+Oiem3G7nLTUyGXbu79a07nteN1xLv+pS/PpD2l/4Kucr3CLbvSiyP6SciSNP4KrGatnCT+qJpNNFQokdgaspcZfDqjuHPsYX+yNYN5hecEVedF3tLat47W6Lu7XY3kpHG5awccmb+drf6z7GlVbQ4/jeqygkvfL67B3iG5WzxiOJEqUZTWiUApEDQxAEATqPz6CI1MOtDzt2exIfZoj9elMVA6mWZPFd00zOCEl8rnOjNLbyM+KIxgCjeQ4c9gT1iW38UK0DaUAs2YW0NJ6lIMHu6QFxo39CaNRzqxIosTHb26gJrsZd9gBqjVhRJdWcDFeghYuxDw0FN6e3nXiL3gPhlwAgoCjzc2RjaWodUqGzYpBpVZS9eEHZL31BhX+BmrNBv74zmf4mS28d/w9Xj/yOi5RFpH8e6yL5KT7iIlZxsz92dhFkSK7iyC1ipOTfS/MvB43L1+xlKXj78HsH0zw8iGs3XWUAxu+Y+kfrmNYUrTP9/2z+DXP79+9hH4FvF4vCD0zLKdKQmFJyWj0erJ3b+83YFF3n9Dqc0Ghkgu7PqBTK8/oIXQKmrg4NHF9k1vPBEGjwRwew6olqzhRf4KhIUMxabrIpnntDvJsDqYHmvE7gzzz5oZWDra2c35YAEl+/RBONQaZbHg2x6fT4c7KwlVSgt+YMQiCQHl2Izu/zcfPpGbW1YMwWP7vt+oqtFr8L7yw1+udXSHaUATj/0bdedNHWbTU2bG1yKnzS+7/71hjnClYOVJ7hK1FPzJc2o/SU0vSgHuJiFiKIAg9/HROR39kWKBfjRmFUok5+MyBv9ls5vLL+xdqBCDtXEhdKHeXnSVCbrmV2mefRZOYSOx77/babjAYMBh6dn1F6jS8mNpbAO0U9GYz4QOSqS6QNUMGjp/c7zGkTp7Ozi/kLM/iu+7rsW1I8BBWpK9gd+Vuzk8+n3lRs7CVV2Mrr+XOCAPwFYKrGQDjjXewr9HMVw1tmD0urlqZR62mkvS4NgbZviEwfjzPxU8Bt8gqMYSm7FtQBLyL2DHVDNZsZ5C5iY+luzs/32l3oAIGT5/d+dpd8WEYlQpcosSNMfLvJygEYgf3nEfd1W6UFg3eFhduYwLPG/SIxgJ+oYDjRaVcq93En9zX86b7HJ70BnLjiIv4JH4d4T8kkaxpxuZXx7yISroLneu0kZ2Ky0CPDrL68jbajikYOONdqkIUrKwZy6fvvU9x6CgKj3/F2KeuwxSWDjUdvLyV18KmR+C2I+iMasaf15EVd1pxb/matleeIcKmJKLJSugnH3Xq6Zi15s5gBWDmjJzOvweb9HxTLWcBr+lHh8XjkkveChTQkdk5VRJS/5a6hP5fh+j1InUGLPIPeIp0q9ZoSR43iZzd25l6to7NI6+C2pPQUgEzek4GOdVWvjpQxtBoC+eNiMLusVNhrUDRrKC8rJxBgwYRHNy/+M8/A4vW0mV73oHjVhvzD+Vyyh2gavqwPledx6w2Lj8mW7m/WFxDwZR0DH1d5FPuAVM4eN1nNONr+vxzah6TRQp1gwaRsGolO78+Sn3pBtxOD6UnJzNm0RDGLfr3CuL9vwSNToWz3UV0+VbCW9pxlYajie374fffQIuzhcd+eJAxfq24w8rxCpCZdQ8REUv/68dSeuIoB35YSVBMHFMuW4ayw4lcEiXKc5vQG9UE9yds+CuCFQDLonOxLDr3XznkXlAolFz66LPUl5USGBmFWtt/B9u48y5iyPTZaHR61KdJWQiCwM3DbuFcxWVw/DiFV8wlaaCBsWHltDVZeS8kmiHNwaS6osivfJsRbdmUKq5kj2oUJYuvIUyoJ0u7h4CG7VgKwhnoGkhplZtyJmGu2cxfqiXWjzYTXWXkB2scwcPjUbd4MOh1NNs9nIy+ikdFSLluPk6nk2PHjuHn58cdgwZ1zk/N1VWc3LaR0MQkksdM6Dx2/4UJNP8gz1Mrg3aCpOiUoS9URpLorWSMIock97l4AdOkGPzq/dgStpWxRYtxaJtZMFUEZTuxsXJpWKsNYdzYdbRajxHgP75HZs8Sqsc/2o4pOJ8NLUtQV35KYfwsSuKWgKAg+yMHN7++DQ6+Dz91GIc2l8qL2VOZVlHE+doUtNYikhdDwe44SpLuxbvSjqqhCMu8BC5MvhCj2kijo5Hzks4DQHK7ad+9m6dCw1g6NJEIrZo0Y99cy7pi+bxotPrOgMXdYYKo8dFh+t/E7wHLr4AodmVYOp/eyq6uodLjR4lN799rpwe0Rljyj14vS5LEsvf34/aKvL+riBPVFWyx/pVaey1KUcXF2deyY90hrk4PI+psVnf/IgpsTs5gZdQJl9hzYL/OMioNjL7mrPbrzM5BYbEgtrTgyMyUP8u2C2dbLkgOnK5MDq696/eA5V/A7OWDyP37p6g3fQuSRMGcn/olhv83YM08zt0BHrxKcItqJKUboVlF9dffE36xLNAoSiICQr+lm38G+34s5OT2CiIG+JOwOJZrPs3AKaUxK3szlhwTEf6JGKdGkVFk5dgWuQtr6Mxoplz8nxcSlCSJ93YWsb+okcvGxfayznCLbtR9kOOVKjVhCQN8bjsd1kYHG94vpL3ZyfTLU4kZ1JMft/WzHLJ3y/5eofFzmBn1CTqVkwujg6lXKcDYyH3l5zNl1Uia51zNLeKT7BFWojHm86F3LHgG8HXRUgwlDTg7eoVamooQKvYQ2GZgWG7X5z056HwcuSLuBjkra9LmgnsI1S8dYndCCSezMhFFkcTERK66Sl4Affvkg9hbW3HZbUy8+IpOUvdhLewbZWGpU8lk6xLWNhfRbPEj3RtNvmUHK41zULfEE7gglUtramjNK+CV1Au5ck4gTo+NVMd2yioPoVKZSUy4DZBLkLl5j9LWlk1iwp2Ehy/uPHaNTsVFM2tQbmhipvQ+Y8NGs2loEImtThR0BA8KJQy9GNuxL7nLXcJhPwNXHXubm0fcgiAINJQV4N9aTKtLB7Xw5LCL2aS0AG08urWIq+YlIAgC8xN6qjRX3n8/rT/I/mTpt9xCyC039/ubi6I8a3ucLrQWOUvpPZVh+R+Tbv+31ou/MYhesVtJqCPD0lHnb6qqxNpQR+qE/luVPQ0NcqfQGahDSoWAu+MzGp0F1NpriVAI3FB6OZaWQfg3DWPjxlZcxcWd73G5Gmi1nkDqxzVUkiTcp0lNFx05xGf33cn3Lz5ITeUWJMnbY/uCEAvLo4IZZzHwSXpCvw+G0RYDr6XFsiwyiPWjUjD5yK5IkkRzdRVOW3uP1xre/4CKu+/BlpHR6z1BN9yAfvgwDJMmkfiT3EqbPHoASB3EQsGEwb9nSWhDyQYe3PUguyt293m89fZ6Xjj4Am8fextnt/JUaWkpa9euJTMzE0mS+Ka6kb/lVZDb3pPIKLpcNH7yKQ0ffohot5+++07YWpo5umEd1fm5fY45dR7yD9WSubMSj8vb79izgd1uZ9OmTWzevLmHnYUv6Axq4kdG+JQe7w9ul5d9PxSy/atc2pvPrsTXeXxHj9K6/mfEPo6tvulznIYKXOZyJKWb7G8SyPhmJCs3myjLauTjkx8z+tPRjPlsDEUtRV1vbKuDjY/ArlfA09sUUpIkXFXteFt9f66jzc3BtcV4XCKFR+p4+JtV1KoCaBDMfB25hJN+FXzMSgp+OEh5UX2nds+xzeV9flenzYYkntkcshOHP4avl0HOul6bDpU08fjaLH7JrGH5BweotXZdl0/ue5KRn4xk8peTabA34K630/JzMbU7KnA5usrPdq/Iqpom9ja39XkIJ7ZXUFdipbXewQ+vHOm1vamqHXOw/N0bAiYjtIBB66JdIWDoqOdkaUq73uDV8XPZLYQX5XPnp29z+4tvEJRdjVvsWju3F28npr6RovAk1KIRpy6Mn2acT4s5EPfIIPRxb2FIfpxJA7ZSPOZpmpW7aGtqxc9PNuisrq5GEiUcuU34eU2oOsqtp9p782qs/OG9fbyyOZ8Zu3JIWzyIaxY/zwDdbLKCRvNS1DLGKo3cdvvtfOm2oe7gON2WXcElqZdwfvxErK2yxYPH00pTkzy/1Naup67uF+z2Uk5m3gnAnuY2HsqrYEejFVXGe9jdcglvVUMGG0PrqIluIXVSOFc/3ZHV1lnYPvtPbFcMoKVpDG8c/gJvx3ys1JnYUJ1C9Y4AKnYFctwZT4hH/u1eU/Z93zmzc1DHyZnSpq++7HPcKcQMTid60BBaa2o6MyzejgyL9rfU1vz/OrpnWDq7hDoyLHUlchotbEDfMtr2Y8coufIqJKcTTWIiA35a63OcIAh8cu1Yvj1UTnqUhWCcrMkayRXKHNyOQERDHe72EJyaJI5vLWPU1fG0tedx8OAFeL3tKBRaZkzP7Nxfdc2P5Oc9hVJpJDd3AUVFzURGRnLttdeiVCrZ/P6biJKD6oI8anN3MXlMCUFFC/F4jQTfeAOauLhenRT94cLwQC7sx1hr2yfvcWjtagAW33M/yWMm0L59O7XPyrLrrWvXknryRA8RO010FLFvvdVjP+POv5ig6BjcLi8RKaMICOuq55e1lnHXVlkNeXX+ar5d9C0DA3tr5Dy25zEO1R6ixdnCl9lfsvnizbhcLj755BO8Xi8HDhwgduF53Ncxp79VXkfl9GGdqrf1r/2Dhg8+ALeb2qef8ZmRkCSJrx+9j4ZyeeKec+NtpM+Y4/PcnNxewbYv5KBmy6fZvfRiJEkClw3hxDfUuvU8WzqQIKOWO2an+BRQ27hxI8ePH8flcrF9+3Yefvhhn597Cqa5c4l89hlcpWX4X9Q3GbM7jmwoJWNDKV63yPEt5b2OuS+0bdtG2Q1dKqSnn7uTJ09SZjXgZ5IDW3tZCI5GHSBzBI5vLefDoA+JMkZR3FrMTRtvYt0FHQ/3NXdA8Q5wtMDB9+D2oz323bK2iLadsn6I/3kDMI7vavX2uL00VrYREmeirsSKwusivKKYOfVe7MYYSqKP8kzYJwB8ErKGd0qCqLQ8Q0hsCNOv8K3D9Mvbr3J8088AXPfqe1hCz0Aer8mUW7kBMlfDzfshpGvfgQYNaqWA2yshKNt49+QrhHv9WdgwhdbCcoLCg2hwNvB6xutct30urhYnSgm2fJvH8DtHEhZv5pasEo5n5zCiNJdvDQFcpxtKiFaL//wElB18sKhkfzJ+ka/bkNje5a6pl6aw9/tCIpP8mbg0Hp3qBFLuWh6sLuDNwr2k2kNQtJuoHdpK7IH70TUNwKz8mjuUn1O+y8yFCx8j0N5Ki9ZIqKqMdxUPoxovot5oZmrWEXJSLkEMm4JYbsev9QGKQ8vAT2SqLZHYgScAqAx4lbSHAkibOwBTYgzx59/Jvs9OEHiyiamm82kIqEM5zszgabMAcHnFHjG5V5JYHh3C8s0fQ0m+3MkFoHiCC8MC2dAgd2o+liS3tvv5DSAocCoNjdvR6+MIDJQXqWZzOgqFDlGUA6MGl4dLjhTgkiTeLq9jd+pFJNTJGlfOlD+xd8mfOrWDcptyufu7u6m313P1wNuxFd0MKHGyFJtLxKwD/7BwhtzxPs2XXIHNomNZ5k98OPJ8hoSb+PA62ZPI29aGIzMT5YCBaAPNCIJA+IMPUPv3v6MdOgzLPV0coL4gCAJDZ8/H/k0F7g7XbHeH6/lvSun2/3VIotilxtnZ1iz/WzwlXdyPAq9t/36kjnGuwkKfY9z1dtr3VBIa4sef5g5EEARO7tyOXryINtf7xI/5iPqTi1H7FzOjbQKqDrul1pYMvF55YhfFntF2YeHLKJR6bPYCwiPepKjoUiorK6mvrycsLIywxCRy9uwAYHpECd/vm0Zrjcjigp9o+e67f3tZIG//HgIiomiqqmDD26+RPGYCSn//s3pv3euv0/DmWygtFuJXfktKH6RBtVKNWqHGLcrZJJ3Kd61eq9Ti8sorcItWrjkLgoBSqezMRMmtfL6zHZLTgaBWI51ukHYa2poasISF01JTTW1RIczwPc5mdaNSK/C4e6/Es3dvZ8Pbr+Ky27k0/jiBfi3MUqXyR+sDrDxczsEHzun1HpVKJZPFoU9Dye4QBAHL4sVnHNcdGp0Kr+dXZA464CouBpUKPL1J583NzXzzzTeAAYNhIUkBQ6g5lIs5xI1CNwWDsZTQWCvnBi7gg1yZFPrYpMe6dqBQwqlsho/f3pnfhDJIh7fBQfPqgs6ARRQlVj57iPoyOUKdc91gdJ8+w+h9NVhHzKDJK1FdOJr3gr/G3bGqHS9mgOZaPBdsQRDcQM+OPq/Hw/FNP2MMDKKtsYFdX3/Kglu6HhyiKPH+riKyqqxcPTGe9GiLLC6n1HaR0rU9g4XEQC3f/XECGeWtnKh8jpJf9jHWezMNnmJu8V7GeOtJHoz9B8vTlyNtKcfjlVAqBFQCZPxcwrwb0imzu5idk4Gq3Y6itZEXvbUsdI9k1JE6op+WH8Kxg4P4w2Pjcdm9BEX1tnUIjPGDhaW0il5UxmQEpR9fZgvk5HgZw5jOcZWCh8Y2JwbasHnnMLl0PxJWxledZFPsaACuMb9Oqs0un71z6ti0YQ5RCaMId1Qw+LvnuMDrojwI7rpehbE9FK+oRKmQr+2omFYiPT8jFErw/Dtc6vgcgPcxkNIaSvT0rnlicKSFVy8bwd7CBs4fGU2oqeP6mP2w3LkYMRTOfQmAeSEWNg0egFIpkBAgf3+FQsXwIW/irTyMMiwdlPL7jcaBTJywBYejHLN5GE0eSaYtneL+jVxB4sTloNIzQK2TJS3aaiFpNl9lf0W9vZ42dxuvnXgCeLrzeHfk1vPUOnmif2/ZGKKee5Sy1x5gbNRBBs3NYNqMoygUGsT2dooWL+GYcTpVkfL1e9WTEzGNGYP+lRf48P0Psb/xBlokhvj7MfvaP6I3+e7KSRg2iuxvqrC3ycHaqZKQ9ncOy28HkuTtDFhOlYROcVjUejkdaW9tRd1Hd4FlyRKsW7biKiwk7K/3+hzT+Gkm3jY3YpsbZ1ELQZelIoXEIazezbvqS1gesB+zppYZTQtQCQL6oTLxNjR0PrV167Fas0hMvKPHPkOCZ1Fa9h4A9XVzAfD39ycoSGbOz7/lbgZOGc/lR97FWjSbzwLm4w5U83HafNatvudXniOJ0rJ3aajfSkTE+URE9FbrTBy1gGMbv0JnDOKKJ+Ssin7YMGI//ghndjamefM6syvNPxViO1iDNtFC4GVpNLzxJuqoKFzFxVTd/wCx77zt8zjCDeF8OO9D9lTuYUbsDOLMvjuoHpjwAANzBmLSmDg/WW5JVKvVXH311Zw8eZKEhAQSExMx1zZzwmrjsoigHp5CwbfeJju/erwEXXetz88QBIFFd/6VIz+vIX3GHMYu6d0ldArDZ8fgsntw2j2MWRDfY9uhtd+jVPkBdr4sTmfNnELqVe0Y3E+SrnrJ5/5mzZqFxWJBEARGjx7d5+eeLVxV7bgr29CnBaLwkzkS6TOi0ehVuOwe0ibJXXAttdVk79pO+IAU4oYO97kv/wsvxJlfgLu6ulddXaVSoVKp8Hg8tLcHMmnZeYReF9pxHlaz9ZOVVGTJT4ItH27BrDGjUXYLFM59WZah1wf45EmZ58TTvLYQdbSR4Ku6JNhdNg/1ZW2otEo8Ti/NNTZC6+sIGXUFwWoFKYJAZVU2lh8NlIwX+INbXnhYVTMonyJrTkU++0yPoE+pUjFszkKO/iJnVCdf2pNgvjGrhsfXyouClYfLKXpqAYIlGq7bCCW7IGUemLuJ/R37Gn64lSi3ijVxr6Naq+CPWQ78J4o4Q+T7ZnT7YA7M2oXOZMa13J/ilXkcK2mjPczA4qvSAHguNYaN3zRj9ZM5FIsPbSbP0s64MV0GiW2NDfz44hPUl5Uw7YprGD63p3niO8ff4Y0jbyAh8fjexzn4h4Pk5eUREBBAU1MT4eHhjBo1irVr19LiiOc7hQSCCkXUQ2yovZ2/VX3IRXmb2fmHRtIctZ2hXgsK1kwuYYXbjbX6EArRjQBEN4DBLtGe7cdjtrtJMJdzoCGNj6LfJphmtMgBnkFVjTdsE4+KKi6u8Uf5x3cYfe75nca0i4ZFsmhYJC211Xx0z800VJQxc/mNDF/+U4/v9/WBMv68UvbxuXHaAO6dnwqiF947B2VVR9bulkMQLPugabWhaLWhiKLEh1vzGFbQTkiyP9eMjGFSQLegM2cdfHFp5z+nXvsDq/JkAcJFiYtITEzr5Ce9ta0AUZSobHEw9+XtHPyThbo75RbwAhI4UVzO4ogowqurcVbVUjVtEhpnMy6tPwfWFDHx8gTe/ugVvG3y/epEIGfPDnL37OjRpt4dOqMRpVKN0yF/jqezJPR7wPKbgSSKKJRdTs3Q1SV0qq2sta6mz3ZIVUgI8Z992v+HKBVIHatVhVaefLaUu2jXWHCLEl/VzuYvsRFUhKoZOTcOfaRMilKpTAwf9r7PXSYl/ZXIyEvQaAJRKi04HI7Oei/IE2rEwHCcuY2sU6cjeboeyAMPHeyxr5aWFurq6oiLi0Ot7k3qa2vPIT9fXh00Ne/FYEjBbO4SkXM5POQeCMQUdgtOm4fCo05GdCQGDGPHYhjb1UrraXHStr0CBLCfaKBtbyXmc8+l5TtZECz0zjv6PZVDQ4YyNGRov2PMGjPXpvcONMLDw3t4WS0O9WdxqH+vcUqjgdDT1E19IS59OHHpw884TqNTMfki32XFgMgRVOfLNWi1YT71qjcBUKitvHul72BEo9EwcaKs+VFqd/JcfglGpZJ7fWh09IeSkhL2bd+DMcdLohSDTaVgxEMTEZQKFAqBtIld7fqnSmDtTY14PR5mLr+htygcoDAYetlAnILRaOTaa6+loKCA5ORkQkO7SKVOWzsqtQaPS344Bet9dMv5BcL0v/T5ffSDgtD7UFXWGdWMW5JI5s5KYkaHMnp+PM7Uh6l/uxBR8AIqglrzGZVVy6gsiNuyGUwR1F99M+qoKNwVFVT++S+9slSzr/0j065Yjkqr7cUB67M1O2Ko/N/pOPAuGEJ4uG4xm3JctCXPZVXCNL7e8iJN028iWVOFUXEI154V6C6aiSbSSMqtIzidCjzM5IepuZn8o0exNDVibrUygELCPnuwc0zWrm3UFOYjiSKb3n+jV8DS7GjGoDbQ5m7DKbp5v6Kequnz8WbsJS42liuuuILKykoUHh3tXnPnAu9u1dcMmCBrqLgkHY8MeBZN404CNZ/iViv4+YQfk1s97Kv7mJAoL8G1ZvQtbeTERvHWaxVoPL9QH3iITXNmE6I5yu2JdVzlnofB7eV59aWI7k/RaEtpULfxhj9c/VMcWz9+h/RZc3qokZ/ctpmmqgr5+733OsPnLOjx/TZl1xBs1FLf5uTNbQVywGJrhKqjcubO44Cs72X39m7YVVDPK5vk1nGKm3h50mn3dF02KDWyCjYwLWYaGy7agEf0EG6Q553rpsgNBHk1Vp78Sc6w/GVeKgH+UQQGTiGzMZ9HhKfwlrTyREkrxycOJuTaZUQfyqDcIosAjl2UQL29nulNQzkgFNMq2En0hFALKDV9C2QCKJWqTu7KKSKu6gySFv9p/B6w/ApIooig7ubUTBeHpeRYBhq9vl8Oy9kg6MpBtB+oRh2iRz9MDnxmpoXy9o5C3A4PQ4aFsPjK4b9qn4IgYDB0dQV0D1ZOQasN576QWr5u30fUySFoRCWpCRYU3XQe6uvreeuttzpLJQ8++GAv/yiNJhil0ojX29ax3561eqVaQW28nlqXmxRHt7q4ywYFmyAoCULlFaDSqEEdZcRdIe9LPygI48QnCLntVpRBQSh+paPtbx0RkcMoMpmRlBoEQYO5PobW4DIC3Oeg6MPgrzseyq/gcKuNWpeHDyrqqZ4x/Kw+V5IkXvnsW3KdwWgUNqwxVWTGD2Dc0QJWjvRxvUsSLocDndFEe3MTtpbmX/dFOxAREeFTiG3Mogtwu120OJqZeV7f7fBWj5ebM0s42WbnTwnhXBrRt6aRJEm4HXY0ej9Gz49n9Pz4zm26AQMIuzOc9v3VeOrysK7+odtByl2BQddeQ9VDf0PQ64n75JPOze46G64SK7qBAahNvsuS4xKD+PiaseRUW1kyPPLM3U7Dr4A1d9LsicUhyA9fhVLixF1agsMeprbRTlimFcXJn+CivsUYAWIeewzNM89g/UXm1ximTUXo5lkWO2QYKrUGt9NBaHzvzqKbht+EIAh4RA8hEVfyYF4FImoYOoWq6cNwuVzEx8cxZmwk7kPHSfPE0CLpmBO4C0e7Ep3XS5JQyezvvsJPMiBWGLHP8TIlxo2+zo7OGMyOeAsZ+mTUbXbUTSW0x4UxvqCS4EY54DF59Xg1Bp6IWIxXMwBJEBhXGEahSubxRTV1zWGna/4kjBjFgR9XgsdD3NARnI4VUxLJqjpKsFHLW1d2qGsbQ2DaX2RSdMJU2fLgNERY9J0cIwD16Q/60ddAbTa0VcPMh4A+Am/g+qkDmDs4HL1aSahZvoZGDP8QpdWG92AXid8lSUTdcw9LkBVxVRoFgiBgJJqsgQouPj4REYndzeVoTZcSP6x/NXJBEpBONcV6RURJOKuy8n8SvwcsvwaS2GmCdrpwXHnWCWKHDO/XO+dkZQuf7i1lUKSZP4yL9Tkxqfy1WM7pWb4YHGlh332zsLm8BBv/M+JoarWFpVPXEdlyhBNOBZIIZPd0l62rq+vRYdS908ntbkYQlGg1wYwbu4bmlkMEBkxCq+2ZbVrX0MobY3SAfOPd3iGVzVd/kAMWgAXPw9gVCEqB0D8Ow11rQx2ix9beyuEvv0JnNDFyfu8V+//fMTBFRc3rG3BpzMSUb+ZH821U1Jkx++vPqqU3VKOmziWvmMZaevMR+sKG4g38EvEpBqebZ9/WEtJhATH/xfeB3gGLoFBw/r1/49jGn4lITiF95tx+9+9td5H17nY0DcCMQFJm+HbhPgWb4ORFv9UUugtJ2rGdbxZ9g0ohT2XtLU5+euM4jZVttC6N5hfkYPeO7DLOrfLwaE4lP+fWsWhYKA8vGoJKqcLa0MLKJ++jobyE8KQULnvsuc77/BTU4Qb8Fw9AkhJRhz2Pp7oKSzdzQvP8+Zjn92wn9bQ4qX0lA6mDjxTxwDiURt9B9tSUEKamnKVC9ahlMOR8xtx3GIdUjdqRxeC4ZkIjZGfm+mAtDYFOQhq7uqO2NVr5rKqB8RYDy6Nk9V5Hm5td6+pxpVzN2BvvxmwEdWRPnym1TYG/6SqsfkaSx/f217JoLVyccAvPrM/mUHY1UoQKOsjfP19/Da1T6wkIz6W6NQWlMILzYjdgttRSaxIxFylpUqj46cgg/NuaOafyIE3SCBSrvAybeBh9YA1ZpmFUt9eBEbxGI4KriYA6L3a1llUz5iFJAgFDTAQJwZxXWUto8GAiK9sZXHw+h8eOIWhEDEMaE7DNtBI5OK2XbUpE0kBueOMjXHa7z8z46PhAtv/ZB+Fsxn29tLO6IynUyNrbpnCiooWZqaEIle007q1CE2PCMCECQWeB899CtNmwHzuOztSC0iJn6a2N9ax79QXamhqYufxG4oeNJC6o9/2aptHyfEo0u1vauSQ8kKhuTuxqbc/vqRo1jZ9DmlkwKorpLcNAgPAE3wrQALbWFhAl9BaZ4+L1ehH598oG/DP4PWD5NZDEzgv+9LZma2MDiSPi+337io8OIgFf7C8lr8bKo0v6T8l1h59GhZ/mP/tzaTXBpI4eS9b2DDxOL6FxPYl+ycnJjBw5ksrKSiZOnIiqQzirquo7jh7+Ky1FBvyCprLg4ueJCI+BnPVw/BuInwLZPyJVHMI46Go0xvPo1WhamwXBKbL678nvYKzs1SKoFGg6yl4b3nmN8qwTONvbOb5pPde87Ju/0h2SJP3b9Tn+V/AbnMb4G2fQvns3nlsfZ5wzjHkGDTdOOztNjceSoxhlNmBUKVgQ3PdkdTo+O/4ygW2xnJtzGSdGB5KW/QnhtQfZtf8uWLDH53sikgYSkdSzY+a7vO9YV7SOmbEzuTS1q35/YstOAqrUsrLmz+14p3lR9mNLkFGbQWGLzB3Jb87nmV+O8PMxK+lJgbSZ1fjhZLDLQ8OWQ2hnpODsmGibv87lNmCVKYPVTV/z/acunk75O8UfFuNolh/21fm5ONvb+yQjCoKA5dxuZRFrNWx7Ri4PTPsL6P07N4lWV2ewAiDaPH0GLP3BafdQX2olJM6ERtcxB2hN6MeEMGmrB49LQWF7KAfKxzAy8hBKhchmQyxx8/7GeMApilx9vAg/pYIfaptp94rcGhdGxoZS8jPq8Di9FB6p89nddeT5r7FqRoEAh34uY/zS3gHqkz9lcaKilepWB9psWKA+yQUbfiCyuYET2tdh1GvkhofSgoYpkbK9gAMl2fEJePwaOH4yBec4PcOG5JCz6noAwrWPE69qINy1Bw3JuDqYq5XhUfhplnP3nwy06/yYoVTwamICI541kO1KxkkVlXol81+YRqwkUfPSYWz1cpeT51Y7mqje6sc6gxGvVs9FR/LZ2dTG1VHBPJkchSAI2Lwi6+qaidJpGO/fv3LyKTQ1NbFnzx4sFgtLxo9HoVBQ9dEhBLUCW0YtnmYH/gsSkdxuii66GFdBAQCJa9egHTCAY7+soTI3E6/Hy8onH/LJMzm0vph93xciSfDQX0YRHtg1V/9Y28wRq41LwgNJMejYXVDP8g8PAPDY5jyKn17Ya3+nI2/fLrQoMIXIWR9RFJF+D1h+Y5DErpTYaW3NCoUC6TTRtNOh1yipapHbxM4mU1JbXEjunh3EGlqITYyGQUu6VA9Pg9vr5vPsz7G6rFyRdgUBOt9GeGdCaJyZZU9OxGlzYwnpWTpSqVQs9tFBUl3zAxmrY9G0aoA8igseY9ktN2P+6g+IksDuYzlMVhxHAKYfeomJU/zQKWYwbZuHN1duZdrlKaQteRX7hrtpirJQM8TMUK8DpbJnCl2hUHbqWKjU/U/8Xkni0x9fYHDeSvIjJ3HBxc/2Tst2w+eVDTxRWEWgWsk3w5MI1/bmFVQ73dyRVUq928NjyVFMOG0Ca2raS0Hhi+h0UaQOfBSV6rQ20LZaOSCLHiuL5vmAy9VAbt7jeD1tDEj6M0ZDzweE/wXn43+BTA5+xNcO+oFWoeCSiL7bzbujqKWIlbkrSQlMYYJZjaFhBCrRjKRQkTloOYODthAiVZ71Z9fZ6nho90MoBSV7qvYQoAtgbvxcRFFid95GZgsz0Es6mpVWehSBJEluS67LgTHXYdcnENM2kCH+6ZxsOsYshvPhplLcSi2l+22QHoBjnAF7YDHTtV9xQ2Y85Y5E7q3vMsscIfzIsG0i+dEiq0p/YbRqBoIyhAF+MQwKnojtxwp0FxvxNjVQ89TTiC4nYX/6k2/ri5/vh8ItYGuAva/38MNSRxmxLEjAkdeEeoiFgrwDhIsp+If34TfkAy6Hhy8f3Udbk8zXufqZSbQ1OTm0rpjgEC1vXxFGWcU5aI40QuYwhMw/YEn7K16VC/bcz/GUxagEgUC1kgqnnB2N08tzjyVEj6fDTK8v36hwbQN5bjsetYEQqn2OiQsysDFL9h8L0Sv4yT6Yn6YP5m/ZOznHqMJVdik1lo28FpnG+ZKA0KEom7D7Sc4f3crgOUe5yvQpx47MQkcLIha2NdyGavSNeJWbiChPY1VAFk2qalp0NexQFmLT3g+AI/cY335cRnhNFaqwaDwqPU67F0Eh4G334Km3I6gVSG4RZ0GzHLDsfwc2PwY6f1i+DixRbGuysqNJzsZ9UFHPAwMiMCiV3JJZwk8dzss3RIfwSLLc2lxVvZqCgufQaIIZPuw9NJqucs6qVatobGykvb2drKwsrr32WhR6FZ6O31AVIM9r3pYWXAUFnV2G7bt2oY2PJbrgffZ5TICAKsjoUwTwxPYKLKF+NNfYWPfGcZY/K3dB7W9uY8XJYkB2JC+ZNpQ2R+8uvP7gdjo48MNKZpouQ9NBCfB6vUj/BxZ+vwcsvwJC9wxLp9KtfKObgoJprqnq9/0fXzuO7w6XMyjSzMzU/nUY3E4HXz/yV5y2dvYBi6MySU54Am495HvfmR/z2pHX8Ige3jr2FseXHf91X64bdAY1OsPZm9EZgpeC7U2sejcmu5rDNfm8/cRmtjuMvGBYyg5hCD9qHsAs2PAKCu7c8Da1Zc1UWGbhFQU2f5xNyj8msntgG2p1GG7rAfILnmZgysOdn+FxuYgZnI5CpSJyYBrDz1nQ9wEBm3MKuPLw49jQMjonk9wt4aTM7rvj6dmiagLUSvJsTs7LyGPv+EG9xnxUUc/eljYcosTSjPxeHJCc3EcQRSctLYdoatrDlMl7uzY2lcCbk8EptwnyYH2nG2t3lJa+R339RrxeG/UNm5k1s6Df73k2cIoin1U2IAJXRAShPwvi3C2bbqHN3UZjZiMXDZjH4mFNFG5QIwGp4bmEzpwJc58862MwqA0E6gJpdDQCdHZtVbbY+aU2lCGmm6lQBTPVkY3r5DbqXnoZVUgwYRePRLlWJjS27fmWL20f4Wz3MJnreNzzJa6dO7ieQ6yY9WfKTaE4AzQMqC0nvD6Po9IQcvQSQ9pKMKSOQ7JLGCvv5MGVzXhdCnR7oSkpn9y4KYimPzAyUIPKrMF+rJ4mtRJXzje07diBaLXStnGT7/Z+vyCwN8t/ByX12CQIAqap0RgmR/DhXTfRVCXrvlz4wOM+CdgFBc9TVv4JRkMyI0Z8jFLph7XR0RmsANSXtbF7VT5et0jL0XpujzZSNT6It5TNsr4IAghK6Cb+qBQEvh+ZzLq6FkZbDIwwywuRtEkRmIJ0uOwe4of55k8MfOZ+gr75DilAQdj5l/kc89f5qYyJD0SvVnDtRweID9RT3Ghnzbg5nNMCXlsgisMjmajJZHfsnznPXoKpegwKUcv8Y8cxqp3sc6wg1GrBoq4mQHkYy/DVFMbKD0u7cQtKTyXtTgUgMDkogcr84wS1txLb6MSrisSvvYrQ2oOgVDHrRbkrTGlQY1mUiO1gDbqBARinyMEG254BY5i8ePj0fLh5H6PMBiK0aqqcsiGmtoMTVupwkaDXUGR3sbGhtTNgKSh4Xv59rCc4cGApkybt6DwfarUal0vOIRuNRgRBIHjFUOzH6lBHGdEN8AdAFRxMyJ130vLddxinTSXgyiuhtZI491Hso8PYrDFSa3Hzw8p5bLpoU49znj4tmr2r5blhwU1dxGxfS+bZaWE8dO4gcqqtXDWxf785SZLY9N6btLc0ownSI6jkIOX3DMtvEIIkdpJMJa8IAp0Etbj04ez66lOcNhtaH6RWgCh/Pe3xRu6prmd6tpPnB8b0aJHtDkmS8Ho9CIK8yPRICmjI7/vYBMH31doNrjIr1p0VqMP9ME2L6UGu6w+Sy0X1U0/hzMomaMV1mGbN6rE9KepcSqZ9huZEHbkxbWS4F/Hk3pW0DLiPPF0Q1So1k50vEyk0cq3qSYasViNajlE+dCooNcSnB3GkTeQvyrexu0Vu5znGRfacHDd/+BYnNm9AkkSKj5Xidg1m7KK+VXfXZjSRIoUSJ8jW8FHJU/v9jnODzXxUKZP4TglEnY6RZj+cHVm0eH3vDInJOIjqmtUAREdf2XNjzcmuYAXk7gAfAYufXyJer8wRUSrPnIIubS3ly5wviTfHc2HKhT7Jt88XVfNmWR1uSeKBvIqzItsqBEWnwqZBF868pXfjOMeN1yNi8J8J3Nj/Dk7/Xmo/vjr3K/ZW7WV02Gii9JF4rS6iLDrCYpK4v+xe0vTNLLznj9QsX46noYH23bvxZqwmpsPYuNETg7O9a7Vo3X8Uv4AAvE1NLGg/xCvnXQMqBeMKD/BV2xD8El5BoWmmLAjS1hYxLfoCnJrHMSVtw5X9NSJKgmpKGZd/D8qAAOx/eB57eQNBmDCMCQNnPKJVFqlTneYSXtRSxBfZXxAXN5jLQl9EodZDuu92da/bTUttDXqzBXtrCxXZJ3sFLB5PG8Ulb6BS+dPSmkFB4YukJD9AYISBEefEUnikjpSxYcQNCeLEtnKKj8vXqnnv9wyvaqdk0pXUtrn487xUAi3fUdFWxtiILu+caJ2GFTEh2LMayP1sN0fyNxCQGsOsa//Yi6/THXtEBU8Mn0ikTs0LHi/+PjrLVEoF84aE81BeBfYBZooKrUQF6Hnrpgnoc1o4uG8LRc0NmN1eFIXVZOjCsOgaeD72Gaa1zcTeqCOofgSiSqDWrcI42Ms1bUMw5XmpLl3K9MgMlqcUUe1WkBQ0gpSQaWze8gutdbWYwxagjzUx6sEXCAhQIOj1tNRUc3jdj8QOTid4UjymSafdz2mL5awdwDy5o9F4NIONNiut4ycQb+jihD0/MIaXSqqZGWjmgQFd/J6goGlUVsode0nJPbksF1xwAYcPH8ZPqyV5QIJ8jvy1mKb2Ft8MvuF6gm+4npITDWT8UkrK2DCMU+6mPf8rHHoJJKi1ydkrSZKoefIprOvXEzl3Lte99BdUGiWKbvP4OH8jbw6K44jVxqURgWgVCijazjWaHFhwAfj1Xwrev/obTm7byLyb7kTYInR2wXq93t8Dlt8cumVY8Eqd2RWAAaPHse3T96nKzSJ++Cifb69xunmppAa1IPB5VSMDDTpuiPHtzKvR6bngvkfJ3rKOOO9JkmMTYdZDfR7alYOuRK1QY3VZuTzVt79Qw+dZIAjYj9bhrmgj6A9yFkGSJOrr69Hr9RiNvR+S1k2baP5CvjnLb76F1KzMHoHCkV/KGHz4amrdr6B2DuZAQChpAckoglKYpSmiVgBJVJCuaiT5xzBcajv+LQWM2/cAO5ZeTmRqOq8W++FoO4bDWcnDxru53tiT/9De1IjebMHW0oSzrZiDPxWj0asYcY5vc74RcSEsPvoYExSZ6BPG8lJc/87DT6dEsyImhFCNGnMfao7nBFvYOS6VZreXkebeQWla2tOEhy9Gqw3vtJXvRNJsGHY5lO+HibfJTtU+EBl5IXp9DB5vG0GB0/o9ZoC7t91Nra2WRkcj+6v38/y053uNsYsiGkVXx8LZ4B+z/sGqvFWkBKR0epPojL6zbvUNW6ms/JoA/3FER1/VK4iUJIn27dvRuN14mz38UP09Q5uiiG8PQh3g5E37FTg0anSiG/zuwpo0APtRWeNCPW0ZnDcI6nKIGno5qWvaaM1pJD1MjyHqDlq+ewF3aioHByVy2Zp3yUweznYGIhiqUWiaO49h+NCjVNouJF7UoU6Yy06/ChKaWgnKljtJaqdPZ2PdL6CF2OhYromfgibucjQJ8UhOF8ZpPQPeu7fdTbOjmTp7HYfizuHF6S/2eS7VWh3zbrqDYxvXEzNnARMu7H1/KpUGAgMm0di0C4CojoBdEAQmXpDExAu6sjdzrhtC9k/HaHv6QfxbCiAfnrhgCaaZM7DZSsg4sgyHo4Ii23JSkh/ofJ+rzErDR5n4oWWi+ly+3fQCKrWGGVdf3+exP5hXgUMUyaizsaupjewpvjtLJEnig4p64gYHU5hoIi7QRLBJB6N1hHviObJebssdKSYz0BqGVlLzZcuz7F5ehcXpz4n3HAhOPwTgu5BsDPZyrN5mDClZrFCnoS2djzFhHbQfIrf9EK31Q3DZvNQXfdOD4+F2OPjsgbtxWOXFwSWPPEN06uCeB7vwBZh4CxhCQGuieeUqqu6XS0wKs5nsjz6ksbGRYcOGMdxs5KP0RLmV/NW/Q+gguOhDUgc+Tkz0VWg0IWg0PcusBoOB+CB/Vj35N7a6XQycOJVzb/9zn+e4Mq+JNa/J1/ue7wq46Y0HuWfSLfgffxetUst16dfJv19BAU0dHWhNn36K37ixmM/pLRZ5XlgA54V1UAKKtsNHHQ0KP93To2TpC16PB0GhICAiCsnb0CnNL4ri7yWh3xoUSKi6ZViEbt7i5pAwFEolzTW+67wAQWoVgww6Mjv8aOYE9R/tRqcO7n2z9QG1Qs2Vg67sd4zCqOlsEVaHdz0wN27cyK5d8kS5ZMkSRozo2d6nSUwEtRr6UHPdfLCS8qFBhJ64GI+2DO/UWA63GZgsQNzYN3jAKK8GD+w/j9WLz2Wo1Z+sWgdV6nJis7eyOXszA8MCOTAqAz/Az7oe6NlZMuPqG9j99WcUn7AiIstQRyb79/ldl02MZ0SsPzCXodF9jzsFQRBI8uvfuRZgQD9jFAo1QUF9BBkqDSx944z7BwgIGHdW4wBUggq3V/5d9CrfDqx/TojAT6HAC9wa6ztABllddvv27Wi1WqZPn84do+444+d7vQ6OH78JpdJAXd3PiKKDuLgbeoxpfO89ap9/ga0TJlETJ68yN1LHdczC3aTFqVWjE7qurYiHH8Y0axaq4GD0Q7vS3Upg1lVQ/dwBJLsHb3s0IXd9jDTNwKR7ZOG56OpSts+eRYNnAG7rEFSmXAZXDWVH8UzmBu8E5JT4vX+4DaXHzXFnNcqgIIpbW9FkZOByuSjtsFAQBAHjpJ7O5aegU+qweeRMmL/W/4znKW3ydNImT+9zuyAIDB/+ITZbITpdDEpl3xw3tVbJ4AWDKH5fgbPj+eM3Su6sqq1bj9Mpz0FlZR/0CFg6xS67IeUM3mfDzX58USWX8W7u59oRBIHlUUG8XV4PwJPJXdmEcePG0dzczOH9+8hq3YkgxjPYMAaFoOTigRdz1bqraBvlwlQWRY2pmLnxk9lzYpv8XnUy0cduwWWopCnuZ1DI38HrloPv6EE9Gxc8bhfO9jaUKhVejwdrQ72vg4XALpNUV1EhCj8/RJsNsbWVr776CoANGzbIVhaSBOv/CpZoyF0P316DcNkXvRcl3VBwaH/nwz5n9/Z+AxaXvbeKdqAukD+P6fkedVQU6thY3KXy9el32jztE221Zx7TDeOWXkzh4QNs/fgdpopLTysJ/e+tB38PWH4FBLqXhKTOHxNk8bWQuASq8nN6iSudgkoh8NOoFE602Uk16DD+l30ZgpcNwn6sHlWoH7ok/87Xc3NzCQgIoK6lhdXff98rYNENHEjiD9/TkH2M0Gmze6ygyx0uXp2gxykAaSO4pnEUA3dXYjK4qYzYiKojWAEIDi6hvHwIx0zNVKonoKopx6nQ4Cc6EFwwqXoSTZomMgMyOR3+YeEsuPVuHO1uKvOaCY0zYwzon7h8NoHK/yV4vQ5ARKn0XVL0hZdmvMTKvJXEmmI5N/Fcn2PMKiX3dUtn94V169ZRXl5Oe3s7+/bt46GH+s7onYIgqFCrA3E6Zf6Wn19CrzGukhKUFgufzzqX6QVHUXZrhz8i2qj1zsEsWHnVcx7bAEGtxjSzbz8ihZ8aZ6WVfLzEmtRE+gegM5pwtFlBkni55CUyg9P5hZsYsb+VhvrPcPMVa9s0pIcdYPV0P0RhLM8NHYAlQs68jWtspLKyEofDwaJFZ26Zf3nGy6zKW0W8JZ65cf23bZ8tBEGBwZB05oGAQqslYdVKXGXlaGJjEDo69kKCZ1Na+h5udwNhYT0J8tp4CwEXp+AobqYtqI3rh3+In8W/3895fmAMF4QFEKZRk2zoO1i3erzkHT3M0v3b0cQmEjO1KxMjCAI5OTnoqksQmxrIFEuodOew/BXZG2xC5ARer30dok9y+8jbuXrw1QwOGoxaoWayZTw1Jw+hbY8idv8DaJZ6CE88l/EjNThtNgIje5Z79CYzi+64l6xdW0kcMYa0SWfOUgZecw3uqmoK6ht5bdRE0hrLexY/BAESpkH+Bvnf42864z7TZ86h8NB+WmqrmXPDbf2OjUsPYsolydSXt5E+LbrPMrdCryfx+9U4c3PRDhyIQnfmBZYnaQHKaX9FqM+Rs0pngFKlYuLFl/Pd049AgtSp7C6Konwe/sf4PWD5FVBIUpdQmkfsURKSJAnR48Hj6u0M2x06pYLRv0ID498JpVGDcWLvB9eMGTO4LbOYE0Mj0eJkUd6rjE6+tXO7KIncUfAsO2t3wjcPsO2SbQTq5DRordONq92N5mQzAJ/bXdyoyOSQvp2EwExiPDoklZxRaiyXV7c6SYuQYmFT/EIuqDrM9NQYdhVXEKeG8JZwlkQv6fM76Axq9oYpeC4rn0itmk+HJhLwb5CLliSJ7D1VNNfaGTI1qtN997+FhsadHDt2I6JoZ0DiPcTH//Gs3hduCOfm4f3bxZ8t/Pz8sHc4TkdGnjnAAdlXZfSor6mr34TFMgKzqXerfvAttyC2t+Ov0fLF2HMw29uZZf6RHGE59g1v86TnCjzA+SN8c4dOR9CyQdz38WG+Km2FPbk8H63nqudepeLAXpQP3IXjmIFBgdlMm/EBzabbWdMcQLunieH+RcwM2MQ5R+E1SwzCzBOd+wwMDOTaa7sUj1fXNHHMaufyyECfmbdQv1BuHPbreDy/psXebrej1Wr7FeoS1Gq0iQk99m0wDGDypJ2IorN3lxpgGBmGYWQYgWd5LEpBYILF74zChLsbWxm0bS0e/xBUxXn89N6bLL6+67pMS0vj8LEDnQ8cQa+k+dsvaV23jkvmzGHOktUY1IZOldc58V3moKE3DsOR20Ro2ohOiQOtFgz+vjshk8dNJHncxDN+t1NQBQYS9cLz3HQ4j3K7k9b8LCz2Nl49v9vC87IvZXXbwARZRfkMCIqK4ZqX3zrjOOgwG5zRW+PGFxR6Pfphw85q7IEfV7Hj8w+RRJErnnyJ8Khk3O5WPB4ren3f91rC8NH4mfzlf3RUEaTfSbe/PSiQOrVHJK/UoyRkbaijrrTYZ33616K8ycaaY1UMjbYwcYBv9v6/E1HJKZyoceEntWMTDLxR1sAzgVsJDpoOyC2pOyt2ohJUeCQPPxb8yLLBywAYYfZjWI2HfLu3s0UyUFfAeDJoKDbT6JdESaCaz1jGpglBbNmRw3F1LQZrIQ9PG8plw2V+ROZbb1FVJa/S05LS+j3ex/Mr8XdJHHK6ufBALpsm9u7o8XpFMndU4nZ6GTI1Co2+/0u94HAdmz+W6+yH15ec0XFYdDjw1NWhju57RfRrUFP9vWxgJtopKHz+rAOWfyfmz59PVFQUWq2WwYPPrhQJoNNFEnM6ybgb1GFhRL34Il96vKyvrUVR8w7mmmM0Z05h6FQlu9KnIJrVRFh8l7ROh9KoYV+7nYRgA0X17Ty+JpMLHjqHSNRUWOUFhaNRw1POc7lcJaIPb0Z0OBg1diBUNYCjBaGlrM/972yycmOmrMvyelltD3fufxYvH3qZj05+RJA+iK8Xfd0Z8PvChg0bOku0N954Yw+LCF9YlbeKp/c/jSRJfLbwM1ICUlAofLfNS5JEVva9VFV9i9GYxuhR36BU9n3ev875mmf2P4NLdPH1uV+TFuT73hxl1LE7MByFx43XaKFB7BngzJkzhyEDU8jdsQVTQACDh46k6Bw5M2U/eAh/89/RT5oMHWs5UXRTWfUNkuQhMvJizDGxNNgbcLS14K8PZ0N9K/F6LcNP45K5vSJfHyzD6Ra5dGxMp3ZVe3MTCpUKjd6PvLw8TCYTESHhSC5vpzbODaF2Hix20JqSxj+GJRHaPVBVqnAFD5NJrn3/FP+S7pOzpBVvixN9WlCXono3tLcXcPTY9djtxaQOfIKoKFnLqLy8nNLSUtLS0ggICMAjSuxpbmPXrh2EhkXQVFXBqqcf5g8v/IXDGVfg9drw9x/HqJGf+zwOQRCISEyBVjqrCF7RC2ehpv2fxu8By1nC6xVRCBLq7iWhbhmWqrwcAKJSez88T8HprOVk5t04nbUMTHmIwMDe9XFJkrjsnb1UNTvwiBKBw4OZPSKSJ5OjUfXT1eOuqqLiT3/CU11D+N/+hnGKbxdjXzCrlCwONvJDR7l3Pj9iMnatjkL9QlmQsICfin4iwhDBBcldCp+CIHDZoAj+li/Xuecp9vEH6TucgpahYjZry4fwD8W5JFaVUxGnY7Q4gNH2AQh2Ab5uguHyfq666ipycnJ6efgA7CjfwZG6IyxMXEiiJZGpkprVCjlrs2J3M/hYTGX8UsqBH4sQRYk93xWcMQDprtp7Jrhraym+8CI8tbUo/f1J3rWz06zxdIhOL47sBlTBfj5Fq04hIuIi6url1sXUgY+f9bH8anhcULBZNtM7zadGo9Gc0SBRkiQQe177ZwuDSskFkREQ+RBezwM4J3rwM/d8sIoOB4JK1Vni6Pxcj4in0YEqWI+gEPjzvFSeWpfFkHAvKwb9jc1b/khqzIcUjb4GZU0Jta5yPlcG8RltvLdQLjEKAx/i8EcSLjwMv/YR/pkcmuSVaN1YgruqHeOUqM4WVbu9jOzsBxAlFwNTHu7Bb3CLbt4/8T6hfqHU2Gp47sBzPDXlqT4/4+DBgwQHB1NfX88PP/zApMuv5KOKeoaa/LgiIrDXA/GDEx8Qog+h1FrKZWsu49CVvqUPAJzOKqqqvgUUtLVlUVH5JbExy/sc/3Hmx0QYIyhpLWHZ+mXsv2K/z3FBeh3xcXGUdPAr5izqWY5qaWlh3+EMlOYgxkyfhQZQBgfjra+nLiidLT+rkNbvJXFECPNvSKe4+B8Ul7yOJHnJzX0Ev9RPuWnTTXhED8qYp6gWZI7M/YkRRGjVPFFYRbBaxcxGiXe3FeIVJR5dk0nx0ws5tmk9G975B0gSlsnnUN7QBEA6cYxzJKFPD0azGLS5F/AsMkcmQZfd4/j3/1jIgZ+KQYKL7xvTZSnSgfImG1d/cID82jbumZPCLTN76idl7qpk/49FGPy1LLplWC8Cuz27kYYPT3b++5RbdndUVn3TyU/KzrmfqKhLaWho4P3330cURX755RfuuuMe7i6o4cdWK8xdxsxdaxlVVcGSex6goXEzYod7fXPzPp+/4ykYA4KhFThl9iuKvwcsvyU4OginqlO8E6/YmS4DcLa3gyD0WxOuqPiClpaDiKKLjCNX+dTYkCSwOjwEGjTUWp3Y2t18XNmAKMHzqX2nDZu++grH8RNITidlK1b41ozoA4Ig8HZ6Ek/am1HYczGbt6NSGXpsf2bqMzw++fFeAkYgE1yHR2lQfriARH0FfjYXfoILJCimjNm71pNUYWT9doGw8ESm6y+S39jBAaxoq+C94+8RqAtkRciKHvvOasjipk1yzfjtY2+z57I9vBAUzCXf5RDqFLH45gEjejpI0WcQ8zuFpFGhuOweWmrtDJnWf2nCfjgDT61MZvM2NyO53X0GLA2fZOLMbwbAcm4ipsm+9x0QMJapUw4gSRIKhe/bsqXlMFVVq/D3H0t4eG8Bv17H6fJyzzdHOVHZwi0zkrhodAx8f5OsPgww7V62DruZMoeL80IDMJ2BU+W1uqh75zieWht+o8IIvOh0O72zg7XRwcpnDtLe4iI0zsRFfx0DQPO331L1yKPgdhPzztsYp8iTtuj0UPvqETz1HeWqRyayID2CBekRPLvrL9zvehaz1MA1Xx9HCBuPwziKOoWIJDjRqUVCQxcQHn4eWTtr2H3Cgej1suuee3spiDY3H6SxaQ/DQ+fxxqA4jlvtXBYR2CO7Ys+sx7pFzs44shuJemoygiBQUvIWrdZjeDyt7Nu/oMe9rVaomRc/j3XF6wBYkd7zGj8d48ePZ/v27QAsXbqUuccKkYCPKxvIbXfwaHLPa2hB4gJeP/I6QL/dSiB7e/n7j+t8YIWF9c/XWTxgMa9mvArAy9Nf7nOc1emhLnI8Oksq18waSuhpooobN26koKAAm83G4cOHefjhh0lYtRLbgQNUV0eiOt6K2+GlMKMOAI+3HYVCh9fbDsDOip2oFWo8oodaj5oki5Z8m5Of61uocrrxUyg43mantMyKRqnALnYRWXP37sLoH0BbUyMV5eX4R0TR3NxMjlTBOJKwH69Hmuelc0ICTteIOLG9goAwP5qqbfzy3kmueGR8j+0/HK2kuF4+1ud/ye0VsOxdXYDOoKa2uJXVL2Vw6YM9uxY99XaZpNvPfBUcPIvycrlL6NTv5nA4Oo0JBVHNyqcy2DXJj0AJGs1KcmYs4dO/3otCqcThsGDN/xZdVT6mkf0btvoZZaVnobMkJP3OYfktwdnhwdKjJNRNHVJQKkCS8LjdqHy4GANY/Echlcg3kl7vux1XoRB4b9kYPt9Xwm5cFAXL+zovzL/f4/MbM4aGd94FQJvWf0kFoMHlYUeTlRFmv07ly2C9P+h9t/9aPV4cIoT0ITAbrN5B/aB6HBUS9f46Yoc+zBprAR/UbGVSgRKHxoufU0VtbTG6uYG4K9swd3gmPbz7YfKb86m31/NDwQ/8cuEvnft1iz0jEhER8+BgJmiUeJuc6PsQvBo5Nw5BIeBxeRk+2/e57g5BEBg8pf9ARRJFqvJz0MQkYJh5Hc6coxinpSBo+yb/eursqEL0eOrsOLIa+gxY5GNQ9jknyEGuvBKuqPwCt7uJmJhl/R7vL5nVrD0ul9n+9O0xLhwVjVCTKXdINBbiOPgBlyKX5P6UU35GfRZHdiOeWrkzxnao5qwDlsrKSo4fP058fDwDBw6kPLuR9haZ61VbYu0c1/TV16hDQ3FXVFC24vrOoNtdbesMVgA8tTY0MSYqKyv52LkINS0UCsnkKsNI6nA6jwj24+lzU0iObWRf3TBmqhOQxPo+0/U2WwmHMy5HkrwUFb3M/Em7WBrWm8ej8teBQC/NI7N5GBWVX3T8PbzX+56Z+gx3jb6LIH2Qz6C/O2bMmMHkyZNRqVQIgoCuoJ4al3wfBKh7B5V/HPZHLkq5CIPa0Gen2CkIgpKRIz7F6axGqw1DEPoPUq8fej0Xp1yMXq1H20/n0gs/5/DtoXLaXV7e2r+No3+aiSlQ16n1ZDKZsHV4UIWEyJ496tBQLAsXMqyqnZqqk9hbXcy6Wp67EhNuQyGokSQPcXE3MsDeyu7K3VS3V3NdjJq9Lg3TA008OCCSh/IqOjWUnpg3iOKT9Tg93k7LitELz2Pd6y+BOQCl0UxzczNBAUEsdo4CpxfzvHhMgVEkJtxBq/U4MdHLepXU0qdHs39NEQBzV/Qul84YGMqbWwtodXiY5sMTKm5wENl75ezI+PMSe203jA3HU2fD2+zEPNu3uFuA/ximTN6Lq6EZnUnOQkdFRbFo0SKKioqItqRyaGUtt5508E2ajtFNInenafjH66+jVqu5bNFMhu7NAo8dCh6D8KUQ5NvWw2iRjUIlhXyhi9LvpNvfFBwdE4amg+ApeXq2NYfEyuS32qICIlNSfe4jKHAyE8ZvxO1uxmTq2ylzVFwAo+ICsHtFDrS0M9CgI8yHVHx3GCdNImnDL3itVrQp/T9IPKLEwsO5FNvlh8bK4QOYFNCboHcK+5rbuPRoIXZR5OLwAF5J631DWcwjyAsNoD7IhkKhpT7tKl7KLsBh07NtTAOTCi0siU9g+iV/QKPvWXc2aUy0dPRnJlh6dpkMDRnKM1Oe4XDtYZYmLcWskSN/XXL/1gMqjZIxC3t3rPwr2PLxO2Ss+5Fp4RcT6j8a/ZixaBKD+q1ZB1yUgnVbGbqUACzz/5XjEVAotLjd8sSsUvn2uumOIVEW/DRKbK5ubZMLn4fNT0DMOFYNvxdlSTNnK8+iTfZHadHgbXGh6cc4rTs8Hg8fffQRbrebPXv2sGTJElLTBxMUbaShvI3BU7qCAv+LL6L60ccAiHm7i7CoiTahTw/GntWAX3oI6igjXq+Xjz/+mPC4QZwIlwPScVekEZfdht6kIW1SJFW2Ss79bjke0cPfD/+ddYvXMlGpxGW3MXJBT2K3KDqRuqnDSqLv1J0mxkToTcNx19jQD+767SMjL8JoSkMSXZjNvdtNBUHoJJSeDdTdFj1fDkvk25omhhj1zOnDA6ovp19fEAQFOt3ZkaoB/HX+ZxyjUytxeyVUElxh1fLJA7LH1IqXp6LRqZg1axbh4eEolUrSTltQBVat4lL9kxAehd3zNm37XPgNDyEpqautN14TyHdLvuv8d/f8wNMp0SyPDiZUoyZQrYLonq7c8cNH8ce3P2X9+vUcOnQIvF4amhqI/duEjvMh/4YJCbfSF8YsTGD4ObGoVAqfgptpEWb23jeLNoen01G5O2YuS2PY7FiMAVqfKuIKjZIAHz5Np8O2tZHWjaVAMQEXpmAYHcaoUaMYNWoUHpcX6wkXaTXtLNorB4ff5m3D5nThEu189M7r3EZX4N+p0OwDGo38HSRJXgBIoojwe0not4NTGRb1qdq6V+pREgqJS0BnMJK7d0efAQvImZW+siu9xioVTA3sO5A4HerISM5GUN8pipQ5XASolDR5vBxqtfUbsKyv7xIb+rq6yWfAYjSmMHHCVhzOKkzGQVxxrIg6j4J68wVghpUxkBAfzhx975bdRyc+yvcF3xOoC2Re/Lxe2xckLmBBYv9S/P8qJEniUM0hRElkTPiYXkFIm6uNg4c2IZpUqAQNTpcNvcqIt7Ic6Ju3pEvy79FC/s9CoVAzauQX1NSswd9/dA/+U0utrOZrCe2pxjogxMjWP02nrNHGsGh/+TvFTYTla3GWtLLI6aE4Wk2Z082tcf1bRQDYRciKMqGLUzJ66dkZLgK9zqXepOHSB8YiiVKPyT/goouwLFrUi8MiKAWCrjgta+iV/bum5h8lrTyf86ZNZVZiCCR2rW6dHicesUsZ163wMnaJbzVaozGFIYP/TmPjLsLDl6DX911+1cSY0MT0vl/MpiHU1dXx4YcfIggCixYtIiio6+Hp9YrUFlvxD9OjP5MJoihCZQaYwom1RHFXfP/BTrHdSZPby3DTmZ27RUmkoLmASGMkBnX/HYseTzutrUcwmQahVve9SLjznBTCLTq89U6c67o8pmqKW4lJDUSpVDJ06FDfb974sNx5U34AZen5NLhepfm7fJ88Dl8QBIFUw5kJ28OGDePEiRO43W7OOeecX02OVWv6z0b1Z1ArCALB0Wdnntgf7CcbUAbq8DY6aPo2F8PorvtWpVEyfriVxp/qUSplzRx7gx6Xnzx/e2wqfmoeyABjA9mtIcwLH05fOTOVWgt48XRoPCH9zmH5TcHekWFRd5aExB7EQ6VKRdLYCeTu2830q/qvUf+vYVApeSU1lk+rGpgSYOpXTAzgkohA1ta1UGp3cpmk5+WNuVw6JpZwS7eVhOhFow5Eo5En6An+RjY3Wnvs54pI350RRo2RK9Ku+Ne+1L+Iz7M/5+n9skz34KDBfHnulz22f5nzJVsSSxmRaeZ7z7fc5JeKVlGJqf07oOm/cowGwwASE3vWnk9u28T6118CYNg585l9Xc8W5wCDkhcynuH2Pbs4P/l87hx5J7aDNTStzANgeaCW4NuGou5H08Hb5sK6rZyCY/WUNjlpb3WTsb3ijERmkEuoV111VY+S0Cn4Wqn2py1R1mjD30+NSadGqVRy9dVXc+zYMWJjY0nxkVWMagziL3XXcVB9nMXp5/XK3p2OsLBzCQvzrWVztti2bRt1dXXYbDZeffVVWXisA2tfO0pZlnytLLljONGp/bTHrrkDDn8k/73o7zDq6j6Hbmlo5YpjhYjAAL2WXeP7LwnftfUuNpXKBO9P5n/C8NDhPseJopsDB5dis8l8nHFj12E0+s7e6tRKlk9KQPSK/FztpjCjjtjBgUT1I+7YieRz4OgXNHsiybb9jUi1hEIQcOQ1IUY109S0j6Cgqb8qK+QLERER3HXXXUjd5Sn+h2hvL8TpqiHAfyyVOTkc+HEVQdExTLzoCpQq349m08wYmr8vQGzPxVu7maoHNxB2/30odDq8bW1U3HYrkkKJIOj4xywrgdxNYP0oBFGJJHxAbmswWS3yfP/YmkweP893pt/PYEakCXu7FQsdGZaztHL5T+L3gOUs4XKfKgl1mR92LwmJopeijIMMGH32KqX/S1wQHsgF4Wfn3Jtq0LN/wiDWHqvk5s8zAHh5Yzeb8r1vwoYHZcbwjTshNJVb48KYGWRGLTowqP0I12lQ/os1UEmSsK5fj7OgEP8Lzkcdcfaut2dCblMuFq2FFmcLJxtO9toea4qlPLCd8sntQBUPle9CcNsgZf6/7RhOweVqoK0tB4tlRL8tpwBFRw6hN5mxW1s5umFdr4DlSO0Rfir6CZC7SZb6p6Pd9RUebQAq57l4G528suxCJl+2jHHnXeTzM5p/KMCR10yY3UOQILEWCEs4c0nqFCIjI89a16UvPPVTFm9tLwTg7StHMWdwOKGhocyePbvP97QfrGZG+1im20dCFXDm+OpfRlRUFCdOyPou3YMzSZSoyGvGHKyjtd7Bie0V/QcsxTshcAA0FsDGR/oNWPa3tKNRCDhEiQK7s89xIN9D28q3EWOKocxaxvsn3ueVma/4HOvxtGCzFSAIGiTJRWPTrj4DllNQKBXMv6HvcvfpKMw4QFbZABJGvcqhPYmkK0WcEugFqH/vBPnzb+r01po0cQder4WdO3eiUqmYPHkyWh/8MWujA41OidbPR+lFIXMNkXqSSFvX/4z9+DH8ly5Fm9SPeF/ZASjdA2mLZE2WfxKNTXvIyLgKEBEEFQUrJ6FUqSk4uJe6kiLOv/dhn+/zSw/BLz2E/Jn3I2i1NH/zDW3Z2bz12At4vR4uiogkoLQECQdoU/hqRCPpRbtpMFTSqC/juQyocoXztGkFX4/pO9PvarWhArQdmmGi141a97/RD+uO3wOWs4TTLde31adEyrw9hePqS0tob24i9QzKim53Ex5PW78p51M4vrWckzsqiR4YwKQLk/qNcOtcbm7LKqXK6eaxpCim/IpS0tnC0xeDffer4B8rmzN+ch7cLbcEqqteoKzsAwACxm/Gz693KUm02Wj+diUKPz2W887r1c6af6iWvIM1xKcHE+3KoeLOuwCof+21X9UJdSZcP/R6GuwNeCUv9469t9f2OfFz+ED3AUcqS3l7vR/DrK3cOyuGy8+Z4GNvPdFYWU5RxkFi04cTEhvf71ins469++bh8TQDMG3qsR4dW6dj9LlLqSspQqXVcu7tf+m1Pdk/mVC/UIx57QzLs7DhyEdUWpJAgFDFDgx1Mil35xcf9RmwCGolkluuZSsMauZcNJCkkfIqzStKPPj9CfYWNnDV+DiunnTmSVySJP6SW84nlQ0MMur4YWQyho4Vr8vV2KGe2zMg+ulEVafuyp9XHmPO4DPzQfyGh2I/Lvfqm+fGn3H8KbjdbpRKZb+ibQAe0cOGkg0oBAWzY2ejVCgZP348MTExCIJAVFQXwVpQCEy5OIWMDaUMGBnCOcvPoHMz5zG5VJI4HS78oN+hy6KCOdjaTq3LwxPJ/RPHBUHgjpF38P6J9xkWMownJ/ftuK3RBJM04M9UVq0iOGgaMdFX+xwnSSJudzNqdUCvMosoeqiu28iLW5RkVKi5emI8V06IB8DR3sb3zz2BIED2Lg/msMVUa9MYLMjzjH6BGW+H/QFA4/bj7Miuoai9EofTwY4dO3pksAAO/lTMvh/kwHbW1Wmkjj9tUVObBZ9dBC1lsvHh+D9iO3yYijvukD/jvfcZeOwoCo2Pkl19Prw/V3bC3vAg/LmoTxG5FmcLawrXEG2MZlpM72eC1XoCQVAgSSKS5MEUFEJFtrxQik7rLb64t2ovT+17Cr1Kz0vTX0KbnEzbNtm+4F1DKiu/ycQxJIAv/vo0J4uPoBs9iuGFxfyg9SMz4jsUolwWmjJ6APnT3mRfeBAmXd8EgvbCOoySH6Z4ueSkcLXjF3z2HKz/FH4PWM4SpzIsWnVXl5BC23Vz1pXIDPLwxL6JU80th8jIuBJRdPYr3APgcnjY/lUuWr2Ko5vLUOuUjFvcm11+Cp9UNrCrqQ2XJHHR0YIzdnxsLt3MN7nfMDpsNNcMuebM9dzKDBbpqmk5N4XiJjfLutuUD78Mtj8n/33+O4D8UCov/wS9Pha7vZS8vMcZNuydXrutfvJJWr//AcntpuGddxnw8/rObbZWF7+8ewIEgcKMOqaO857xgm1ubmbjxo0oFArOOeccTKauwE1yuah9+e+4CgoIWnEdft00R6KMUbw267V+9z06fDTrDvrR5ijFhoH7NjVyeW/vsR5w2mx8fv/dOG1yy+Nljz3fL8fJZivqDFYAXK76fgOWQn0ddZclMCduDpGhvffbIun5aP4qVq1eRu6gdLxqLRqrgKR0U6vx4DYPQOssYMb8LnfsU5oOxcXFjB49mpGLh6MO80PQKjGMDu+RWdxX1MDn+2TtjYd/zGRWWhgxgf1bC9S5PHxc2YBGEDjZ5uC98npuiwujqmoVmVl/AUSSk+4jNrZLefbWmck8sTaLcLOOr2/oChK35tTy0Pcn0agUvHvVaOKDDUiSRHHxazS27SHyhosJC12EQqPE7XazevVqysvLmTx5MmPGyO3UkiRSUfklTkcVNTWD2LjxAKIocu211xIT0/fC4vUjr/POcfmajjPHsWbpGgRBIDq6tysvwJCpUQyZenZqvqQulP87C4Rr1Xwz/Owk/QGWDV7WKfx4JsTF3dDLG6o7vF4Hhw9fRqv1GGp1EJMm7ujhg5Sf/xS/HN3Ft0duBVw8+P1JZqWFEemvR6lSodHrZUsFYMIF6bTUh2AP1ZM0JgzF/8feW0fHVa/f/69xycTd06bRursrLVBoabECxS92ucDF3d3dHQqUQrG2UHdvaknj7jqTmcnoOd8/TjpJmpkkRe6H9fuxu7pWkjlzxs6cs9/Ps5+9tUrSKh6moXETAfUTEbcZEMUyHAo7yOjy3T6JwkN1nirWho9yuhOWrC/A0m44tfYuGHcaBo12k0RWTsLlu5r13y3/ZX/tflyCiyWpS3hgfNeYi5jopRiNh7DbqklO/i/6sUPJ37uT0Nh4YlK7t/ReP/Q6NpeNImMRc76dw+FX9pPzxRc8c6CRbQHpiBYXmj31GM5MJPTy5QBcOXgw82rN7Fj7LCHNFYw7czraAWF0p0NdIYoi9mITcrWIUqsmv6IWHQ6S4r0f1/9L/ENY+gi7UxLvqdvV+6dqWNyudlFuDz34psbtHoOy3ox7lGoFoTF+NFZKF7rEwaE9bj8qwA9X+75jepkosrvt3L7ldgI0AWyv3I7D7eC6YT18cfPWwRdLkQOXQpfET0dFJQVrathiGkFu4lSWblQweGAVhpFRxMUuo7ziIwBSOoWwdYZgsSDX63EbjTiqqrrcplTLUeuU2K3Sexs+dTRqzf04CosIvti7o/CGDRsoLi7GYrFw5MiRLisw09q1NH3wAQDmLVt+V4Vm/uAovton+XAsn5DU6/ZupwNHW4cy32ps6XH7oKCRxMYuo7l5F3GxF3utSp1EpbmS69ZfhyAKfJr9Kd8v/J7koA4x7HPFNTxXUsPEwxtYOKeJs2K/xlw5jkJTJmpBzQznINpkrWy3K9n7/TeExSWQMXk6ZWVl7N69G4CffvqJ5ORkgqd4P1kNCDcQpFfRYpUIfWhvYlIgTK1kUpCB7S1SEOeSKEnMWVv3M2p1GA5HHfkFT3QhLOeMiCUoKYAYjYoE/w5C9MqGfNyCSEGdmWnPbabkqQWYTIcoKn4JkL5nQaEj0RFPfn4+x49Lq9iff/6Z4cOHo1Qqqa5eSW7uA5ycVQ4KupmmpiY+/vhj7rvP+3ELUGutJVgTTLO9mVJTaa+v++8El1vgRE0rSWF+GDS//zJgNmdjaj0CgNPZiNl8nMDAEZ7brW0lxAcJ6JUWrC6JeNtNTRAUi0qj5cJHn6PwwB4SBg4hsn930hUXt4y4uGW0bq3A6CpmnJhCkKgn7Ny0bplnINkZbF2Rh85fxcJbvIQDZpwF+6VzAMMld2b9iBHEvvgCbUeOoj5nIfeV1HEoux4qjIyLLuOKsUriYs9HFjsCznpFatcNvxgCfLekW+wthOvCqbZUU9BS0O12lSqQIYPf6PK3wdPndNvO87oiRvDBcel53zT8JuQaDUd1OtRR/ghmaQExKDmE7yd0rdzFRhpYelnvVeDOyN2xlUAhFFWaNJG29YBkvDh9VN/dr/8q/ENY+ghnO2HRnPRBOGVKSN1OVKwmI/oA76OH0dGLqW9YT1tbCampD/b4eHK5jEW3j6Sm0EhYvL/HEbSxoow2cysxqRnsNVnRKeQM0WqZHGxg57gMmhwuhgf0vMJVypRE6COoMFcA+LTb9qAuB+Qq8DLqWfPww1hy96AZsoAMYwyBra0Y8wsxfl9I6lP307//rSgUOp8jcVH33kvDO+8g1+kJu7ZrzL1aq+S8u0ZRdryRuLQQQmL8oH/P0QdBQUFYLBLJO9UxVxUbK/WtT8PV9lSMTAxh372zcLgFAnW9z2TpA4M469a7yN25jeRRYxkwelyP28tkCtLTHu7Tc5G1//OFdQ1GErQqzg/4nODYVuRygaD47Sw5FopMfhZKmRKUBvZPsxGWP5C6tS+TMXk6ISEhaDQa7HZpBanX+z6eIgK0bLh1Krm1rYxICEbbySdEFEXcTgFl+3SF0Whkf+N+Htn3CE7ByedT3mBq9FCPg3N83HKOZ98KyBk2rGsb5OacMr6rawHgtqRIbu8nXSympkbw4vo8AO5bIB3HGk0UcrkOQZCIolIpfR+jo6O7vK6uVcUOc5XmZkkYu2zZMp+vG+DmETcjQ4ZCruDfw3sOuDsV9mIjQpsLbVpIl4qVN7jdbuRy+Z8SAQHS53LpB3vZWSiNyP900yQGxfZtTP1U+PsPJDh4PM3Nu/D3H4T/KVlSKQPuxe1+gltSP+dQ0ThCRAc69UgAio3F3Lb/NmrMNTyseJjZ+K4SGSbFItcpEexu5oyejFzjXTSbMiqSlFE9TLzFj4HbcsHt6NLOCTjjDALOOIM3y+r4NLcS+e4qUMrIqQjFalrFkiHfMWrkNzDyMul/L3hy0pN8ePxD4gxxXDXkqh63rbQ5uD23HKtb4LGUWAb5d/2+/Vj4I5/kfALAnaPvZFmmdFyOHj2akpJv8Fc3MeeM+cwb37eMoZ7QWFnOvk9XMj14KWHjJQ1WUXExDrkfseFBf3j/fxQy8XQ8yf+mMJlMBAYGYjQaCQjouxjwdLB66yEObVzN0uXXkpkUTe2rh1DHGTyz88a6Gt676SoW/ve+Xi9KvxeFB/bw/TOPog5wcPjMifwUIHlJzK908shxG1F3jpaMrXrA1rx6dhU1MilVR3nZr2TGDmFISi9CYZsRfrkdTFUw8wHpS9+OgsevpGTUFmQqkcbGWLKPz+Aq20wANNfH96rZOB04bG1s/fwjLM1NTFhyEeGJ3fUSgiBw4sQJ5HI5qamp3XQIbUeO4CguxjBzFgpDzyIyu70WhULvNUTu74Ld1bvZXrGd2UmzGRre9YT1S30Ld+QU8HDN1QSFmTx/z3t/LJMjFuOvDuGNyK/5pl8o1qDz8HeZyZ8tRTq0trZSU1NDQkKCV2FjTxBFkZqXX2Pj0VBUumhCI/VYh9Vz4MB+AI70P0K+KE0pHb3saJ/2OW3vCeyCQHGbgxiNioOdVpIFdWb8tUoiO/lfWK2lmEyHCQmZhFrdcWGyWCw0NTURExPTkbwuuqms/BKbvaY9EykIpVL5l02SWA7W0vy1RLJkKjmxj3aP6DiJHTt2sGHDBkRR5Prrr/eYrnnDq7+9y87DmxjWWMdVSx4ndIT377XN6SbjgbWEGTTUt9q5aGwCT5zrXShry83FUVKKYcpk5DrfAnBBsCOX+z5OiouLyc/PJz09nbi4ePLqWvm2+A1WF62izSURy74eC38lfqpr4aqjxai31yJvk9o/d495geHxfowZ/cNf8pj351fwZXUTZrekEzu1nX/VuqsoNhVTZ5XctY9etE9qTan9EAQBmUz2p5DZmoI8Vr/wBAP8hpGmHkXsQxOQqeTc+fCT6MLieeiGngn878XpXL//qbD0Ec72lo9W3dk4ruNiGBAeSVh8Ikc3rvtTCIvodmP87jtcjU0En78URVAQJUcO4QwIIX5CHuX6OILFRpplofwSq+KRYzaMvxQTelEGbccbsBeb0I+I8KSbAhTUtXLZh3sRcfLekV0Mtx0nt343xZVPkFZURsxTTxIwr7sPCtpAWPSO9yd6Xiqy8m2Am9DQSgBOmI+T17SFtttbu9mf/xFkrfuZYxvX4Xa5KNi3y+u+5XI5mZm+fVF0Q4ag8+UH0Qmlpe9QUPg0AJmZzxMddc7vft6nA2dNDaaff0abmYnf+N5LueOixzEu2vvxNj88iLFyG7uyRQSXErM7BPePGqwyE+uqpApG4agQHIFXANCq7DhW/P39vWoE+gJbdjZFKzYQMuY/DNYrwOLgi8M7ycgoxmgSaK6MIT8mn/vH3d/nfT6VGsczxTWMDvTjiZSu7akBEd39LfT6RK/tND8/P/z8uhJVmUxBXNxfczL2Bld9GzKVHNEpeMTMvrBz505CQkJoaGhgxYoV3HSTd3OzvINVyL9NZhLJKFxt1F20HPmjjxC8pLuQWqtScPvcND7cUcLU1HAeONP798V68BCly5ZJnjDQYwu1J7IC0K9fP/r1kxYY13y4iyVF9zLN7zgroyJABmcqz+erx/cSEKpjxqXpXSZ83CYHln01KEO16IaGn/bF2WZxsuGjbEyNNiYsGkDiIN/t9TMjglg5YgCF/WPQNjQSp1xLfOjFxMVdelqPeToY6q/n3QpJV5Pm133BuTRtKfduvxeAVwZdD88OAEcrTLkD+Yx7//DjW40t7P/5ew789B0RSf0ZlDwNuVuOTCUnu6QanWgnLaXvvkt/Jf4hLH3EScKiOelA6RZB2fHFkclkhCUkUVvUvV/5e9Dy9deS66coUv/ii2ScyEEW2w9bbA0mwcL5is/5hCuJMh/hnFw3FvkQouYm4ag00/ipdGIxb68k5oFxyNu//EL7NJ86fD3qkB3kyF3kJJYSGzqB1Ow8Kv9zCwEnvBCWHhATfwENzRuxWIvZdGIWZS1q/OslIjH1kit7uffpITAiyqMV+qtRW/czWm08Nls52dm3nRZhsVgs/PTTT7S1tTF79uwu0yK9oWz55TirqhAdDiLuupPQ5ct9busW3Hxx4guqLdVcnHExsYZYynOaqC02kjI6ksBwPS9uC+SzkscZWp/Psog2ih2laNxNBERrqA4OIb0ogFqxmpABGTyQ/MdGj09CFR1NsKwJmbsVh1uLWqFlWMohxKASwsIdpGf245FR2wnU9L0NMS7IwKrhfReW/p1hmBSLu9mGYHMTOC+px22HDx/O9u3bATjnnHN8btdSaUOQu5ELCtzt9vy248fBC2FxCSJ7QuWUTwgjNtAPhY8gS0dxsYes/CHYW+HAR6DxxzXkIuoL9pHhV8pzidewwFlKaWUcKa1TcSrdFGXVU11k5IpnOsJbGz/PwVljQbS70ec2E3J+mu/H8oITu6opPd6EKIj89NrhHv2DRLfAWJeCiQkRyPpF0pMp5J+F86JCSPXTYnULjA3sXvWdkzSH6QnTkSNHsabD/Zetz8AfICz1ZSXsWfUVhfv3IFMoGLPwPMaeez61Tx7Af6J0Lth+KBtRhOkj//r3oS/4Q4Tlqaee4u677+bmm2/mpZdeAqQwpttuu40VK1Zgt9uZO3cub7zxBpGRvvuKy5cv5+OPP+7yt7lz57J27Vof9/jfw0NYTlZYThHdOmxt5O3ewcTz/5yVmuhwgEIBnS7QMpUamVxGRfkgAltrmG3OZ0XcKt4LF3kvHI6GHsVRafa6v+aWfVhr3uahmcP4odFAiU3gpCLlKlaQQwyBCxd6vS+Asd5KY6WF+IwQVJ36x3p9IuPGrQOgTFPMzrZSEkdM4IrhA4hI8F2+PgmXy8WxY8dQKBQMHDiwx1HStPGT0Pk/jqWlmZQxXiKa/0QkJlzDidz7UCgMPU5zecOePXvIz8/H5XLx7rvvdhu97Anu1lYUYaG4qqpxVVf3uO0PhT/w3P7nPKLbjdN38sPLWdJz+KGYa16eyrrjtfQP9+MwKQytO8CF+dvB7YZ8iFoSRUXLf7j2YBB+CISM8MPc3ER13gliMwZ6tFhtrjZeOvASNZYa/jX0X101T6IoXYzqsmHUlRCRjjIkhJTVKzHvO0r+xnLcNhdt1nr8w2SIgFam6JGsbM2r55l1J4gN0vHM4qEEevHT6IKaY1DwGwyYDVHeZyAclWbsRS3oMkJRhvXuivpHYC824qg0ox8SjiKguwhZ4aci5ALfk2KdMWvWLMaPH49Go/HkmHnD4OlxNFaZaS6vIbNpK+H/uZnQa67xuu1xSxvrGqQW4W6jhd0tZq82CAFnLqDt2FEcRcWE/cv3pJDJ5ebV0loE4KaECIJUpzzPn/8L2d+Dy4Zy1xvMm/k+s53DaFb6o9lWi8zmxs/axmCHdL+R87pWxkSXIFWk7G6Etq4LFldDAw1vvoVMrSbs+utQeKkKRiQFIENEBJQ+tC8AotNN7WtZuGqlUerOiz1vOFh7kMf2SIGwz019jnh/7xNloihSU/MddnstMTFLPeaanTHEv2fdoSd/auiFcGyV9POcxz23u1ytHD16I6bWo/Trd1OPCdwAFTnH+ObRewkIj2D8kosYPHMuOoM/jiozYpsLTX/p+1lSUoJTaSAq9PdpnP5s/G7Csm/fPt5+++1udsu33HILP//8M9988w2BgYHceOONLFq0iB07dvS4v3nz5vHhhx1Cu9Ptm//VcLUTB53m5JRQV+O4moJ8BLeL/sNHeb0/SAdubd1POBwNxESf16M2IvjCCxEcDtyNTYS0j6lNmDABp9OJpc3C2JET+C1/C5R92+V+6lgDoZdmYi8xoh8W4fnCZWffjlyuIl6xif8OGM0R01yEIyu4xCiduAZs2YzKB6lsqrbw9eP7cLcHy133+jTkXlZll0/sx+UT+7Hhkxx+eT0PyGP2FZmkjvE9v79hwwZ27ZJyR7Zs2cKNN97oc1uAhEFddRot366i4Z230QxIIfa5Z3vss3eGKIr8WvorjW2NnJ18NgZ117ZCZOQCIiP7NlZ6KqKiojzHy+kex/FvvE7zlyvQDhxI8LKe3X+VcqUUStYOV+fMICSzsltmpfLsuhP0C/Pj6nEjMO/40nO7MOhpQo7aEV1gPViHbn4MH99+I7ZW6Zi45s2P8A8J49u8b/k692tcoouN5Ru7ag3y1kmurAB73/FMkKkiIgheMJOBE5sp2LebUVFPYT94OSq7g9iq3ZBaAGHeKyaP/JSNyy2w7ngt+0s2c+D+HmbHrU3w/mxwWiXfkmu2QMywLpu4WmzUvZEFbhHjz8VE3T0GZWD3z8VqLcZiLSIkeCIKhXctWGlpKTU1NQwcOBCDoXsrylHeSv07R0AE409FxD4+qVdRbW84tYXlDTqDmjOuHQIMAXxPmwCk6bUMNug4am5DDozwIdKXazREP+hjOEAUcbqcfLKnklVlDZwIV2JRyni9rK67pYLTCioduGzQWsOScWk8vOsYOpcZweZGqXCxTgfFoZt4++LzCIvvOn0TemE65p1VKEK1GMZ3rQLWPv0Mlq1bcRuNNH34ode2VUD1McbufQS73I/4yZmAd68sZ4PNQ1YA7KUmdBm+20dvHn4Tk91ErbWW+avm+9Tg1NSsIjtHqowUFj3XJcn7JMxmM0qlEm0PU6YAxI2C2wskq3xFB5mqq1tHU7NUicvPf4zoqGVd8qhOhX9oOEq1mriMQV3iKuyFRlDKUccHIAgCbmMdhkjfk4r/a/wuwmI2m7n44ot59913eeyxxzx/NxqNvP/++3zxxRfMmCGV3T788EMyMjLYvXs348b51nZoNJpuUx1/JzjbjeO0npaQAJ3SmltqpZHc0Djf7oHV1SvJOSGZkuXnP+b1wD0JmVpN2NVdLf41Gg1z5nScjC6OWUTToUoKWgpYPnC55++6zFB0mV2/aDpdPM3NOwGICZvGhFH/whWxkLbtB2kKnkqgoasBkiiK1BUXYggJpaXW5SEr0m0+nzYAFSeaCIrU01JrZdf3hT0SFrPZjF6vx2q10tDQ0POOvaD2iSdQRkVh3rCemn8vI+ald8DPy0mmIR8q9kmrcEM43xd8zwM7JW+EJ/c++acK/jIzM7nmmmtoa2vz9O37Ct3QoeiG9k3tf2b/MxFEgWpLNeelnkeYLogZl6ZTU2gkY2IMLx59nhW5K0gamsRn8z9Dr9TTGqBn9w8/sE+vx5nzCxcapuPXIif4vBQszU0esgJgrK3BPySMGEMMLtFHK679pHlcrSJLo2Hip++irzMRfMEFqGJj8QsKZujsM6CpCL7t2DeOVu/7A4bHB/HNAWmC7bppvfTOXTbp/0nYjN02EW1uOic8inZ3t21aW4+zb/8ixPbX6e27WV5e7llUrVmzhgceeKBbRVCwOk9Jchahh0mu/wtoFXLWjkqlxu4kRqM6fcFmUzF8eg6q5hJc7rM57rxA+vvcWO+vdP5zCJtfpDW7EeX4iwnWqbjwaAmH4xREJViwlPszpr6Iglgzn5e9SONmPwIj/82DcxLhp1tQNhUSNO0eSOnuaqwICMDdPhWo8uF/Y96yBT+hFZ25ltafi+D5Z71up4rUox8egfVIPdq0ELSpPTuBj4kaw+5qafz/ykG+299uwY5MpugSrtkZe/bsYc2aNQAsXLjQ67j2SThsLhrKWwmL96dztFFQ0Ejcbg0KhR2XS8W7777L9ddf73M/gRGRTLrgUjZ99C5jz1lKUJREEu1FLWgS/JGp5BwrqkCHnfS/iX4FfidhueGGG1iwYAGzZs3qQlgOHDiA0+nsYpednp5OQkICu3bt6pGwbN68mYiICIKDg5kxYwaPPfZYl+CwzrDb7Z7RRJBUxn81nG43gijz9HtPteb3oIcvv9NlRCZTIYrek2AByYyo6hD19njqaiGkfA/kHiHovCWoMjJQdqpsKOVKbh7+HwRR7PJ3zPVwZAWEDoA0yTp+yOA3qW9Yj17fj8AA6YLYciAIR9MYhBIj1kO7u4SN/fr2qxzb9CsA8268jcHT4qgrNTFsVgIKpe+2DcCERQPYvbqI2NQg5vVi0z179mzPRMZJkusN2TuqKD7cQP8RYRwK3EyluZIL0y9EP3Ys5o0biRxhJCR2PTzbX3IGHbSo484tZfDWpI4L250lmBwmVHIVTh+pvH8Uf9SK/iREUcTlcnldLclkMhYO6NrGy5gQQ8aEGEwOE59t+wx/lT8FLQW8feRtbh15K+oJE9i5dStarRanzUbpCLuHBOtFkUkXXErhgT1kTJrmcdyckTCDD+Z+QI2lhlmJp1w0Bsyk7KwXWHbsFcZkuxjx7gu0AY3vvtd1tRvSHxa/L1VkBi2CmOHUO5xsbWplVKAfibqOisdTi4eweGQckQFa+oX1Ul0IiIGln0DOj5LHRv+plLbZybXYmBTsj14hRxXlR/B5qdjym9EPj0AV0b2iYLEUeMiKL1it1h5vB9CkBhO4oB+OCjOG8dFd2sbe8OnuUt7aXMiACANvLRuJrpeAPafDzp5VX9NmMjLmnCXdAi9PhSiKFBVJzq/9+/f3kBOFTEastgfPnFOs67vg+HdglAjltYofeLKdsDyWEsuyaC/nbP9Iqje7MP28HT7cTuA553DTRUv59vH78VeF4BZdRNUbeeOCBxnBHq6Mfos7N8/iweg9cPQbQITPF3fxfzqJiDtuR5MyAJlaQ+DZZ3l9usHnL8WyYwfO2lpinvDt7CuTywg5P63PGpmrh1zNlLgp6JV64gO8t4Pcgkh2yzRMqnsZFF5KYsIV3bY5duyYZ0pm9erVPgmL0+Hmq8f2YmqQzmOXPTkBQ7BUkXGYtBzePg/Rz43VGsT48b2TjEEz5rBz5Zcc3biOyRctRxQkwzj/SdK5a8ehHAQRZoz6e+hX4HcQlhUrVnDw4EH27dvX7baamhrUajVBQUFd/h4ZGUlNTY3Pfc6bN49FixbRr18/CgsLueeeezjjjDPYtWuX19HCJ598kocf7ptXxZ8Fl8uF0Gn9ILWEOk5GKo104LQ21hMQ5j1MMC72ElyuVhyOBpIS/9V9A1GED+fTWFLH140vAAogiGlbVtKy4ivOOfMJdAF+rL91KmEGDTnVJi77YC91rXZun5vGDdPbS+xfLYPqLOkCPfZfcMbTKJWGbsJRZYgWW04TAJpTQspKjx4iOCaO5qoKdqz4hGte79kevDN69ULohICAABb2oJ0BMNa3selTye7/16o1bEr5HBGRT7I/4cgrh2g7ehTdpmWgipHiAdbc2ZWwtNaesgo3cUH6BRjtRppsTT2ujv4siKJIbYkJpUpOWFzfpm8cDgeffvop5eXlxMXFcfnll/d51NZf5c/E2InsqJRasUtTlwKg1WoZN24ce/bsITw8nClTpnjuI5PJGHvuUsaeu7Tb/kZHjfb5WKbEsbiO9UGcOfg86T/gFETOOJBHhU0ijKuHD2BskNRiUchljOvfs1FiF2ScJf0HcltNzD5QgMwlI6VVYM38oag0SvxGRXZJtj0VERHzaG7Zi8WSR1KidxPFlJQUZs2aRXV1NWPHjvWqt5LJZPhP7psjqCiKPPZTNrFBOrbk1XP95wf48PIxPd7n0Jof2f/jt7hdLo5sWNvrFN6OHTtYv349IJHoa3zoWrpg/4ew7h6QKeDqjRB+Sn5Q2hmw6zWwNlISOYd/D0jhsvGJhBp8tz+dVVWoYmNxVlZi3r6d1KeeJGbWmVgbf2Jn1AWsTRwEosCCgu8p3JrA5e7PWClexyKZHLmPygRIbavgCy7o8eVoUlJIXvNL76/7dyAtxDu5cQgCJyw2ftxeyrtbioAwxvZL5atrux8b48eP54cffvAEevqCpdnuISsAtcUmD2HJ2b4ZRUEJDj9/dM5api77D6YNZeiHhvvUbKnUGhIGDqEyVzKGc1ZbEG0uNMlBgNT+dKkCCA/6+9g6nBZhKS8v5+abb+a3337rvdd2Grig0wE3ePBghgwZQnJyMps3b2bmzJndtr/77ru59dZbPb+bTKYeLbT/DLjdboTOKw634DGOc9psHPj5ezR6Pw9x8QaFQkNy/1t8P4jDApUHsCgnIpEVCaJMDqKbEH8N1VYnz/+ax5OLBvN9ViWm9hP+s+tyOwiLzQj6MDBVQHOJz4cLnN8fdVIAcrUCTWrX6PgpFy1n+4pPiE0fyMLb76POWkezrZnU4NQeS8iiKGITRHS9rCxPBxqdErVWgcPmRi4q2uVzEjZ8/C7F+/cxI30u/R1rkEUOhmUru+4gbhTMegiKt8KISyE4EQ3w7xE9m325Wx0giCi86B1OFwfWlrJntbTSTR8Xxczlva9aKioqKC8v9/zc3NxMWFhY7w8mCMg2Pc6blVU0Dv4vgcMu6hDtIS0Q5nUaX3c1NND6229oBw7s08j3qRgYOpB7x97LvoS9mAeEk2SSETxjMDhtoJK+D063E5lMhlIunXKsbjdVNif+CjmtboHDrVYPYbGaHJga2ohI9PeqleoJO0q+R3QP5vNdVvpZBGr37CLo9lG8YWqh2enmxoQIr5UFuVxDRvrjXvbYeRs5kyZN6nGbU7GlfAv37bgPq9PKu3PeZURkhwusTCZjckoY63Mkf42rJ/uO3jgJrcFwWpNy9fX1npZr1SlO0j6x/UXwj5aCFz+YA3eWdL09IgNuzQGHhSR9CLd63UlXRD30EA2vv45h2jQibpPuMWX+WWz8XM5jJxK5N78VldPFj2WhuBROdk85i5dMEbww6mPibTV8dc7yPr/mU1Ge3cSRTeVEJAUw6oykHjPZRFGk9PBBLMYWUsdPQqXu+bvvrK1FdLpQx3VMAroEkTMP5HPE3IbqRCPhBjVNZgd7ipu87iMzM7NHK4aTCIzQMWJuIgUHahkwMpL+wzuGGvqPGM3+n75DNDaSNmQKDe9JAZym30qJeXiCT6O90Lh4T4aRvailXb/ijyAIiKY6AqJ6Pyb/lzgtwnLgwAHq6uoYMaLjS+d2u9m6dSuvvfYa69atw+Fw0NLS0qXKUltbe1r6lP79+xMWFkZBQYFXwqLRaP7noly3241IeztIEEHEU2FZ8/oLNFVVsvT+x9H5/wHjOo0BZj9C/N73iNHvY1eLH1ZhE1XTU8iKu4hqo3Shvr69rz9/UDRf7CnD5hS4bHwnYdR5H8DuN6SW0ATvvg0AMoUM/WDvkzzpE6d6ghwP1B7gql+vwiW46BfYjx/O8W6g1OR0sfhQATkWG9ND/Pl8SH/kf4KhkdagYsndo6nIbebi9HFMM6VQaa5kqmYUax96hNkxl6KpjqaSc4m4cRjqUycFZDKYdIv0v49oy26k8bMcEET8xkQRvMhHRlTWF7D5SQhMgAu/kDxrvKC22IQ+UI3V6ODE7po+EZbY2FiioqKoqakhODi4W+XSJ4o2wrbnkAFhxVtg4CLwEdcgiiKll16Go71tEP344wQtXuR1W4DGxm2YzTlERS1Eo5EqFjKZjAvSL+CC9AtgvBHemACrK2A1cGcJa2p2c/+O+7G77bw641WmxU8jUKXk5YwEvqxuYlqIP1fHScdhc42Fr5/cj6tdZ3L9m9OxmVvZ8/03yBUKxp6zFM0pzrs7m82U2xycGR7IBG0t59pa6GfpKKuv31/O69o27ILIh5UNveZsnfr+/HSkmvw6M0tHxREX7F2g6hIkGq065WL4cfbHaBQaWuwtXLb2sm5aqbcvGcWxSiOJoXqC9L3HGgyeMRe1VofVZGLQtO7nxlMxbdo0bDZpVT7Pm8eS1wdZAtuek35e9J73bZQa6T+Qu6eG/b+UEBLjx6zlmV2mCE9Cm5ZK3Csvd/lbbGwsF1y+jNrnD9BqLmNb7be4RAeiJg6ZUoUok1Gkj6dYE8j9ux/B4XZw84ibiTH0vd0qiiJr3z2Gzl9FydFGzM12pi/zPaF1YscWfnlVeu1r33ixxwqW6ddfqfzPLSAIBC5cSMzTTwHQ4HRxxNyGUgau1EDCKh1MSg7jvjN7cRTvBTKZjPHnJjP+3I52T1ZdFp/nfE5qcCpXv/khpqZm3l/7BMNaO3k49SA67OxAbi80okn0R6aUczi/DC0OMtL+PvoVOE3CMnPmTI4e7fqFu/zyy0lPT+fOO+8kPj4elUrFhg0bWLx4MQC5ubmUlZUxvg8mWCdRUVFBY2Mj0dG+sxr+13C53R0toXZHQplSRuGBPeTv3cmZ/7mLqAE9R6+D5MTa1tbmW/k/8d/IJv6bc4GpdjM/1C0kWhfAY6EBNJgdhPipUbSfFIfGB7Hv3lk43ULX5M3ITFjoO8hPEAWe2fcMOyp3sDD5XK4YuBy5XOazZ72/Zr/n52Jjsc/9bmtuJcdiQym4EAs24Ip2ovYSyNft+QgiB8qaCdarGBDhvfwYFKknKFK6WCyMkFpIdquVoLBogtVR2N1WNAo91iMNqDu1XERRxLK7muqiCkyxIpljh6DrwySRLacJmVqOaHNj2Vvjm7D89gDogqF0O3w4H67zPg035qx+bP0yj5Bovx5PmJ2h0Wi45pprsNlsPdrjnwqHIRZEJWqZtBL/cE8Vl0/x0ZcXRVz19Z5yve3ECZ/7bW7ZR9bh5QAUFD7NjOkF3attjYVSZe8k6nP5OvdrgjRB1FpruWnjTRy97CgOl0BjbjMjzQ7OTw707KeutNVDVk5iy2cfULBvF3aLhX2rV3a5iKxvNLHsiES2bj4BlVNu4BbF+7iM1aiL49FlhtGUGYijwLf+xHqkHkepCf3IyC5GiyCFK9705SFAyi0qear75NjeFjOXHS2m2eXmsZRYrorrWATMS5rHY7slnd99Y7vnEinkMobGB/l8bqdCJpP1mgjfGcHBwVx44YW9b9gZM++HMVeDJgDUehoryqnMPU6/4aPwD+le4dv2dR56fzVFh+r50ZTFottHet2tQxC4OaeMXS0WrokP5/qECFThetT9Aindl+2JmVBYKhjZWIlCcKMOC2dAzGF+K1xPm62VX4p/6UL6HG4Hh+sPkxyUTIi2u0hWJpPhH6Klsd3uIap/zwvK1sYGFCoVbmfv2jbLtm3IDQYEkwnj6tUewhKlUXFDQgRfVjcyMTGIt+YnovgDCzdRFHmltI4dLa1cFB3KOZEd1fDbttyGVqFlbcladuXvovbgRDIjtvFilIN0WzJH/bbxitZ3O6y5pgpDSFi7fsWIf3tm2M6sdv3K38R/5SROi7D4+/szaFBXnwM/Pz9CQ0M9f7/yyiu59dZbCQkJISAggJtuuonx48d3Edymp6fz5JNPcu6552I2m3n44YdZvHgxUVFRFBYWcscddzBgwADmzp37J7zEPweC2w3tbFQ8OXGgkLHn22+IHziE1HG+7bVPwmq18v7779PY2Eh4eDjXXXddj74jwWo/zg3VEKBTIpPJCPfvXlXSqhRd8lv6gmMNx/g853MAXj70Iok/PMNsVzVMuwem3dlt+0Upi9hVvYuK1gruGXuPz/1ODPInWafhvwce5tz6jXAUyStggvdRZZcg8t/cctZuL8VWKAmnr5+WzB3z+nhB1+u55LmXqV9zAn2BFk3/oG5GXLbcZop+OMx36r2I+SI/bl7D/fff36sWxG98NPaiFtwChFzQgwiv/3Q4+rX083Tf7014vD+L7/B+Iu8Jcrm8g6zk/QpZn0HSZOmC4gOy8DQuUj1PtDWPzcJQHgv03YOWyeXEvfoKzZ9/QdAF5xN6le/cE5erD+L26GEw6grIXQvDLoKEcSxy1nsmsp6dKk1ofLKrhOfW5eISRN7dVuwhAv2HhZM8PJz68lZGze+HTCZDrdXhtEki+1MrmJU2B3LgpIJGodDTr/9N0KmSvVwUUTgrqLPWcUX/rrYD9jITTV9IJM28o4qYRyYgbxe+CoKDnLyngY5KxqFDh7qJIr+qacLd3qa8L7eC2GYX0UE6hsUHsTRtKTMSZqBWqAlQ/zWxIX8J/KWKeGtjA5/d/R9cDun9/9fbn+IX1LV9HDMgiOLD0oTfsNm+pyS3Nps9eVCPFFZxflQIoWol4VcOYmg/K5VfFoDVzrRLr2LQrDOw2WwEBgby1a+5zHq5hdBW2DBGA+1RPqIocuW6K8mqzwLg43kfd2m5ncQ5twyn6HA94fH+hCf0rMcYNncB5qZGLC3NTFjSc25Z8LJlWA8dwq1UEvPsM11uuz85hvt7MGIUBBcgIJd3raq1Ol289ls++0qauGR8IucOj+OgycqTxZIn09ZmM8MD9B6ReoigI89SBjKQN8hpkAehq5/C4KDV6BRurpj38akP3ek5uCnPPkrqmAk4q8yIdjeaZKlCXF5WiksVSEhA7yP1/0v86U63L774InK5nMWLF3cxjuuM3NxcjEZJ8a1QKDhy5Agff/wxLS0txMTEMGfOHB599NG/lReL2+2WtCRIRkYAbZZWqvNOMP+m//ZpNLC0tJTGRilwrL6+HqfT6fM1CoLITR9uZk9+NUaFVEnpS8m4L4j3jydEG0KTTeqpjnTXSzdsfsIrYQnXh/PRvI+ATmTNC8LUSraNTUfcWyq1oxoLYN97PgnLrhYzK2qaUDfaQKdA3ubmjc2FfSYsAGqdnthF3U9SJyFXyzHLbIiy04vMUscYiLrdt9DUg3PfhvE3QGAc+PVBX/I7UGt38kRuIc98fzEOUY1/9mosVit+0272ur1KIefZfy3hl2PVXJIUwuiknsczdWPGUGwwYLPZCHA6Uau9H2dhoTNISbkPc2sOcXGXeD/m5XI480XpfzvOSj6LmQkzUcqVqBXSvjVKOYKXUrVKo+g2WTb54uUER8cgVygYNL2rJ8v5USEUtdkpb3Nwc5J3UW1r6xHiSpYSh0hWHV0qQ6e+BrfTSVVhDiGx8bhlVQT47WFUZjgqs500WzOrVwdTkXWAASkDSJ84FZlMxqLIYL5vvxAPKWrjut8OAvCvqcncdUY6Ybrfd1wIgkhNYQv6AI2nuvi/htVk9JAVAJvF3I2wzLtmEDXFJgLDdfj1oPcaaNASolLQ1G4R4d8+bShTyuk/ZxzXz/wCURRQKKVq8clz44wiPfVWiZbO3NvxXJyCk6MNR4nQRVDXVsePRT96JSxag4rMiX1rI6m1OmZc7tskr8t+09JI/un0o0daWvZz+Mg1uFxGUlLuIyH+ckRR5KacMlZl16DeL5G/g2UtTBwQRqRGhU4uo02Qvi+BSolQu41G/vtCGTuTXSTUi/Q/fxxvKyr4wT6NXPVCXr1kPIpg3wStJOsg5sYG0idOxV5kRKaSo45r16+01hMY8/dzlv7DhGXz5s1dftdqtbz++uu8/vrrPu/TOW9Rp9Oxbt26P/o0/nIInTQsJz0djI21AMRn+h7ddbc6aPryBK4mG9Hz4oiJiaGqqorU1NQejX0aj6/n+bIL0WqdfOWaxqqDGVwxybunh7ulBfO27WgHDUTTB9+PYG0wqxeu5plNGzmwvQKF8kmQuSBtfo/3a/4uH8ueGuQGFVG3jvTqAimXyWDBc7DpCakX3unCdSrS/KQTWHNqAKoTRqbEh/D8ku4eJFvz6nl7ayHpUQHcdUY6qtMQYmr6BzH04km07BZpkLUyfvKEPzfUTi7vZlTmC6Io8vmeMk7UmFg2LpH0qL6tuJ8vqWFDcxtNgoFoJJL571+NvD/N932Swvy4flrfTjj79+/nl1+ksvFPP/3k05lXJpOREH85ubm5rFq1i+joKmbNmtWn91Ov6nrBvWhsIkqFnCaLg4vG+F6VgzTNMHye95FVrULOwwN6jj5w2OsAEWt9Co3HF7ClJpdJS1JQqhQ4A9QEXJCGWGNBNyyCb5950CNCXHDfozykeB5zvCQcDjuwnlDMFOzcTN7a7ynJOsAZN97GxGB/jk8chBuR847sJClUT0mjlR8PV3HXGX0n36diy5e5ZG+ThLLjz01mxNy/1sCr7fBhGt97D3VSEuE33YRMrSayXzLTl19DyeGDDJo2i9DY+PZFS8eUpFwhJ2ZAUK/7j9ao2Tk2gyKrncH++m56H3tOM/YSE/rhEahjO1pzAbNn0/z557jrG9g/LoY7NzzPbUOvZGqAmrvG3MXnOZ9zTuw5PVZ//06orlnFyZpgfv5jJMRfjtHlZmVtMwaDCqdChqz9GuOvUaFTK1g/Oo2DJivTQwIIVCooL/+Y5sqdBNhlzDsobRufnsEbV4zvcxji4d9+IaJfMlEDUmnckY06MQCZUs6BnBK0OBmY9v9BwvL/FwiCIF2c6Kgy2CyS+ZW+BzGkZX8N9lITuEXMKwq5+smrEQTB50n+eMNxfi39lQuKs0CuBNHJ+crNmMIr4ftnIWmSVGpvhygIlFy8DEehZHQV9+Yb+E+fjsvl4uDBg7hcLkaOHNmlkuM2ORB+reMWMZNfBph5sfRaBqYNYPH5F+GLCgg2F5Y9Nci0CgSzE9PmcoLmd1eQ23LzMK05gt+YR/Cb0LN9foRGxY6xGeRbbAw9R4/GR3vs1q8PE6RXsaOgmKJ6s2f00+12s2bNGkpLSxkzZgyjR3uviPgNDGf+QN9C0j8DxxuOc9uW22hsa+S5qc8xNb67zmBTbh33fS+p9z/bXUbxk/P7dGJJ0mloEGQsDH2GM2q2sV9IY87M7m6mLXVW2kwOovoH9jgJcSqsVitKpdLjztsbVq1ahcFgoKSkBLPZ7NGrAbhdLhrKSgiJiUPVwyShQi7jwl6ISl/grK6m6ZNPUUVFEnzxxchOsa/PaczBLoSxTz6FcfsvQKWuoyL3GT58VEtMdSolCmkqav51g0kI01CdfwJDaBjmxgZytmzCMrDDGyhz0nQ0qz/DLgMrYLNaPLdp2y/ej587iJfW5zM+OZT7Fvyx/n9tkYmAcB2m+jb2/VLylxOWqjvvAlGk9bf1tGUdJvHTTwAYccbZjDjjbABs+c00fpaDaHcTvDgFv9HehykcLoFPdpVgdbi5bHySJ14hSKVkRGD3y46j0iyJ3JEy0KLvH0fBsTwK9hWTMWk0AzZuZNrnU2lQiigqPuKX3A+YWlfB0oyzueD8H32+JlEUaVldiPVgHZrkQEKXZfp0HrZYCigueQ21Opzk/reiUHjXulUb29iW18CYfiEk9eYT5AVRkWdTW/szAMn9/wtIVZNzIoL4vq4F2cQIXoqJYn56JDq1AlEUic41Mddox2+0P6a2Q+TlPwKA6mYZMYUXcagqkY2f2ZmtruvRqPMk6kqKKDq0n9lX3wiCFCfhP1XSr+w6koNblDF95B8TCf8V+Iew9BGC0FnDIrFjlV46oB1tbWj9utt0A2iSOqZGlKFaXA47coWCzmPLJ2FxWrh83eW0udrY5nDwuSEQWtvgrFcI+PZ8yRch63OwmWCc5OMiulw4y8tRRkbiqq2l7cAB/KdPZ8eOHWzZsgVBEPj111+7rJqN60qw5TRSYavD3u8nhg0vpqkxnsbGuT7j62UaBdqBodiOSy0tw4Tuq1rB4aDs0ktxG400vvU2Mc89R+CZPdvbB6uUjAny/t6dRP9wP/a2jwTOzOgo+5eWlrJ/vyQI/vnnn0lLS+s1nvwksqtMrDpYwaikEOYN+uMOy1+c+IJWRys2t40bN97o1TlXq/x9lZ3r4sNJ0WtwDkwixDyDS/01JId3fc8qcpv54eUsREFErVNy9Ysd/iqiKFLaaCXMX4NB0/0rP378eOx2OzabjalTvQs6bTYbP/zwA01NTRgMBk9rMyWlQ4wsCG5WPHgHNQV5AFzx0tsER0vHidtt43j2LbS07Cch/goSE/9Fk9PNQ4WVWFwC9yRHM0CvRXQLOEpbUYbrUPhL7aPc3Fxyc3PJzMxkwICuq76qO+/Cnp+Pu7kZ07pfSfric89tq/JX8eBOyVpeLspYpriCKuVHzJXt53u9H9XO59DZ62jTR7D27aNc98YMplx6NXtXr2LA2Mmc+a9/Iza28mNdC2eEB7I0KoTmpGgOrf2RoMgYhs/tfmyPSAjmkyt69lLpKyaeN4Bd3xXSb2gYMy756y8eyugorLv3AKAf7T1ixLK/FplCyoRq/jbfJ2F5Z2shL2/Ix+kWeeG3PK9i5S44hUOUHD7MTy8/BMCJbW+x4JZ3GV2lZcT2GnLjZAxJbQZAnvMDjY2NPk1G3U02LLsl/YctpwnrwVqfz/nEifuw2Sqx2auorf2JyZN2ddvG5nRz9ms7qG+VWlPfXT+B4QnB3bYzN9vY9NkJnDY3k5amEJHYcV4KDh7HlMl7pfZXOymSyWS8NTCJZ9Lc+CvkXRYy1qx6mr/KBcC0tgTrnTHcKXuJCuJZlvgBc2VnYmyzgcXFbx9k94mw5O7ahkqtIXPKjE76lSAAKsvKcKsDCTL837Qhe8I/hKWPEATBQ1hOtoQMYdKXpKG0hLhM76Frmn6BRN0xGsHiJD9vD19efgGC28VZt95N6tiuQl1RFD3tsny1mp1LXmJmwkxwO2HjY2CR/Bo6ayXkajUxzzxD85dfErR4MWE33gCA0+lELpdLz/sUKALUCFYXQRqB5OQDiKIMf/8mbLYNgHcTJplMRuiyDASzE7mfyvsKXhAQXS5kajWiw4Foa/P+Zp4mPlw+mo0n6hgQYSAjuuOLHxYWhlar9Yxtnjr9Y8vNw/jdd6gHDcGUNIbAcB1BkXpcrfXkvn0NU9yJrN8+mapRaVw6YwDKkI6KgNVaTEPjZkKCJ2Aw9O58OSN+Bj8XSaumi9K9i/UmDAjjnUtGcqKmlcUj4/psiS6TyZgd1k58vXsSUldiQoZkBO84JSDu3u+P8cWeMgA+vXIMk1O6klKNRtOrwP3o0aNkZ2d7fj/vvPOIjIzsQnBtZjM1BXko1RpcDju5O7cxbrF0PDU1baO+XnJOLix6jvj4y3ijvIVf6o1Y3AK/NBipmT6Mho+zsedJF6PQ5QOxR8lZsWIFoihy8OBBrrrqKuI6WbDLlErE9okO+SmTVEfqj+Cv9qfV0YogE9lpOMw0RwvfGEJ5T6HnzpLfyE9Zitxt54zJbilf6qfjnLl5D8pNuzieOIRFi89gUaepjOCoGGYs75vG4Y8iPiOE+Iye9Ud9RW5uLtnZ2aSnp5OR4Z38xL36Kq3r1qFOTEQ/yjth0Q+PwJYtkdXAM317dAgi7VM/fdOOqWMMhF6Wib1Yagkd2v0LdJJTy0SBK1Y00qjSMqKoDVWtAYZbKFTFUHTwILNne8+bUgRpUMX44aySqmHaNN/vp1oTQYvxAADBQd5Jp9XhptFsR6OUY3cJFNZbvBKWrA3lVBcYcdrdfPPk/m4J0XK5d61PwKmLGlM1QtbrKInChdQuf2FdKdWRcYQ5mvlGeTHTYh/CXjKDJp0bhcrFk4/vYd78eT1a/McPHMLe77+hsbwUfblW0q/EGnC7BWSWeoJiTy8R+3+FfwhLHyG63cjkXUW3IXFxGELDOLFzi0/CAkhBa4Eajr3zG35BwbQ21vPjC092m/E3qA28M+cd1pWsY0LMBKbEta+SFSq4Yq2UeJowHhK7tloC5s0lYF7XC86UKVNQKBS4XC4mnNKaCZiViCpSTxD9qLPEYrdXArCqMgt3XRXXDL6mWxggSBfOk6teb5BrtcS/9y4Nqz5GMTSRwMXn+ty2M5xOJ01NTYSHh3udmvLTKDlraHfRXEBAADfeeCN1dXWekfqTEAWBsquuRLQ7yNqvoSFMOkFMuziNDPNrTHHraXMt5hqA/c3U7N9H6KWZ6DJDcbks7Nu/GJdLEoaPGvkNgYG+hb0AMxNnsmHJBgRRIFzvO6V6zsAo5gz88zOzMiZGU13QQmuznYmLulYhfj1eQ3K4H4X1Fh75MZvfbp2K02Zj/ftv0FxdyYTzLiJp2EhMDW3sXl2EUiVn/KJkdIaOzzo6OroLAT51WhBAHxDI2HOXcmTDOvoNG8mYc5Z4bvP3H4RKFYzTKZERmUxNP50GS3u1Ut/eUnEUG1GG63DVt2HZXY1mcQJyuRy3WxJqnqr7in76KY689zytgUrGXtVVw3DloCupaC7EaWsmRXsuT1fm09yWhlqzl5oYkZzIPUzYvZvwyTOIO/9l7C6BybtX41DKUToFVPfeCovP+F2fx98Jra2tHtJ3+PBhLrnkEpKTu/trKAwGgjq197xBlx5CzAPjEEU801TecO3U/qiVcqx2F5dP7Fueli4jFEu4SEFdKRlTZ1Kek0tjRS0jF1xA6rgYCmNiCS+RbBXeiT6D2WN/Qa5xkDqg1uc+ZQo5ETcMw9XQhjJUh6yHWJHMjKcJDZmMWh1GaOg0r9uE+Kl5fulQvjtUxcz0CM4b6d3VODIxgMPrJdPH4Ki+VypcDjdbVuTRUmNh1Px+JG5eiKG5GLlqEs1OibAsKtKQan6fWys+BeDg4ACOpPgRmaNjvmwNRQod61fXk5YWhF7v/b0/GbtRX1pMVEk06iRJv7LveCEaXAxO//vpV+AfwtJniGInwtJeYZGrFAyZOZc9q75ixPxzCInpWfw3ZNY81r0lmSctvP1+r9sMjxjO8AgvzDg0GSbf1ufnq1armT59utfbZAoZ+mHSUn2s8wdajAd49fiPbCjehslh4sNjH/7uMEBLXD3506Wect6Wd5g+rT1PRnBD7TEITupirtbW1sbbb79NS0sLAPfcc4/PKRVvMBgMXlNzkcmQyeSIgkCrfzwBWgcmm5pd336FWbsHhWog29Q7CRT9mOYcSImijmHHItBlhiIINtxusyewzGavxZsd3M/1LbxbXs+wAD339Y8hVHcadvKnIG/PDmoK8hg4dRahcafv2qwzqFlwg/fQxJtnpfL8r7kkher57KqxgGTlnb1tE4gi3z75ILd99RM7VxVSVdBCm8lBzs7qLqvCuLg4brzxRoxGIwkJvrUnky64lEkXXNrt71ptNBPGb8LaVoq/IQOZTMHF0SEkaNWY3W7mtMfXBy0cQOuWcnRDwwk5LxWZSs7ll19OQUEBqampRJ6SKP5r617uipEqW3y5ustxG6/Q8d7RLe2BiNv4ryuC4iLY7OrHmDQH29NdLHr/G6L9ojE3NeIXHExVWCQDSyRStT8pii61iJIdULwFMhdC5ECvr7+trRKj8QDBIRPQqP+aqbHThUKhQKlU4myvRP1Rl3KZStFrnKNGqeBfU/tmOiaKIjKZjLq6Ot5++20POT3VfiDpi88wb9qEIj2NBY2XIopa3G4rcnnPsRAyhRxVZO9aE4VCR0zMkl63O3d4HOcO7zl+IWV0JMHRepw2N1HJ3s0kvSF/fy0ndkotrJ9eO8zSOAN7W+5HMFcyvL2Qk2kSyLCvoVwRSrzQSGq2jUWW5awMuJGZaVfgksvRtf7GsF2rmT3Te8CuUqVC5x+AuakJe7Ef/tOlc86eI7l/W/0K/ENY+gxREJCfjPM+aRynkDPqrEUc37yeNa89x9IHnuxRaJgxaRopYycil8vbdSz/95DLtZSXfcBU927CA5W8W68i0u/3G/a1mnORy9UIggNBcHTc8MVSKJAyTbjyN4iXSq51dXUesgLQ1NTk0xW5xmjj0Z+ycboF7l2QQWKo75OQTCYj4YP3MX7/PRPCAzheHUxYkIPsTRvZjg73QAUqWikT2vhMvhVBJjJ9sZSho1aHMmjgK9TW/kRY2HQiI7qvsgVR5MbsMqI0St4qr6fZ6ebljI4LeXVBLr+98xoymZwFN99OSIzvE1xlbg4/vvAkAPt++JabP/sO5SmVhIaGBrZs2YJOp2PmzJmnNfJ/ybhELhnXVbAZGp+ITCbrMrHnH6KhzSR9ZpH9umuBQkJCCAn5/S0KpdKfAP9BWK3FuFxm/P0HMSWk69ilt8yfuLi4Lm2gzqi2VKOWq3F0PtZOorXak97sdsoo+1EODjnTqCAtaSSDb3iUMH0U3z7xAKVHJHO48VffydafV6ILCmTJg//t2FdTEXx8Fohu2PI0/OcYBHUllg5HI3v3LcDlksT4EyfuQKvpWzXNsr8W4y9FyNQKwq8Z0qU92RNEp5OGN9/CUVFO6JVXok3rXsrX6/VceeWV5OXlkZKScnqGnM42sJvB4Ltq+EdQUvImRcWvoFDoCQ150UNWvEEZEuKpAA03fUx1zSqCgkYTGeF7utFoN1JtqSY1OBW5zHd15a9AXzLDLLv3UPf886iiIol+9FFCog3I5DLJTR3YLDxAm7uZ+pZfabTbMCi0FGImcfBSzm15F4eo5FzrY8hxc0/CfzAFTUSUK7EEnU9S/PpeH19tVSM63Gj6S6SqqrwUQROEv/7Pi975M/EPYekjREFApjrFOE4pQ6XWsODfd/DFfbdxYudWBs/oPr3RGadeiH7XcxFF6sta0fqpCPARbNVXGI0HaG6RItIztS4eHn0bZ6Zf3uN9DpY1c7C0mTMGRxMb1PXx4+OWYbHk4XA0MmBAu6eL4IbCTZJ9vbEM9rzlISxxcXEMHDiQvLw8hg4dSkSED5EG8OrGfLbl12Oyufg1u7ZXIZ9mwAAi/vtfIoBMwOVwUJkdhSosm7hJUhUoP28cNTUpLF++3DM9kG+xsco8lNExExgc6l3EK5fJSPPTktUqOajOPmW73au+wmpswdLSzIe3/KtHi29R7D048JdffqGhoQGTycShQ4e49957e71PT4hNy+Cy516nvqqCogYj3333HRMmTSQiKQClSk7SkK7VAVEUybHYCFEpifJh899YUY5KqyUgzPfFrb5+PUeO/gsQMRjSGTvm527bWE0Odn1fiCiIjFuYjCHYNzm7KP0i6qx1NNmauG7oKaGFkYNgxn2Q9yti0lm4V70FMilWY9SCSwlI7Ie5uYnSI4dQKJW4XS4Uihqu++Dl7g/kdkpkxfN7d4LkcDR4yAqA3V7bZ8Ji2liGXK/C1dBG3euHiLm/b87gxh9+oOHNN0EUMf3wY9eE7E6Iioo6rXgUAOpOwIfzoK0ZBszuntHV23Ort7Lru0KUagUTFw/AWFdK2bHDDBg9zkPgS0rfQqdLwGotoM32KuPGXUlVVRXjx4/vUl0RRRFXXR3K0FBkSiUBAYMJCOg5Cb7UVMqFP11Iq7MVpUzJwUsOetWNlZvKuWHjDRQbi7lz9J0sy1zmc58lJSVkZWWRmJjYo0akrzjx0B2YTY1EHD2KefsO0g8d5MIHxmCsbyM+PYQNn+RQVyUgV2fQ2JZDI3DNy+8QHBXDuMeno5ArqLTbmJcZTrU9AoUgw9XOy0KCez6Pq3U6ZLUuZGo56jhJv6KwNhIU//tH8f9q/ENY+gpRQC6XvkAnCctJH4KTq9Sw+L927PAkdnxb4OmP/lF/hoCAIej1yVithahUISxMX45c7ptU5de2suStXbgFkcd+zuHoQ3O6xAKoVMEMHvQqdSYbq49Uoy3PJl6rYdS0h1Dte11yhj27IzZAoVCwZEnvZViA5HADJpskKI2J8uNwq5UhBl2fxatKtZpLnnqZ/fuXIMhlOBw1pKTu5tprP/Pswy2KLM4qoNnpximKPJMax6Wx3kv7K4cls7mplUyDjv76rhfVhIFDKDqwF5DcMwFcRjuuhjY07X4HJxGXPpAFN0vTNYOmzfJKav39/Slqz/vp1wevnR5x4mey1qzgi6Y5rHX5YxJVGEJ2MS7/Z967w3t2zMOFVbxVLhkMPpUax/JT3pPdq75ix1dST33SBZd6TXwGiSDL5VoEoQ2z2XsMwN6fiinOqsdudZG7u6abYLEz9Cq9b/8NmQym3A5TbkcJxDybjOmXX/CfOYOAOdLCwi8omEHT53Bs06+ExMQxfN6Z3vcVngZLP4HCjZK/UGj3dofBkMaAAXfR0LCJ6KhzCQzw3qLzBt3AUMzbJC2ZzxgIL1CEhPSYFfOHkL9OmkgEKPjttO++89tCaoqNUn7Wzjyc5o8Q3C62ffERV7/+AQFhEURFLaSyUprsSku9n4BR3sM3K/9zC63tfl3J69aiTuz9nHe4/jCtTolAukSXz/PEj0U/UtEqxUk8ve9pn4TF5XLxxRdfIJfLycrKwmaznVbkzKkQRZHdQY3MKJGI8O7ZsaQDwVF+BEdJ1eMZl6bTb2gYfoEjCAwX+bJ0JUu3X8aQsCG8eck9fL6ngoExASwZGM2bt72EzBaGS6tnSFURr25x+fRUAkgaNgrZCTfqjEBkCjk7D+ejxsXQjN4jZv6v8A9h6StEoSM51nWyJSR9AWoK81GoVET0862aP25u44qjxVTaHbyWkdglD8IDmwlWXw8NBdLKMMP7ybMqr4WAMC2mBhu7viv0SlhePPAiX574kv6B/flg7gfdjLtOQqn0Z+yYX3A6G1GrIzxfakeVGXuxEV16CMrQjiqKsc2JW+g4QTq9ON8ad1Wy4Pv91Mukw+scs4qDrkHc8Fauz/enL7h8YhKpkf5kt9l4rKmRufvziFArOTKxuwBUFEXcLS0ogoK6nKg0ej9SM/5Dds7dyOU6Rgz/rMvtoggOQUSnkOF0iR5RqDcYlArOjAjyetvIBeeQOHgYCpWK4OhYnHVW6l49hOiU9hf7xKQuk1ZpYyaRGJCJQua9mnDmmWfSr18/dDodqam9n1C+r23mvYp6RgX6cX9yjCfLRBBF/nMgl5VJNzLEmoW1VdL/mJumMt+vjB0friMwWiS6qpqAeXNRxUhi561NrSTp1JS0Obgrr6IbYSk9cgj/sHBaG+rZvuITqgapePPwm0T7RfPqzFc9tvRxcZfQbDxKm7OVIenedVyGYA12q0RMlT1NvIsi7HoNijbD8Etg4DleN6spMmKzOEmYP7/bmL1MJmPuv/7NnGtv6p34Zi6U/veAxISrSUzwHZvgC0EL+mMYF43cT4Vc2/fTsv/06cS/+w6OsjICz/RBtn4vBp4LBz+FxnyJ+J0mAsK0FGVJJDciUUv5kY7ptZNRC+lpj9Av6QZUqiCfkzOCzUbrunUowsJwNzTQ+P4HRD/ycK+PPyN+BpNiJ3G84TjXDr3Wo5U5FVPipvDx8Y9xCk6mx3vX/YF0rKjVasxmKZfIZx4c4HY5MdXXERQZ7dE+ettf/lUz2LpzAy0GGU8ve7TbNkqVgpT2FqnVaeXlrFcI0gTxa+mvROgjeG6JVMV2NTcT3HKMiceCsERK381gwYDLaJeGPrwgJDKGoFwDmvb27/5jubhEGVOG/z0nhOAfwtJ3eKmw0E5gnLY21Dq9x1LaGz6pbKDR6cIlwr+yS70TlqPfQM5PgAhfXQwPGb3ua9w5/dmxsoCYlCDmXNVd/Gd2mPng2AcEagI53nic17Je447Rd5zyekQpRr5oM/IRl6IZfJ7nJpfRTt0bWeASMf5YRNTdYzwH/cjEYB5dOJC9Jc1cODqeEL8OgazFYqG5uZmiFeto0oShE6y0KfTUipWkkHjKw4tUVn2J0XiQ2JgLCAryPkbZGSZTFkm64xxSTsTdJH0GdY7uZmei20351Vdj2bkLmVpNyo7tKDolOAc6JjA2ZgMaLwZrSrmMFUOTWVHTxNhAP8719jn1EWEJSZ6fndUWD1nxhqavc2k7Illy+0+L75aJpFKpGDZsWJ8e1ymI3HyijDCVpK9pcws8nSbpLXa2mDkeHcoiVlGYnMbk4yXUCgH007kYpNSgz9Vzh9zG7qg0lj31Eg8++SAKPz/u6h/NAwWVDPPX89Hg7hWecYsvYMP7bxAal8DC2+9j4eYLCNIGcbDuIFetu4qvz5LylopdwVzedhcNThdX14fxaFD35z9ybiKr679Cv/0YsScO8trbE7jx2ne7b1h1EH5tDxQsWA/RhyCk66Ihb18Nv70vjWOrtAquecm7z0xfq3R/JTovDE4HhsmT/+Rn0o6gBLhpP3QyzTwdjD83maj+gSjVChIGhpCzXUNJ1gEyJk/vIiw/mfrtC3KtlpDly2n6+GOU0dGE3/KfPj2+QW3gzVlv9rrdoLBBbFy6EavT2uOEn0Kh4PLLLyc7O5v4+HiSkpK8bme3Wvjs7v/QUiOJZ//96beo1N5JwwszX6JgZAExfjFeJzM7Q6fUMSx8GFn1WcgEkbMrozBv24bfpEm4GxoYkXeYUlcGscFzEBGJEYIRWh3gg7Bo7DqUcjXqdsJSU1mGoAnGoPv7ROKcin8ISx8hEwWPUFZ0d62wKJRKXHa7pHPx8cWeFxbIl9WS+dmyaB/TJDHDpRFmL/3xzkjIDCXhAd8TKX4qPybETGBn1U4AlqZ6Kc9XHoQN7auU4i3SY7eXucU2F7g6KieizeU56GUyGZeMT+KS8UlddtfY2Mg7b7+Ns82EvuYY0wzpFBqSibFWME5MByWIgughCC3G/eTmSivsmprvmDolC6XSt0ittfU4+w8sBQTiCGBiyNcUtzl5eED3cWdneTmWnZLpk+hw0PrrbwQtlpxurYfrafpSakUoAtRE3zO22/2HBegZFvDnmibpMkPRD4/AUWUmYHp8N6LkqmuTjAUbbViz6roRlpMQ3G4qco7hHxrmMWXzoLkUGvJQJk4kVa/lqFnywfF4uABRYgV38ShyRIiArIIFJLpCiI3Mpjz5ANGHrycnfDpWnZx3zr2IB9pFkHPCApnTaT+nInHwMK546R3P7+NjxvNLsWT3f8OwGzx//7G+BZNL2ue7FQ08mtJdTCuTy6B+G+dsbZ9weHE7wuUO5KdOj/lFgFILLsmHB03359dUZUGpluNyCDht3gWdbW1tnDhxgqioqB4FqU63gMstouthnFfyUupY3Pxfo7l5N06nkdCQaYiivE8aOlF0I5N1ev59JSumaimcM3QAZJ6DXCEneUSHJi1z8nQyJ/uuYPSEyLvuJOKO232eX/8o/FR++Kl6nyQKDQ1lci8Esb6k2ENWAFpqqgnvtHjpDLlMTmpw31owMpmMD+Z+QE5TDiEf/kzr009RDuhHjybhk49JuOnfhGzahD5KhsyvH/oRkV2S60+FUGHDJSrQxAfgdLlRWBsJSfQ+/fZ3wT+Epa/ofBLqlNYM4B8WgdNuo7Gy3KeOZXpoAFkTB+ISRCJ8iBaJHQE3HQBjBcR3v5D2FTKZjDdnvUmZqYwYQ4wncK4L/CNBpQenJBpF11FJUEX5Ebw4BVteM/rhEX0aCayqqgJZE8NG/Iq+Ucm/wvfTJtPxUfB5yGojuvlHKRUG6GQs1eUE6QUORyMnTaQCMLFiSGK3pFPP809IwDBzJuYNG1DGRHfxqHFWmZGp5IhOAbepOzGsaLZy+Yf7yK8zc8e8NJ95PC5XK1XVK1GrQomMPBNZLxMIMpWckPN9l1oDzk6i6IdsdOk6ki70LeZb++ZL5GzbBMD05dd4LNOpz4W3p4DLhgxYcXsNe6x2Bhp0nmRXgEi1jNJOH4ZNLk0DaDSSsVZOUB4m5QRAh0qwo/D3x+FwUFFRQWRkZI9lcFF0U1r6NmZLHncPvYzlA5cT7RdNkDbIs81Z4UF8WtVIvcPFtXG+V7OXTr4Zx/s3IxdOHh9eKiBB8XDtNijfDSlzwK87iR86Ix5jfRt2i5Pxi7x/lp988gnV1dIF5uyzz2bEiO6eO8cqjVz6wV6aLA5PqOGpMNbVsvLx+2ipqWb02YuZcnHPosc/Ew5bGy6HA31AB2mrrvme7OzbcKHkMMOQvS/jDHcIQckzCZwzBv+pXaecBMHO4cPX0NS8neDg8Qwb+hFyed8uEfaiYvhmOVmKEj70U5Fy7D3+veR7VD3o4U4XvZIVpw2sjRDYs73ESbhF0dMq/TMRnZpG8qhxFB3YS9qEyadlU9Dc3MzOnTvx9/dnwoQJKE+JmlApVAwJH0JFxfsow8Nx1ddj3bdPGgu/aBmvTpxNvFbNbf2ifEadnISs2o1F0yrpVw7losbNsMy/r34F/iEsfYZMFFGcFNm6BVBIAVPNNVVs+fR9NH5+KFU9+4eEqPrwdgclSP99wOZ08/72Ytocbq6c1I9gP++PKZfJSQpM8v04gXHwr+1QsR+SZ4C+67iq3+gonxbW3pCWlsZzRWl87L+APTEX0+bSEU4Tl/Adn2tGkZKc1qWq4O+fwYjhX2AyHSIiYgEKRc8VjZCQyQxIvgOT6Shxcct8khWQTmzxr7+GYLcjP2X81zBJ0pPYmkxop3cvRa/OqqK4Qbp4P7M21ydhyc65i8bGjQiCg+rqlQwf/kmX20tKSqioqGDgwIEEB/feVrpv1zq+GJKGKJNz27NPEjI/jGn9Z5Mc1FXcWVOQR3B0DM3VVez/6btOhOVER6UBGP3oeoqe6h4Y6O+XxqDMV1hXtpGvWoYRY2gizZGPUuUgL3c8UyrH8aT2RRrVWi6Y9V9EUeT999+ntlYy5zr//PMxmUz079+/W4xDff1vFBY9D0Bt7Y/MnNHdAyLim69Y+fU3qMePJamHSaeUMbNp+/obbDnZ+M+cicxXZSA8VfrvAzp/NXOv8m3qCNJFIjQ0lMbGRkpLS70Slh+PVGFtbz++taXQK2HJ270dY530Pu374dv/GWGpysth5eMP4LS1kTllBmfccCsAbdYSWp1hvFB2LQ9WfkbMoSoQZLRmbeKo6SqmxV6BboB0bBqdLu7OPk5R82SWUg7Nu7BYcvH3P2XFXX0EDn8pLajaNUMtK1dSfZ9ULc0Z6EfVPIEdtjLyN9zMW7Pf8Pm8XS4XLS0thISEeDWMPC0YK+G9mdIoe0iytPDrgYzclVfBR5UNRGtUbBydRnAP52aj08UjhVW0uNzc1S+aFD8tpY0W8mrNTBoQ1q3iplCqOOf2+077JTRVVfL+u+9gF2W4gGPHjnH99ddDUzHseBkMkTD5VlBqiPjvbXz24ue8ok7HL9DAl41Wbi4qp8Xl5ru6FjY3tfLraN8LpKq9xwkiDFv7oNXeIzm4RDlThv199SuAz6y7f3AKZHQEFoouEZlCRmtTAyseuAOlRsMlT71MUNTv9y/pK97cLGV0vLapgOGPnr5yvwtCk2Ho+X+Kx4JVJmddwGjsMh0/hU0jvD1VeIfibMZMGs6C67ur/4ODx5CYeC06Xc8mTCCtsBMTr2Xw4NcIDh7Xp+d0KlkBUPirOezexle7H+fjJ//N7m9XdLl9elqE5wQ0JdX3++J2mVEqpd6vta20y201NTV89NFHrF+/npdffhmHo+cWH8DmcANhSALF5yeeSca1X7Dou0WUmcq6Pr/l16DW6UkdN4nLnu2YtiL1DAoTlnBY6M8Njn8jePtql+6CZwcQ+dZFnKEYiSJsHM3x6ZjNYeTlTqS2dgCBrgFMOHwT/huXU7S9GIvJRG1trcf3ZeXKlaxZs4YX3nqblbtzuHnFIT7dVcI3VTWcue0Lbq0w8E2zGkGEmkcfo/CM+TR+9JH0nrW2Uvf009BQj+2LL6l/7bXuz7ETdIMGErxkCco/4P3SF5x33nkEBwczZcoUFi70Lqo9a0gMfmrponbDdO+GaP1HjPFkiiWP6tsx+megYP8exPbWXfbWjZ6/x8dfztvHbiaitIXJ5qyTBUoAcuVlrN6z1vP7B5UN/NysIEs2intkL6BUBqDXn0LW3S74ZCEc/AS+uQx2S/oQy67dKNpJ+djjIsVqiVxuOBjMXd8e8fqcbTYbb7zxBq+99hqPPPKIz+/Id/nfMfWrqSxYtYAaS43vN6F0h0RWAJq8m6WdRKvLzUeVDQQpFVTbnbxU6tspF+DtinpW1Tbzc72RyXtPkF/byuwXt3L1J/vJeGBtlyGEvqI8u4nsHVU4bB0avB1ff4azzYpLkD5LTy7aDzdB7hrY8hS8KbmWqxMS+Cx2PEFhQVSaHMx9aSvhaiVVdul9HBHouxIqCG4qVh3ALrbRb+E43G6B+pJc3AHR6HxV//8m+KfC0kfIETrKc24BFHJ+fvlZ5AoFFzz0FPrAoP/J81DKu5p9/R4IosjOFjMBSgVD/LtWNpy1tbQdPIh+9GiUYd3HeZ02G0c2rEWuVDJk5lyP0DhAqWBEgJ6DJrgt9XYmLLiHfuEJLNb2LYywJ4iiyD6jBYNSQaahd2Fitbma7MZsRkeP9kyndLk9/wSBkVEYa2vY8fVnnrwbgMyYAHbfPROL3UVEgG/zpPT0xyktewe1KoTExK7+H3a7vcvv3vKcusDtYqbsW741DyS61cCy6p0cHHEP1+xR0zStlYROL6HfsJFEqZMkq3Gh08lFqSb2krd56Ifj1NWb+XiGl9HYAx96vETCf7yOL/9Twu6sDZhCDBg0/ehfHIB0VZMzzV9F/W8WfvjmfuZeexEHDhwgIyODrKwscqMS2Zw6lA/b7AQbzaxeXYV8QAV+Ksl8bYdZiaoimLjPpXHVuqeexjB5Mup+/dBkZGDPkbxCAnzkv4huN80rVuCqqyf44otQ9eDN4ygtRREYiKKHxPQeYaxggNbIgIsu6lGrMSg2kD33zMQliGhV3tuXoXHxXPPmxzhtbej8fR/3ZaYyPj7+MdGGaJYPXI7SR9vleMNx8przmJEwg0Av+pyTGDhlJnm7tmGsq2X68ms8f1epAkEZT43GQL4iktcXQXqxjF3pMgw6K6MSO1oV/fUa7J3OK1Mme/EskcmkPDWh/SLb/rxDr74Ke3ERitAQgp94mJllWfx8QMDZFsOKfeU8tbj7YqW2tpampibP742NjV71Q28cfoMAdQAlphIu/uViNizZ4P1NSJkNsaOgcj+MvsrnewVgUMg5IyyQNQ3SUMNVPbQmARK0ato6kZLCejMOV+/eSb5QdKieNW9LjsybPj3hGduPSOyHes9OZEFhhMfEcvHFF0t30AZKXjgg6YPaMWdgFG9tkcjZs0uGMDUzku9qm4nXqpnuwz8KoProCSKFeGTD9SjUKr5avwe92MakqRN93ufvApn4R69+fwOYTCYCAwMxGo19Tus9Xdz34COEpY3kPxctwLShDOPWUr4+8TRL7n+chEF981vYW72XJlsTMxJmeNeVAILNhbPGgjrWgMzLidHhEvhsdyltTjeXjE8kQNudEbucLvb/uB25XWT4/PGoArteeB8qqPR4alwWE+qZIHGbTBTOmYu73Xk2ef161HFd+8Hr33uDY5t/w+10ovUP4Ib3vuh4boJAttlGil6DsHUr5i1bCJg3Fz8fXgUlxhJONJ9gYsxE/NW+xWFPF1XzYvsq6NKYUJ5J890TrrHUsPD7hVhdkjZn14W7uqnvy44dZstnH2AIDmHudf/p0vf/XRBFSXdkiAClBlEUOXDgAGVlZYwcOZLExEREUeBE7n3U1/9GZOQCUlMe7LggrL2HKfWrUTRpmL8zGnm78bkm6BYmLB7AiDkduqi2nEYaP+4IIYx7qmcBoM1mY8OGDdhsNqbEywhZey0KwYF78l2sOaag9GgWtlbJa+OGS86nYXtSt31oB4USOD8JZbCOY8eyuKGmlkZVMI2iVHXRrqtENwRkwrMo3FIwXnyriwffh4D2/MvU/ftRGPyozjlO7pqfSJ46nfiR3gPmmld8Rc0jj0jTKeDTDK3u+edpfFfyjfGVDN7qaOX1rNdpc7Vx3dDriPLr1OYs3wcfngGCE7RBcFdpt/v/Fbj4l4upNldT31bP0PChfDb/s27bHG84zkW/XITQbip45NIjPU4ynTyNn7pNQZ2ZD3cUExfk5oOKK3Ej4hSc3JJ+C1eMvaLLtrtbzDQ6XcwODUDti7zVZsORFRA/DtK9O8wW1Zu56N091JhsXDw2gcfP7W7w5na7WblyJbm5uQwaNIhzzjnHa1voyT1P8sUJ6RzzyvRXmJ7Qi2hXFHtsBXVsJlLncBGmVvaqYxFFkS3NrbQ43cwPD0QmwiM/ZnOsysg1k/tzxuDTq6wf2VTBjm/yEdpJ0EnCIooi5cePIlcqiE3L7PgsbUY49LmkOxy4qMvrK220EKRXE6jre2XkyAvfE1AbQNx9E1D6a7n9iZdBEHj2vltO63X8WTid6/c/FZY+Qo7oqbCIbgGHo43Y9IF9Jitritdwx9aO0WJvWT2CzUXtiwdwG6WyXvT941D4dT0Q1Uo5V0zq2ThszRerqXN+SUxcDj//FspZ5/6KQtFBWo62thGrUVFpd/JxVaOHsLgaGz1kBcBZXtaNsLgcDpQqNW6n03Oh8zw3uZxhAXocFZUU3nADiCItX31Fv1Xfos3M7LJtibGExT8s9liqH1h2wCeJO2SyEqNRUWV38klVY4+Epcpc5SErAC32lm6EJWHQUC55qsPN1OkWUMplv3+09fvr4XA7cbtmC7KYYYwaNYpRnRJvzeYcqqq+AqCi4lPCw+YQEiKVdx2VRp4qvQ+tS0OW+heaHVLpOybZD62fik2f5pA2PpqYAUGIPiZdTKYjmFqPER42G42mY8W4a9cusrKycDqdHD0KK21vIAN0v/lxv2M/Dqv0XgWHh6I9dh+hqlQs7qnYhEmARJjra9dxZP97iEob4eFzma8w8pZwI8hgpqWJg4lvInfV49Bk8pnFxbDqo8iB65eH8+wJI7rbvkdu8MNmNvP1kw/gsts5sGcb5z/0lCeE7fegdcNGVIkJOEvLqL7nHq+E5b2j7/Fd/ndYXVZW5a/q+r2r2AsnXYZtLdicbpRyGUrFX9sp91P60eqQDM2ifcRg1FhqPGSlL/B17A6IMHgIw6iat/i56GfGx4xnblL3dO5xQT2P1QIQmQmzH+lxk/7hBnbcNQOnW/BZjVIoFJx//vm9PtxdY+7iooyLCNGG9Lio8eA0EtAj+9j+kMlkTAvpeiF99JzTO24Fh4Pqu+/BevAg0ZddzpCZ4zE32Rh5RhIgBeo2fnkC+QkT+qHhkAqewCZtIIy/3ut+e4on8QZLYzN+1Tos4VaU/lq2Hc7Dz9HMgLHeq51/N/xDWPoAt1tALhNRtWtYBKcbp8NG6pSeS2hVNgc5FhvjgvyoaK3wnXnSDlejzUNWAFz1VhR+p7/6t9hbSUw+hMOhwz+kkry8h8nIeNJz+/3JMTxUUMlgfx3Pdrr4a/r1I+KOO2hdv56ABfO9VkamXnol+qAgFEolo8/2nuwqUylBqYT2sDWZlzDDSnNll/fC7rb7JCx39Y/m/vxK0vy0PN8DWQEYFjGMqwZfxd6avSxJXUKcf8/6mKfWnOCdrYVolAo2/ncq0YGn6YUhipJ/TugAaCyAjY95tTDX6ZLQaRNos0malM5ixlblcmLcTSgFPXNiL2Nz3UNMCikgOuJl3vtUMiHL3lHN8qcmoh8aTqDJjrO+Df/JEpk0m3PZf+A8RNFNbu79TJuajUKhaX8cf0/oHYAg88MqirQikqIcjWlyOFa3i1kRVZDvRKfYi06xl+KxE2g8UIV/cwCNceupPxyGU7DhGryeCf6BjHReCqJIc8oT2I6VoWgQyIvby4jaGux2NRqNg+eLmmmoTSd+gPQ9EQQ3gquDcLl86BaClpyH6HZ5WkK+EHb99dQ+/RSqhAQSPnjf6zYh2pAuBLYLhl4oOdc2FbGt381c8dA6nG6Rjy4fzbQ0322ozlidVcnne8oY1z+UW2al9In0PjPlGb4r+I5ov2ivxAFgWvw0rhlyDblNuVySecmf4hMzOmo0o6NG/+H99AUKuQzFnzDaLZPJSAzo3dVWFAQsu3Yh12rRjxzZp33X1dVhNptJSkr646Lfzqg5CuvuAbUBFrwAAdFYtu/A9LMUQ9Hw1BOM278PRafQVkd5K7bjUnXSerAO3dBwdGkd2i2n04jZkkeA/xDPd/t0IQoCB19bSZI8jfAl0kL7lw1bEWQals76/VOp/0v80xLqAyw2O88+9STxw6dy5cLpVH+ZRdO+YgKvTvG5Qiy3OZi294THKfX4+P68duhFmtqauGH4DV5n70VBxPhTEW3ZjehHRhI42/sX1eVyUVZWRnh4OP7+3VcdLc0t7N6xFJVe6m+OHr2aAP/fv5L9PbAePIRl+zYMM2eiG9h9tt8tuHnl0Cscrj/MxRkXMzvxf8/wBUEk5b41xAbpKGuyMiczkncu7d3Arhu2PAvbngN9KFyzWWoNeYHb3YbFUoDBkNrF1dOyv5bmlXnSz9r9pPGQ9PP0l/l4RYLHef2KZyeh8+9O6pqadnIo6xLP71OnHEbZbhEriiK5ubnYbDaM9QaeWrcXl9rBHNURwmRGSukggA9o3sftbqUm/jK+/qVduCjTUTJ8CAkH9yAHtAoD86cvBLmc6IkxyFfdgKuymqo9QTijU8h4YBHmnx+kpNWNaWsQmXc+RtB5HaaEJUcOkb9nB8kjx9J/xF9/8RREgV9LfqXN1caC/gt8kuKzX9tOk8VBRbPUw+otpwqgzeFmyMPrCNSpaDA7+PeMAdw65/92ykIURfb+VExFTjOZk6LJmNDdp6g3WOwu1ufUkhxuYFDsH2uXiqJIW6sTnUHVzXvoz0T9K6/Q8IYkAjZMn078m76nkwAKCgr47DOpFadUKrnvvp6negTBxYnce2lq2k5szIX063ej740/Ow9qj0NrlfT7Q0acVVUUnbsIwSjpZtKPHuky+SbYXNS+egh3Y8ekn9+YKIIXpeBwNLF7zzycTonQdP5+9xVul5N1b7xMv9IU/PqFkXDjRHJKq/nyg7cJSx/Dvy/0HSD5V+OfltCfDHv7OGPnlpAgulH0YMJUaLV1tXWX63lw/IM9Po5MLiPo7GSCzu45lv3TTz+ltFTqt19yySUkJ3fdPig4iLkL1mA256LTJZz2wf1nQD9iOPoRvv1EFHIFt4z8v+mZnoRcLmPJyDhW7JNyme6Y5/ti83VNE88X19Bfr+G9gUn4KTutHqfeDlNvp95aT7GxmGG6IK8XRoVCR0DAYA6Xt7Atv4yZGZFkRAfgNyqSHQHwRFEVtcpx/BT4NsmJw/CLSGdhdDNV+S0MGBnhlawABAePZ0DynRhNh4iNuZjW79bQlpVF8JIl6IYNIzS0nNq6X8BiYLK1BpU+gHMsq9ndlIRaK8MRHota08auSQnYnDW4HaXYIuNRydLQWsJJPPiVpzo9JHgKispE5DY3DflgXqNH1e8scieMpcSRwpEDSh5LCpVCBofAkbPmwdq7wVwLU+8kachwkob88dA4AJfTjbnJTmCE7zwpuUzOvH7zet3XRWMSuO/7YwB8dHnfiJRaKSc+RE9RvTQGP6afbzPH/xVqS0zs/7kEkCIJovoHenJp+oqrP9nPzkLp4njfggyumuw7cqQniKLImreOUnxYcnC+7MkJGIL/mhRgW16ex5fEvGlTr9tXV1cjl8sRBAGXq7tb9qkwGg9QXS1VTouKXyQiYj5+fj7el6jBHdlLQ6S2lyomhuS1a3CWlqIdOBCZSoUoihzfvB5TQx2Dps9FvjgF+aZyXJWtiFY3lr01BC9KwWot8pAVnFB+3fXYd2cReN5iou6/v1d/mur8XDZ88CbqeiX+YWMJP1tqEX7180ZcMiWXnjWt19f/d8E/hKUPsDmkkrqqnbAo5CoE3Jibm3zeZ1KQP1fEhrHPaOHKuDBC1X/OWy0IAhUVFQQFBdHS0kJWVlY3wgKSEZu/f6aXPfw+iKLIu0ff5UDtAZakLmFW4qw/bd+9QhAkYaSy91JoXm0rX+wpIzM6gCWj4notpT+1eAi3z00jUKfqUbvwUEEloSolm5paOS+rkDWjulbIylvLOe+H8zzth4OXHPRqmlVnsrHk7V04XALP/ZrH+lunMCDCnzmpkcxOOZnl1NGKi00NJsLPiqPkKGLoyI5VmSjCzlehcAOyYReTOESaDrHu38/+Zx/gULKMzBtWMfnndRw9dgOi6IYA6Bc2hMIWOV+bR7J93GxsqJl/aAfTtUUYnZJ25sjxOAiNxCq2IHIQpUXwjMQe0MTSr11HI5hr0U27m+pAJwNcARiNMhqyXCjHqHAp2ts9+96Hfe9J7s3HvoWHjIiCQNOHH2IvLCLkskvRpklE0eV0o1DKu3xmFqcFvVLf7XNsMzv4+ol9mJvsyOUyrnllKgrl7y/rXzAmgYXDYlEp+q5hUchlrLpuAtvyGxgSF3jaeoK/Av7BWlRahcfV1xfJ7QmljVaSw/0orLewKbfudxMWu9VF8eEG1FoFDpubo5srGX9uz4ux34uIW26h9qmn0Q0bSmQv1RKAkSNHUlVVRWtrK7NmzUIURJD51gL5+Q1ArQ7D4ZDIl1bbg0fVjPuh/zSpJRTX0Z5SBgej7OTJdGL7Zta9JWnpdq38Em3wrQQqYHqCAYVaSchFktdPYOBwYmMupLFpO2LOOWxyRKMZOIHB37xD2L/+hSrSe7SBsa6WtW++SEX2McKT+jMhczFqPz2ahACqGlpw1RZiSMgkyPDnunr/lfiHsPQBJyssqnYBmUqpRqaQU5F9jJTR3idglHIZT6T27i9yupDL5SxYsIBdu3YxbNgwzvyzA8984EDFPl499CqDbHZit67CIouhbo8Oh1HEMT8I51nhpKY8gMsax8G1pegD1IxakITSh+jO7XYjl8t77803FcHHZ4OxHEZfDQue63HzKz7ah90l8NHOEnJqTDx4Vs9W06IgEKwUO4ItfWBikD8/1rcAcHNi9xNEfnN+F62ES3B5JSytbXacnUYirY4OTYe398KWm0vJkqWI7XoPz8RMzRH4rT08sGgzRA6CyEwcWiX3LFdg9JP2dW9NEZ9yN4GuGmIrtnAiykWufwBRfhMpTUjBrtGRkzKUkG1rCTevxM/QjLxNi8sNyKH/iFKqd6hxGjXEjagh7vuP+XnwMpoCjGQUfsSWeSmsD9oDwOV5EwmLtJHsGIg26Ai3T30PWX0xuB04hVhAhgpoXbeOumelz9G4ahUZJ3LY9X0hB9eVggjLHh2Hf5iWJ757kObyWnICCllx9ucEhHZcJOpKWzE3SePjgiBiMzvxC+pOaEVRpNbhIlSlRNVLS6Iny31fCNKrOWvo6bdd/ir4BWm48IGx1BabiEsPRuvX9+mRk3h2yRDe2lLEtLQI7pzX3SCvr9D6qcicFEP29ir0AWqGz/FtiPlHoUlOJuHdd3rfsB16vd4j+jXvrabyvZ3gFoi4aTjqmO4VabU6lHFjf8NqLcDff6DPoEZAGo/v7z2zqjPcbrckEm7v+eoD1BhNDvLiAph+ccf7LpMpSE9/jNriQr584xEE1w5Ufmexb9TdDO7BlPLoxl+pLylm/k3/JSl2KI1vH8P/Muma9OmPGwGRS8+a2evz/DvhH8LSB9icXSssoltEG+DP8S0rmbj0YtS6P4mh7nxNMmOKHgpLPgJlx+qotbGBmqJ84jMHM2LECK9unH2F0+lk69attLW1MWnSJILaPSzW1LfwQkktqX5ankmLw69dZOwoacD9yWe0DnuIa9Y/T8uuBA72X4w83EpG9ddovijDGFDInuYzMB36BmN9G5YWO/n7a7nksQndHn/Lli1s2bIFgBtvvJGQnozBcn4EU3sveN+7vRIWtUKOsU36vPx6qWo5Kiopu/RSnFVVBJ57LjFPPuFz27cGJnJdazjxWjXh6u4Xgcmxk1mYvJCjDUdZPnA5OqV38W7W9vVMU1dQ7g5kUoIfQ+KCum2zr2Yfbx9+mzj/OG6oHughK13gFwEqP3Ba2n+XPHNkKf1oPaBAgYIoSwRv58u5qDydusZmnO5xjARkoQexCf2xa6TnGOiwUy7YKD+4AJlMYIElj43ugSjcOhRCDoOW7ENUyNDtkZM3YBGCWyDAnEhR/9vZGPggBmcwZlUzv2Xs4JYwG9epBewNGnY/XUbgFdMIH/0dzduk90y34gSauO596sMbygmO1NNcY2XTZycYMk3FpXtnIUcO1VA5cTrmxYuIefxxAGJTgkgYGEp5ThMZE6PRB3ivJNyQU8aqWsnDYvvYdAboO1oSzloL9mIj2vQQlEHS3xsryik5fIDEIcN9xmz83eEfosU/5Pe3XiYkhzEhubsH0+/B9GXpTLkw1eMS/qfh8ArY/yEkTZKS7XtZ+LhcrRQWvYDbbaV/v5vRajtIpnlbJcpANY5GK2vfXIUwMoAJEyYQHh7OCyW1bG5q5YLoEC6OCSUw8Pefdztje+V2vnSuIn12JoNVKaj9RpC310rSkDCmnJ9Kq6OVh3c9TGVrJTcNv4kJsRPY9crziE4TIk4c5q+Ze+u7XgcaTqKmMI/I5BQyJk2j4ZNslBE6tGkhtFpttJTmoArrR1zE7w93/b/AP4SlD3A4pVWwupNxXEBkBK48B1u/+JhZV17Xw70lWE1G9nz3NXKFgnGLzkejP6V87LJLK2ZDJOT+DD/fAgtfB8Dc3MRHt12Po01awd/w/gq0hu6rAFNDHdaWFiKTO6YVtuTVc8tXWZjanHy0fDSj1Wp25R5g596duN1u9u/fz0MPPQTA3XmV+CvlfFvbTIHVxrpRUqm+Zc3brGQBrhodFZUyZMnnYtOGY9eGsGPCcGZsvoETUSkM8VfhMKioKZKEZaGx3rUzO3fuJCQkhIaGBlauXMk111zjdTsA0hbArtclDcSQ3scgP7p8DCsPlJMZE8C8QT37I5g3bsDZniFj/O67HgmLQiZjRIDvkr9KoeKxSY/1+vzMZjODg9wkmkrQNnu/qDyySxob3VOzh2z9IV4880zs+fmEXScdZ6IokFf9Npax/UiQDSJszCNgiECw21FlF5EYcQP19fsYVxdLgtlGcGsZx/xlNISO4Pxygan1/uidGzE0fMPeIJG1OiXHHWfRZjcwseEwottMfOwJzIoAxuVrkW8fQK3bTFudiYDoPajM6Zj91OQOqSPMORXRuI1WQwKF+st5NL+NRRFfM6o+B5ctiJ/fOMqF02KQ65sRrC7asuoxnD0O578eQWOsov/10hTQwMkxHNlYAcDo+ZHsfeUNRvt31Z4Yv13lISxCbRWDdzxFRnMT0csf9SrodAoi39U2E61RSY6mJbW8limRELfRTt1rWe0J2oVE3z0Gp9LJF/fdiqNNEt4ue/IlIvt3GHVVVH5BU9N2oqMXEx7mfWXqrLdiL2hBkxKMKsz3xJndXotSGdjFbsArHBYo3iaNE/cQ2fF3xp9OVhxWWH2D5J1Tvlsys5vhO+YBoKT0LaqrV+J2W6muXtklNkI/IgLTulLyFNUcUhYjZolkZWWx6LY7eLZEapPuM1kYFqBnYLtxZWmjhSd+yUGjVHDfmRlE+Hf6HCv2w0+3SC3sRe94EsQL6lo5UdPKlNQw/rvlvwRrgtmqrGB5+NlcVuJk0PT+BMybBMAPOT/wW+lvCKLAteuv5dCCTRh27UNIiACZjP6xyaSO9X1+s7Q0U3bsMDMu/5cURZLdSPDiFGRyGZ/+vAWV6OS8M2b8nnf//xT/EJY+wH6ywqLqqLAotRqmX3Y16997g7D4RIbN6VllvfWzDyjcvwebxcz+H1dx21c/dd1AoYbEiVCyTXqMkZdTamrj6EfZlBUaqVBNJdj2GyrRhcXY3I2wVJ7I5utH7kFwu9AHBnHdO5IC/oPtxSjlMlyCyLIP9rKdAByKWtyqrn4ebredNGUNW6yScPDy2I4VVr0qlogGNZpgO28nLeS60grs2gwArKpqFj/1Bk2BwVSPGopzkJvcPTXoA9T0H+7dQXL48OHs3r0boNeWlhiaTI3pAlrXrcPgiiD6XLHHNlJCqL7XSY2KnGOsff8t3C6YGBiIoqWFgP9Ra23BggVs3boVvV7PjBneTxjJQclsKJMcPeekn0Xskq7OnUbTISoqPwU5NFPDWNmt+LnDKLngQuw5OTwN3H3fE4gcps5UyJeijlH51dxfGoDGLwqVfAwwlDXiN5S7BLI1uyHtXdoqL+CYag4zft6ORR1FZYKWAs0wqkP7U1Vfw/EwHZomG3Z9MVtDYxGqI3gw7wBK+ZnEVO+hebaBUfZITJW3Uj7qP3AMzrtzFAatAmd9G3J/AcPSVH79KJvKgnDcrlD6raxm/nXhTF6aypgz+6HSKqnIPkpxwxH0Ln+C1BEYyrcjRxpjPonmzz7DnpeHYLVSdullXs3lVHIZ18VH8FZ5HRFqJQ92SvYW2lztZKXjd5fajsPWMaVhNRk9P7e2ZnvSxevr1zF+3Hr0+q5+SILVKZEgu/TdirxlhNfg0Pz8Jygrl8aw09LeRS5LJzo6uvtxLYrw0ZlQdZAD/pl8Nfl5xidmcG7k6a2K7YLAlqZW4rVqMnpwina73bjdbtQ9rNr7gu/yv+Oj4x+RGZrJwxMe9jmZ9buh1EgkoEGarKNfz+aJAGp1GG639/H2gOkJ+I2JxlSUi/jtCc/fozUqApRyTO0t3MhOldWn157gYFkL9a12fjhc1XWqbPNTYKmXogJeGQ4PGTlRY+KsV7fjdIuAyPDx0RS0FAAw4/U9NFatRbBasS5bRtR995Iekg5ix/GgCAggKTCEkJwyRGDgIy/0+Hp3r/oKtVZH2oTJmNdVIvdXox8egdPlpiQ7C7l/DEMG/PmShb8a/xCWPsDeLrrVdCIsco2CIbPOoKmygg3vv4HT1ubTlwRArdd7ToZ+QV5OODIZXPKdFC4Wmsw1BQ2U//AWZ2VL8/IJigyeS0xi9RwlobHdvUiq8nI4mXxsNbZ4/r5gSDTb8iVX2//oDSj1OjIaYtFoNWjnxDJs2DBAWoFcYX6LCbJ0Iqjhguhdnn0kn38+yeWbuHLXx9QkLOGrgSX0ZyvBLj2fTZhAq97A1XFhyGQy1Dolg6f1/EWYN28ekydPRqvVevKZfMGen0/L198AYFz5Lf4zZ+I//fdF1J/ErpVfUK8MRWcbxuYRCwjL2MK4s5IQRbfP1OgqcxUGtcGr1f/pICwsjEWLFvW4zdNTnmZ7xXZi/WOlE9cp0GqSaDh6CZb6aIJT1qOdEoPbaMSek4NMq0W02Ti/KJfgo8e4Ny2DJEspaZX7McfGetKW9yvyqSEai92KQozCLatBF7uCVtMw5Aho2yyEhJTzVdS3HHWI6NxXUticjCtCiVZwESFXU4HAY6lncqnbTWGaP3r3fuIrRMJChnC4eD5b5jzPmao3cOoC0SRVsN8ucFW+AlsGLDM5SCw0YazvuKBr9NIFIS5jIJnTZlJ69DDBswaQedZ74HZ3GQPVjxlD0yefSj+P9j3V88CAGO5LjkZ+ChlQRfkRdE4yttxm9CMiUUX50VxSy4TzLqKhvJSUMePpN6yTYFIZiEymRhSl9pxC0b16KDjcHrIC4DY5vBKWmtrV6PXJWK2FZGXdxv59C/Hz8+P2228/ZYduqD2OI7gfF6Q/jbtM4JPGIhoHJ/RqJ98ZN2SX8lO9RL7u6x/NjV40WFVVVXz66ae0tbUxfvx45s7t7g/jFEQeLKgkq9XKtfHhLPTSThBFkcf3PE6UXxQ/Ff1Em6uNl6a/1KfnKbgFmqotBEboUfWkJ5Ir4MpfoWgLxAyH4N5bd/Fxl6HRROF2WYiK6h4KqvBTkTFoIBeolLS0tDB06FB0ahWbRqdz0GRlYrChS3htUqgfvxyVqi/j+p/S0k6a2DElNOZaQBIyO90iiDDGruLC0nuxpVWT1j+U0tVPoIsIJr7Eirs9riBDN5gLjtyNSdFEjGkAdePq6XffItoq7WjnLOsxX6uxspwj69cw6YJLUYsaGg/WEjA7EZlSztdrd6AX25g2w3tm1t8d/xCWPsDulES3mpMM2yWAXik5IF52NW6Xk73ff8PIM89B7sMsacpFlxMSHYdcqWDgVB8TNgoVxI3EKYj8VvoFMYrvccpTUAmSRibRVM2Qmd5zMgZOm0Xp0SxM9bVMvaRjm6Wj4pmZHoFSIUddbMK4rgRdeiiTz5+AXNfx8Rtr61EIDgYppLAyl8OBsn2lpfXXsejh+RzbrGbv918zRhZFkVKGoLLyqMrG1AljiNaocdZbcZSY0KaFoPChKTiJkxfO3qCOj0edlISjpAQAXTvB+j1wlJVRdfc96O1mdHHTUbsMCKKLmn0atrR8Quas/Ywe/163+72R9QZvHpY8Hp6e/DTz+/+1ngUahYaZib7FcAV7G2nImQJAW0MK5v7HCJo8nrCbbqRl5bf4jR/PomVLyf96BQ0TQllY/j1WjYrtrZtIFOvI18ZjDalGgRJ/p55JNZlsjqml1Xkrb2x8mvdHn0nr8ASOJAwg1HI2/ZUPUej0I0BjoskWQqBMSUX72JBzeAivRupIrlVxbsUvHJpWg2PPFva7Wwmsb+b9T+5nytZmYksKiAW+9DOw6Jm3+WxsBLcfegWD/2Sgk2mV24l8x8vMi6+C8+/3lNNPzfnxnzkTv0+up6VmJ9qxF3AqRFGkqakJPz8/tFrvbRfDuBjqIur4advXCDugacs6ZIKb4OgYzrrlri7b6nSxjB61ipaWvYSFzeriJnwSyiAtwUtTaTvWiH5wGNoU75WQxMR/UVj4LKDn2DHpc7ZYLN03VChh4WvId7+NcMSG0OhEi5HygEBoJyxOZwvVNd+h08YSFjbba/Uxx2wjWaehsM3Oipomr4Tl+PHjHoPBXbt2eSUsG5tMfFApTclce7yUeWGBaE75XGQyGcMjhrO7Wqqgnpd6Xrf9eIMoiHz/wiGqCyViddFDY3sex9YFe9Ki+wKZTE5kxBm9bCMjPb3rAkFZVUbzmy+x2uViwc13EJEkHY+3zUljeEIwGqWcySmn6H0m3YI1YRpfHKijVoznOouDmekRXD25H2UnmhiS76Aq2wTZfpwIXUVLkIE2FTTMGM9Fzz3r2U2QLQJ/VwjOti24PvsvckUZBgTwL+tRy7fpo3cICItg+LyzMG+qQqaQYxgbjSAIZO3fA+pgpo34/WLq/0v8Q1j6AOdJwtI+8SK6RWTtfVmZTEbmlJkc/m0NZUcPkzTUuyhLqVYzbK5vMyqn08iJ3Puw22sZkHwHgyoaKNU1o6t9iJTaUKIaypmBSOXBAGLTZ4G+K8PWBwRy3r2Pet13qKFd0Z4Zii7Tu1dEfMxyjn2yGZnSRUN2MNOmdO87D5o2i0HTJLJVX1+PUqkkuF2l7jbaqXvlkKfMHn3vWBS/Y6TyVMh1OjRvvkHBnj2kjBzZZSzwJGy2aiqrvkSnSyA6arHPllHjhx9SWV3Dg9fcxuU125CfSMPRthvBkUXDsRC2HqvB29DXb6W/Ee8fT3lrOXduu/MvJyzeUH6iiUPrSgmK0pOz+Q1EcQEymfT1rbzmaoJyjhF+ww2E33ADIFmBB869ktB+geTXpOBXdhBEF8XmI9Q6ajHoQ/h/7J11eFRn3v4/Z9wn7q4kIbi7tZS2VKhSp+5Kt9tufbvVrbt7qRcKRYu7EwiBBOLuYxmfOb8/TkhIkwDd7ru/V3pfF9dF5uicOec89/OV+w7oJCIcFZXAlJjzCLre5K+3uYk+lMqR7IHovG4Ox6Zga3uW81Kepbh+GnJtJSmyds5rPZNv0/R8ESmdQ2l0LIMjliOTBSENQn/Rc4bbRbNtM9Z2IwGlDLkvSEiHA43Xw/SNPxNUqCjetpHZPND9Rfd8Cmuflkwad30Ij1vpCw5HMUfsL4Memgu3oxuVhtHQ/RJeunQpO3fuBGDu3LlkZ/dOE9bWLuDo0ceR1WTRXqHEGxqFurWe9vq6Po9pNOZgNOac8HfSD4tGP6zvNtNjSEqcR2LCNTidTmprfqC1tZXTTz+975UHXYxi0MWoHl2OJkRNu8VDVUkbdIpsFxbehcW6g2DQS2zsheTmPNdrF89lJ/DP8gZGmPU8nRXfazlAfn4++/btw+/3M3Fi3ymWdJ0ajUzA3emBI6fv5+yt6W+xr3kfqeZUIrSnVrzrcfmpL7V2tWQXb29gzLn/NS3QID0fglJ50i7FHYu+x2Fpx2Wz8vkDd3al8uUygdNypd+5zd3GL2W/kGJKYWKCdO1ePqDmy70iod4Stm7ZxhunpfGXYdk4hiez4MntXY4QcqWSQKdnlj41tUtTRWdSYbghi49LSvGV5zHH+R0W0UioYEWs3NLPlZfMaSv37+W0G+9AJspxbKtHPyoGmVbBsq370fttDJx8clHE/674k7CcArqKbjtD0mIgiCDvvmViM7MxhIVzcP3qfgnLyVBbu4Dm5lWIoo/dey7h8fonWaQ6E1fIfmIPlgOgTfYR//MN8DNwf2lXZ8i/A5HJGcy66nOaKspIv2M0csWJb43IyJ4zzIDD16smoC/C4vc7KK94nYC/g5SU29BoTlwY63a7+fSrr/D5fGw9fJgrrriCjIyetveFhXfQ4SzF77fR2rqB/IGvAZISqUohQ95ZkKkbPoItVU3URMeyRxbNG203sK05kb2eUOj3FQA35N/AszueJUIbwYcze0vAi6JIS3UlGoMBY9i/7zc5Hms+PYRSLaeqqA1/RwNK+dd4A2ZSavcS++ADPdYVxSB7vjiNjqw0LlubR33INDoiU/E4d2J01hHnaUCsbMCRMwKlsgNveA3tli0UdehBDtdi4l2bm+JOx9fRh3WM+zWEi+oXYNfHs3vYfO4d+gJPtN/GItFAO6HcUvkFsqTu3786ajKvO/Toaw+gj/WS2WAh3mhlfdJL/OW7z2iOD6cjcxAmgwFRPK4uSWXscpQ+EZTKEGQyLcGgq+vv43H48GHCw8OpsFbwzYpveDTmOtj+DpjiYOQNiDI5TQd/onbZdbTVbUCmiEYnjyEgdzLp4b8RFMVeaSSA2uJ21nx+iIBfZNbN+bxd9xKLSxczLHoYb01/C6X81P1p9Ho9V1111Smt//T5A3lnXRlTh0bw9JxuM0Gf34pSGYbH04DTWdbnthNCjUwIPbEPT0xMDPfeey+i2O2Z9ltk6DSsHzWA4g4340MNKPppE1fKlb/bAkCjVzJ8VjIHN9QRNzCEkWed2C/tj6D5tddoeeddCAZJX74MVUpKv+sm5w+hZNsmAAZN71uA8M41d1LUWoQv6GNe3jzuHXEvOpWCK4NeTGGbaXZq+WRdFenvrUBxtpJvB24nypFMRWgha+csYv8r12O0F5PHEfDeS3Xjd1Q3r+ch2x0oyj0ELSZu5i4eVH5DajCW+Gs+6vdtZWtpAiA0No6OnQ2IHj+GCVLt1roNmxBleuZMPjXrgv+O+JOwnAJ8nUqImmNtsgERjiMsXpcTl932h9ogjcYcRLHTe0dQEK/LxOSsJhA/iWWzsmk36Pm7/PXuDez1/1bCAhCZnEpkcv8vClEUqampIeD10HLoAOboGDJGjEEQBJRxesxnpeIu6awJiOq71buy6j1qar4kGHRRW7egR7X+8QjYvMi0CkRRJBjsHggDgd6DmUiwK9ogdvoTvb+hjGeWHSIowg+3jGV4chjms8/iwswsvm7o4JfIyWhGpjNlRSVynZ/EAWbOuadv35oz0848YVRl9UcfULByEQADJl7CWbdf2e+6/ypConXUHG5HEASGn3MXHnsBUTFx5E18Avlv5Kx/Lf2WTw1N5NhCCPGJpDUHgWRE7UY8HdK9HNBJNRg+nx5hn5440qjTtWOznstKv4L5O+x0RCmItTooProHj7+Bdp2a0I5a9LYCsttuoNj5Du3eJ5js3I6GAFXbM4mMCeBtH4bPqSUhYytlbX78bWr2JUeTm1KP36pDk5FKqPowLpcJm6On/kxw4EUcaXZi8jYTO6Xv9GeHx8876y3Yne9x4cBKMhImo1H3FPKaOnUq72x6h62JUi2W97tfeKKmDjk2gnu/o7ZyHJqFB/CPmYNMnoDKeBEASibyt00NHKo8wPUhR5gUP76HQ/CelZX4fUGcVi/fP7uLH8b+AMC2+m0sKl10SimQ/pyV+0R7BZSs5PyUCZx/z6Rei/NyX6Sy6n20mniSk28++f5OgJPVkwEka9Uka/vWIHHarDSVlxKXNeBfknoYc276f2lU5RjaPvkUVWoq3tJS6h58iJQFX/W5nj8oUjt4DJnzoxmjFogaNKTP9aweK1G6KGodtZTbpMnlDeP17Aw+SlBpZwCwccPlhKTV8GNpFB2pbRzSS1E8faCVsfJ1EAJ0gKPgU0ps/yT3sIPq5h/ZwQDmqh/hkDuZh/238vN5E5Dp+r+25Xt3IVcqiUxKo/3ng+gGRaII0bC9qBytq4nEoZP/vb5J/2H8SVhOAccIi7pHhKX7Ry/bvYOAz0fOxH+9GDQ8fDKjRy3F420mNGQMrpA2Tv9lKAepIv7MMbgHD2bXdgVDGjejGHqFJP98Eoh+P56yMlRJSch+m8e31YGlGhJGSEVsSAJchXXt1Hv3kxYaT2ZoZo9NNmzYwNpO2Wuv1cFGfybD//kzpw9OYUzmZOotPnbVbYe6dsb4LiF7VO82TKUylGDQ3evz42FZWo5jg9TiGnFDPldeeSVFRUVkZGSQldXbg2lg3mvU1H6OVpNEfPxcAD7fVklyuJ7ylg6u+WgnB56QcvKp2ZnsyBJxBoIYFUNoH9mBXCHDdIIWVNEXQAyKyNR9Py6lu3YjyMyIQSuHN35zSoTFU2nDW2FDOzAcRfjJDRdn3ZxPZWErIdE6IhONQG99G5BMJB/a9k/kohJbfR4zj5uLvTbJg1yYSmTbYebIqonTbaemeiAet57Y0gRUMdNpVcWzTqFkHZDeUMtZ1V8QVAjY4yRyPKSygX9cPg6r0cgi/oFmRS3bSWD9tJHct8eKsjFIo8pLir+eT2QLaRglEcwHtH4Wr7yZDdoipuR8SK62kzgFLu0RYfnnqhLeWhcFRHFhRzX/vKh3ceEba4/yyeYKXL4An2wzUfFsT+G2kg4368Li8OcaCG0Jpd3TziKlkyeRjnmkPIWaLVsJ05sYUPI9hzLPxnfc9qOOCtSqX+D7Jg/fl3zDPyKvx9CooWjDGszRGXRYpiIIMoadmcRA2UAKWyVJ/ynRo+DLi6BqO4y7AybN76UP4i5pp3XBYUSXn/Crc9HmnEDO3+eC96eDU6ob4ZqlUkHncdDr08nNebb/ffyH4HLY+XT+bV0F/7e8/yVao4l397/LtvptXJB5AbPTpWJXr9dLW1sbkZGRp0SS/t0Iufhi2j75BICYx/u3S3mytI73apoBgbFbdvPOspVEP/CXXus9NO4F3ihezawMPbfnS8++q+MgTX4lekGDVuEmoiOZSZqvaPK/TWyyGpvXxp3D7gRTGv7UySjK19OiDGGUdQgfe0OIbZak+EdxmPnBr3mV81nz94tOqMIsiiIHN6whbehIgkc7CFg8GCZJDRA/r1iLHxWXz5rwL161/x74k7CcAroIi6q7S0hQdL+IWqorMUVGYYrov3LffbSdtm+KEd0BIubloU4L6bWOwZCNASnXrh8axeChMxl8/AqzH++xvv3XX7EuWoR+/ARCL+2pUSIGg1RefQ2u3bsBeoY+Gwrhg+ng7yQOnXUCd32zj1XNL6E07wPgzqF3csOgG7r2WVtbS5gngKmmlEVZNmSGDeRXOUn5LEBT/HqOnpVCwsRvAKhxvEM2vaMniQlXo1KG4w84iI05v89r5dzbhCJSi7/ZRfsPR0j5y0hSThC21WoTyMx4sMdnV4xJ4tllUoviJ9f2DE/LBQFNm4eWpeUIShmm2f3P6jzlVlo+OYjoCWCckoD5jN4RqJHnzmXdZ+8jyKOJz728330dg6/ZSfO7BRAE67Jy4h4dg0x34lRCB3Zet/2DlsYW7lXey4iYvk0a5YKcKOKJLxvELlsWfs9+gspwlg3aiC3yPhBktEdOR+t/kDh5CbGxJRz4+i6U+gmc45CxVOfloEoiGaUKHebEcVhrN6GQqfEFPRRMnov1OMPNTASOIDJ7eSvNBhWfBSxcXLOAUoWNhmB3NOw199moxmcxbcvPDLN2IOvQYQv3ExFe0SPSUFhnI9asod7q5vvdNfzzoh5PAABapRzv8T5dx8EdCHLe3iO0+QIoApPIUZYSYnVxbclI7NoAP5ocvDP4GipnSVGpd594gMyIDzDKkjmiyOftQeMpiTECHxBRdQ0CAdrf/pAjOol8N5UXMGHuaAZOmYk+RM3I4OdU26tJMCagLFoMR1ZKJ7L2KZhwj1Q4exwcW+sQ5AIi0PppEQnPTuyZEjsePhe4LaDQSM+qpYqu4pVThDcY5NaiSta02bkkJox/ZMb3meryVNno2FaPKt6Aflxcn+dTVlbG4cOHycrK6pWWtTU14rRa0Hp9DKxupuba63DPv4Y3iyUtqd2NuxkUOYgoZRTvvPMO1k4TwIceeugPt1E7vX5u/mIP20pbuXpcMg+dmXPC6FX0Xx8g4pabken1CCdIfZe5PES5OmjS6tk6aDhtt8ztRVhs/gA3HPHTEhjP6jaY4w2QqJHzzvZYPtz0OADXhe9klmofTSNeRL9nFeFvFDF04CAypqSDXE7R+QuYs30fDrkOBAFx8AI8R85F3S5pRN0iW8yAqRec1DKiomAPLVUVTL3qBuxra1BnhqCKM3CkphG5pZqIrOFo+hC9/J+EPwnLKcDflRI61iUkwnE3T4fVgt58Ym0Ex8ZaQED0BWl+7wAJz/Zd2CaKIpWVb9Patom42IuIje17UA/Y7dTccy8ypRL7ql9BJhB68cVdy4M2G67du5HpdASdTqw//0zknXdKC+v2dJOV47C+uAlNYiM+TwQydQtfF3/dg7BMGT2a5udeQOVxM3onPDBPzitzBJqW5LEt5WLabW3Ms8YT6mjH3aamY1h7rxZuQZARE3POCa+VcUoC1mUVCGo5Edf+ay7TN05K58oxKT1qWI6HdXkF3loHQbsX14GWfn8P5/7mY93i2NfV9ElYhp0xmdyJ4/A4/ZgjTx4tEd2BLm8eANF/csP0b4u/ZVPtJilPvmIeB64+0Gsdf3s7re++xzWNV9AQNLNG7cYX/AbRJuIW3UgHle5bhcyLKELZskSCtpV4WInafANj/AFKtX7cAT3jowpY1jgIdbTAbFszUfoo4hSjWFXXxMFwD+aWb5nVWMU8txFHXiaPj7yMpOVH0PmdiH45eWUmKpLshLkT2JMzFwQZlwYNjC6xA3ZcJhOuq26l5b338ZaWEnb1VfxlZjZP/VJEXpyJf5yfTyAQoLKyEpUA5Vs3YIyIIi16MDPzosmNNXPthJQe1yAIuAIiWpmAS5XCRdnPY//2Ptqo4pkoWJzdTmuIiei2VgYXF7J6xhQixXpadMWc5XiL8shpDCr3MKXQhcZ1NwnlbzLcnMqWlFiaKiQCnjtpXJcNgEKmINXceU8kjABtGLjaJDEzofcAoxscibtYUt7Vn5XEHavvYF3NOsbGjuXN6W/y7I5nWVm5kulJ03ls7GMIF34M+7+hrTQMxxtrMJ9rxDz71DWDdlg7ulqaP65t4YaESNJ0vVM6rZ8VIShkOPc04W919zJg7ejo4IsvviAYDLJjxw6uvvpqUlO7n4Wo1HTGnzYXw5Z6lK7DBAo3o7zmfpT3p+BTSNHSEHUITQ1NXWQFoK2tjZiYE/jynAI2lLSwoUSSbnh/Yzn3npZ9UpsFufnkLtSPZ8TxpM2KsHc3ty35lpS3HgdHMxi6J6bNXh8tvm7zxKMdbhI1KpYXNpMWoaespYNFnvE88o/TqNy/j9qv3gegqnA/tuYmQmJiyTVoGR8dyw5rBxfFhJFhEjktIpT7vFaGBL34RkwiN//EAoPBQICNX35MbEY2kZokWusKibhOencuWLIGvyDj6tl/TA7ivwP+EGF59tlnefDBB7nrrrt45ZVXAKlI8r777uPrr7/G4/Ewc+ZM3nrrLaL7MWgCaZB+7LHHeP/997FYLIwfP563336bzMzMfrf5T+KY90u3DkvPoluFUoW7w3HCfWgHRuAukV5UpjNS+l3v/bL9LKsMMgk3gyzzMZny0eszeq0nqFTIzWYCLVK4WJXYU5tFHhJC+A3X0/71N+jHjSX85uPy23nnQ8kKaDrUQyHyr7NyeHnjHFRhy5mYPJInxj3aY5+hOgGr14MoCAiiSKRVpDxGYEvESFwKG0ODzezYeRbp5ZsRgkHe2XIl9369+NRy9cfBOD4eQz+zvN+DE720lFE63EVS2FUzoH9NA/2waFz7WxC9Acxn928Cp9ErT9m3RZVoJHROJp5yK7rh0SdtAQfIi8jDH5RejEZV3wWUTc89j33NGki4AHdsBqJGhuAGn1rHOZugsG0ZxbHjmFQhQ2WYRkBXj726goCgQC768fr2c0XoZC4PSLSmLaSWG5Nz+FvNRma3b8JLJkdCnAzZsYTGQW5u3ucje4IfuQuMP5QSHH81NSMHkLDWToNdx7UNbrREsloYxZ5cafBOcTcS1EYgc7WgtdnYsv8q9BUyzIsUWBctYuDhQ3w+L5eGhoXIvDa+WdJISYkkEGZsreNIh5blURLBW3qggfMTwln6Uyl6s5qpVwxAZ1Dy5aA0vm9sY2KokfOiQlh7xmyObN9M6IgMhOB3GC2/8voLP+HTqdk4aRIBwgi1j2V/sZo7Dz1FMPpOdHoNMmcS3mEvkvaPiaQEArTV1RAaG4+iP5f2kCS4q0DyvYrM6dWKDaAbEoUmOwwEOGg/xLql6wDYWr+VpeVL+bbkWwB+OPIDkxMmMzX3HNzyATQ+LulmdGzahDo9DU3uqRmb5hm0xKuV1HqkpFesuu9zl2kV+NulSYy8D0dlQRC63I1B8jRraVmLzX6AmOhzEepMJFal4AuPRBE1Go82ggP1e2g7cjtv3SgwNm4sZrUZQ4KB/Px8SkpKGDJkSL/jQnNlOQtf+Du25iZOv/lO8qf200UFDE0KIdKoptnuQaOUoZT/sffGMSRr5Pw1R03K6LnoEnbChhthA3DRp10t1ek6DX9Li2Vps5XzokOY2lmofuf0DJ5eephYs4Zvb5JaD2MysohITKaluhJjeCTGCCnN+tCRWla02gBI0qooat1Lu9/Bw5ERPBLjJVJeRrDwdhzJt5CePr/Pc7U2N9JcVcF5f3kUx8ZalLF61BkhNLbb8dQfRRefRdgJlLr/p+BfJiw7d+7k3XffZdCgQT0+v+eee/jll1/47rvvMJvN3H777cyZM4fNmzf3u6/nn3+e1157jU8//ZTU1FQeeeQRZs6cSVFRUb8aCv9J+P1+giIoFWCHJn8AAQAASURBVL3bmp02K0d3biX8JAW3+pEx0sAoE5D3M7Dtszl5tEoEYQJbmcBr4g0olX0PpjK1mtRvvsa+bh26ESPRZPeu7Yi67z6i7ruv98ZqI1z6Za+PLxudxGWjbwZ6F++53XXsOHIR8qt81GxRsCVTxo5sGYJyHon+SnSqAAFRRrTKTUdKLoaywj7P22nz0lBmJS4z5IQD/KmSFY8/gNsXxKztua8yaxkun4vc8Nwe+/K3umj9upiAzYNpZjKqJBPqtP5nW6pEI7F/Gw2i2KNu6Y9CPyoG/ahTn1lOiJ/AwnMX0upuZXh031X+Mr2eoMtFQtonhM7y8J4Am5dPZ7glEafChromj+imIN8Y3XxjG8IvJQpsLQVURZjxoObj+DScWpGZ8hKCsUtZrNeRWrUbjbMcBUEUFLNR3UxCkwGNVyRmhJ+gQcSfCp5cLzcG36AoZiC+02O5ukDLUSGDMlHNVmMqarcHpdPLxvqryPB9gigItExuAhppHabm6MZ0hjeXEBBFCg/eRXv7NkTRR2XlFURERNLS0oLLEILbBTKpzBqAzd8fxeP00Vhuo7KwlZvfmEJmYDs3yTYRrTkbQRjOtHk3MW2eJOCVWTUV/9o6ElLPpr15OwqfD/8xAhIUkSEyKD+Uo7ukKMC4i6X0glyhIDIp5eQ/lMYEmhMbbh7TP8pQZJAVmkVJewkCAhMTJpJiSqHCVgHA4CgpHSbHSkO0gtBWP2o/yMO7617c7nqqaz5BrYomIeEqZLKer/RQpYKNo3OocnvI1GmQ9/NcRVyfj2tfM8p4PZqM3tFinU7H1VdfTXFxMVlZWZjNrezaLRVFl5e/StaqDxBEBQq5FGFclziAv2dJ9RLHF6zL5XLOP/989u3bh8PhwOVyoeujiPTAmpW47HYAVr7z2gkJS7RJw4b7p1JndZEWof/DEx2QJtHXr7iePU17APix3UdmeCa0HoE1f++hAXNHcjR3/Ebb5pKRSVwysmcNn1qn4/JnXqajvR1zVPf62ywdpGpVlLu8PFNWT+G4iUxPmo5/mx1d5C7crgAqNQROUPsndhJJlVuFp6SdsEuyEQSBzxevQUaQK875n2Vy2B/+JcLicDi4/PLLef/993nqqW7/FKvVyocffshXX33VJTv+8ccfk5OTw7Zt2xgzZkyvfYmiyCuvvMLDDz/MuedKs4jPPvuM6OhoFi5cyKWX9haF+k/DHwgQ5LjBKhDs6hL69YM3CQYCnHHL3Sfdz8l0SUwKOQpByjgBTB79CypV34TFF/Dxc8c2hFFaZqf9/hZAf9BPQ0cDcYY4ZH2Ern8Lu70Qv99CzcgwHhj2KH5VIlrrzyC4cE9PJbWkko6gNPDnZ2Wgjg1n2Kxzerw83B0+Fjy5HbdDmu1d89x49Oae4Wmfz0Jr20ZMxnx0upTubQNBrP4A0cfNEA832Lj0vW1YnD7OHxrPy5cMAWBlxUruWy8RtbzwPL4++2up2+LLi9jWqGJL8EImBoaQuKKy31TQ8ZB8av49s7Y/grSQNNLoJ8rjthF1RgqqsMtoyvoahTySQLCGOaFj0AkZqASBGm+QbYHONmD81Hp+Iq/WSl5tC6JaJDcsAm9jOq7xH+PRGNAUnkkeAtu5kGKvjavEr/jpyL1kiE3c8/Nuqi9SMiBUIqYNNRlk15gZ4rDT1HYDa5Qyzg69g8ikFsyaWL5qvJoVyVP4dLqRyrIHefiQl5itForif+Z+2/l4x4M8VolnfQE/6ttRqyJxe+rIG3gUm9WC2ZiKzBHG1PHJDFFnUmd1c9PkdKpX1nBwo9RxMeyMZJzOcvbvvwkQqan5jLFjVve4j4Y1ZtJ+GEiOIzp5AlemFFM2LI3DC7/DLZcx+PQzmXLVUIaf0YE+RI3WID2zoijiDXpRy0/g0vs7oVVo+fbsb2lyNhGjj0EQBD5NfouiLTvJjBlAqCIErDU8sOZyVl2rBhS8HPowTastZI1SE5sRQtGh+3E4DuPztdPYtISRI37sdRydXMYA/YlTlQqzGuPkhK7v2tjYiNFo7CHwmJiYSGJnJLe9vadWjYiIAMhpxKR4j+vCtjPNGk3zrwZ4tqfux549e1iyRNIzWbNmTZeX2fHIGDmGA6tXAP23Ex8PrUpOemTf3mW/RVOVjfZSK8mjotHo+34nd/g62NO0B5PKhM1rY2HWRO4v2Q7JE/qc7J0K2utr+fbJh3C0tZI3ZUbXmPFoRhxPHa1lgtvOM1WHUOYnMj/mej5u/YiiggnEJFTQ0RHKtKn9+yW119cCoDwKolmNdlAEHW4PLWWFKMKSSYn5r5Fb+E/jXyIst912G2eddRYzZszoQVh2796Nz+djxoxuJdcBAwaQlJTE1q1b+yQs5eXlNDQ09NjGbDYzevRotm7d2idh8Xg8eDyerr9tNtu/8jVOGYGAn+BxA++xotvmqgqObN/CGbfegzH8j98QaTo1i4dlscPqYFaEmeh+2gcB3tz7Bp8c/JgAIv/c8TxbLt92ysdx+pxcvvTyLi+L7ZdtR6fU8WVdK4ubLJwdFcIVcT27F8LCJhMZeQar2kwE5NKLzWU+h0tli7GoXVTG+jhYnUBibDqPz+s7V9ph8XSRFQBrk6sHYRHFILt2X9SlJzFk8CeEh0+kyuXh7D1HaPL6GWTQsnKkVJi88mAjHR4pTfLT3touwrK3aS86hQ6n38nB1oOIosjWhe8Q2eSgVe/np6gP+Fwu4yHvHcxFIizBoIijzY0hTIPstzUvwSA0FoI5oZdg338bLJiLrHITYUBS/rmU+aV2XmedkoUqG6lKHRFKGWsmhzJvfyV3++cTlW3FlqKhYm0obff5SH9tPZ4Ba7EODWC3yvEfT9Ksk/i4pYQzWYFX6WPX7Zl8L7+UeQd/QOUKMsF5gHF8ACqoMY/DoHRhC2/gaJoZBTbcBFD7vHiUKiY5RbRyUHtDGV5+NboxXrytbrxeGX4RMvSPUhv8nKjoc2lo+AG9Xrq39+w+iyO72njooVldhZqJMyPJGBqBLlRLWKwep7MSiVweax3umRYUNIqumiSA5BuuJxmYOlyaYAWDXtzuasLjk7rIttPn5IZVN7C/eT9Do4by0cyPUMh6vzq3tDv4uLaFISYdtyZG9iDrjrZW1n/xEWIwyKQr5mGKiJKOJwrEGiQtIlEUcf1URYY5Cd+uVto8xahGtdLoGsEYp59dYUd4p/Q7phZHUrihliufGotMUBIMSs+UXN47UvF9yfe8uOtFVHIVX8z6gkRTb1uP32LJkiXs7izWv/DCCxk4UKqFEP1B2r4txlNuwzAhnpwBz2Gz7yc+7hLkkVF4jlqQb38SrSAJ9qWaG/HQO0IeCAR6pJesTY1YGupJyM1DrpAmJEkDB3Pze58T8PnQmUNOeL6iKBLscCI3nDzlUXW4kd2friZG68FZupfIGeOJT764V1TGoDJwU/6tfFDwBf6OHD46ei63PfI2uhM4wHvrHDj3NKFOMaEd2Hs8OLpzGx0WqSzg4LpfuwjLjHATQxf/SNML/8QfCFD8yiuUPfk4QsCP26qlsi2TOx95/ISRo4qCvYSHJeIvdmCelYogl/HFwo2oRR/n/g80OewPv5uwfP311+zZs6dLRfJ4NDQ0oFKpCAkJ6fF5dHQ0DQ0Nfe7v2Oe/zWWeaJtnnnmGJ5544vee+r8Mvz+A2BlhEUUROlNChWtXYQgNY8D4yf+2Yw016RhqOrmGgbWxAF0ggF0uw+7vQ9b7BCi1lHaRFYDDbYeJMg/kvuJqAHxl6xkcLZA/6lJEhYYGm5swvYpB+W+i7XDzc2cXRpJGxdfu2aCG8PRmXku/mc3Oxf0eNyxOz6jZqVTsbyFrVAxxmSE9lgeDXlyualSqCLzeFizWnYSHT2RTu4Mmr0RM9jtcXevPHhzHNzurqbW4uH1qBrSWwrK/cCVBikPScYh+/jLqbywuquXtkkQ+Uzn4XpuEz56IaDzK06rXqdrRzvxh81n40l4ayiTie+0LE9AeHw378XoolPQ2uOIHyOhprbC6cjVHLUc5N+NcYvQ90zylZS/R0LCIyMjTyMz4278Wrg744Keb4eivMOxKOO3vvdplaS+HiCxoKSG1qoOkuQcomnUmd2d5qZMHceEiKkTNXbVBLnEVEqWSUh4mtZuqMTEYXTUomgUcp4kIHWAytRBmbKPdEo3aHY5DW4BKG4Lgbqcixk2kfzWnq1UUD4gis6KOcG8DTkLR+dtJ0G6hxrMQb8c6EL8AAc5mEQc9eZj84eQ0+VF3nn+NN0hcox15QiiaYRHc61Th/KyBUC5AlgPexLcBORBAr2+noyMMx/5GxBIH7sJV2H6ULBMil/4CpKHTJTN0yCe0tW8hKmoWohhOU1MTkZESgdAODCf8ihz8bW50w6MRRZGCggLa2toYPDiL4pIrcbmqABlTpxQik6nZ17yP/c2SZcXepr3Ud9STaOw58IuiyLWF5ZgUchY3W6h1e3k6q9tTa+v3C6go2IPbYad460bu/XoxdyzYy5L99SSGaVl+1yR0ShnKOB3eSqkeTjc0iuUFhxhgzyIgQrw9l6iaOspNPxPvnokgE8jNfYGa2gWo1VHExV7U69Z5b/97RGgjqLBVcOWyK1l3yboT32o2D0eKigkPC6O1rY2VK1d2ERZ3STuu/VLNnG1ZBXGjziMurlN3Jh90+ZHYAnPxbtyLUufHKk6jevWHPLavlMFGLQ+kxSIXBEaMGIHP58PhcJCdlMDH99xEoLOx4XhT2F6O9n1A9Hqpuu56nDt3ooiJIX35st4SDsdh8bIfaFE1Ixu8BL3GRVvZL9icu8nNfb7XupOjLuOfxd1pnd2V7UzM7LsTVAwEafngAKIviGNTLSHnpmMY27PdPmPUWPYsX4yjtYX86b+xPggEpJqnQIDS9HT2Fh1CNEuTo2lZKZhPQNpcDjuF61Zx2pBrEWxy9KOiCQSClB7cg6CPZljW/0yX777wuwhLdXU1d911F6tWrfr/Wlvy4IMPcu+993b9bbPZukKV/xWQUkKdA0Sgc3omF6grLiIxb9AJVWFttv3U1f9AiHn4SbtjjsHtdlNTU0NcXFyf+V2AuxLPIPTIasICQc529E1Ymu0evt9dQ2qEnjMGdg+kOeE5TE+azuqq1UxOmMygyEE4gwKhCjnj6tfwYVFnse2qu3kwfyNf75SIzM+3j2dQQgg7ByZhs9l50SmyuLERa1BBqxAJIlT99BHr2scy4rSZaBRyFMfpmwiCwMizUvtVsZTLNeTmvkBt7QLi4+aSmnoXAKdHmMmvbeGAw8V1x7lIp0bo2fTAVAJBEYVchnvBNShq9hLnbuUjoP7BZk7bepAWsQXDxDFs2jaXbfVj8aGCejBkP8wXh77guuSbu8gKQPn+FnLHH/eyOforRGRDSzGse64HYdlcu5m7190NwBv73ujRveNy1fJT+RYO2Scyrn01Bn02cXG9B5WTomobFH4v/X/L6zDsaojoLkgv2VNAY140glBPS/YtrI2/mYtsPkY8cg+un9o4FjAKb/ZjrOvgoiGj+bE2mqRgIw3Bcewzj2G67GM6xsnQrpPjjTWgMsdwlnM8xT4X27TlCIKA35BBpW8TezLbCFoUYFnFD7TyrOscGloEzIog+4zZeDNlRO/3scJtIFAwk2ShAvX+c7hTo2KC0YFD5mSNTUsQ6AjCxzX3ES5r45uKl5kSHIXHqCRo9+E56EEbdj0+xR7QZ+MJDactsYyvV3/C7PbJCAxFPWA8nsObaX75FRJelxSOw8LGExY2noaGBj788GV8Ph9ms5nJkydTWVnJ0KFDSRmYAkBRURELFy4EYP/+b8gfVNV5VYO43fXodCkMjhxMdmg2xe3FpJhSepHSY4hUKTjqlCK/OYae70dzdAxuh1STYY6KpqbdxZL9UttqdZuLbzccZtKL9+OtqkE/dQ6xTz2I6GjGu7caUSGAIKIWFUyKnMM5op5Zg27l7rADgAZt4EoOLK2hKamGIacl9iDFZ6ScwccHPwbgyfFP9jgnn8fN6g/fprWmitFzLiUtbziNr+5hmCuZXc5S4mJiufyqK7rWV8YbkOkUBJ0SuRBUPVPJ7g4fLemzCR82C4VZRWhYGPdt2Molwjd0tLm5b/8l/CMpD/3waCZMkOpbijau7SIr/wrcR47g7Jw8+xsacO7chWFi/1ojAZkfvUwLgkgQiQqLx7fsHYcBsUamZEeyrriZ/Hgzo1NPoJnTiWOigL0mFEBoTBw3vPEhAZ8Ppbrn/RF2xRVQtp5AbQnOM2aw53B717Kdi77HYDQxbHbfpqktleUIPjC1mzGMj0WmVvD1qm3ogk7GT/3PuND/p/C7CMvu3btpampi2LBu+flAIMCGDRt44403WLFiBV6vF4vF0iPK0tjY2G/r2rHPGxsbiY2N7bHNkH6M7tRqNWr1vy+XfDIEA4GuFkWxk7AIchn21hbSho3qf7ugn7375gFBamu/wONpIDn5Rkr3NrH1x1J0ZhWzbsrvMZv3+/289957tHW6dt522229ZPABQpLGcWeHH3ydlul+Lyh65mNv+nwXh+rtuHwBrhyTzN/Pk2ZKCpmCf078OxbreZiMg1DIFJhksHJkNs3rlxKUKZB1dqQs3FtLeqSe0uYOnl12mA9H66i+Zh6i08nlM8/Ae9NdFDUVkVmzmuUbJxLq72DXko/Zt6qQ06OnEpFmJuqWnloaliYnRZvqCIvTkz1ayt3jagdrDTFRZxET3dNNNUKlYNXI7B56FQ5/gGsLy9lu7eDGhEhOk6lZX6ThfrnU+SOmTOKnQ0do6bRod2jlPDRwBr493Skph/laErzfEBKhJ3tMDMXbGohJM5P922LY056UiErSWLjsmx6L3H20hx/D1g4Nrxy5A0WFg9WMxamO4Y64flfvFy2hWYQb4xDsnXUDJskPZn+Nha0bawhtf5fQjAZkCh9GvuObxkv5ptFCUbCIuYZyVjlPI9ynYLhHCQhktFexb0MCh0JGcDRyHleGPkLy0XZIgo+jwsg+fAYJyvORIWNxxxZWMpwAcs5QHaLWPABH+aUg70AT9w0f2EOZuGc9UTuhQhVJ7YgIwnPK2ZX4FZamFOTWGJrcQwnINQTdhRySD2C4Tk2oQUFj4SJqnWU44pREB4NcXnIXjaFrUcboERLlbCz+mLovDgEw4/rx/Cx/HqVbwdqYddSqmril8WJ8DVXI9HqiH+6d36+oqOgy9LNarfz8888AFBQUMH/+fAwGQw8VZas1ivDwKbS2riMm+jy0Wmlmqlfq+Xb2t9i9dszqvgu0BUHghyEZLGm2MMioY4S5Z3Rg5Ow5hCckIQaDpA8fhYjAhIwINh2VIhbTbGU4Ow0+O1Z/i+3B6yi/+SaGJ1+O0aBDqTQQHjTyvXobV7kn90hrLXnnAAq1nCO7mrA2O5lyeben0l0DbuLcH+qQt9uJGdkzTVGybTMH168GYNELf+fON74l2OEngxgyPDFEnJaPprOGxeNt4WDpXTinVZEWPp/YrHN6dEoGA0G+f24X1iYpAnrBA8OJCRe4TPYDeb416HCC+Vfav/sETWYIcpP0/s4cPY7Kgj20VFeRdPpEjrQf6SVYeSJoMjPRjRqFc8cOlHFx6Eb2rU90DBdedCFbtmzBZHyA+ISjGPTpxPYRmQJQymV8Mm8U/kDwpBooglxGxA2DcO7tTAn149kmk8mRqXt3LwothYQrF0EKRB5+lB3+d7C0bUBpkZ55+e590A9hEWQy0o1DICBiGCe9YHbv2AbKEE4beWrdZP9T8LsIy/Tp0zlwoKf+w7x58xgwYAAPPPAAiYmJKJVKVq9ezQUXXABAcXExVVVVjB3bh6sckJqaSkxMDKtXr+4iKDabje3bt3PLLbf8C1/p349AIIB4rDC1U7Dq2MPaxaj7gNQKqMLnswAgV0hFYVt/KgUB6o9a+fKxbVz/Urfktsvloq2tDUEQEEWRioqKPgkLjUXdZAXA7+pFWDo8AUJ0SlzWAPXW7oE1GPSwY+c5naFvGD16OQZ9JokaFeYRUzhQtQL1jjaKnckMTTjC7vZMIgxqXrp4CI5P34fOQUCzYjmvvfoytqxE7v5RybJQSRY/wVXLRVYrzf4gpsre9UVL3z6Ay+7F7fDRWGZj0kwFi394mE2+dNbVDMCmCOe9K0cwKavn9z5+5ri6zcaGdil0/npVE/qgjveCsznoikHu83H7OXOo+/ZzYvIn0BCTwIA2O4cjIlGk2pBZvPiT9BhDJ7Jxyu3UOmrJnKNnxjX95HqHXyP96wPTkqbx0OiHKLWUcml2z3orS0CGrM1DUCtH5grw4q8N3PEbo26/xYPl51IIioScndYjIgXwl+JqPqtrRTf4Q35NU5KWPBTkCipbO5jz1hay3DIuMmUTliXZ2RfTPVg9RybXy77EqYlF6cvFqxMJOrYwansBC5OGsiZyKhFCM7epDuET5SiFAOeoLFyesYJa5WrOP5TLHuVsdH4ndoWR5d4cItoTkMvA64ml4+jfGJLyPnl1DVhSNdyaPZ92jQn2wEeyIJ74HxlXPwe7y8om+9cAVDhX4rRXE21VktDagaA1gFKG3yPD4ZuHr76DkPPSMYyJw3JjPWHxibTVVlP+/bMYRjZRr5auT1JGOtGXDUPx1NJ+xb/y8/M5dOgQTU1NjBo1ig0bNnQ9r3K5nKA3QJoQw7lTzqTJ087IkSMJC+unK0+QdZGVgC+I1+PvKsg9hii1kmsT+k4ZCDIZ6cO7JzcC8Pl1o2jt8BKuVxFobaUyORlvZSX6iRNZ9cGbhPk8GHd9QuyIK6gN9fOLbBvGxmI2RW3lo2ypvfWrulZqZEHC23zIgdDYnkTJ8vUCfEtW4vX5KF+3gZzDh7qWRSQmI5MrCAakyYkyUod5ViquolZ0gyPRZIR0rVtf/wMW6y5E0c+h+nuJyzm3x3F8ngDWZhcqjRyvO0BdiYWYVDPnxadTW9H5ngpKA7Wg6f69lCo1Z9x2L98e/obbdzwBNXB68um8OOXFPq9jr+uqUpH06SeITieyU3CAj4uL48ILT81B+hhORlaOQRWrRxV7ag0Q7uI22r4tIegJEHntQNQRcaAygNeBAIyfOIyN32vwqyvJO/IrOS/e2O++nO0WskzDUeeHITepWLXjIHqfhQHjT16s/D8Nv4uwGI3GrnzmMej1esLDw7s+v+6667j33nsJCwvDZDJxxx13MHbs2B4FtwMGDOCZZ57h/PPPRxAE7r77bp566ikyMzO72prj4uI477zz/vg3/DcgGDiuhuVYSkghwxQVTVttdb/bCYKcYUO/pKFxESHmYYSHS7UuiQPCKNwgVXWPu6CnxorRaGTGjBkUFBSQnZ3NiBH9zBjSp8GgS6FqqyQDruk983vjsqF8tLmCtAg9107ofpB8PhsuVxWCoEAU/VgsOzHoM2lo+JmDRfdAOsgiIOvBEh7dXcKAQ0VdZMF7/nnYVq7Ae7SU6EcehsNLMS29n+c7vFwh3MVhMZUabTyCSUZUUE6BWcuRLw8zbk4Gau1xt9sxnifA8vLD3Jj5AMp9bShVToaG7OaZhYeYeP893cetqKDu4YcRfT5in3iCkSlpRCgVtPj8xLpFJoYaKNRaGHB0NwIia54rIB01F1YcRRtw05I7mvYRY/DGBPFGqAhDRVS5i08ifuKlPZI896yUWTw/uXcu+0QQBIG5A+b2uezcqBA2TUph1cYqkiIMfHxl79/SvqYKT7kV0eWn4XBbr66lr+vbSNeqKXXB3+xGFnQqp9rdfvxBkUPKAMssA7iq+l2GTAnjmWYNdEjkVGPO4uZRTzOkuZ2rDuv5Sb0DQ/0B/BoNxcZsDAEXLQoTX/inc7l8NW6LguZVEVyVAs9cDD/lFHFNwVxe75RPny4/ShMGWgJSBOqKQysYurCYwhfMPMETODZ3k/ddxrUMjy3CVH0tbcHars+DgsC7Vz9MbXgiPkuQnJLdyB16RiiqmUgmeUhKxwGblzNuvYfdvywkVV3HxNAGxtQ3s9SgY8Al3zIurm9rguOh1+uZN29e19/KuARe2LGPQ+FxLC8oZ/F+P54yK5FA9qVD0fVDVo5He0MHP724B5fdR1JeOLPv6K3E2ye2vQ37v4GsWTD5LyAICIJARKeTuiIigrRlSxFdLmR6PftfeY4d4RHUCW10+EOxt65F6Wshe1Yh2jAvNveTNDaGs6F9ILtOCyG2zEVDqJzbpvVMjSsTkxB9vr7OiOi0DK556S0sDfUk5knyFMbJCV3dQscjJGQEx0QHNZrey9U6JVMuy6Zocz1JuWEMPT2JoNNHQsu5GGIiQB0g1DUV7eMRyI7TR3J3OPjuyb/xvXk7uhgVTrmXlZUrT+2adkIQBIRTICv/nWDfVCt1mvqDNL+3X3rub9kMNbsgbSqD9OHkTE4jUF+LOv5WhBOoATv3NhGhiMQ8LQWAX9dtQJTpuGha/9H//6n4tyvdvvzyy8hkMi644IIewnHHo7i4uIfa4V/+8hc6Ojq48cYbsVgsTJgwgeXLl/+30GABpLCx7Bhh6Y6wxGfncnD9avw+X79iUnp9Gulp9/T4bNLcLHInxKEzqboUM4/HhAkTunK8/UKhgjnvnnCVzGgjzxzn7HoManUkGRl/paFhIRHhU4mPkwZch+NwlwNu8Dj+c3xkQ5WYSPqS7sI43psCMhkRgSaWq//G2e6vuB896b5sdscYsDQ6cZTZKNpUx5V/H4jP7easW/M5uLGO8Dg9WaNj+LHWiGBrJBCt4aqwT5mWKLmjHigsZVC+JO3d+uGHeEqOELTZKD/vfHQrlvO3piPIDbG0L3OzzdtOvruOgCByLOiVXiOnLNtOaVQHelkHZxVtwGBpRkTgE+NZ7B+dwP6WNNKDYJPBsoplv5uwnAhyQeClCVkwobdGzjEoonSILmmGq4juXa90a1IUr1c1opUJ/CMjmoc3PUxhSyHXDLyGZ+YMY0tpKxcOT2ByZzTqBU8xz+/eTYjTjmC3YJk2kyPWSFy+cuQ+K35DCEpbG0OtBayKmolchMaEaDaWpBG5wgOiyNBORwW3ehw/qlRMjv2ZR+svQxkYgoDAQuducjf/QFyHlH4rkA2jRReHPMOOvMnFxIpNyMtL2LcvktCJi4mvH81Y2STKfFaGhIlc9e18vO0yPs3PY8EgKwGNiXJ/LrOKpWfB3+rGW1lN6Pg4Mq+6j5LlbyOrXU8MIteO/iucAlnpC0cMoWxPkNINNpcXT50TQS1H9ASwb65FNyTqpPuoLGzt6nSrOth6age2N8Lyv4JMAXV7wRgDw6/uXh7wwdL5CNU7EcbcAsOu5NeoGSxMHog8IcC9DQdQeo+CIKIy+vDYlKhNPopqF3Nb5jTu6nCT176e535YSu2OfGKf/geyzgHONPN0FF98jr+5GcP03locoTFxhMacPE8ZYh7OuHFr8XnbMBhy+lwnb2I8eRPju/5u/vgg3mo7EIt5dhr68b3LAqoL99NUUUq+wYRN10pyWg7/mPiPruW+QJCFe2sRgfOHxqP8N2oh/f+ENj8Cz1Gp8aFLkDI0RfrXCaVGiTI1pde2xyPg96OuVGLTW0iI1rO7uBJNRyNxgyci/19yrY7HHyYs69at6/G3RqPhzTff5M033+x3m9+mUQRB4Mknn+TJJ5/sZ4v/vwgGu2tYjomkCHKB3EnT2LX4R0p3bSN77Mn1PI5BEAQik3qrlVZVVeF0OsnMzOwyBfPW2EEmoIo7ucaAv9VFwOFDlWjs1A7pH5GMRONWEh53QRchSUy6FqerAp/XQsTOVJQXQMQNNyCKIh8Wfsi2um2cn3k+Z6Udp6uQNQvWPQ2Ae8CjvLDbSL0vSEeWEZNJQ01n8Vh0soIPbr8eUQySmJvPhfc/QvOrr1L3XSuzbrmZxzPjKYv3cJrFj8wXg8/bQHPzcgCC3gCaQUOwfCcVnurGjmXBggUoFAq8LdWYvVJ0T67KwxC9Eq8zSOyoJup+PI+xR3/iqCuKgBKy4w8yTbUBjeDjb+6viGE9AMagHKMhkmcnv9DjGlVYK2j3tDM4cvApadWcMvZ+AWXrYchcDOOnoozVQ1BEfVwI/hj+mhbL/JQYFDKB1VWrWVQquUI/svkRdl2xi7m/MZiMDwslp7lWItki5O+tIa7ezJam3eg8RwCYmVbODqK5wf8NRNTTnFpDMDyAf5cSRZPAl6efSUv8eZirt9McuRSDdhyi4EcQFQgInK8bwT7dt7TIdCybfjYZ3i2EaltpTw8nymBhdsV6NLECT6pu4J1aPd+r/STpxhKvcKBr+ActByVidkFdKQtyY1D6q/ApVLw8cDJvHijH6PkevyIKRdITXPfpThSyUTznfovLx6dxz7je0ginitmRIfzU2M4Bu5P7U2PRtVlw7mwEwFd9YqXqY0gfFsXBjXVYGp0MOe0Uuy+0IZIKrqWzoDehp7cVpWth9yfS/3++HW/W2Szc30CMSYOt1cLAkhXsSctAlCmpXOUgOKGBIxYlK6s3s3+YjtUjsii+7mIUMTHYlixB9PtJeOXlrt3r+ovS/k5o1DG9XLFPhNYmJ3KzCp3Vi7fCBuPje62TkDuQ0LgEqKvh2oYJXH7nS8hk3RGYV389wlvrjhIU4e9Lijjw+Mxe+wBoaVlLdfUnmEyDSEu7u0c7u9tdx8Gi+Xi9zWRnP0lYqFSecODAAfbs2UNqaioTJ07s1cHn8wY4vKUehUpO9piY3nIHfwCGUbFoc8IR5MJJfcROhOIvfsUkC0E+QxL7+2n5WvyCiivO/J9tctgf/vQSOgUEg8Guqu9jERbkMg5tWodMriA0tveD+Htx4MABfvhBap0VBIHHHnsM+8ZarL9ImiTaQRGEX9b3zAbAfdRCy0cHIAgyg5K4h/t/sdtLNqL76hx0BGHNXfgfbkWhUGBpD3CkZDwhIYvw5u7Arsil4pdfiMyO49XaVwHY3rCddH06GeEZBBtcWEtmIUuaRsuMGD52QktTDUOKXBza38bMG/JIyA5FrVdQuvMnag8q8Xs9VBcdoP2rr2j/agGiz4ftl1+46YMbYfOrdETGcHRoHorQ8WRl/Q3XoVZavzwM/iiin3gP7cAwNLm5aF59FYvFAmqIHSDgb3aRlL6djuRSQEB5cDaRAmzLfByHcTc+g5wEwdWV2gMY6q5kryaZfWmfcEGUmSFR3WmzLXVbuOXXWwiKQULVoWy4dEOPa1jvqGdj7UZGRI8gLaR/yf7fYsXe9zm6/u+c53AQf+Bbvmh5j/zzxjJkRv+Dn6LzRZkVktWlLwOS0eFvERUVxc0330xDQwMmRQy/vNapOKybhcdXixi0YUhr5eL2n1B6QO0M4CiQs31EKGWPqCn/8UU8ISpuXRZgSdYCnBFe6sQNfJ40n9E1SlKCYexpWkljp07P0pyfOXt7HC/teJvn5s9hbsTnZJ5WxqMH78DuNuIT5cjdoXjUDQQ1DlTKKSB8D53F0HK1FPHyukYiGCIIVT6CTOZEx3rEbSXo1U/QYHXjwYwptH97j2MoLX2RquqP0GjiGTH8O5TK7lBhhErBz8Myu4q33QE1zl2NXenJt9eVcsGweKJM/Ud2jWEaLnt8NKLIqQ9gCjXcuF7q9koYAYbfRHIis0FlBK/URaTS6LluQiofbirHZNLTkJCByix16zg7vHxs/SsBOo0lt72DoI9AO3wYzm3bAQi95GJ+i9Y6B0d3NRGbYSapn4LQfyf2r61hY6OUmkxLMnDG3AF9rqc1mrjmxTfxOl1oDL0nZe1OLwa1Apvbj93ddzeRKIoUHrwblSqctvZNeH2t5Ax4umt5Te1X2GwFBINu9u69gunTSvF6vfz0009oNBrKy8sBmDRpUo/9bvruCIe31BMMiOxZUcnlT/T/Tj3YepBHNj+CL+Dj+UnPkxPe/7v6GE4mJHoy1B08hOogWE3t5I2fSHldC0JbJRHpQ9Br/nNNKf9J/ElYTgFiMIDQyfqPGdV5XB3sWbqI0edfRFTKyQes73fX8NQvRagVMr65cSwpET1zri0tLSgUCvx+f1cEyltlQ2ZQEnT4JP2Dy/rfv7fa3kmqRIKOvnPWx+Ao343xuFY+r9eLQqHgp59+QqffgTlkN04/yNPKqNtwJXXNzSTEJVCjlkzMPn33U9RBNZdpp6L1KREcAeZFNmFXWWjJlVOfZOV66wIcHdejyhjD/E/X4m5wkR80ESe0cM59D6NoaOrKrbuVIm/vegWPLZ6oYi32bUPwy/Kwz2oh0+FFppYR9Adx7oWwS/LAZeG20A34PUU4Rt9HZM2bYF8PVV7c6gm0J/yFQJ0MsuA04IPOh/cXhnB2UI8poEN1zl9IpJI5HY/SLur4rvVWoJuwFLYUIhfkBMUg7Z7uFkMAT8DD3F/m0uqWUgKfnPFJv3L5xxCwWFj08BU8NrISQs28E2rmQHkV3oCCzd8fPSFhOYZEUyJLzl9CubWcIVFDeoiXtbau58jRZ1GrosjLe4moqEHY29woVDL8Xum3jlC1MDb8KCm1LtpClGjd0vVv86bzVcNNlPlyuFD0kNIkDQwBtUTust2gaC5mh1LJDkAZWk+HzMv23DYC+FmUU4U9K57zNN8TLjZjCVdxWs4GDu2VXtrvyhq41uakwVKOJr8UdWoq7Qdj+VwVj7vagFwI5UxbNbcsvRnLQBvh2e0gQJMqmS+vH82ifXXkx5t7FWED7LF10OEPMj7UAKKXisq3UKuicTpLOXLkHz30NTqsHha/XkBrjYNhM5NI2f8ljpVrkGlDuW/AdA4st/Hc8sNU/EaZ9bcQBKGvrtUTQxcGA87s9XHA4aVjj4Bi4i9oY1oRUsYiyhTk7v+a28r3EpQF2JY9gowWN8g0KEQVP5//M7WOWkZsfAtWPQoBD0lTpuK6/XNUqakownsSkkAgyMIX9+J2+kCE6dfkMGBMbK9zAbAsLcOxqQ5FmIao24Z02Qj8FqIoUlNTg0Kh6NHdeQx1R9rRGpW47D7KqhwnjPjKZPI+yQrAfadno5BJ7tZ3Te+/e0irTcLhKAIgNKQnsQgJGUFlpZQ+Nxgk4iSXyzGbzbS3S892QkLvuhyvy49Ko8Dd4cPS6Oy1/Hh8dOAjWl2ttLnbuHjJxX2akwLUub3cdbiKdl+ApzPjGRVyauq8v0XFvt1UfrSFFN1AEm6SUqQffPszoiDnytn/e4Tifos/CcspQAwGEYSeNSyHt29AJpMzdNapaau8seYIoToV5S0dnPXaRg4+2bOCe/To0bS3t+N0Ohmel8PGBZ+SEJeD3qaFCC2hF3Q/rBtqNvBt8bcMiRrCdQOvQxAE9COj8VZYCVg9mM/qSaAK1/1KydaNZIway6DpZxA5+XrKS9ahtpTiGHojWZ1aL3q9nuYWPTFxkj7B8biVv8IEG0VLi9CGaGlra6PUVsPGQBS7hXLOLXmbLyL8RAA+8yCUsYW8XriK5tWtTDy8AFknQcpqEvG02kCTT9TD7yDTtPJRwlFWbvuG04+GISlTrEBlSmD3skoSb8kjUNyGDAi9KIsvir5gWeGnTG07zPUuG9p18yF+BOgjwVaLxmHHpMumDcmfBWDInoPsG5aHBzU/CANBAVlH93NV1hLahCbSxGaG++cBpV3f98KsCyloLqDZ2cz8ET0Nx9x+NxaPBa1Ci8vvospWdVLCYl+zFmdFGYzsvrIfHh2BNfAjSUPuOcGWPRGpiyRS13vgPnr0OYJBN23tm9i0eQLTph7CGKYhMSeMysJWVEELF6ccQiNIXVseBdQoFHypiUNx9A5yGhNxpTixhJejcpo4ELWB+wbNQ7fmKcY5FLxJd9h6SugkSqNWsdxch9atQBREVsktzKqNIz++QNq/upyJIcsJEOS0FWV4LG00pE/B0pZA0GsnkGvkrAYFOTWVTNr3HTFWSUuodZ+aYtkQKrJSKK1M5vFQHbdN7S5Mdx0oxL5mNYaJE1kal8Lth6Q0S5xayZ5xeURGnEZzi9QxlZQsOY2LQRH3oTYOFzTTWiOlfvasqCJ87zKU0eF4y4q56YCd26dK2k7bLA7uL65GBD4cmEq2Xoq42Jqb2P3LQgxh4Qw/6zxknWlbR7uH2uI2YjNDMIX37PJyu93I5XKU/dS4tX1bgrfShugJoM6IJDJTS0dbKxUFe1AqFPiDMuIyZbQrmwkRwrh43mSiTCaSTEngeVZKNzkaEdpLu1I/P+6p4btdNUzOjuSmSWkQlNqOFUqJvB4jsL9F0BvAsaEWmV6Jv8WFdUUFoef1Nl4F2LBhA2vXrgVgyJAhvRokhs9Kwd56GEOohhnz/vXW2jC9iifOPbFjuyAIDBv6BS2tazEacjAYsnssjwifwrixq/H77RgM0rnI5XKuv/56jh49SkJCAuHhvaNOEy7KZPeySpRqGcNnpZzwHMbGje0qFr4wq/8upI9qW9hldeIKBjln71Eapg454X5/i/aGOnYs/J7qTXuYmTAP/bR4NFEmVu0sQmmpIipvLNGhfZuj/m/An4TlFCAGg10vp2PCcRX795A9bhJaQ/83h8VtYUPtBgaEDWBWfixvr5MGxBcvHtJrXZ1Ox5w5cwj4/bx781V4nB3sCAR6OZX6gj7mr5+PWW1mfc16rB4r9w6/F7lBhX54EHfRERRhKV3r29taWPH2KwCU79uNzhRCxsgxpN6xEIDgcfVE55wzngMHDvN4pQGTQk+tw0u2eR9T3WFE23eQuGgSMRNjWL5cqi0pMDfwVVsIr8oXsVDnIsov0KRQUG/dz8qmaWysGUeOfzEqnYewiXZK9ZmUFM5iREUEjoY6RLcMdWYmyrQaLlofwK4IEuwsbhYEFdvSFLywYBcAK24dz5ZvDmMtjcMUPZ5XUxuI8fs52+2H89+Bza+AKQEm3odOpqT9mx/wNdjwFP1CtrOVkW+/wsqVK2ltbcXhcFBfX8/IUfl4bFIYPT6+Z/gqTBPGm9P7rsMyq808N+k5FpcuZmL8RM7PPL/fe+AYZIPyya1WcuNSH/vS9MS3RGDxyQErFz7wx2sMQkJGUVP7OQAZGX/p+lwuF1DK/bgDZr6zvcmVNwqw6A5CWi3MSoijVQGEv8A7FQpq/U/SnOsiobmANEsUZ0WfizKvHu/2T5gibqU8OIu0QDzJ7hgid63nn0Mj2FslzRDLY6PI18zFVzsapT2RS4M+qlMOseuAg8z6dRzMuZqOiOGokGMNm8hrExPZduBCFuoeIb7dSuSBvcg778VDYQOpI5z4+HgC/iBtdR2ExOiQuTuovOoqRJeL1rffoenpf6KPSKQjEKSu0404P/9t3O5q1OpoZDIpsmbfUINteQX6gIhKBt4gRKeaiBh7C02vvIoYEUr9/L8xNxjB1eNSeKKyEbs/SIPXx+Qdh7sGlWVvvURbbQ1Oq4WSbZu4/OmX8XkCfPv0Dlx26fiXPDyKiATpmuzevZslS5YgimIPifseCAQRFAKiB4IeKc2jDw0jb/J09m/djCs9F7ESjKYWbr/v6p7bzn4NNr0skfWJkneW1elj/ncF6FQKtpa1olXKuXpcCrPvGkLxtgbis0LJGN53cbGglKHJCcN9SNKAMkzoP9VdU1OD0WjEbrezb9++XoQlMtHIRQ+O7Hvj47Bnzx5WrlyJUqlk3rx5/baVnwxKpZnYmPP6XX5MU+d46PV6Bg/uv8tLb1Yz6dL+C+aPx4VZFzIyZiQyZCe0Pxhp1vNmVRMAWTqJCLe2rqe27ltCQ0aSkHB1v2rYzZXlfP7Xu9AaTczMuw6lUkfotDR8/gArly8FuZEbzp/R57b/W/AnYTkFiMEAgrLTBK0zwtLWUEPeOf07iAYDAX647UxSDrXz6WAZE//yIhtHTCJELWI0mk50NILBADKFgmAgQMDbM72jEBRE66KpsFWQ1KBFtnozL3nWMvvKmwj85a8QDNLw+BMMOLAfQalEpdGhMZpw26WZtTEyij1V7cSaNXxvsfFCeQNqmcDqkdnUHroRn7+eTIuazToHBkHkeesGwuxQkLOZorR3GJxTxAODB1Cw/z5qSixkNOayWZ7DzdadPBoRTqRfxqPVf2FjIAJv0E9lRiGqTAUvpDxKkxAD02BYOSQFRFRAR4ePG7KuouLQ27RFtOIIiqRPOY24v53Gi0+tIs6sobnNzp4HX6XNKBU2D2ycxNStP5Lwj9d5oXUg6gK4YdZraDvbJQUg7PJx1N43HwQ3SR9/hD4+nnPOOYeNGzei1+uZMmUKCoWc8PApKBUmjMYTO+z+FjNTZjIzpe8CwL6gT01l69VX46qvJ0mmJD3ai8/gYNq83s7Y/cHvt3Po0IM4XeWkpd5DZGT3yykr61FiYs5DpYpAq+0Ob08aWMje4i2oVE6G6H+GnGa80ZmsWXs7rY5G5KJIQBBo0zfwD+f1pMWtQB05lnlbllJ12um8c9ZdrJW/ynh5Ec/LPkMmG0aJvo0RE1ZzqCYHrVyDK6Agtb6JKalqFJbu2XRK+XgG3xxKxZqfcGrMdKgVGDwiStEIgkBpPkz+dgH7c7KpCBlNXkU5ddPuZm5aBsoR4YSnxPDDc7toqpRqOy6bnwPHqaLOVqmoDiqpc9Zx93CpG04QhF6DU6DdjaBVYHD5Od2oIOLB0Z3deSN4KrmAVZWrwHoXb01/iwExJqb43Kxtk455Z1L34K5QqvC5pboMbecz7HH6cdl9CAKIotT2fIyw7Nu3D5PJhNVq5fvvv+9BWFx2L+UFLUSMj0dXbkVuUmEYF9/1Hc649R7CRoxn6dKlANg7nYt7IDQZZr/S4yOtSk6MSUNdp+7SwHjpPGNSzcSk9u9Kfuy44VflEmj3IDerTuhOPm3aNJYuXUpkZCTnnHNqUea+sH79evR6Pa2trXz44Yfcf//9//K+/n8j2ZR80nVmRpjZNHoAVn+AoUYdwaCH/QduRS7X09y8HL/fQWrq7X1u6/d6EYNBzrvwAQJrLIRcm4GgkPHON8vQ+R1MOfdSlIredW3/m/AnYTkViMGuyvVjOixBMYD+BP4OzgMHGLdZyo9esTbI2nELOaP5XrDVStLq57zW53ZyhZILH/o7RRvXEj8gj+yxPau9BUHgkzM+YV31OmyfbcAabAa8LP78XaYrDKi9EjERRck9Va3TccXTL1N5YB+JOYN4+PtD/FIniUcpBoeRnBbCEaeHGw5W8KDPxffCFXTYPTTlnMsvay+mfWkU7R0C+qVgewVGPPUrH1BIleIQJCVxXocKm+sMjljz+PBIMUHTRIIqIwetPuZoPah3JyLmqGkSYlCJHryCmpdadjHel0IzIj/W2SjVDyX0yiupX/I5mhQNKbMSUYhWrp+Qygcbyzi9uYicA0vZOTwfrzoEpd/BwCo/JS+v4bNMI3aPn9dWH+Ho0901Aq6kJH6ceToul4uovXu5dexYwsPDe80Ej3UM/FdDLpdz3a23UllZSVxcHEbj7w/bNjQupql5OSCy/8BNTJ/WncISBBlm85Cuv8VgkANrV6Eu380442c99tPsLmCnMxp3/TjSzSuY66pltsPJA+nSYOFRqoirSKMxJEjS0WXoRtzGSvtQtpKHGPDjsOsoCy1geFgtjS4DSrWe0U6TFCH5zezQGVWF+61ZmC1fsOXI37GqNGzM1XKfchUyl4ywVCvJe6TC8pgL72RiZQTBPe149rTjejCMpko7MoVA0C9SXuol+/33sK1YgSZvFB3btAypfZ8IZwlrPoPQh54kZfAwirdupGjDGtKGjWTwaWdimpGM6AsiBkXMZ6SiOE5KYFvdNtLMaZRZy/jgwAdMTJjITYlRTA83oZbJSNR0F0bOuv0+DqxegSEsnNyJksGnIVTNlMuzObKribQhEWSO6C4MHjVqFIsWSV1dV155ZfdvI4r89OIe2hukuojTrs0l67fqysDAgQM5ePAgDQ0NTJ3at6Hob6FSyFh0+wQ2HW1meFIYSeEn9yU7HoIgoAg7uZxEbGws11133e/ad1/Iy8tjy5YtAH+I+PxeeI4cwbl3L4bJU1BGn7yd/d+JdN3x11eBShWO2y1pFen1fafgAHweDwpBRXC7HU1eOJqsUKoa26g/tAt5eApTh/Vd2Py/CX8SllOBGER2bLbh7yYs/n4EmQA0yckEQk3I2yUCcUNUGpR9Ky3c82m/hAUgJiOLmIz+Q5Hh2nAuyLqA7SNVbDryHgAK3Wl4L40ion4LoZdf3qXDAJJ3yaDpM6lZ/xObHW4UgyJx+TRoKx0ciZFy7s9kJnCo/S1+KBdJyqxkXt2PLPOOIU9+hJ2j8zmSlEZtoZ57Er7FpDHi2jEbd52HDZEu6ocYaQjL49pV5cyLdqCJC8Ow3UW6y0BaYyoHjJHMCNtEYXgWiVVVpB3cwdu/KdQrvWYyr0R/wQ81ZShWP8B7u/7B2ugILpWpuHKbDUGhYOz2x/CqzGjcrQhAydiZ+JqkiJdR0/NWLisrw+WSZMKbmpp6LBNFEX+LC7lZ3UPEqj/4LR58NXbUaeY/1IKo0WjIzs4++Yr9wGQc2Cn21/d957d4sC4pRRShMayWVZ+/AWKQEuMAZl51IR9r5Vh2PMel6TMZGNWGqvhcDltG8TNVZBKP1x/D5RVe7qpYwIcJdl6fqgCOYvAtYHbKraw+1IATFfcOjUM4aysJdfu4MWk0ze9/Tut77+GsqmZ/wgieyZpEJAIeYwWPFP4TAIMRnMO3sokZ+AWBF32n8Ut4AbKxB0kcDvmD/4G6Mob2spKu76M3qxk2M4mizfXEZ4YwZEYiMnky+jFjsG+ogWA5Da4KjMow7L42diz8jui0DH557QXkCiVle3aiUKnJmzydsIv7vu7zR87n3YJ3GRM7hlenvtr1eYau96CtM5kZfX7vDpzf6o8cQ35+Prm5uZ2K193RClGU6l6MYRrsbW6aKu09CEtj4xKKSx5HFEUuuuirXjUZoihyuMONWSEnTtO70yTSqOb8ob2LSP9TCAZFmipsGMM1PdzY+8Lpp5/OyJEj0el0f8huJeh0Uv/443grKom87VYMk/s3pPXV1lJ+4UWIHsn3KXPrFhShoSc9Rl3JYdZ8/A5KjYZZt96LKfLkREcMBHHubQYBdEOietgZgCQuOnzYNzS3/IrZNASTqbdu1jG019eSGzoO0SupYgO8u2AhIHDz3PNOei7/G/AnYTkV9IiwSAOk0qCjsbyUjJF9t7opQkPJWbYC9+FitIPykbnqofAjsNfDkMv/Lac16pyzcbQncHRPC0m5MYy4IQ+ZvG/VVQArOwkdnEOTMoSgUkF7koGCcXmEKOWoZTLcwXT0rhLeKn+ewR2HaDGYmfD4F3Ro9cze+CvPvC854x6YnUjanDXs2nQ1qsQWqmKkl+M7Z81hqPdKDEonsdFxsG0YR+LPRefwMXRPG1d4v6PCaWJTagPaiE+4Pe8ZLsg1IDgaKWguINzvRwk0y2W8HhaCzOdjSbafqOECZ+z2k/b5Z2jy8/FWVqJKSCBRoca4tRKVIHLF+J6S2Dk5Oezdu5e6ujom/+bl1bbgcJfrbNRtQ1Al9h/t8LY7aXxxF4JfetHEPTrmD5GWk2H9+vUUFRWRl5fXq83SZBrE2DG/4nbXYjb3LvK1/VqJp8xK0OnHjAYBARGBEnskzWHhvLv3DXxBH18c+oKCK3cxdWw7yxc00r5XywEEblv1OXFJe7EL19EcvRa1V4ZHFcSh3MHtadeQ+PO7iIKArzxAU8tTRN8mpUQNU6fS9umnBG21DEwbxoXnqgg2fMYY02ZyBrxAVfX7dHSUEE0jPqF7UNJqYnE4DuGXHWLvgTlMm3oUQSUjaPeiGy5FKsaen8HY83vPOnXDonAfbmOY5zQO2beRlDSEc+f/DUEmQ2s04bRaAAiJ7rsb5hjmZM5hTmbfHi3/DhzTUzoeMpnAzBsHUri+ltyJcQw/o2cqoaLyXeRyA253Ndt3nNkjkgbwTFk9r3XWQTyREcdNidLA6S4qou3Tz1BlpBN+7bUIfRz7P4GVHxRSuqcZgFk35ZM2tG+7gmMIPQWyALCroo31Jc2cnhtDfkLP9JZ18RJsP0tO8dU33dzDguC38Le1dZEVgKDDAadwDpu//YIOqwVHWQvv335tD2fp/mBbWSmRaxGsy8uJ+1vv8UKjiSUx4co+tu6J6q0FDDKPxTQlEUWohlU7DnYV2sZHhpx0+/8N+JOwnAIEsXfRbXxOLiXbNjHuwrkIsr5zvfKQEPRjRkt/6NLh7kIIeED175GRFgSB6dcMZfo1/a8jiiKeIxZEb4DkodeTtXsJh0XpfOMVAp7GetRJUs4/srSDexdbyAhvxaeNpUobikbjRBD9jCvYhd2ow2h3kr+4ms0TUhkz5QNC7fls9+fhVSgRnH5821KQx9RRP7COhkM2ZMoxnKb5CX11KZsMdxPQxDO2AVqiC7gttRHeHw9+N2dkzWJD3RUU+CMJE/RcZN3Ad2apIHZQuUj7gAEIRiMDNBo0nVEKsaGa9A2fU3LoIIu35DLngUe7iKXBYODGG3v7b4iiiOtgK4pwDf5WN7bVVURc03/9SsFPS4j1dw96gQ7ffxlhaW1t7eq8aGxsJDIykpycnnoOWm1CjxqV46GM1OF0SkJoimgdkydeh6O9lWGzzmFx00r8we76D5lMTbgphstviuHwRVcib2/EV1NN5V4ZbdN9RLS0ET7GjNYcxjMTn8G5qxSFAKIoFYb6qrtrKrQD88jcsJ6gy8WZ5S3st7sg5F6yB/yTuNgoIiNnsKfgJga3LmWvy0qlX8+KpKGozcOpb/gRgFrlUL489CVnZZ1FqObEAxyA3KAi8sZBRDKIifT0HLv86Zco37ubhNyBhMf/MRf3ZruHu7/ZS1Wbk8fOzmNGbjR4nbDiQWivhCl/haTfL2aXnBdOcl7PzpQOq4eN3xzBZrkBQ+bzqM2Qm9vbU2d9u50kjYoqt5fHjtZ1EZaae+4BfwDrokW4DxSS8JoUMXJ6/fxzRQmtHR7unJ5JemT/rbQNDQ04HA5SU1P7JFungtoSC6ExOtobnOxeUXlSwnIMVo+V9TXrGRA2gKzQnhHmBqubue9vwxcQeX3NUVbeM4ms6O6JhmZANigUPWqc+oNm4ECi/voAzq3bMF94AarEU7tHEgbkUXVgHwDDzjz3xCt3ItDhQ9AoEF1+gvYTy02cCLXFh4hpjUcMA+OkBKnQdsUyUJj+1xfaHo8/CcupoI8Iy5BZs/nm8b9weOtGcsb3H37sAblC+vdvgDcgGQ2q5N0hYTEoYm12YQzTIFdKpKRjez2WhdIMTVDLef2x25nWaKG46CD+1av5CCkacckll1Be0IJGp2S7/RGyfW0kGVp4KXgXDpmWXWPGMbZ8H6IaUia2kFDSyI7hoeSYC7j28Ed81HIugjPAlvijzLO20OY28fqlt3BJ824Sft1IfUEIHRMi0LhacGsjuN14BpR8CYIMu1zHx8XRzGuWE26WChOvrUtlZNtw9J4QNk45gE+lgq+/5t5778VkMtHevIu9B67EO0ZgYcojHAzL4JXth1kxagB6uRxqd0PTIRhwFmi7Z0+CIGA6LRn7umoU0TrCLj5xF4BNbMPqqCZCEU+ZfT9zIk9d0fj3wmAwYDKZsNmkNGJ/Duf9bj8pXlLNFUXUmaHEyLqjMJeEXoJWocXisXBB1gU9tjPnpWP5WurGMp45F7mQwGXqm7ihPIT4a8Yjk8vxT8vAXtdMW2EF+VlTibm0p0+JTKdD0GopP1jb6X3kYZPFzUWxoFSaGD1iASGv5uJV7WN6aw1xNVtR3r0Xk3kI2xr28MLmZ6DsOZ7b+Vy/GhbHo7W2mjUfvYNMoWDGdbdgjuq+VqaIKAafNuuE29cftbD8/UKcNq8UBRjS96D63e5qtpe14Q+KXP/ZLkmjZd+XsOczEINQthYet/a57alAFEXq6+vRaDQUrWmlqqgVn9tAc9mTnP9YG253LR5PE2p1d/rhL6mxPHKklkEGLR/nd0cW5eYQPIekyIIqtfvzT7ZU8MX2Srz+IIv21fWrM1NcXMyCBQsAkMlkPProo6f0HbxeL4sXL6a5uZlJkyYx4aJMdv5STkp+OKdd1/dkQBRF2tu3EhS9hIdNAgTmrZjHkXZJjfm5ic9xZlp3TZovEMQf7O5o9Pp7tmZrBw8mfclivDW16Eef2ENHEATCr7mG8GuuOaXvdwxjLriU1KEjUGo0p0yEzWekIChkIIBpxsmLcvuCx9lBwfsLGaSdQNhFAxCU/7cKbY/Hn4TlFCCIYpcvgxgQQQYJOblkjR7P6g/eIiY986R+HAsb23noiCS89uPQDAbotSdc/3gERZFqt5d4tQqFTGBL7RbuWXcPTr+Th0Y/xNwBcxFFkV/e2k9loSRmdtnjowmN0eNvdXf5pYieACqZjEtiw/hqbTX1nW2JhzpfcoOmJdBaZiHHn4hMSMLmLUQh8xCChwadnoqz4jlDLg1sR0NTAEnT4sKP1jI5To4rLpEHchSsMsZwjnsWXt1o6mV+gkEpOZFX9DE18ZMZeMEIRp2dithyBb4DX/KPqCtJ3/srFbZ0soyjUXa2o9oqjuJOD0HWZgNlOAgCqs7anJbGdSAEeW7XvVRbTahpomxQKN8ktnEtVfDBdECERbfBY5YexaCmKYmYppzaC2f8JVewTbmAtqCVM+Y8cMq/2b8CtVrNzTffTG1tLQkJCWi1p36PgPQi1mR1kzOb10a9V8Aryhlo0PZov6440MKGBSUIMjjrlntJOuMMFOHhuA7JCG6vQRaQgR/eveVqbnnvCxRKJZOOMxLs7/hv56XwXnUTZ0aa+Wtaz3RMzPjHmLL4ccqDeZztuIOlbU4SwwbglZX2s0f4aW8NC7ZXMyY9nHtmZCIIAmXNDrZ+9gm26kqcVgsf3HE99z15G2x/B+KH0zbgbjZ+V4pcKWPy3GyMfRSRHlhfS9AvgghL397DwPFVdFgsjL1wLmFx3RGskSlhXbdOfEjn7xGeLpGVTvhbWhCUSuTm3l04bW1tVFZWkpaWhrmP5WvXrmXDBklFOTd1GD63FP3QGEUOHZLut7Kyl3qkhaaHm5ge3rvTMPHtt7AuXow6PQPDxO5i/WijptcA3xcaGxuRy+UEAgFJ3fsUUVRUxIEDEsn89ttvefzxx8ke3ZtsiwERMRBEppJTU/s5JSVPSN9Vk8DYsWuptdeSYEigxlHDnqY9PQhLYpiOD64awZrDTZyVH8vA+N7XUpWSgiolpdfnliYnng4/USnGfluGTwWCIBCT3r94XV+QG1T9atmcClx2G4tfeIYhwkRkKVp0uZH/5wptj8efhOUUIBDsDo/6g13tfqfffCdfPnQP3z7+Vy7429+JSOyfQb9e1YhRLqfS7WXKjuI+BYO2bt3Kjh07SExM5Nxzz6W8vBxfIMBfO2Rs7xTWKhiXx6LSRajkKpx+J09vf5q5A+bi9wapLGztUpfcv7ZGellPTiDY4UP0BjCd0T3rmjFjBitWrCAhIYEzz5ReDDGpZiZfFob/y0YIytG15hJrnEujbRcpLiP3GfN4QR7NzJbJzC3NJrWumdZfnkPu6CCmZDVfjxyH1i1n1rZoTM4izi37kkUzL+OWMx7jYsdCDhPKD3Fh3GgMkNhQT2XVUWz5aqrESNpDfWTVtrOs5gPMqijaPHV4RR/6WjOq9jYyk5OYed0tXYaYCemX0NS4giZHBCqdgNcpIm92c05UKBzdQrcd9B+DxmBgylU3/Mvb+3xW3J56DPqsLvHBE0Gn05GZ+ftein3hi6IveLJwDbaI20GQMcKkY8nw7mjS7mUVANha3Lz/3K+UzV5BRU0FA3RZXKmegK/Nzr6m1TgDfbTTngATmmoZVrADw7RpyH8zOLQkn8V0T3c6wuL0kRgGMxJmMF01neqOaq7KvaprudPr5/7v9mPSKtlR0YZMgKxoI7d+uYdhFoHxnXUqacNGwvfXSZL3ZevYviGdNlcyTpuXzw5sYca8XPavqSY61cyEizKQyWWkD4ukdLdUBxKbUsG+lcsJ+Hwc3ry+R23CyJQw1t8/lVqrhWGdqRfSp8ENa8FShaXQRf3ESSCKRD3wAOHzrunatqOjg3fffRdPZ73E3XffTUhISI9rUlFRQUiIHnPIJlpUhYy/43FCxVhUYZspOvy7Lj2K8PA+owZzhsUTolPS2uFl9qD+J1YjRoygsbERu93OjBmnnmaIjo7uIjr9wdfQQfMHBwg6fBjGxeHMLkOhMOL323G7a5AJMl6Y/AJfHfqKs9PP5pbBt/Tax/ScaKbnnNye4XhUFray5M0CECEkWndCeX0AW6sLjV6JSnPioTEoBvnk4Cccbj3MZTmXMSRqyO86r5NBDAYp3b2D1R+9TaZiKDqTkaiLpGjV/7VC2+PxJ2E5BcgQkXemcsSAKNmCA2qdnksef46vHp7Pxq8+4fwHHut3H2dHhvBceQMAb+b0FjHyer2sXLkSnU7H/v37aW9vx2bdQYyhhO2ZLyMHAsDCpnbOzTiXddXrAPjb6L8BoFTLGXZGMvvXVBORaGDs+emAxPCPdUi0t2+nsuBd9LoM0tPn92i1BPB53Hz//KMYRDNx2nRSzxpDaNS9rP5oF0cSf0EZs4kmuY/PIw6QtOM12toNDPdKROq7mSK/JGwjviIBk1Oq8cisPMzII9sZv3UvT+bOw6CwoupwseynFTSFt3ZaEFzKhOh9tDCDlOTtxASOUOieAMorEDu+7CqezMzL79EKrNUmMn76Kl6PaeCDTeWkxxh44qxcVAo5DDgbJt0PDYUw9rZerbYtVRXUHC4ibdgITBH/dS2NTmcFO3edj99vQyZTMWVy0R+a4f0e/HT0J9TGqQiiB1HQssvWU1o8OT+C7YukduK2yfvZ3bgbT8BDXUcdW2I28GT0PNJzxjL+ku57xGmzUrxlAxGJySTmDep1TF9dHRUXX4Lo89H4zLNkrF+HMrp7gEmPNPD8hYPYvqOYs81u8iIl8ll6tJSQ4hBCCGFvzV7OHn02crkctUJOUpiOshbpHhudGs6Kgw3oVXL2mIdQr4nhh1snEJeZDe+sgkZplh+REkLZdillmjo4grWfH0ZnVnFgXQ1+b4BpV+WQPjSKec9L0aiyPVCxb3G/1/KLI6/zeZEkyrf4vMWkmFMgfhjED8P28g0oIiPxNzXR9NxzPQiL0+nsIisgaan8lrBMmzaNrdueoCgyhg+EmxCb/DyU5ueO2LPxBVpxOStJTPyNYNzvhCAIpzTQ63Q6Lrroot+9/9jYWG6//Xba29tJSurbYsJ5oIVgpyu5Y0sdKTNvwetrJRj0kpnxVwAmJUxiUsKkPrf/V1FfakGukBHwBU8or7+zYSfPrnoJeb2JcRXnM+u6fLKH9y+ct6FmAy/vlgwml1Uso+Cqgj4NUn1BH+/tf49qezXz8uaRHdZ/l2DA76f+aDHVhfsp3rqR1poqsvLGkeUZgXFKIopw7f/JQtvj8SdhOQUIYhCFoluH5XhBJX1IKAOnzGD30oWShH8/Bbj3pMRwUUwYRrkMs7L3ZVcqlcTHx1NTI6WNnM1BQo60M3hzA2ddtpqlE6Yy1GTgqrgItPIoNl26CRERoamV+qefRREVxZhrrmLseen9fo+iovnI5FpaW9fTbinAaMgCIUBa6t1Sjryz/bLd2UC7pwFFMIutn75JIDpAQNEBQnfUojUgAmp2XjiO2zzfszY5Hlomc6RjCoMUCwnx22iLMfLkx98jTxiOs/E73EEfhZmN5DabGLhPT/bhwxxNjmLfmCkAHNBNYgofMd74PfM6prHbNId8XwUPXHkag0ZKarDOQJBmr48kjQpBEDg9L4bT834TfpbJYdrDADQ8/TTt39+DNn8gSe+/h8Nm5cuH7sXv87L6Q7j53c/Rh5xal8LvhdW6F79fqkcJBr1/eH+tXj9PltbhCgZ5KC2WFO1v2kCtNVC+EVImcEXOFTy+8x0UoRHEmwfwel7PqM2IWSlkDI9CqZazud3P0vU/dC1zq4NMu+IW1PKe+//xmcdoriwnGAgwYe7VjD6v5+AWcDi6/KGgs/siuudAeV40DP7gAYJOJ8V/hwEH9hMdHY1KqcLvhqDMiyAIiKLIuxtKiTFrmJ4TxVVjU0gM05FQv5KDYjsWhYmn504hLksKt4uX/4R4eCmHnAZKaq3knxtDVnYG0akmvn9uN00V0u9wfAGoxiAR65yJU1HrDThtFgaM6z1gfn34a1JMKVTYKnh257O8M+OdrmVhV19N3V//iqBWk/j+ez22i4yMZNasWZSUlJCfn0/ib4o7fW43bYf2kx6VyKckYcaKhVCeLqvnzuRokhJ7puCaPD5WttoYZtKRa/h96cL/aoSGhp6w20c3KALvtl9paVtKqykVk/0B8ge+/l9+XvmTE2gst+Gye5l4Sf/1ak9sfQKby0V7dCGNhnJkH91NZKq2X+XdUM2pvTOWlC7h3YJ3ERH5peyXE9Znbfr6M3Yt/hGVVkfyoCHMuO4W1NsE/M1OTFMS8Pr8/ycLbY/Hn4TlFCBDRNHVJRTs1UufPGgoW777kvKC3aQN7V+OOqEPzYRjEASBa665hprKavwflLE+ZgODi0poMmmY/9UH3Prtp9R9uRxtJ1lSyqWXbfHt9+EuOYLK56D5h8XkLvup32NotUm0W7YBUFNTiae6nIYd4cgUV3H1c58QEh3DRY8+TfHWjSTlDWJH8VEUajUBl5MMVyw632BoKCOx7RIaY+spSfuArcLV/KQ4jWsb3+MVRxaC2sfnCZehEP1cZ9qEYewlLInZx8/mI0woiMCtsXPpSgsyoDxhGI3mUAj4u4qR9biwGK5gl0OBMSKCzVYTH5bKeXWkZBx2xu4Smrx+IpQK9o/PQyYI4PeAIO9V0OxvbubgyqOUDH8KUZBz2tsLMJ87Eb+vmzy4Oxz/ZYQlMnIGYY0TsdkOkJpy6x/e3+tVjfzSbMERCPJzk6VnWtFjh3cngVOqYTr/1m3MvvQX5IK836hOSJQkKna6+XQ+L7qf8rdfIbPCS8h7r/YiKwAdVgumiCgsjfVYy+sIegM9dGw0WVnE/uMpHBs3YT73HNTpvcmz58hRgs7uma7o8xEWFsZA0xlUV1sASaOkxO7i+eXFAGwpbeWCYQks31/HsFWP8MwKJT4b8ANsuesN0sdFs/X5Z9E1NuJVKjkyehRHKCEl71qCHVrOvjybxnY34QnGPutZBEEgfXj/hZqXDbiMT4s+BeChUQ/1WGaYOIGszZv63Xb06NGMHj26z2VrPnmPQxvXEPD7GD/VTk3uYPQIfJ7f+7oFRJHZe45Q6Zbu3Y8HpjDrf9AMWxkmx+t+jqV1WVB3mO23zeOeBYu6mhlOhg5LO4v++RTNlRVMnHvVKXfp6EPUnHv30JOul2ZOY61N6tBLbx2CJbSAlpaMfgnL4MjBfDzzY4rbi5mZMrPP6ApImlniKaannZZ2DOER3PD6h8jkclwHW2ktKSL8yhwEpZx3v5YKbaf+Hyu0PR5/EpaTIBAIIhfEHhEWFD1vzug0aZZXe7johITlZFAoFCSnpmCJ+JXrGl5h7zADvn0mDiQLvHJekA+ipYHH3eFj+89l+L0BzPYAalEKtbZbTrz/gQPfYXfJIrZtPkq08Sgt+5pR6v14LGq+eeKv3PTWJ0SnpiOPMbOmag0RmREcOHIUObBmwBjyIgXyZC08M2EsCl8VWlsGnoghHATuj36JUat20SwKCMpabildRcWUafzgK2KX9iB+tZ+6CBf6Di3F8WFEuIyUZ1xHwHMIfdmveMNj8BvMvCRehder5Kr6r6lrjuSn2HO5s9OldYe1gyavH3xB2prsNNk9xFQukQpr/W4+SnqGyOHnMXtwHD5vgK2/tnEk+2KUHgceTRirihO5NSWN6dfeQsX+veRNntaj2j8YDOJ0OtHr9f+W1I1CYWTokE/+8H6OIVGjwtHZpab/rWy629pFVgBoK0MRdXKL+2MI+WIFAztC8Pvqsc+7HfrQsTjnngfZsvgnUhKmkdYYQ92jW4i4IR9Nekj3fi64gJALLui17TEYJk4g5KILcRXsJ+yaa5DpdHhcfqoPWlDrFHicfvavrSFxahwqhayrWPTKj7bTbPdi9jzF17YnUQ44i3WDhvJUmpnT16wlKSuRAedXYDRVk1CtpaZ6IFq7nIb3dyL6gmgitBjn9+/ZtLW0la1lrZyVH0t2TE9dnvkj53PrkFvRKrRd98Uhh4t6j4+JoUaUfTgRB4MBDm1cR8DvI3fiNBSq3pMVr8uJUqsjYLdh2FBO4c39vzv8okij10eUSkGT10+hw3XKhKWwsJAlS5YQDAaZN29en+7K/+UQZHjFf10YrnjrRuqPloAosvbT9/skLO2WndTUfIbJOJCkpBtOqWbsGF6Y/AKbajbRUtaCw+8gLy+PrKwTdxCOiBnBiJgT+4BNSpjEOzPeodpezazUE3euNVdVkDJoKDK5HNEXwLKkFHVWKJrccKnQ9rBUaDvl/1ih7fH4k7CcBO7OELeiq4ald4SlulByqM0aPf4PH0+QCYRckA+fgCnOzbyRoQQ6X5Ip4VJl/O7llRRvb8DnDqBMuIxE1WZcchO5D5y4i+OxJRUs2BEKjGSMKpoxoavx1UieIzNvvEP6fqLItSuupdxaDsDYqffxs3swETRzCV9SkZYCggy/Ig5R6H4JDyr3MKWpnkCgkmhrFYeT9FTaduFVGUmzZOLBgl8lMPpgKDUp51OnjJO6r9Q5qGR6HKEVyHwevGojCmsrQbWWhI46dgzPIMIozYonmXWc5mhl0243Y7wHuWPfFh5O2E++NhyZvZZrqx4kpSQZEUhpC1C4sQ5RUBHQSLOkM2+R6i6GzDyLITN7tnb6fD4+/vhj6urqUKlUzJ8/v6sj6b8Lro2PIFmrps7iovJQKx9sLOOacSko5DIwJ8DZr0DRQsiZLbVz/w6YzjyTxqeeAiD2H0/1WLZjcRkHN9YRkizjkNOPRrMF96T1aJVenGvuJiv91P2QBKWS2L//HVEUqS0uwlZYQGLeIAZOjqdwfS2GUDUjZqWg0Sv55Y4J7K22kBtr4uzXpSiGVW3ktTvmczBsII1GB3dveh7BF0NYTgmhYZLXd2rqPmqqB6JpFfF0Ejx/i6vfcyprdnD5B9sIivDa6iNsf2g60aaekRidslvifkObnUsKSrvmzX0V0G9f+D3rVywjXJNAxdfbOPv525CF9mydnjbvJrYv/BaVRsvo83or6B4PtUzGe3kpfF7XypgQA7cmnpq2CcDmzZvRaDRYLBbeffddHn/88ZNuc7D1ICsrVjImdgxj407NviIYFLE1uzBGaLq6KrugUJF81zcM/+oNmt0GJl58Q6/oiiiKHLUcJUwTRri2p0ZNYt4gVBoNXpeLsH5aig8cuBWF3EBT01Jc7hoGZP+91zq7rB3cfbgKb1Dkg4EpDDJKv6tarmZ68nRIBk7BBUEURURvEJn65JGO8fEnHxfsrS20VFUybJZkT2BbV0PA5iXiunwEQfg/XWh7PP4kLCeBxytFL5TH6k78Yi/CUrZvF6bIaKJS+68f8Xu9lO7ejj40jIQBJzbaE1LGwOXfk163jy8SB7Pf08L0pOldL029WYXP3SngpTJy+qJnEaDbPqAf7KpoIyVcR0Wrk0IhjQX/vBl7azMagxGVRsqJi4g0O5uJN8RT66glTdHAomEXohOSsR2MJ8VdwR3ii7Q1Z3BB9R4KVr6MlWj04mi89u3o5HoORclYMvQosqCMuPqpWPzhFNXfQZazGFiPkgBDTVo+x8tB/DTJwpkt1qDt5AdKSzMKp4PsyNF4dzfRcKiNuEfHsmbJIoY3/cJgn5L5qu8A2NeYiShvpsN/OqX+63kKJaFKOcZwFeJxug03vTYZxQlk+JuamqirqwOkAui6ujpS+miR/P8JQRCYEW7ish+LONxgp63Dy5L99Sy8rfOFOGKe9O8kEH1BAnYv8lB1V8Qg7IrLMZ0xE0GjQW7o7uRxd/jY+UsFSrWc8uIG/GF+YuOKkct9iHIf1ekvkMWpE5ZjKFi1jNUfvgVAeEIS17z4FhMvyUJ2XLQiM9pIZqc42CNn5/L9DxvI0+9GV3UBlxyQWuqviCigKWEnVYkyjlkZ+QNydkbsRjvkIVxFrfibnZjPTOvzPHweN8vefYOg2C2JfrzeB0iDk82+H5UyHK02gSKHC7nQ5dLRJyratjJkznaUyo0cLJxC3XOHSXi2J8nQh4Qy7ZqbTvmanR5h5vSIExsY9oW8vDx+/fVXAObMObmqr9Pn5LoV19Hh6+Cjwo94Zcor0mB+AgQDQX785x4ay6VaoWueG99Llv89Zyi/KEfRYdKxuEPOZ7/Zx3M7n+PLQ18C8PSEp5mdPrtrWWRSCje8+TEuu61f9WKVKhynUyok1+v7jo68UdWI1R+g2evn9F0lfZLNk0EMiLR8UojniAWZSUXM/BGnZPFxIlQf3I8oBkkZPAx/qwv7+mqMExNQRmhZub2ws9B23P/JQtvj8SdhOQncnW7JSkV3hIXfEANbczNh8QknTCOseOdVDm9eD0gz/OnXSm17fquH9u9KCDi8hJyTjiYtRDpO+gz8SdMYqJbzW1P6wdMSMYRq8HsDZI6M5tOtlfxcUMfpedHcOqX/nv+HzsrhuWWHmZodyUsXD5FE1H7TJSMTZLw05SW+KVrAhVkXct3A6yTti707qd5zNjHJ8Jej7+O0rqEw8kLySvZjsB9l2+CRDAqdSkJ4FqsGfsmEAhXDy7zU5IZQrpGjFL1kZpeRb6kjTFbDm7JktuNHqmaQ8Z13MFeqdyMIkJBoJDN8GnH1UkpDnhvOD8/vorEsgqHx4wmTfUuLaCJCsDFEdgTfPeW0PV+ESidjijOAZkcLEdfkcf59Q7G3eUgbGnlCsgKSSFt6ejqlpaXEx8eTkPD/z4vlZFDIu1MlBvXve4QDNg9Nb+wjYPMiM6qIfXAUQidJUERE9FpfrVUQnWqisdyGilCGDBxGh6cDpbICAJXyDOrr63ukGUQxQFHR/TQ1Lycy4jTy8l5CEHpe/5aqctR6PZ6ODlprqgB6kBUAty+AWiFDEASum5DKWWu+oH7RHraMPI+AwP9j763Dq7q27v/PPm6RE3eihAgEd3dKgXqh1L237rfe3np721svpe5QSkuLFae4EzQJIe5uJ8fP3r8/dgiEKJX7vt/fy3genjZnr73PPrbWXHOOOQZKCfIdgwlQrQPJ1Pr7e6hUQ138jSi9NATdntbl+1Fw5BD2I9uYbiilWB/BY/fMP6230oLs7BcoKv4CgPj4f3JV2I0carJSWGvlziIPTVtL8DrLS8g/Kg+PKM8TKambofT6Lu/jFKyHKrFn12McGIS2ZS7oDI7cBjzNTvRJ/rI4WScYPXo0aWlpqNXqVlmA7iCeoTPj6sS76kxY6h2twQpA7sEq+o5v+xvy+uA9XlsuKxuvGzoKvvqkzfHtJdvp5d2LgsYCXtrdNmAB0BlN6Iydq/QOGPANlZWr8DIl4+vbcalmgp83v1XL93nbOWSpzoS72oojux4AsdGJPasOQ9/2vx0AjyixJbsKb52aQb0658qFJsjdQ5UFuXgfNqA0avCaGInT5Wbd2t9aiLZdB43/F3A+YOkGpzMsZ3YJtZ1Y3U5Ha4aiM9RXlOETHEJDRTkndm1vDViad5Ziz61DEAWqFx5BfVsYBp9wlr15gMZqO/GDgph2S9uQRVAIxA+SA42yBhv/WnEcgPSiesJ89Fw0oON2vKGhNXyd8B56VRAmVRLQvuQh2u2E/XMBt+3Zg3G0DRZcj9XazC+vv4BBsKI/Vk3lnIf5MbOZuqoGGD+OUdZoJjR7KPYKY1P4D1gLppJSG0yzqYiwxhp8B20mO2M+qTvKibNPRRM6CQMOnEiA/F6KKACJ2NhcQiJ20MRGVKMXoPdO4oMfN2DK1eNxHEFZ1xfL8BqaT+qoc/uQkxlF4s134DXjKYQs2R3bNErWmghL6DmZVqlUcs011+DxeLqVJJc8Hipeehnrnj2Yr5qHeV7n/k1/B968Io1vdxUS4qPl8kHnJj3vyG/E0ygTN8UmZ7dyNYJC4OIHB1JTYsE32NCiTzEbu/0RPvlkIdXVLjZs+IjLL7+clBQ5c9jUdJzyCtmluKJyBWFhV+LnN7LNdYdedAWWulo8Lhfjr2uvc/Pab5l8+Lts5LjpofFEKhzUffcder2eqMLfKIybRJHxBDt9sxhdGMLekAH4BnlTrh9Fqnc0d8WlIAgCR7eUsOuXHLQGNRc/MBCTue2u388WyPTImxhkLSS9fjMjEh5sdy/19XvR66Kw2Qs5efIVJkXdwvuxEZR+uxNBraThcD2CSsA04rTGSVLStWSdkNt1g0snEnpn97wRV3kztd/LRGPrvgpCHh2CytxxgGE9VEXt96eFWiJe6VqB+VzcwQ1qAwunLOS3/N8YETqCcZHdK3l7+elIHhNG5o4yQuN8SB7VXu9lYFUZ9X4B+NZWM2XP9nbH7xpwF2/se4MkvyTen/R+j+/3FLSaACIjru1yzHXhAYzz80IlCF02QXQFVYABbbwvjpP1KExqdImdzzMvrDzO59vzAVkP580r+nc4zic4RCbaZtSiybDjN78PCs15ou3ZOB+wdINTHJZTGRY8UrsMi8nPn+rCgi6vM/mmf7Bjybf0Su3PuGtubH1c08tbFlgRoMFZzfpn3mLSTW/TWC1zS07ur2RaF7plvnoNId46yhvl8Slh7RUwASRJpHrZLCLzqlBIwM6vO5QUtx04gHXPHgCat23DVVKCIsAfpVrN5WFH8NHYEXY9glW4C5dCRC1qsGgkvBTh2MRjOBtDMJU5cTR8QogunHGaK6ltbMYw7mOiGuux1o/kvkE6DvuYGJhVQrRhFUGGKtICjqNNWIaQPwuFwoTHY8Hml82CHUvJ7p/AoF47MWY7yKrKpK8rmbqAMBrCf6dCmoJfZiYbB+5i+IAB9Invi9LUfiKyO8opyF+ASmUiOvofKJWGdmOgY7O6s2Hdt5+6b+XUdflz/8I4ZgyavzkjI4qe1pp/gEnLvZP/mLicrrcZTbQ3zvxGjMNDoQe8RKVKQVCvtt8rlcpMQ4NsJ2CxWKiqqmo9ZjTGYTDEYbXK6qwdOdAafM2Ejp2Kx+PB1IEWzufb84kLNHGy0sKjSw+z+JZhGIYMwbp3L/G5y5n60T1k1YWy8mQUVxmD8PH1ZaqwhqWHXwQgz/Aoo8xXs3dFHgYvDXXlVn5562Ab4TDJI2H9rRRzQBg+9QH0mzD9tGfYGYiLe5jsky9iNo8gJeUtAAS1AqVJ0xr8qYPb+oNFRl7KpvoqPj7yCSrNSb73M9Gt0YJKIX8eLckNoYsSr7vGBqpu6lJ/Av2D+p+TGJogCEyY34cJ8zsnhMY89iiVr72OwmswIU892e74tOhpTIue9kdu95zQTg7gHCEoBQJuSkVyeFB0IzCXXWEhzEdHaYOdnw6UdBqwKBRKNBo9xhNatPG+6FMDKCg/RbSN+T9NtD0T5wOWbuB0yVwRzRklIUHVNsMSGt+b41s2YmtqRO/VccAQHBvfobCcPsmfirRKjqz+jVpnOZc+8Tz+EQF4rS2kqcZO3MCuhc30GiUr7xnN3vxaBvYyE+TVecpXED1IgiD723cCXb9+aOLjcJ7MQRkQgDo0FEGjYd79d+H163bqJF901GN07gd7Gkn6SAa5Ze5O0LGtZPcJw1P5G+Cm3J5PqTWHbeJsXlNdgXamg8kH0tkbqCWyyoVbG8Q4aklQphN5uI7KvaPInv0oQe6jBPiPoyT3K/JCp7BBmMSG0ElMCFnHBbubCTsip0YDcmdztN7F+4PzOJAuG729H/A+Y01jWwl8/np//HR+nDjxHPX1+3C5aiks+pwJgzbAD9ex3JLLj+EJDIuX1TV70h2kiY5G4e2N2OL5ozKbaaiytpTYusm01ddTUFBATEwM3t4df1fOhNNm5ceXnqbsRCZxg4cz+8HHum0FLTiczu6fF2MOC2fCdbe26VBR6FTdlkl6ApVKxRVXXMH+/fuJiopixIjTxEyl0sCwoSuw2QrR66NRKNpPM1u3bmXr1q2IosjatWvbEUHnD4vik20y8fuFi1IRFAqivvic1Wv2sqjIw8hcB7eN7Uu/fv14rOWcy359qlXa/dW9r3J18tXE9g/k6JYSAMZccVaQpwBNuAlnoazma0jr+Lfm7z8Gf//f2jwmqBQE3dUf+4k6NL28UQe2D4AXHP2KAEMYeQ153LfpPhZduKjtgPTvIG8LpM2D2HGoA/QE3tIPR049+n6BKL07zwCYRobhrrUjNrvwntK9R43LYWfnz5mc3N9EWIKZqTentCvB/d3QJSYS9ekn3Q/83wDRA5tegvIjMOIfEDu+zWFBEBC6CVYAHr8giZdXZzCgl5l/ze6cu+iwNhOr7YvSocB3dhyCILCwhWh7x1U9a+H+v4DzAUs3cJzKsLSQbiV3W+E4e7OFIxvXolSrcdpsnQYsXWHwVZeRMmsqaq2udXG5+vkReBxO1D3YDfx6qJRPtuaRGu7NO/MGoO0gdSgICsyzf6Ju8xPolX4Yp7zT4bWUJhOxv/yCp7aWrTUiq+99hZEF2+gdfIiTkYEcIZI3I6uxKUsYWpiCWimhS/iauGNJRPS9nSuBNcrPaJCqkSSJbdajrPKJpW9xMQ7Hen7X+NNrewzXFsvvZwm3Mzv4UrYbNNwZHoh04CsMKgPrr1hITs7rFLp74a+qokYIZJMwhXHSMn7wX0uUI4Thln4MnBXJZzXb0QganKKTekc9AC/veZnvM2Ujt5fHvEysVYvpQwuKBhWe8f5Ysl5HKNvHU9GheDXmc+DQhyhddm4LHgnhg0DZuSOzOjiIuFUrsWdlYRg4kMz9dWz6Rk7Pp44NZ9xVHatZNjc3s2DBAux2ORvWkVT72Sg8doSyE/K1c/btwmG1ojd1nd5fu/AdlGoNRcePUFWQx1UvtHf87Qz2Zhfbl2Rjt7oZflEs/mHtOQNNbg9b6ppIjYhibic2AgqFBqOxcz6V2+1GoVB06lnz5IXJ3DM5AaNGhbJlYbW4RO7eVotRo2RLXiYqhcDNY06Tae8ZeA+v732dtMA0/jNeViEdO683aZMjMXhp0OjbTneCIBBwc1+ceQ2oQoyofM5t56301mIc3HneZEb0DH448QMAjw49y4eq7BAsa5GfP/Q93H8MfCLQxvigjemeWKvQqfC7rPO2W0mScBVbEDQK6u2VLH72MRxWC0pNHLamOaSv82LgtD9mxvffwpLyWp5o8V/7ZUACSWeK5UkSbH0DcjfDwOug37kr9HaJrFWw9d/y/2evaedH1hkaGho4dOgQISEh9O7dm+Qwb76+qWMdnjNRsPMAST4j0Aw0ow4yyETbBploGxbg++dey/+PcD5g6QanOCzaU11CHrFVh8VhbebnV/9FQ2UF8/71Oj5B5+ZzcSbODHRqq7eg+PFmfMsrkIKTEW7eBOqOMycuj8gLK48TYIQ1x2w8tvQIb17Zv8OxJu++CAH/ROHnDwa51TcnJ4fMzEx6RURSfkBFXXkzgy+IJiYtkP+89AmvbpIX/QrLaNSB43lTY0Dt/A//XDGQkl6yB1FOSSwpviqsoguDQk2yeSR7mpay12coBw398cspYp60kzUhdRRWzcLg8nD2Vy/Dyx+VoMSFiNVtpc/2DAZJdzNXt5WfXTOIFW1MKc7jl5h9VDrLcOLk6pireHTsY7xX+h4rclcwMmwkM2Pldt5tJdtaCXyv7HmFn+rmUnNkPbiAnCqKWIWkCSDiHjcFajk4GbjlXWiSDdl4ulZWzO0EqoAATC0k1cLjOa0eTke3lHQasFit1tZgBaCxsbHbgCU8MQlzaBh1ZaX4Boei1XdcyjoT/hFR5B2UTSo7Um7tCoc2FHHyQCVup0j+4WruXDCxzXFJkrjoYDbHLPLreNLHTEl+A+N6BzE9NYTcKguP/XQEUZJ48eK+9A7uOLgaN24cKpUKj8fDyJEjOxzjrWsbNOrUSkK8dZTUyy3KpwzwJElifeF6ypvL+eaCb/DRnl7wBUFoFcjrCAqNEl1ix+JgfxZPjXiKm/vejFlnRqc66/erMclih1KL/04HQn1/Bk2bimhcK5epT3odxeWQ3zOPMwe1sa3i7ylYrQUUFX+JXh9JZMS17YjSZ8MjSkiSJLfV/w14t6ASP7WKfJuTCXvP8l8r2Q8bW9qW87fKVgn+p7s0rdZ86uv34Oc3Gp2uLZ/m6NGjlJaW0r9/f4KCOslge4eDoGhjctkTfPPNN9TX1+NyuRg/fjzjx4/v9hxJkrBtLEep8CFwdtJ5om0XOB+wdAOnSw5YNGeQbhVagabaan56+Vmaaqq49LF/ERTdcdvkmRBFkbKyMnx9fTEajZ2OK9j/IAPKKwAQKo7LEX5yx2lBpSCR5F/M0SqZQzEruXOr+/LnX6B+8WIAzNdeg/Huu/n2228RRZG9e/diKKzAoL6UVR8e4R8fTsAWvQy7GlQeAf2QW5Fo5Bt3MCsPJRBY30TJGRu0LJtIvE6FxSNx0ucnmKDiwIk0rPUaHnL/wEV+65GCBnIoXyJPJeI27CdetBHCWnKazFz66FaO736eals15abL0KjU7HGMZI9nJOWT+rc+z7qf1+On9qO8uZwKUeZNjAgb0U4r4p4B9/DGfpnA98HkD9DtOUaNq605m+BU8O2Mr9nprCa1voyIX+4748PydBmwtKI2j4H6JdQJQ1AH+LUjSJ+JwMBApk2bRlZWFv369evUd+VM6L28uf6ND7E1NfZYkXfWA4+Rn74f35AwAqOie3TOKfgE6XE75Ula6KBk4JIkspsdhKoUlNncvPHDUSTg+z1FLLh6EOszKsiqaKLe6mLqf7aQ/0rHejAajYYJE3ogeHEG1EoFy+4cxZYTVQzsZSYmQP4N/Zb/G49seQSA1/a+1ip/vjpvNR8f+Zje5t48O+LZ9kHDH0DGjjLK8xpIHhlGcEz32VT/ehGllwN8znpu/zi48Tco2A5Js8H0xzpWOoOzoBGFtwax0UlIbQQ+QcHUlZWSNuUyxl0zDnUH+iFHj92Lw1GG01lNbe02+qd92un19xfUcfOXe6mzunh2VjLXj4rpdKwkitR8/An2Y8cwXz0f49DOVYXPxEXBvrzW4r/2cUp024NeoaA2gkv2mUJ/+rfhdFazZ+8cPB659X3kiC3o9XIjQn5+Pj/++CMAO3bs4KmnnuqYtxY+EG7ZCJUZkHhBj7Ir8nM70ev1uFwuLBZLj845+eMW/D0huIerUWhVLPh+1XmibSc4H7B0A5f7VMAi7/Ykj4gkSPz08rM4mpuZ96/X8Y/ofuEBWLJkCRkZsoLo/Pnz27jy1jU7eXl1BjaXyMzwQdR75+Lb6EYSFPxgSCOlyUqqV/udoiS5uaf/W5RYk/HTnCBCfxXQMavfkZWFOjwcV0kJdd98i9e997Yd4KkFtQdQ0Oxqpty3gKdv9mLIQQNzxAb81aGogenGEOo8B0g79DaV4QY8IW4y7beT5RA5GaLmcNAccvbI3SuiXkmqroA6QY2vpgkFHnzjHHwclsbduxeSecIX8EV3z9289cl3AHyzIZdVhytoitawcGTbksOb49/k24xvifGJ4ZrktuaNAJat26j95msGpaSy9q41p72dxo0j5pdlOPLyaFy1GrG+nqCHH0If3pfpAC475GyF4n0w+n5Q9bCDYPk9BFWdYJ7hLTBHQ69DXQ4fMWJEG74HyD5DtbXb0enCMJnaZ2cUSuU52QeoNVoShnactegOfYaHYjLrcFhdRPdr36qpUSh42VHLxxVWRjj8WIcHF/KkWlqYy6DwQEYcfptBmmw2+l8JnBGwFO2Fn24GWx1c8VU7XkBPEOil5dJBbQnOTc4mlIISj9Q2IH1x94v46/xZmbuSKmsVn06TF+DKJjv3LUqntN7GM7NTmJAo77KbNmyg7IknEe12oj7/DMOAtpLupSfr2fiV/Ps9vrWUW94a26Wrb9U771D9wYcAhL3+Gj6z2rbpEjlU/vc3wHtKL+p+yUEdoCfksiEkmi8ESerU6wxAodDi8ciZM7XKt8vr/7i/GLdH5sI9u/x4lwGLZcsWqv4jl+ia1q6lz9EjCKr275ulzk5lQRPhvX3RGtQ8EB3CvFA/vJRKTGcv3D7hcMc2+fcaN7E1YwyyQ/qpYAXA6axqDVjOScE6bID87xwwd+5c9u3bR3BwMEOGdK96Xrz1EKq9bur1TaTMmUNBeS3lWfvPE207wfmApRucKgnp1Ke7hMrzTlJfXsb8F9/ocbACkJubS0BAANXV1Wzbtq1NwPLB5pOsOlKOxeFm+aFZ7L5/Fo2iN9Py/cjLq4e8ej5OiWZWkG+bayqVWvomv4i55Ft8fecTH/dIp88f/PhjVL7xJvq0NEKefgql0cjFkeM5mZNDlCeA5qgwes0dSESiP6JCICnxFQ7WVxNdf4AdlavZGVxOhd5CWvklRM9QMLDqd/JqekGVQPCgf1HaN5rvdfejOpqIUm1DcEkobB7eTL6Oz3c8wRh3HhOjS6k96CIxO5sKv4H46tNx2azYm2QCa8GxGhqW5DMKGHXUxqFUGw5RYlqLYFaCOYFnRz7b4euTJImSBx5A5edH8+9bcFdVEvr8abVLXWIiusREfKZPb3+yWgeXfdajz7ENdD7yAgwQ0LWUd2c4dvxBKitXARAf9wi9evVcTOzvQEQXbZoA49evZlihFmX0JAyabHJEL0KVjaS5TAzy7wVKWZX2xrp3wPEIaFvKQrs/lD2P7A3w1ZwOu9TOhsvl4ueff6a4uJhRo0Z16MtzccLF1NhrqGiu4PqU61sfTwtMY0vxFgCuTLyy9fHFe4rYl1+H0yNyw+d7W7NANZ9/jqDXI9XXUzDvKpLOsidQn6Xl093i17RuPeqoKFyFhZQ+/Ej7gOUsWJ1ulAqhQw7auUIT4UXwnf3bPtjN/fZNfZfS0sXo9VEEB8/ucuzstDB+TZfJzPd107GmCgiUn7sLsn9zg4Pv/7UHZ4uj801vjEFnVBOq7WLj4Bcr/zsLRmMcib2fo7pmI8HBs/Hx6d96rFevXlx22WWUlpYyYMCADrMrzuJiSh58EHdlFaH/eg7TmPYt44fWrWLHku8w+vhy2VMvYvCW56fQ0FBmdfM5gzxXHVv0G6aDGmwqC70fmoYkSXz4zY8ozhNtO8X5gKUbtGZYNHKGxe1wUV1SwIjL5hHQTbrd7iinrHQJekM0wUEXMm3aNLZs2UJcXBxXXNFWijvcV4/FcSo4UhAcPAOXKFF+4gihWjVlDhdHLba2AUtjGfx8G6GWCkJnvAaxXesl6Pv1o9eXX7R5LLDOSIBPKp4aO4IygPCUQOrKSlhdUct2SzBx5Q5WDJ2Lf/GXpGuKkYBS38+48fDd1IoH0Cg8uFUCoYOLyXbLOwJPrBeC3YOizkmis5gnnn6HPEnexf7niwEUvyWrsTpUSkpvvwG308HYq+THPK62NeO3CyuwekTuiQri8bj22g5notnVjBQSgDNb7i7RDxzU5XgAp91NQ5UN/zBjt0rBHWLO+3K3hykIUrpXEe0IFksmBkMMVmseJaWL/8cDlu6gnnclBQ89Tkj4UK5RJHFQPERffmbQwSwYsgVJ643gaBERO7MM03sGHGsx5xxxF26nkzUL3qYsO5Mhsy8jbUp7r5Xs7GyOH5d1hlavXs2gQYNQnbU7VyvU3JF2R7tz3xr/FgcrDxLlHUWI8TQ5dnC0H2LL4hnldzpr6T1jBhXPy7YEIc891+56gVFezLonjYq8RhKGBHdYVjkT/rffRsWLL6EKDibqi8+7HPtLegkPLzmM0yPy1pX9O9VS+juh1QYRE3N3j8aOiPNn/1NT8IgSxm7EC/WpKUR//x32jAy8pk7tMLvSVGtvDVYArA1OdMbOie/dISLiaiIiru7wWGpqKqmpnZdu677/HseJbCSbjaJbbm0XuAJsW/wNBi9vqgrzWfri01zz6ts9vje7xcKWlz4i0TMIm8lK/ANTURm0vLBwMTpLKTFDJp0n2naC8wFLNzgVsJzKsDgam0AhkTblgm7PPXLkHzQ35+DxWKir28nAgS8xcODADsdeNzKaSD8DNpeHaSny5KpWCHycGs1XJdXcFB7AnVFnEcT2fQaFu8DjgK9m92jHCrCyqp4VlfVMD/Rh6swYGlfno070xS96LQ0fvMqJ43FIihA+PLqGuNJS1vQaSullFzPxaCq9LJHsDznARl0UByyzGOK7lfgJhXhcShJ2ZPNWweNY4r1pqHCzNyIFX6GJKpM3IU0NlPsYqV+xDN+W+9C6Pcy484E2O9WYtADGXZVIbVkzL3jb8VUpsXpE2fSwCxQ1FTFv5TzcM+sZnavn+eu/QZ+c3OU5NouT71/YSZmQjkvTwMhRI5gyZfK5pY11PjC8/WLZ2T1uLNzI4ODBpAScbnFM7P0cuXlvExoygN69n213nj2nnrql2eCR8L82GU1452qf/w0868pn6CM52DT3UZFlpmZzCJsJYlBSFum6KG4d8g2hTfl4RQ/jmzO7rfpdDtGj5f/3DiVvz45W9ef1n7xP8riJqDVtyaehoaFotVocDgcAii5KGgAHGppZWd3ABD8vRpu9GBravuQyIs6f3x+ZQK3FSWr4aR6K3/z5eE+diqDVojy75bxgBxTvIyrlYqKSOy9/nILDUUVVn+NoF91AZMR1KBRdL74/7i/GbFRT0ejgvsXpf1nAIkmSLLdg8uqyHPRHoFP3PBOk798fff/+nR4PjvZm0IxeFGXUkTwqFL+wzjl+fzeMw4dT+4Xszm0Y3LFibtzAoRz7XbY7GHPVdT2+tiRJpL/3E0meIRCjIfGWsYjACwsXI5ZnYU4cynUzuxYB/L+M8wFLN2gNWLSnMixODGYzWkPnnQdFjUX8fPJnlPV19NPp8XgsuFxdBxOCIDApqX2X0WR/byb7d0LuixoGW1tks/07byE9ExUOF7cczUcEfq6s57t+sUy8byAcWwZL/oUPcDjNj6fir4GLp/D8qjeI05ZzOO8om5X9Wb3pIUL73sGro34lpaYK/8RatD4OlGqJ0HEFhP1DA7sgaW4pu2MOU28yIA5u4tePe6MSlVxz860oYxKwZ2Xhd8014PHAGTsuQRBIHStP1m9bbHxeUk2iUceN4R1LX59CemU6DY4G0AusSXHxelL3TsU1Jc3U28pxmeWSzo4d25k4cUK7HXxH2H6ymk+35ZES5s19k3u3tt52BpfHxTWrrqHGLjsqvzvxXcZHjgfATwrGb1cB1G6CC9NgQNudYdPvxUhuEbHRSeW7BztVNW1oaGDPnj14e3szZMiQLhd3d1UVSl9fBHXHC6nFaWFfxT6S/JIINrb9XvZSlBCpkTMUwYl1lG0OYezUEXD192wsa6ZM5UuhbxrU29tf2Pu04mtQdCwavQGnTTZoUCrbv+9ms5l7772X2tpaQkNDu3xNjW4Pl6afxCZKvF9YyaK0WMb7dfzbCffVt5PgB1AFdkB+LT8Kn18ASLDuKXi8DDRdd2tlZj5OfcN+3O4Gysp+ZPiw37ocP29oFA/8kA7Agqs73tScKyRJYsV/XuHEbllV9pb3P8c74K8l91Y5Xdx2rIB8m4Pn4sPblax7CkEQGD4njuH/CyohpjFjiF+/DtFqRRvXsT/ctDvuZcjsSzH5+aE19Cy4Ej0ejr69nIj6GJwxIjG3DsPhdvP8+1+jbijEL3Eo98zrfiP8fxnnA5Zu4Haf3dYsoTN3vcP9x4Z/UGuvpdHZyMVhidzS5w4iItoTRLuC1JKy7my373GLlDgH4Dt/F9765h6Tw7QKAYNSgaXFxdbXJT9Ps1rLqZ/dL4ETCBBrCbDVc4vxVwDmsJOJDlmXIO3IhwSM6U28OQyDXyYKpQQSBO+6BMOEAbiKdgNfULvzanJto/GN28z1L16LOTQMjd4AN8l158o33iD/yrkoDAZiV65EHdw2g5Rk0vNaYs+k58dHjmdY6DAOVx3mlr5dSAOfgdB4HxKSYjhYehJR4UKpVHa7gz+Fu78/iNmgZmNmJQU1Vt6Z1/X77xJdNDmb0GkjcTrqqKmswBPqos7VwK4dL9G/sYAIjwN+ubNdwKLv44fjhBxUeU/unDP1008/UVlZic1mIyMjg+uvv77DcWVPPU39Etk8MuaXZegS2xJ9PaKH+avmk9sgG8l9PePrNqqnN/S5iP0HvkXjqUariee2D7/E5Ce7614WrOGXynqymu28kNB1lsAnKISb3vmYutISQuJ7d6gyC2AwGDB0sUE4BUmS2jgNeP4qEVh7A208DMSus30ACAqkFhKwQtF9y/IFfUOZnBSMQuAvaxN22qyc2L0dndGEvdnCgVW/MP7am/+Sa5/C4rJa9jRYcEtwy7F8ys9BHbczuJwOtn77BQ2V5Qy/dC6h8R3LBACQvw02viC7lc98Q854dgJJkmhwNOCj9ek2i6oO7dpKQRAE/CN6bovRWFZB3gdb8HeFYOllJfG2qTRZHbz43mdorVX0GjKBGy7s3gLh/zrOByzdwN2ysJ8KWAQUSN0YsLhEF+qWFLDRZwiRkdchOZ00bdmCKjAQfVrXSqM7c2q487sD1DY7ef+qgczs1/7Hs3rBEQqOyrv1yTckkxgu4LBa2bn0ezwuJ8MvmYvKy8A7B96huKmYW/vdSkpACr5qFT84TazJrWJEpZugNYepeXIoCyuLyQuKJ8TqxlC9EpfxVlwKAY8goGwJni5plCeDJ2++F1G1h14TN6KUFEgKqMqYSGLTbPABpU8kv7iVnLQEopEqacgeDT8spTwvF++brudnQyYOl41xn36GOiwMV3ExFS+8QMS7HYvZnQlJkji5bxeNlRUkj53Yql/jpfHik6ntVTRFScQlutB2oHOhVCqYdftQpjrSaGxsJCAgoMfloEiznkPFctZsaEz3Oh4GtYExae+zqEbmdFRss/Djko95u/eXNCmtEBbA16Xl9O81sd25ppFh6Pr4IagElN6dL35nCrF1ZTHQsGwZmuhonPn5VL7+b6I++bjNcbvHTn5jPt4abxqdjews3dkmYAnyimLamC24XA1otW2DzCi9lt+H9qC7oSYHivdiiJuEoU/XpbuewketYnFaHCuq6pno582ETjKTHreIQiEgKAQKCj8mL+9dVCpvhgz+iR9z1/H2gbfRq/R8P/N7wkxh0GskXPBvKNoju2Hrum9nTurzMsUl36JRmwkLm9uj+9d0YWB4Cq6KSsoe+yfu6hqCn3yiyxZhrcFIv0nTObzhN/Re3gy7+IpOx0qSxLqaRlySxPQAH5Rd/A5crnoqKldhNMQx3DcVBQIgEdWFN0/90p+o/eor9AP6E/Lkkx3yWE7h2Kb1pK9ZiSSJ5B7Yy4OLV3Q6llWPgNsGhTsh93d4OLvje/a4uGntTRysPIiX2ov1l6/HoO4+CP4zcDkdlGQco2DLPoLyg/FW+uEeraHP7DFU1Dby7w8/Q+tspP+EC7lkfPd8u/M4H7B0i1MLwKldj0KhxGrpurzzwaQPWHJiCYl+icyJk3OcZU89TcMvsiGc33XXEvzYY52e/+3u075Ed353gJn92mtZVBY0Yg4xUFdu5fi2UhKHhbDrp0UcXv8bLruN9DUrifzXtXyT8Q2iJLKxaGOrPkWCWkNQnmx8dwg3D7yyHo87GIXnceaVLGGYx8Iw3qTvjZns6hOOtHc8+baRCJ4A7rmnDxq1DwUR16Bw7UbSyWn/JqcOKw4MyAvqrqYiAhpP4AQGmGOo/UKu9zZu3cnmaybjxo0nVcXEw7KSpf+99yJ6xG6Jryf37uTXN14CYPNXn3Q5mZVZyrhxzY0UW4q5KP4inh/1fIfjtFotgR2VArrAVzcOY+3xcvqEeNM3ontlUoB9jU6CpHoq3UG8aBQZqXbQpLCiElW4FW4OjX+a/iM6Jj2q/LrXELnkkkvYu3cvPj4+DBjQecbH/5ZbqF64EIWXF6EvtH9PjGojTw5/kqUnljI0dCi3pbUnASsU2nbBSo/RUAwLRoNLLgXxSF6bttSOcLLuJEuzl5Lsn9zOxfdMDPM1Mcy38wzo8W2l/L4oC9EtcfGDA8krfQ+tNhRb7UmyHr0Ed4mFvpOC2aMv5fZfb+GXK5bLTshDb5H/9RAajR/BQTfy3XffUVr6IuPHj2fcuD+/g65b9D3W/QeQHA4Kr72uQ0LomZhy611MvPF2lN2UOT8squJfOaUABGlUHB7VOSn10OFbaGhIB0RiYu5jz4jbqXG5STZ2/B2V3G7Knn0WVWAA9YsWI7ndhL3wQqfX9wkKRuqpYFtIXzjcYnnQxeeT05DDwcqDADS5mthXsY+xEecmqnguaKqpZvGzj2K2BjI4YBqij0TQDWkYI/3Zn1XA4sWLUYtOJsy6nEmDuy9fn4eMcwpYPvzwQz788EPy8/MBSElJ4emnn2bGDJndn5OTw0MPPcS2bdtwOBxMnz6dd999l+DgzhVgn332WZ47i5GfmJhIZmZmJ2f8d+HxiIjSabKfUqmisboSp93WqUNzrG9sOynunPIGjk2dhaG2lpith5CuX4PZbyBabfuFclZaGGuOyYJJD09rnw5119qZMCyEw5l1BA0PYXyLsqrOaMLdQk4ECDWGttrES6h5MruYPKuTe/sEEL5ZhcduJU/I4EptGfGJB7GKShxVLtw2+WtRvvsWcj12KkLHopQ0bOgNdV7P8Njy53hEPIr/0gDcsyajaEqhuKGO3VU/0r+oCeHdu4n5PAQh2EZjRTlFFdmcyhHlxM5mYNEYVKIa/C4iYXsa5RUS335wHIe1gAlX9yF5dOfdQPZmC4Kg6NGEtrFoIyUWufVy2cllnQYsp+DxeNi8eTOVlZWMGDGC6OjoTsf6GNRcPvjcnJJvqFuP+stMtBYbPqnN5OjCySqbjdm8k9jK4TTtTIYR3V+nM3h5eTFxYvsMzdkIvOduAu66s0sS5uW9L+fy3u3lzpdX1vN9WQ3j/Ly4NSKwTUbKZish68QzSKKL3r2f6lyav6nidLACclt4NwHLHRvuwOlx8k3GN+Q15HHPwHu6fpGd4PCmYky+Whqr7fz8xgEm3nsBpWU/YPpdgXpjI0OdLoYeKeSKx1TcfvIS9j+9g+pePkSl+rc6EDtbNgQqtZp+Uy5A1QkP6Pjx45SUyN+/TZs2/SUBi2HAAGqcHwGg7tUzSYXughWAQrsTH5WSBrenW4K7w1GFXh+JzVZAU9MRYrVqQrRdkIqVSvTJydgOyRpFPhd0zdOIGTCYuc+9RmNVBfFDu/lBzHkP+l4G3mEQ3LlXT5xvHKPCRrG9dDtxPnEMC23fHn+0ycqNR/MpcTh5P6kXFwX3XPvoTFQX5rPizVdJUY8gMjARw6AgfOfEo9Ao+WLlFrL3bAaljivmX0v/hJ7LYpzHOQYsERERvPLKKyQkJCBJEl9++SVz5szh4MGDREdHM3XqVNLS0ti4cSMATz31FLNmzWLXrl1dcgNSUlJYv3796ZvqwQ/svwVREpE4PSkrlWrcbieH1//G4Asv7tE1snaXc8T7AmIEB36RFeyO7sOh5wS+C/mFiOBY3rt6ZBvTwmkpIWy6ZyhqjZpgc9vdu2h1UfHOQdR2N4OA4JmpqFr0IYbMvhSj2Q+Py0nKuMmoNBo+n/Y5JZYSarRDeOJkJRJwvLSKt1OeI7IxnYQDA/HpA0HBuahULrgWdn/WG6VHYHTTQBxB9dwjPIRvUw5P1t7JQOMkht55EydP3Iso1qL9YAMKczpDaysBudK/Z91eSvX+oIe+0fHMvPUupNxcnAUFlNZGodpb1epIq/L3J+PXY5x6izd9k9llwJIydhLW+nrqK8q7ff/HRYzj86OfU2GtYEqvKd1+ThkZGWzdulX+zLKy2hny/Vn0/SEPdX4GOosb8mH63P2MscaytfA1kP67ipZ/pGPE4vZwx/F8TEolG2tlw8DbIk9nWQoKPqShYT9udyO7dk9j0sScji8UPhAmPS2n8Ade20ZS/UxUOFxUt+zclYISl9ji69VFx02j3YVCEDB10mqbNCqU7UvkssGFd6UR1WcCMboJ2CI3Ue5c1jpuWe67CDYFvzU6UTTVkHOwCoVCoM+IUH7/6lOOb92E2+lgx4/fcddni9s8h7vegaBWEBMTg06nw263ExDQMWnc4rTwwaEPsLvt3NbvNvzUvu06pc6EaexY4lavwtPYiK5vexfsP4oHo4OxuD24JIknu5EPSE19m8LCTwgJnkN09J3dXlsQBKK+/ALrvv1oExLacdU6QnifZMJ7UipUqiGh+9+2WqFmwZQFODyODsvDAF+V1lDncuOR4PbjBeccsNiaGjmwejmZqzYwMvgivFR+mC+KxzgkhGa7g1ff/RZFTS6iTwSP3XIV5g6EQM+ja5xTZHC2IM6LL77Ihx9+yK5duygpKSE/P5+DBw+2utB++eWXmM1mNm7cyOTJkzu/CZWKkJBuzdf/R+DxtA1YBEkgJC6B7T98S+zAIfiFRXRxtoyCondIvFie1JIO1DPM4ib24nV4rTGyx25j6Isb2kiYb9++nXXr1gEwc+bMNoqJos2NZD+9A/I0OFAHGsjKymL58uWIosjVV1+NSqOhuKiQk2sOEBHfG3M/ExJyUBHpPMQ+PyPxB5WYd1dRkRqKUikvBm4Jvp9SzKWbwlAKKrzrjmFU5yNKELd+FwWuQxQA0x65FR6ux9c9kqBJ06h49hma1q5FPWUKBbWV6HQq7HYJ37Qh6Ewm6NcPVWJvBjfaMPl5IQgC/SfLGYreQ0PIPdAis39xx4sXgDW9EuvhalJTxmG8uOOsXX19PXv27MHX15fBgwfz26W/YXfbMWm6bwX28em8tNNYXYno9uAb0jUZryuUmmNItMgeP4YQuZTWJ20MqtAUPC6RpJF//Nr/DWgVCoI0akod8nclydg2w2jySqakVPae8jJ1vNstqrXy+postKrJ/PPSu/A3dbx47G9o5pL0kzhEiUidhiWTF7Ds5DKS/ZOZGj21w3NWHSnj3kUHcXkknrowmZtGt28/TpsYSdKIUJRqBUqVAgp2ovvyCrSShHqsFvf0jzBNmIL1QC0ehYB2ZT52i/x6vVrKch6Pu5Ug7LBa21y/aXsJDctlsrLPzFjuv/9+rFYrZnPHi9/HRz7mxxM/YnPZqP5+M70qDBh8fLnp7YUyQb0DaLrI/LVB1Qk4vFhW0+09rcuhgRo17yX3zAzRxzuNvqnv9uweWqDQ6TCNHnVO5/wd6CxYAZge4MOisloArg3z7/I65TnZWOpqcdmsNNXWUHz8CEXHjxKmi2dK2LWozQb85yejCTNxPK+Uz7/5Hp3bQlDqCG6/dEqPyf3n0RZ/OJXh8XhYsmQJzc3NjBgxgpycHARBQKs9/YXQ6XQoFAq2bdvWZcCSnZ1NWFgYOp2OESNG8PLLL3fps+JwOFp1GUA2kfu7IIptAxYkibhhwzlctpmfXnmWSx//F+aQznckosOBWvczihoBt7/E0SQvRu6tQ2m30qCRA7t/zmhLUszIyMDHx4eGhgZWrlzZJmBRmnVoor1xFjWhS/BFFy9PhNu3b0epVGKxWFi4cCHPPPMM6a9dS2FQJQvcBvocS+brsIfZuXsJS4ZOIGV9Ij/X3ol/r4MM39iA3ToYpUqJd9lIJnl+IUAzme2VP7MxIIBS9bUggEsoQom80LpP9CHgkB8eoGzrbiJeeRleeZmmpuOM2jMXQWimrm4Ao0fLXJ2K3JMsef4JHNZmksZM4IK7Hmx9Tb1S/LnxjTE4LBb2/LKItQudjLhsHl5+p3elnkYntYuzQAL78RoUehX65PaTytKlS6mpqcFqtXLixAmuvvrqHgUrAJGRkdx8881UVlaS1NIWLTo85C3exonyBTRqczCpJzPzHy/16HpnY9QLj/FZQCx2t4Obx3ogpg+auIn8NZTTjtFQWc7ahe/hcTmZeMPtPfK86gxqhcCqQb3ZUNPIEB8jvc/iLESEX4WXqQ+i6MLXt2My6CurM9mTX0tVk4Ml+4s79Rra1dCMu4XsXWR3Eu2TzH2D7uvy/pYdLMFHr6ba4uT5Fcc7DFiAtq7NtbmAhCCAKcwBl8hZO+9J8nfmstQA8o9UE97bTECE/Nj4a27GZPZHqVYxeGbbLJ/9WA1KHw2eBicNK3OJGBPeZk48G2atWQ6obSp6VcgBirWhnmO/b2LA9I7fmx5BFOHLWWCvh612mPEaDPt7BQlFUULRTXv/mbC7PFQ2Ogj0FlhweAF19jpu6XsLkd6nS62SJJ2bLtKfwER/bw6NSsEtSQRqOs/i2ZstLHrmETyuloyfTk9YfB+mD74VY5kBfUoA5ksTUOhULFq3i8Pb16EQ1Ey9ZB5j0v6YGvZ5yDjngOXIkSOMGDECu92OyWTi559/Jjk5mcDAQIxGI48++igvvfQSkiTxz3/+E4/HQ1lZWafXGzZsGF988QWJiYmUlZXx3HPPMWbMGI4ePYqXV8dOry+//HI73svfBVGUkM74wUiihEqj4ZLHnmPpy8+w6OlHuPGthZ3qslj37sO4zkPTLHnyNR/V8pjrJhJ3HaR/wUEGFBVz6Ssb25wzevRoVqxYgdFo5Jpr2rZDO4ubcObLAZo9sw5nUROaSC+SkpJYs2YNABdccAHu3G1M9z/IU5GRBHqa2a4/iK7wba484mZDipGIWtlroyZgAIeNGxlaORZFiyfMQMswRvm8zLJCM7GGvgjNSdiUVTjifIiqLyV66ChU4f2RjhQhiPLrcrstKJV6KitXo1S6EEUwmw+2TtYn9+7E7XICkLF1U5uABWTZ8+0rf+TY7+tx2mwc2bCmDaFW0CgQdCqkFjVMpU/7RUCSJJrcSlxuuZ30j5QWIyIiiIg4nTVrWJWLvXYPmsF7kMOnxcAfC1gCvfU8+vT13Y6zu+28d/A9Kq2V3NrvVuLNPdPY6Qh7f/2JipxsHNZmvn70nq47LoBGZyPvHHgHq8vKnQPuJNzUtjU5RKtm/tm7z8Yy2aAzchg+QV1riISb9VQdkTcbA6J8Ox13RYiZDTWN5LXoe/QEVw/vxa5cuXOux1omfS+DskNQfQLGPNjusE+gnrSJbblKOpOJ0XM7linwGhdB7dJsFEY1ATd0zqk4hWuSryHAEIDNaaP64FasDbmAiv1r1QzowEGi55BAdIFKC247uGx/5mJdwuURueWrfWzOqmJojB/f3jwMdRfkebtH5P7Deaz79SQh9jKsgUcQAjfjFJ38fPJnjlx3BFF0c/ToXVRVr8NsHkn/tM86FN/79VAp3+4qYFisP/dPTug0uCnPyebwht8IiU2g76RpnY4zq7ufM07s2obH7ea619/DJygEwQ6132XiLLHgMysG08gwHC43ry9YhKc8E48hmAduuZpgc8fr2Xn0HOc8oycmJpKenk5DQwM//vgj1113Hb///jvJycksWbKEO+64g3feeQeFQsG8efMYOHBgl+mvU4RdgH79+jFs2DB69erFDz/8wE033dThOY899hgPPPBA69+NjY1ERp4bAbKnaJdhESVQCPgEBTPz7of45rH7qMg9SVRqvw7P16UkY346AtOGUpZGj2fXlKuYECHwzrJ3URqNhP3wTbtzYmMDmD3HgVKhJSDAiyNNVu7JKMQmiiyIiWCvTmSl3cZwVDwcIO9yR4wYQXJyMqVuEZPRiDVzN97AALuDvXp5zPT6UXgPCkRJPbUmDX4WkTpdBZ+mrmR6fSMSEmnqfVyiDGBX84XMumQy679uQhRFvPEnMiWZ8VeNYdq+LPJsdSgmm1hV1MCPge+hXnWYkUY3aX3fR6XywWVtpFfsja2vKWnMBI5v3UxjVQWj53WsDGnw9sFp63hiVehUBN/VH/uJOrTxvqgD2weId313kJV5gUAg788I5IKxQ3C7XCgUChRKJaLTQ9PmIiS7B6/xkSi9e2BwKIJC6F5H46/EkhNL+DbzW9yim9X5q1u7u/4IQhMSObRO9ikKie9+d/fpkU9ZnrMcq9vK8tzl3T+3xw2fTIZGuduL+UshofNs6iPTEkmL8EWrUjApSeYyOJ01ZJ98CY/HRnzcwxgMMQRq1Pw04NwCtbG9A0l/Wi4X9Xinr9LCBa+d0/N0hvqKctK3/Yyy4ABRQjiOHD2aiDSamprYtWsXer2e4cOHtwmklQolF8ZeCMAylZ1S70mIChPasrw/dzMKJVz9E6R/CxFDZZXhvwlHSxrYnCWXdPfk1XKoqJ7B0Z2TqFdXN/DLiUqedn3F7doV/CwaeVpsGwRbLBlUVctl8bq6HdTX78HPr21Jye7y8OAP6fjoNezOq0UUJR7qoElBkiR+fvU5FAoFRzasob6ynLFXXf+HXqvTZmXnku9IGDKCgKhobFm11C3OQlArCbytH9oob06WVPHRF9+idzZg7j2Yp+ddcL4E9BfhnAMWjUZDfLw8kQwaNIi9e/fy9ttv89FHHzF16lRycnKorq5GpVLh6+tLSEgIsbE9T0P7+vrSu3dvTp482ekYrVbbZZr1r4Qkia2qK5IoC6QJLZNhYHQMGr2esuzMTgMWldlM3KpVuErLeDK6F4JCgeQSsacloTTrUIeZkDwe7JmZaMLDUfr6ciL7RWpqfsftbiC/4EN+DN5AhdNFrcvD9PRs9A4LOpWCdLeD8INFXJOiBe8wljY5eTxb7kq4NTSGQa5buKYsnVBdGKIrHIvTw4/q/YzNkfAYYZuvBnPtBsYeTuKb6Vfh1Oh42e8+Gn4sp49L5OgXm3BYMhBUcah0I0hMieNwk5U8m5wpEQV4yvcjKqszsUoajtqUXJv+LzaW9mdawTB0O/rgedTF4rpGMpsFrnn1PeL12k4Jn4NnXYxXQCBup4Ok0RPaHW/auILq995HHRJC5MKPUJ7BObG7PKw8UsY4Qz5GZwPp2wwovllCnqUAm2hl2D9u5mBtNn2OhZBkicayo7RTxdgz4XNBDMLWWegkb8ReDYRHXtntOX8WgYZA3D0RJ+sALlc9ouhq7T5LGTeJwF4xuJ1OQhO6EOBqQZAhCKvb2u24Vngc0FyJ3RDMRwFTaCi1cUcvV6cpdZVS0U5XqKDgI6qq1uPxWKiqWtM5WbcHOJeSxF+NX994kcaSYvr5Tkbp1Y+G1Y1UHE1nt88xioqLsNvtHDhwgHvu6bjDaWhCI0dX7kTlaiY62A78SZG3sP7yvz+IE3vKyU2vJn5QEPGDOifK9gnxJjnUm+NljejUClLCum7z72PUoQ7QMUO9hxxPKBdZyjCqDNRNf7G1Zd1oTMBkSsJikdu2vb3bvw6NUkGkn4Hcqmagaz0ktU5Hc50svmj08e3y/jqD6PHw2wdvYW9uZtzVN9GwJp+mTUXoEs2Yr0hEaVTzy5aD7Nq4CiUCoy+4lKnDOm8PP49zx59uxxFFsQ2fBGhlxG/cuJHKykpmz+7a+fNMWCwWcnJy2pVC/qfgOTPDcspt9IxJUaFS43Y6OjjzNBQ6HdrY0/X02kWZ2I7JqWvvyVE0/vIGTS0k26jPPkXpZ8DjsWFsdhNep+Vyr0Msd4Qzv2I1g40G3vVOo7RBfs6+O+6FtVtA78fm6esI0qiodLpZWFbNjuvv4rvvvkHtcBPh8cOEnmpdNRk+GXg5DIzeKaI0BeGxNDJmz3o2jL6Q2pfupbHAgzD0Bo7Vy063uKuwedfz/fKtXHvjTUzy82ZDbSPP1av4oNGOIKlAcJNFCr+eHEaz4wAPR7/Jssy3WHmgmAecsm7NwuIqyif07/x9UihJGtV562fVv99AGRCA7dAhCm+8iZilP7Ye06mVvJd4hOSCb/hKdRkul5Pd4Uautd/BhuIv2P3BJ3xxQQFEwnNFdzDU0rMOC4Vehe/UGHzp3j/G7hG543gBW+qauDbMn6fjwv5Q/X169HRMahOV1kqmR/e8LlBTu41Dh25BkpyEhV5BUtLLAOfEW7mqz1WEGEKwuq3tnluSJBb8nsu2k1VcMTiSOf3DQWOEyz5nQXYOb3qNwSkq+GD7sS4/57Oh1/fC45FLlCrVfydtLooShUdr0OiVhCX8sfbVdhAEUCrwVvthdTZg0PigKmykQKgDb7ktTqNpm9UTRZHCwkK8vb0JvfcOvPr/jqBSYRw9+q+5pz+Ixmob6z6TTSdzDlRi8B7Q6fuk1yhZfvdoqpocBHtru/3OJ5n0bBmZjFXzMInbXwRVCH1HvUNZngMpxAG+BpRKHUOH/ILdXo5OF4ogtN/kKBQCP90xki3Z1fQL9yE6oGOJfEEQuPzJF8nYtpmQ2Hii+5+7SJvD2syaD9/m5L5dzLnrcZy/VuDIbcB7Wi+8xkXiFkVe/2wptoIjePQB3HPjfCKC/qLv1Xm04pwClscee4wZM2YQFRVFU1MT3333HZs3b27lTnz++eckJSURGBjIzp07uffee7n//vtJPEP6e9KkSVx88cXcddddADz00EPMmjWLXr16UVpayjPPPINSqWTevHl/4cv845BE6bQte0sr7qkMS01xEfamRqL69u/yGsePH6empob+/fvj5eWFq8qKKkCPu9qG9VAVzdu3o4mNxZmbS/VHCzn88itk2EZy+/6HCbGUEJl7LVkJM9CfXINCEhksRbBeM5IIXw07FId4IiKUic027vJX8oBdiVGp4JPUGGJNeu4YN4Oqr37H6JcMsT68avoEh9NJhb6CeL8IQlraU3MjE+ibIXewOCzl6PcuxKtvBE0N1fL7YJbLSgf37mFURQWX+gcTla6mT68LOKjPxOkbht1rPMuDFDz+1XqOjAeFRoUp1hcyuxDac1phxzvgtMDIe8HUuYCbcexYGpcvByDgnrupr7TiZdahVMuT2YVBVRQWSgiiiNQywSkQMGuCWd43G41Cg1N04hpoIGzSyC4/sz+C7fUWVlfLr/XDoir+ERXUJXmvK4wOP/cFq7pqPQqFBo/HSWnZD60BS2eQPBL27DqUJjWaCDlQEASBSb0mtY6pq6vDYrEQHh7OkZJGXv1N1kfafrKG1HAf4gJNkHQhGmMlntxSuhGBptpWzZr8NST7JzMgSBa3Cw+/Cr0+Co9oJcB/UtcX+IuwY+lJDm0oAiBuYCDTb+08gG1sbGT58uWt2lJhYR2T7Oc8+DiH1/+GsklEKPWiyCJy2OrBiwTSLtCj1+sZNKjtYvnrr7+Snp4OyOXxYRPaZxb/FrjskLFcdhnvwOVdrVOi0ipxO2Q+mM7YdflUqRAI8WlLwrZYLNTU1BAREdGqvOxyOqjKzyU0Kppc1SwWFMTL+8CygySJS3lv989smPlPRpu9eDIuFL2+a/6Sr0HD7LSu27BBFqMbfsm5Z0c9bhcZWzezc+n32C0W5lzzKPrNAi7JSsDNfdHF+VJcWcc7n36D3l6Dvlc/nrx2DmrVf1em4P8Kzilgqays5Nprr6WsrAwfHx/69evHmjVrmDJF7oPPysriscceo7a2lujoaJ544gnuv//+Ntc4VTI6heLiYubNm0dNTQ2BgYGMHj2aXbt2nbPy6N+FMzkskngqwyL/p6lartv6BnfejpqVlcUPP/wAwIYNG3j22WcxX5JA4/pCtLE++FwYizb8Eao/+gjD8OEceOYF7s0qB8JZMOg7ynfMAJcVVU4GoktAoYJVwhQaBT0VjVqO+w6nUJ3BF75qqn54mptmPEu4l4bkXa9hr3RR+fIyRNHNL6kKDNc9jFdBPNU1uwAoj4omoY+L+vB6Lv3pG4QW85W8oH5Mfup6rh6cRsa+b7EKAidydMTFxbNt2za8vb05nHGEw1pIKgeTOZaVkcNBUBAmFRGOxAeTVxAdFkU08F3tceqrchg0qANns+1vwfa3ZWLgjne7dJwOe/UV/G++CVVQEKu/KaDwe/l1zH9uOL7BBlwj76Xi6CEiKrxRKkNJJohstYN7rroCpasfuubtvDXwQmbGnlv3hcdjo6z8Z1QqL4KDZna42wPo56UnWKOiokV4y6eTSavR7WFzbRN9TXpiDH+8tCmKEse2lGCps9N3fARh4XOpqfkdu2gjOenf3Z5fv+wkzXtlgULTqDB8Z7VtKS8sLOSLL75AFEU0Gg033Hk/erUSm0texMyG04vYrRGBaAWRRreHGyM6bjmXJImb1txEQWMBHsnDE8OeYG6fubIvi3/78pzH46CmdjN6XRReXt2rgRYcTqempIg+o8Zi8O66LFFX3ozJrMVS5yCnpaW+M+zcuZOCggKcTicLFy7sVJ/HJyiEhDnTeXbns9hC7VxmvYMkzAyc1guTuePPuaioCD8/P2pra9myZQvDhrUXNDsFl+giqzaLXt698NL8yUzU8nvklmeAtKvg4g/bHNabNFz+6GCKMmqJSvHDHHJu7sm1tbUsWLAAp1MuHz/99NNIoodvH7ufmuJCAML8LkYlROKSVNA8gHGhzzNBOoaU4cfb4fNJOtHENI0O4/BQlKYe8M3+JBzWZvIPHcDtdGJtqKci9yQFRw9hb2okbtBwRiZfgnNbDapeevzn9UHprWHt7qNsXP0rSiQGTprDnLE983Q7jz+GcwpYPv300y6Pv/LKK7zyyitdjjmlknsKixYtOpdb+K9DEj2nMyxnlYROyfZ3JcJ16gd7JrTRPgTefHpHZ557Jea5V/J95vc8f/Df4HsNtCyKroRbacw3UHD0CKbQVAI9RTSp9VgxoFV4SFIpMBtd7GxWkeMZzp7dVQjeKmoL0piWs4CEC0v4LtDIx36+iAfeBMDqeyeTjhjpVxxGYOA2JjX+Tomvgb01EYDAUwMv4OIJE8jIfJx66QeQJAYNGkv//jdTUFBAXl5bQmBkXSVv1t2FFSPR5lwc12i5/EQdt1iVPK8pZOKSmYAEm+9uH5CodOBx9fDTEHD6R4FWReGxWnRGNfZmF0c2FzPmyt58YdHz3ODXmf9bPT5OiWYHYFAjKVW4lKm4dKnMjO3fw+c6jawTz1JevgxJclNc9CWDB//Y4bhAjZodw5MotDnpbdR16MciSRIXHcjmeLPcHv5V3ximBvRM2v9sZO4sY8viEyDBgTWF3LlgIiNHbgLAVdFM3c/ZqIMMGEeEtWYFz4Srohmlnw5PrR3L7vJ2AUtJSUmrCafT6STUR8/qe8dwoLCOsb0D8Ttj1723fBcLt9yH1W3Ff/DDXJtybYf3XGuvJcQYQomlpNVcsTMcPXYP1dWyoGR83CP06tV5W27BkXR+fPFJADZ98VG33VAjL41n5885hMb7MuaKhC7HhoWFsXPnTgD8/bvW5/j6+NccrDiI1W3lADd3SVoWRQdTpgxh8+Z0+vTpw5w5nVsVS5LErWtvZV+FnAVdNHMRKQEpeCzNuMtK0cTFtc5Ddrud1atX09jYyKRJk9p0vbWirgB8o6C+ELJWdficfmFG/MLaBipupxOlWt1t2ae8vLzN3CeKItb6ejlYEQSQJDQ5K3HG344AjPZ9gxqlnqf8jeyQ1jL3mIvhpZdTiYtNv/9Ck9nN5MmT6devPVdQEkXsGRmow8JQdaJ30x08bjc/vfIcpVlyGUyjN+AXHkHa5BkkDhqFsN2GfVsNXuMj8Z7SC0mQePOb5dRn78ej8eW26+cTH/6/Y5P9/2f875GU/V8KUZI4JcMqtWQgTk3+Xi0OtY1VlZjMHRO+UlJSsFgsVFdXM3z48A7HSJLEpk2beKvgLUI0JkI136DVhGAsjCA7dwImRILCRlLv/pryX6qY7L2Rb0bPZrcuCr8MPbOTS7nQ7cWHPgMpr7GizLKzQ9IzyvQ4zrrPUSg3ojKDU5CF71LzUsmtbaRBOModNctR+oiMDcoHnYZnXddx17RkSktLqa3NQ6MOxukqp6ZWVoCdP38+BXl56LKyyCxvpNzuJDz3AOqdNdgvqADgK/UT4IaPi6t53vtE12/wyLtlh1Vns2ws19nn4BH5+Y2DlOfKAU/q+HAyt5cREGli2ByZo6FSCIgKgZWjvRlzzMaISB+GXtaH+tIq8m1O7ur1x7xvXK561GpfnM5qmizHuhxrVCpJMnVs2QCyMF+OzUG4Vk2Jw8XvtU1/OGDpatGo+SYDyeGheXc5zqIm/Oa2NyT0nRVHw5p8NFFemGe3BCuiB3a+B3X5pPW/ibyEBOrq6lqzqNEBxg65AityV6BSyNPJ6/te7zBgEQSBtya8xaLMRcxNnMt1KR13i51Cc3M2BkMMVmse5RXLuwxYbE3npsXkH2biwju7NiE9hb59+xIQEIDD4aBXr67F1VIDUvnq+FcAxPq05w55ml3ULzuJzV5CbvwTuDzVDBzUl6FDllHmcLKpqp6RviZ8z2qvdXgc7K/YT4A+gGpbNUuzl9LbaSbv0svw1NUhqNUkph9EUCrZt28fR44cQRRFPvnkk44zQhe+CZtegvgpMKVnEhHbFn3F7mVLQJK48e2FmEPCaNxQSPPuMjTR3vhd2QdBKX8nExIS6Nu3L8XFxYwePRqVSoV3QCDDLr6C41s2Ed03jdhf1/KDmElGQBBrPNOYIbrZYZD9jNSiCwSJHEU5JYpaaJTdyDsKWEoffoTGlSsBiPjwA7zOsazmcjpY9c6/KT+ZxeVPvURY7z6oWrhGzqImar7NQHR48L8+BX0fPyrqmnjz42/QWytQh/XhyRsvQ9ODdujz+PM4/y53A0kUkU7VgE6VhE4tFC3/LcvOJKx3xw61CoWCESNGkGt1YO+kg+FUOjjcLxzBP4dZe2NorkjCN2Y7SikESekCUY32pIZmb198GuuZsmMzv80ej960hqesc3EEjwQvN7qttSC4WGU6QZQ9nMuVMxjw4y7unQplcRbic//BEqGZJk8+Q2vXsZ8Q9teE8GDSVlbpx5KrieGKLdMRtikRXf8mRgzFpqvDNjoe0eFBpVVhXLKEhmUb6T3hKRIFBZImlqZV25A2Wjkx9SoKBiYwOlLHewPjQJGIK3837rJjKCc9SbvErlINel/Y+wmUpcPs90DTvmW5qdbRGqwABISbuO3d8W3GXBvmj0qAaqeb6y4IwK9lEnmiG6nx7pDY+xny8t9DpfIiJvqPedicgloh8E5SFJ8XV3NxsJnHY7tXt3VYrez+eTFul5NhF12B0VfeRfYZHoLoEbHUOUgd27bWL2iUeFqI2YoO0ulu0U29v43Am1LbBj6Hf4B1zwAShn2fcVUXJbozMSduDhsLZT2hJ4Y90em4QcGDGBTcM9JjUp+XyMt7F1/fofROeKrLsb2Hj6K+/Bpqigt7bJlxLggN7ZkK8YyYGcT6xGJ1W+kf2L/d8eadpdgyaqkP3oXLI5fGm5qOUOV0MX5PFg0tGkJHR6USoDk9PetUOu4fdD/fZnzLpKhJPDb0MWxr1+Np6XyRXK7WDHBgYGBr9rdTBKfA3G87PGS1WikpKSEiIgK9/nTwvX/lL/iFhlNbWsy6j97lskeep3FdAYJWie1wNY3+BfhMiwZArVZz6aWXyvcmSa0CcKPnXsvouXIwK970D27eeowHtlRw2O3FlOhXGRnyITvKdrAvJAvjgEhiyrXsOX4CD6DrJJPdvG0bmrg4nDk5VL/3/jkFLCVZGWz49APqykqZ/eDjrd2ekiTRvKuM+hW5qMNMBN7WB5VZx5b0E6z85SeUkos+o6Yzd0rHm9Dz+HtwPmDpBpIktS8JKQUKjx7m1zdeJDAqmoRhXUtOf1JcxZMt7cZ3RgXx1FkLqJeXF97e3vSr7YeuIZXmCllwqj5vDKvMO5ntY6U28CSqgmO4hjqpH+fBUtOEUfc9hYKAd82H1CtMuLSpiEYVRv9PUBlP8iVgXOFhPPDqhHcQBA23Z9jx00pU0HZCe9zxLxZJ8Ywtz+IV+xVkRg/iBU8wTUh42c0o11VSur4GdaIPzvwClEEyc/+o/iQvRCyk4UEX98U8xsu/BeI+UEX5gSq8BsZjs7v4fHUDtiZv2PoOd3w8rD2/YOVDYAyEo0uhsRRu/K3de+gdoKPP8BAyd5UTHONN4vD2Vg5KQeCasLaeLbW1tWzYsAGVSsXUqVMxGttnByRJ4pf0UkrqbVw5JJKAs+Tidbowkvr8MbG4jjAnyMycc+gg2PXTIg6tXYXLYefg6uWt5Q5BIZAypmNSYsC1yTQfqEAdaECf2vY9sTgtzF81n9yGXHy1vmy8fCNqpUwOFlVGhDO+8l3B6XSyatUqampqGD9+PFvmbgGJ1mv9WZjNwzGbe7YgKBTKP0Sq/DuQ6Nd5+7g6xAhuEVPVAOqbNuDwKiQi4lpKHa7WYAWg3OFsE7AA3JB6Azekns5CKseOxThmDLb9+/G74QZoIbYmJiZyyy230NTUREJC1+Wus2G32/nggw+wWOSurQcffLBVwLPf5OkcWCU7zk+88XYErRJNpBfOIpm4b+jfviRiP1FH7aJMRKsb/xtS0CeezkQrNBqmTBpA+gSZJSi3pH9Es6sZo1r+nWp3ljPz5V+w63T41tfjuu021GeZ6QY98jBV77+PYcgQIj54v8vX53a5qCstpuxkFhnbNlN8/CjBsQnMfe5VgmNluQ7R4abup5PYDlVhGhmGzwUxSAp4/4c1lB/bhaj24rr515Ic8+c2Qudx7jgfsHQDSRJbZ+9TpNvGqkp+/ug5whKTmP3A452q3J7C5tqmVjLmZ0e/Ijc7ixkxM7gi8QpAbnUcN2c+d326gWa3iWtVDnRONy7Bwup+MfzjxD1o8104+ghsHe0PTj0h/lXcUxbH2kozud65JBVUcHXJIgrG+rG8PBdvJCokge3JAuOPSIw6tJ9fx03hQNQyLL4DyAwbgiZbhZ+jlquTv2bm4a30rX6LWl1/vvQJohIzs5UWHs/LZWj1AXxC+0LEEFxZDSwxGbkwTMUhi4OfgzbibHFOfivv37jF0xwmh1vEVV3VJl3fUFGOWqvl+JaNaA1GEkeMQYgcBidWywM6kQ93ZGQQs+wJop1Owu/9Nyp1e0KrJMqf1ZkZg3Xr1lFUVITFYuHQoUMdpsd/PVTKfYvTAXh9TVancvF/J6wHDuIqKsRr8mQUZwVVWoMRdwdcqM7gcrn4bctaKisrGRM+ht60DViO1hxt5Y/UO+opay4jyjuK7H0VbPzKG7fzJ2ZNzCXqgjm43W5WrVpFWVkZQ4b0JjU1DY1GXnQOHz7c2uHy9ddf/+Vmkf9/hBBvwjbbjwBjHOakdRy12IjwMWBQKHggOphNNU3MC/UjtQfGeAqjkaiPF3Z4LDy8Z+rAZ6OxsbE1WAGoqqpqDVgmXHcLIy6bh0avR6GQf3+Bt/XDVdaMKkiPogPDScuOUmgpE9V8fqxD7SPlWZnnU8EKgCo6AvcFbgRVNeI6ZRvtpVPwvfRSfFuyOV3h6Ob1rPnwLfkPQSAqNY0L7n6IPiPHtvJ/XOXN1HybgafBid9VfTD0C6SuycprH3+HtrEYITCOZ2++AqPuvysmeR4yzgcs3UAOUtq2Ne/8eRG+IaFc9MhTXTqrnsI9UUE8mFWE3lNBc/237AP2Vewj2juaoaGy50pKVAA+QRGUlTfxo6qcuXW/IrpdTNngw+7Hf2esUIsiZCDarRfj1MrCWrVliSRZ/ElqSOLKRZ/xyeWJpIp7mOcHS+vUjMz04/bldWT0GUBZ8lgiynKIshuobCpF8Eri0GB59/rRho9ABRN93iPLNpRKzYVoJFC7bIw4/BEKJOwlu7ArwR4ZRLMmmP/0SuGaRe8yrCSbvbMVgMBkx3DC0XIYD9dM742fUYMUHUvfSXPI3rOH8D4jCY5NYO1H75CxbROix8OB35Zz1T/fg+O/QPxkMHfMEaj55BPclZV4amvJu/gSkjIz2hzP2LaZdR+/j9vhYN7zr7eKpJnNZjIy5LGd+VPZnB4UwumK338blu3bKbrptEjY2a9t6JzLMJrNeJwuUiZ0riJ7CsePH2f//v0AfPfdd+0Cif6B/RkaMpQ95XsYEz6G8IosOPAd+XuT0BkDsCvL+T2nEMVD91ImabCERgPw669l1NbdTHLyq4SFXkZQUBCCILQSc/9fgUeUWLKviCa7m7lDI/HSdZ0RkiQJtyh1KTcPskR9jcXZqRaJ2+1m4cKF1NbKBnubyqeQpTGCKLLWLHGx2839aQNRa/+aDNUfQWBgIGPHjiUrK4u+ffu2E/3UGdv6cgkqBZrIzjuWDGmB2E/Ir9fnwnP3sSp3rsIyxYUkiVjHi6TqdN2f1AFEj4d9y3/CHBrO1NvvISCyV7vX0ry/gvplJ1H56wi6uz/qQAN7MvL4cckS1B470UMncv3MsX/o+c/jr8H5gKUbiJLY2rHTmmGpLmfGc490G6w4CwpoWL6C5L6pbB03jgZHGDNLfWhwyLyAcK/TuyCdWsmKu0dT1mCnYsdatnwjp4cVTQ2MjU2hqsmBq6AYy4ZB+PrOZL27Ao/nNDfhyRtvYXdiFL9VvoVCaiDJ0Z9LJ+6iaWQAA3fcwNADTiQC+VxwEmRrZu7e9Tga6xhWsg+v6Hr59akrGKH+jjvrLHyou4IAUcCt0qBr8SF5cFggqyrvRHDewg8lSrYHe9g5VInCIyEqoNZZxx3eMFtRhPGQEeewSDR6FdVl/fAKTqHkpJ0V7x3C42hEZ/LC2lBPVX4ufDACmmUnaZ4oB3V70qphxAgaV8lZGJ9LL2l3fP/KZei9vGm0V/Ddkw+2lk1OdUmoVKpO0+OXDYqg0e6itN7OjaM6F4hz5DZQu/QEeCT8r0lGE94y4dnqYdF8KNpNw+j51ETHEBg4BS+vzr1k3E4n9mYLJrMfrpISJASEFhGTzF1l9Bl+mjOhUCrpO6Fjh+KOEBAQgEKh6JDH4MjNxZWfz8fj3getBkX5UfhI3vVOAT5u+ppe01+iucJNfnokFh8bSBEgyFNF2f7hFIgf0qs8izEpD3DHHXdQV1dHbGwMDkclGk1gp2Tgo01WHswqQkDm8Zxtnvjfwmfb8nh5dQaiBC+uyugyo1Zab2P+J7vJq27mmuG9eP6ijpVL65qdXPTBdgpqrAR7a9n+6ERUZwU4drud2tpalEolHo8HQ1kRl9cUMzjgd06UV1K124j1zSAGXHQRw2JjsR8+jNf0GWgi/li25I9AEAQmTpzIxIkT2x2TJAnR40apah9QSR4JT5MTpY+mzedvGBCELtEMCgGF7tyXG6XShCT9MdXnM5G+ZgU1JUXMf+GNdhYVkstD3S85WPdVYBgUjO+cOBQaJZ/+som8A1tBqefS+dczsHfnhrzn8d/B+YClG8gclpY/WgKWkPje3aqHSpJEwQ034KmtQ7LbCfrno/hffz0/zvqRAxX7GXJwKYH/ToGoEXDtMlBpUSkVhIpWrN8uxt9qp9nXSNx0I7/t/g93LuuNR4Iry5pJk/Jp9AWtR4GICntjHdnJQ/Fxqwiqf5H8skYG9v2CZrcBn6ZIVKIc2AgIGAuycHmFgz6Szcmp5MbM4Vu1m+d3P0P/oEOoBXjY/CvuE1Ycvfvy0fyrMdY0sD+5L5nR8fxaMZEXxTQaTFmoLipsqZbJb1CRsoTyvk/iMsq6FiueeIXY1GRsjQ7szfKk4xdmot+E29n102K0BiMjBkXAYtnnpEAXyo8nC+gfFMYkf+8276f58ssxDB6MIAhooqPbvd9Jo8ez+atPAJh57yOtjyuVSpKTu/ZDVikV3Do2DkmSWFZZz9L8RuaH+hN01k636fciJKeI2OSk8t2Dp9PbWauhYBsOjYL94nKkfIG8/HcZNnQ1JlN7/576inK+f+ohrA31BMcmcNVzr7L/sy2YnDVkB08m8FB1m4AFoMpaxUO/P0RBYwGPDHmEC2Iv6PT1hIeHc8cdd1BTU0Nc3OlWZdvRY+TPnQtu+bNIyswAd1uV5qseS2bfugYErQK/PrW4AxzcWvMl1ZiJpphrTStJ2+9iR72Nm9nI8rtGk5IQy4GDV9HQcAAQGDf2YIeKtW8VVFBid1HtcjN2T2aXargldic/VdTRz8vAOL+uNUckSeI/+//D5uLNzI6bzc19u5a0t7k8qJUKHO5uiKnA2mPl5NfI0u9f7yroNGDZX1BHQY1saVDR6MDicONraEt2NplMTJs2jUOHDhEfH49o9xBiW8kxYySTsuz0Cy4jyxxLxuYgQp+7HiSJyn+/QeLBAwhaHbmHqnA7ReIHBaFU/Xe9aayNDSz51+NUFxXQe8QYLrz3kdbARHR4qPwgHXeFFVQC4c+MQDijZKsw/PGMUXj4PJRKAy5XHWFhf8wPKT99P79/8zn9p85sF6y4qm3UfpuBq8qG+dIEjENCsNgcvPrO1yhr85F8o3jy1qvw/h8Krs+jLc4HLN1BEluFwtwtFgShiV2LWNlz6sneVoKnrhmPpMaAnaXbv2KbcR33Bt3GjKTeCEeWyoMLd8DRpWxtimT/7r2Eu9wkHz7CUI+cYam62YSreSez4y6kLjeQJ2K/4SbfYLyqFByPFNCV3IEjvg8WozdWg4kaP5iT7WBLVS9SgjJpDjyEU1tDmcOXFRoHiyNvIMGlJibAi74VEr1LrSgk2KW+jYHI/JF8jx+RMyzY7MfxlCbz/QgdEQ4lN+7+mf2kUY8XSu1x5EBFDuIGnPBhYJUeV+JpbQ1DQDYn9vgjnEE3GX15AnaXB/PU+SSGeKFRA/2uRMrdzGWDPqe60omtPJdn4sK4I6ptG7I2pvPsx6CZF5E0ZgJqjRb1H0wbr6hq4I7jBQC8mlfebkHV9fHDniV3ZXid6eDbawTo/RDF+jbO3qLYsWVD4ZF0rA31AFTkZqPQaIh/7VkOriskJtKLEZfGtTvn15xfOVx1GLfk5tGtj3YZsICc2j9bfNGZm9MarLQicghc/BEU7kJMvpzym+4mKF9N7U1uIsZU4jmUio+Ug1mQeUibkvRsQs++NQJR2Hngh3R+vjW0JVgBkKit3U5QUHtLgRG+JlZUydnFy0O6Jh1fkZ5DicOJXZQ6/C6ciay6LD4/9jkAbx94m4FBAxkY3Llb861jY/GIEk12N7eP73rjMT4xiPc351DV5GBin87vYUScP0Oj/diTX8uF/ULxdtXAd/eDvR6mvQjhg5BEEV+Pg2ExEaSOHk3sL8dZaTehPaxmirAXhSDRWyjiUMC40wR/QPKIHN5YxPYfZX+1jV9lcMf73XTCHPgastdCvysgaVaXQ7N2l1OSVUefESGdyu/np++nukj+bZzYuRXO2BS4Si1ysALglnBV2k5nH/8kBEFBaOgf6/qSJIn0tSv5/etPie4/kPHXtg1krUeqqfvxBEovDUH/SEMTZuLwyWK+/n4RWnczoWljuO2S/47y8nn0DOcDlm5wpjT/KfMsn+COlTwBXJVWdr2XzjGbiCn5DsLKtrMhup7vR+TitlZxff6d3PxBNJfHeBOmkxeBt5Yvod6ThkZScUxw40lJIe3wYVxBEi63XP+tsnoxWXGIUpeaR74Ak13eHV51WQ11hdHYk+QJon+unX4uFQ+VZjAh+W0SDKEo+ttxFVgoLHeDoGSiTUNIsZMhRhUGbxUHrR5KHL4Ms7/HSHUeyfXbiPUvQaU7iSIwmzutTvqF2HH7q9i39yKGWGyoGjW4tGpqBJHUTD9Ca3V4kKg+NpHg1Ezq89JoLBxG/KAgTh6Qyz1agwq3R2TOe9vJqpA7CzY8OI64SxaCJGHbfgwvAWxOkTqXG0mUyDlYhTWvCP9jqzH2TcHn4os6LTl0pm4qSSLN1hx02lBUqs4nUrsonhGCtYdpRBi6RD8EpYDS54xyoDka7juC3lJBPzGP6ppNBAXNwNu7Y7n3+CHDSV+3iqr8XAZeIIuFRfcLILpfQIfjAQaHDEYhKECCGJ/ufY3SG60oBOh3BnnTa9o0fPcfwJGdTcBtt54enDYX0ubizMzE2SLsKHpJuJ0mXFHNvHLoSsKo5dOgS3j6qI3J5aeDnvfnD8RoNBAYMIWq6nWYTMn4+3e8mN4UEchIXxMKQSCxmx1ro8eDv1pFicNFmaNrYcEwU1irPglAtE90l+N1aiX3T+neuRpk3Zntj07E6myfMTkTRq2KH24f0dq+y/pnIe93cFnh44nwbAMH16xk0xcfAbDxswXMH/wM8V6+bGwIxiUp0SK/r75CLd7PPovt4EF8r7wCpcmIpb4UtU6Jy+5B9HTDGarKgl9l6xMyfoXbtkJox+asVUVNrP9cFkvL2FHGdS+PxGRu/9lEpabhHRhMY1UFYYltM5aaSC+0vc04TtShTTTLnVA9hMvp4OTuHSQMH41K/ddwd9xOJ3np+9j7y1LKTmYxYPosxs6/AWWLS7bkFmlYnYdleyn6vgGYL01AoVPx3ZrtHNuxEUGh4YLLrmZk3/Ybh/P4n8X5gKUbCAoBWlLHpxZKQeq851NyiVg9MjG+yRROVsKVlAWk41bKHiwGmxI3Eovy+uGttrNhmJ77P81k14XDqVXJXJHw0MmUTEtHDBNRAlVHfJmbtAi/ODf+WyUk++nn86sOps4X3njjGXJ7342fVc4GaYVmUq0VpKsCwFfJIocfumoBf7udnU2lxJoDMShUqASBIUYV8RvvZ/fAy0k3+xM7SIOklhcJtcWXhpPjOFGfTULiLnr7lxFX1pu5Xm9hPalGdCn4tMkfN6A2zsZ2wsSoW95DNU6DeK2EUqVgSGkzNouTsHhfqpudZFU0oVEqcHpENmZUEhdoQhAEvkuL5ZvSGvp7GZgX6kfuTz+g2/cOVnckvzbdwPjv78NZWEDQffed02d49Og9VFbJ/JfBg5bg49Px7vuSYDN1LjcFNic3R3SsWqny07Exs4I9O+q4aEAYfUJaSldaE2hNBBJHYGDXxFiDjy/XvvrO6cWtB0gLTGPNZWuos9cR7xvf5diPi6p46qTcRj8jwIfP+8oBjkKrJfS5Zzs9T9u7Nz6XXUrTmrVEVg2ndoSK6nIlVf6xFFUWMt7VzOyq08HKw9cMwBDc0vLabwGS5EEQOrYjOIWuRPXOxFd9Y/mypJp+XnpuCO88kAPw1nizbM4yjtccp19gvzZdJn8FNCoFGlXPpOFbP8/QNDlYAfCWlWYdzRZUag1uV0vH1yAjzRujGRx0nCuluxmmzqdJcvPsrOvQRPlinnu6TXvwjGjcDg9ul8iw2d2QV7XesoK0u2Wi0Pt2OlStUZ4SngVA0Qmx2OTnz01vL8TeUI/li68ouf8B/G++GX1qCoJKgfaqMB7c8BoHqw8ydetUXh/3uhxgd4Plb7xEXvp++mdnMvGG2/+QWWjRscNk7dqOo9mCpa6G8uwTuF1OwvukcNmTL9DrDK83d72D2u8ycBZb8JkVi2lkGHanm1c/+BYqs/F4hfLILfMJ8PlrMkTn8dfifMDSDbQ6A9bmFlvyiABsFGMtru10vCbcxLAre8O6AnLLS5DcIrGV0cyuHYlXVBSqw/sBJxICDS49lZo6FAhM2HmAur5T8XicHKhaSWLQaeqMy6pmw65AVIn1lPoOZeagUvpWaMmJS+BCqQyFvZaNw8fR6+R2AkxuxnmvJkSTzaIjj7LqxkMkGnWkVLmoPlwLKj29EgJoqKojCj0g4CrZj8rjAJWNaRXreM9+J5OU27n05w3k+sus+IrKBOJ776E+cwbeNFOfp6dst5w+Hmuu4cZbPXxZ8SL97A3wyj/gwSyUXrJWip8iD46+AyXRBI59mAem9GbJ/iLG9Q7kptExHC9t5P1NJwnz1fGvqYnoWurf6uyneShaTZm6jtsrZNl1pemsicTZDLs/krNgQ29rJzonSRJV1RvQ66Ox2fLJy/+A/mmfdPjZKQWBWyO7VsM9XtrIjV/I8ugLfs8h/ekpXe68u0JPJ2ePx0N9fT1+Zj8C9F0v3gD7GpvxV6uocblbzRh7dD8KBT7PPUfeg4+SatITrVYxMA2YJh+XXB4q3k3HXSkvxNrothmt7oKVc8EAbwMDvHtOcvTR+jAibMSffl77iRPULFiAKiiYwPvuRfEHy4ukXAx+ceBohCjZaHPwhRfjdjpwWJsZetEVbF/8NWXl+8nR2MiN2kSOIEcNL4S05+zojGrGz+9YnLIdvEPhlo2Qvw0SpsoS/J3AN9jARQ8MpDS7nriBgRi8O/8uK5RKnJt+p+bjj0GSaPrtN5IyM8jNe4flx9/nYLV87tqCtVQvuZheWl/umhhPkFfn72FFXg4avYH0NSvRGU2MvHx+l1YnZyP34F5+feMltAYjfmERGHx8GXXl1fRKG0hgVHSbsfasWmoXZyGolQTe3g9tlDcniir4+Mvv0LkaCegzlLuvnI7iHJ7/PP67OB+wdIOQkGBKK09SUdtIsJ83FqkB58muNTH8R4Vxwagw3A0ODv78C+U1J5k1+TYC+vTj8w1HaNr0A/5aESEikJtr7Cy5aA8R+U3sCLOgs9XRzx5Mw/541EFHqCvxkFUtUGt2ELttIPffPJ/B/5T5C536y1ruhoYifEMHcNWpH5/rJKHqq5EkHa/3vhF1nEBE6UL2q8NZp85CFWmm2VXIZ4rrsUX6cbBiGCHuvYioUeFGKTr5qOQBTHFm6lSHkbZ4k6qWULoEdHU29l+yFsV/UkFQguSRReBG3Ck/98+3yRP34cWQt4V7bvyNeyad7th5ZOkhGmwuVh6xsSmrivUPyO6xK0KCOUEtLkHJS2F2dnzwAV4Tzyo3bPgX7P8S3DY5DX+WMqsgCMTHPUR+wQK8vPqSkvxmTz72TiGe1cL7d7dCnzLcO2UY+thjj6HVdt2d9kB0CBWOInoLWv6dGNnl2DPhEiVm7MvmhFXemW8Z2qdNJ4+gVuI3N5yaj79H6atCUA4B2qbxRY+HdR+/T9HxwwyYdiGDZl7U7nlW5K7gSNURLk64mD5+PVyE/0sof+pp3NXVuEpKaFq/nvj16/74xc4qw6h1OsZcdX3r31GpaRzfspHYbA/l4f6Uqeu5q/9dKDR/QeAXnCL/6wHCEnwJS/Dt+KDbAUd/Aq0X9JmJKiioDb8GoKjoS5J8IjHV1WLxuPCIZjYfqkPwNPDVzoIuu7C8/AMIjo3HOzCYbd9/SXnuSSbdcDu+IV0rC9ubLez6aTH7V/xM7KChzLr/sU5LSpIo0bi+gKZNReh6mzFfkYjSqGbppn3s+/03FCgZP+sKJg3u3mDzPP5ncT5g6QZTR/Tny8Pb+eX3vdx68SSIVeOTa6Q2uwi/hK4XA5WPliHXX9HmsbsvGAAXtHX0nHfqGOCRJJT2BpyiloKcAnRKD0OLSukzcRxqTQ938qYg+d9Zjym89AiWCkacPEKmpzc/M46g1MMUpD5MwNEGlCix9o0EpUA9eeyNjUf0m0BJgARaBxrJxdyydeQIK/h2iIpLrKBzgs/TX1Ho9GLqgGsRDn4FoWm4+s7DWlmBd2AQgsEfquSSGCHtw6wQbz3HSmU+z4jY0+Zyw6e8wicb/gGSh2T/5PbBCsAZwn6dISrqJqKibur0uM1mY9++fWi1WgYNGoRS2fmCkRruw4KrB7I7r5ZLBkS0MQDsCURJotThIkyrRtGDDEtlZWUbd/Py8vJu/WwSjTqWDTyrhVv0QG2uvNtWdRzw1LvdnLDa0QgCTkliY01ju9bjiuf/he3QITy1tdQvXkTvHdvbHC/OOMrRTWsB2PzVJyQMHYl34Onv4sHKgzy29TEAvsv8jr3z96JT/fc6MFwOG/n579JszyQq8ib8/NqqVKuCg7EdPgyAkNQHp92GRtezMlaXyFgBqx8FtQ7m/wh+MaSMm0RY7z5IksSTYR0YFP5vwOpHYf8XgATRYzBdv4KoL77AWViA94wZAESEzyO/4ENuDQ3jafE5xEIVKk9Tjy5/Sipi2EWXExQdy5oP3+Kz+24jYdhI4gYPI6x3EkazGYVCia2xgcr8XPLS93N8y0Y8bhdj59/A4Asv7jQr42lyUrsoE0duA95TeuE1PhK3KPLqJ0twFB3DYwjkvpvmExbg+xe8Wefxd0OQ/l9TfeoAjY2N+Pj40NDQgLe3d/cnnCMefultEEVeffxeXE02il7cik1lJfm52Sj/HzG9qrRWcvfyeXhV1pJYM55IysgnGrdGYu3w/ijK9dyW9SsR2hCU7rHkuBy8pyoiINDIgd7xGBp/xafpOP/edJzmYh0fTlciClASIFAdsRBJoWegt4FVg3rTUFnOt088iK2xAd/gUG569TU48iOYo2kICsTjsWI2D2/tvmp2uFl5uIwwXz2jE9qWPKpt1TQ6Gonxiem4hOJogl0fAgIMv0PmknSCU1/1s6+zdOlSMjMzcblcmM1m7r333j/3ZncClyhx0cFs9jfKJZWM0amYu/n+eDweli5dSkZGBn369OHyyy8/95S1KMJXsyFfNrDk3kM0SSHsW5mHRq9iyIUxaFo0Mt7Or2BReQ2T/L15Pj683XtV8tDDNK1bh+RwoOvbl5glP7Q53lxfxxcP3Ym9Rd34nq9+RK09HZAcrjrM/FXzW//uLGA50NDM0oo6RplNXBDo2+HLcjqdNDQ04O/v36P3JHvPDnYs+JoqvQJ9dC1x/dKZNvVY6/cQQLRaaVi9mu1rV5BVL7fnX/f6ewScUV4oz21g41cZSBJMvzUV/zM6YiRJ4osd+RwubmD+sCgGR7dI0S8YLX9X6/Llv3vo0fQ/ju+uhNJ0sJTLf3dy3253E0qlgYPl1bz/6yqsJVb0Wj0fPHJda4n3bHjcbt674UpGXTGfwbNkbSWX08HRTes4snGtrNHUAbwCAukzciwDL5jTqeksyLpJNd9ngiThN68Pujhf8suref+z79A7avGK7c8DV89G2Y0g4Hn8vTiX9ft8wNID/Lr1IAc2/EKvQRO4YdY4itcfRFzXSL2pmuRHZ6PS/M8pU/YUH+39lYXrf2FAmZr3zD+iE2RS7RDHB1Rq/ZmUkMVn2U+3ji+2r+BX7NSbt/N9yCokbK2cmsWvuGkptzPnlsn4DpxFVZESd5XEB5OTiak9xpoFb7de65SIW1nZUo5nyO2Qel0UI0duah3jdjpprK7CHBJ6TjXsnsJZ1ET1V8cQm1yYL0vAOPi0F9EPP/xAbm4udrsdg8HAI4+cbtnMszp49EQRogQv944goYPuloyyRn46UMygXn5MT23vcXQK2c12xuzJbP37/aQoLg3pfML9y9BcA6/HgtoIrmYY9yirMi+kPK8RW6MTQSHwjw96ZhjnsVio//FHlN4++MyZTX2VHYVSgU/g6SyEramRmuJCQuJ6t7renonNRZs5XHWYWXGzOux4sntEUrcfxSlKOCWJN/tEclWof5sxjY2NLFy4EIvFgiAIPPnkk11mxgAOPL2IEo+Tg6o8xJYv8DPPPN0mYAFw2qy8e/0V6Exe2C1NDJp5UZuW2JXvH6KyoAlro1wavnPBaZG1bdnVXP3p7ta/s16YjlalhI0vwJbX5QdnvQ2DrmfVkTK+2JHPkGgzD05JbPHSaQ9RlPh0Wx45VRZuGBVDYgccl7NRV1aCRm9oNcrsKVyVVkS7G02klxys1ubB5pflktCkp2Vn9W7gcDhobm7GbDZ3ydPKP3SApS89zVUvvNGqTH0mrA31VBbkYW2ox+N2YfQxYw4NwzckrMvrSqKEZWux7ETeyxv/eUkovTWs2nGYLWuXAzBmyoXMHNUzt+7z+HtxLuv3/xvpgf9hzB4zgJ179nJy3xYOJ8XRb/IAsqt/x/dgAJnPriD4mv4EJnXfavo/hRqLg89/sPHpyj0oYgLRDTndJvqCXcfmRiXDG2rgrLlomNiMqziS/T4CJ3USoiCgcav5dXggUpMf+/36MVJrZb74DxQREh/VXsdTn1fzpS6LUVIwx1Qu4mdOID09ndraWgKD0lEqTXg8Fmz2wtbnsVssfPPYvTRUVgBw79c/dbjQdYTqogIUSiV+3aTUm/eWI7nkbq+6H7PbBCwzZ85k586daLVahg9va7b3dkEFR5ps1Lk9jNmTSeawZISjh3Du2YPXlCmoExK4+pPdWJ0ePt6axzOzkrmhE7XcOIOWi4J8WVZZzyBvAxcG+fboNZ4Ni9vDIyeKOZpXS1+nkjuG9iI1vIuFxOgPw++EfZ9B5DAYfT+64nwcFvl7ENSr4wXwt6PlvLE2i17+Bt68sj/eOjVKkwn/668H4PCmIrYuzgag34QIxlwptwrrvbyJSOpYYA1gfOR4xkeO7/S4IIBKELC0eFRpO1icSkpKWj1vJEnC7XajVCqpev996hf/gGHwIMJeew1BdXqKC9CEk9d8/Kznah8ca/QGRl4xn/Q1K4kdOIQxV13X5nhksh/5R2oA6D+5bVnYR3/m5kVCuWchVByGITdDv7nygm8KxOURuX9xOv5GDXvyarE5RZ6e1bHA4cojZby4SrZrWLS3qFuvq51Lv2fHD7IT84Trb2PgjPY6LI2Nh8nL+4BqdSID427DrDVgO1pNzTfy86iC9IQ8MBj8YuCSjv2KOoNWq+2WZyVJEnt++ZGg6Lh2Ym6nYPDxJbrfgA6PdQbR6qJ2yQnsGbV4jY/Ae0o0IhKvf7mMptx0PFozd944n+iQ7snr5/G/D+cDlh7iwZuv4rW33uebb7/l5huvp/fccRQFHkC3xobl8xxOmn8nZHoqvfoNQNHNTu+/jWa7i/5FR1Eh8lviHCwuPanKKhzu2dj8qsjw/ZYCSxj+1fMIVJWhUs1AJbnZW7IEH3Uh31Vk8pPJRLVSwac+fnw7vgqVu5qr19rxUtZR59Tjr7VyW78vObo+FVVxLj52N6O9Qmk292HZsmUAaDQOZl44HI/HSkLCE633V5F3sjVYAWiqrcYcctoJtaHKyok9FQTHeBOVfHqnfXDNCjZ+tgCA1AlTmHZ7B6Uclw1ObkAfEUHzAXlXbRrbNrgxGo1MntxxK3I/Lz2LyuWusAhRwbRHF/HJ+ldRSSLV771HzDqZlNmThh+FILAgJZoPk3veztwRfiivZVluJeptlRQCK3cXsfOxiYT6dMG1mP6S/K8FY6/sTXC0NxqdivhBHXdGPb/iOFqVgvUZlcx8ZytbH2kr116UUYfBW4O10cnhTcWtAUtncJZacJU1o0/2R6HvfOrRKhT8NCCeZRV1jDSbGO/XftcVFxdHfHw8+fn5DBs2DI1Gg6e+nup330NhMNC4ajWa6BgC77m79ZzAS5IZvkqLj6oYZYovw0d33lU04tJ5jLh0XofH+k2IJCrZH4VSwDug7XveN8KHRbcO52hJA5d4HUe17J/ygUPfwdO10GIaqFIIxAQYySyXuR4j49pmkM6E6Rwl7XMP7G3VTNn0xUcdBizHMx7lI8dMVntGQ8UJvu4bw5CiJgS1Askl4q60ndNznisO/racomOHufjRZ/7Ub+FMOIubqPk2A9Huwf+6ZPRJ/pTXNPCfT75Fb6tEG5HMk9dfgub/kTL+ebTH+U+uhwjwMXH9tdfw5Zdf8tmnn9B/1CTmThmOc7CVgs+2E1kRR9nnx1hd/QZqPz0z7nqQkNiENpkCSRT/knKHpa6WrB1bKTyajqBQ0qtffwZMu7DT8X6Z5aRGRpHX2AuLdx1rGcJa4GZxHP8OewSVy0hOWDav6FK4qPhqpgsh2MVmmt0NRBg9aCWY12ThBy8THoW863Wr5MV/n8rC5VjwbvSwNXcajYPDyVYLJGZkgUKFq0WuHMDpNBDu9zS56VVYvMx4tciJhPdJIXbQUPLT95M8diK+QaezH5IksezNg1ibnIhuiTFX9qbfBDngKDp2GIOPL9aGeo5uWtdxwPLDdZC9Bh0QNu01GHTjOUmF3xgRSH8vA7a6Gr5+7SO8JVo9fwAEt4tvbh7WaUnIZiukoSEdP7/RrS7HZ07QkiSxffE3FB5Np9+k6aROmNLtPaWY9HCGYwSce7eSSqMkZYzsUbM7t4Y31p0gwlfPc3NSWs0Ah8X48dNBWc/l7ontfZgGzejFpq8z0RrVTLul644UZ4mFyvcPggh1QPhLo2WNo06QbNKT3IVmi0aj4eqrr27zmMLbG13fvtiPHAHAe2ZbNWB9sj/hyf6EM7TLe+0JfIM7d1MeHuvP8Fh/KKrudIwgCCy+bQRbTlSRGu5DTEDn2jETEoP4+NrB5FZZuHhg975CIy6dx/pPP8A3JJRL/vlsh2N0unB2NScRSgllQjhPZpewfWQcrlILos2N76y/TzTt+NZNbP7qEwbOmE3swCF/+nqSJNG8q4z6FbmoQ40E3tIPlZ+OTQcy+e3Xn1HiIXXcTC6b8Oef6zz+Z3Gew3KOyCutZsHXP6C3VeL0ieTe6y4n2M8bW0YN1T9k4LLYSK/dSJ7lCIKgwDswEIVKjdvhoKm2Gq3egM5kAkFAozdg8jWjUKnRe3lj9DWjMxrRGIzojEa0BhMagx5BUOBobqa6KJ/8QwcoOJyOQqkgIrkvTdVVOGxWbl/wVaf3XPzTUT7e9hmqxhrc4dGtC+bt9jDujlxNpukkIDFVB+FGJwb3BObHPEFm4Xaytu8kStxPslZHoTiFq/seQeXIx9c2jMrgC4ipvpvFZWV4t6yYz3EvEgqqjztZFT2c9Oemk3X0EHV1dQxIG8iyl4/htMu2AxfelUZovIE9y37E7bQzdM7lGHx829y76PSw+vEduAUobnIxdFYMQ2bKJZeK3JOsXfguSHDB3Q/iH9GB3sRbfUGphZpsCB8k61P8Afz86vNElMcQra/GR/Ue4MQ99g0Mkzv3N7Hby9i1eyoejxy0jR2zH7W67esrycpg0dMPt/5949sL22SXOkN2s50VR8uoK7dy8YAwBkSdG1fhTEz7zxYcbg/5NVZCvHXselyWI/eIEgcL6wjz1RPm20nwYKuH5fdAfZHMcYjrmAtjO1ZDzdenyzHdBSx/FJLTiT0zE01sHErTXysg94eQswnKD0PqZeDz3zMx7A5udzMfZe/gveoAzGodSwfEEar9Y3pCPYUoetj90w/sWPItqROmMOWWu/50Nlp0uKn76SS2Q1UYR4TiOzMWSQHvLf6Nqsy92NXe3HztVSRGda5Ofh7/szhPuv2bIYoin/66mbz07YgoGTR2MpdPHIpodVG/IhfrgUqI1FAXXU9dfSmiKKJUqfAOCMJps2Jvlmvv9qYmmhvqET1ubI0NNNfX47BacNo6Tseq1BpC4nuTNGY8vYePRmc0cXjDGtZ//D53fb4Ijb7jXZ+t1sIr992OJIqYFC7+P/bOOjyKs+vD97pFNu5KEggS3KEULdBCoVBKSwt1d5ev7i60pUKFFncrFHe3oAlxd92s23x/LARChECh7fu+e19Xr7K7zz4zO7uZOXOec34/p0LJvHHTWLZTQY7KQLl0BzmaZHp0OlcQerbWRCpJwr6lFrEih48ClKT43I3ZawgSkZObVv5CO8/tPCI7V4/Sx/ItMpzkC65swpx7e9M/zrVebDHZ+eW5nTgdTgQBrruvI8Vpazm8dmW9T9PZAt2zVC9Nx7Df1aFgC1YT82T3S/uyMrfA9k/APw5GftCkE3Rr2PTp17Qt70yA/DkkokqkIpfdwFzWcc3kBMLbNS6era09wsFDE+sf9+2zEbW6YX1LXVUFvz79UP13/sjP8xvZ3l9tnph/hBXJRQA8NSyBJ4Y17WrdJHu+gfWvurR3oNkuEsEpoNuQi7VQj+eAMJQJlx9g/RV0umOUla3F13cgvr79/pF9+G/AbrNxeM0KynOzCYppQ/tBQ1uwxhDIPZ7M7kVzKElPo+/EW+kzYfJfXgqylRionJOCo9aKz4R41J0DqKjV88mPc1HqiyAwnhfumYRK8e9vivhfxh2w/E2kF5Ty4+zFqM3l2LSRPHnnzQRoPTGdqqR6WTqCTUA7NhZ118BL+uN0Oh1YTSYsBj0Wo+vuXKZQ4B0UjFjc8I6kIj+XWc8+wvgXXye2a/Mpz7df+xD1aVdb65b4oXiHqImSt+W1/IfQmw2c8vfE3N2MpH43xQiCE4dFgVRpoTKvPbt1KjZ5p+CweeN7/A6GVmwlTFXGlOgjSGxiZtuH8Y7jDqJ95ORUW7km3p87hEOk7NhCRPuOjH3mFYoz60g/UEpkB1/adA1k37KF7Fo4G8HpWmq6MGAp/+k49jIjjlpXR0a9Q/LfjEVvoHD6Pvz0y/CWubJZuw13c6TOVR9wfqfIWQRBICfna6qq9xAaOomQ4HFNzq2rKKM0K4OIDklNByuGCqgrhqCOrSuWuUSsdic7M8oJ9lLRPvQS/35ydsKsMS49HLgy7bpWAyBqpFp8OZQYSjDYDLTRtsFur2Pnrn71Ga/OSTPx92+hO8qsg9xdLpl9r4tnvf4XMOnrOLF5PUc3rqWuopyg2DjKc7IRBCdh7ToQntgRDz8/ZHIFRp2OqsI8co8lU1NaTGBMGwZPvY/w9s0XZLcWw6FSapZnIPFV4nd7IrIANXtOZLJsyWJkTivt+w5hysj+F5/IzT+OO2D5G3E6nfy4bDN5x/ZgF0noM/g6xg/q7sq2rMzEmFyOMtEXn/HxSFqQvb5cBEHg9+cfQ+Pjy4SX32p2nNFiZ+by7ew/cpQYhQ6JSMA3eDcD11WwtuMIrBIlGo9KRkuX4Nv9JrIlaVRWlaFU6hGLXT+R+PU/81vAKjYoj+PIf4qc7t68oPuNuwuXonG61FGjzXNZ5/0BbQdPoTZmLDMfP2eyN/y+R0ka1tDF1+lwcGLrBuwWCwEDhnDS4qSvVoP3mcI4W7kR3fpcxCop3qNiEKukGPbuo3bZUtS9eqGdMOGyj11GdQYHSw8yMHwgYR4N0/V6vZ68vDyioqLQaDT1x1owOxAZcijItbNqZhGCAL6hGm59rfdl70eLlJyAn4a7fGlUPvBCztXZThOY9FayjpTjF+5BcEwLXUgV6aArgugB9UWll03KKlh8DzgsMPoT6HVfi8PLc7P5c8YXOO12Rj/2LAFR5zJYm4/tZMWiXRilddi7FfPjqC/YsbMPzjO/1aRO3zfv++R0wIx+5wQP714HkX2aHguYTlSg25SHNFDtMtNrQa1WEASs+XWIRCLkERdvUb4UBEGgcuZMzMdP4DNlCprezdTrmKpdgnBqf+hyW6u+N6OulgVvvEhtWQlxPfvSd8Kt+IVHYKrTkbJjCznHjlCckVavwSORSvEKDCayQxLxvfoR2anzX86qCDYHNSuzMBwoQd09CO2NbRDLJXy/dBP5R3dikWq449bJJMX9S4X43DTCHbD8A5zOK+WnOQtRWypx+Mbw1J0T8fXSYDpZQfWyDASHgM/YNqi6BFyxqvizpOzcyprpn3D7+18QFNu8MZ7D4WDmzJkUFxdTq1SjqK3mWcsc/L1qqcCHV7RP0dPzEEGRR3CcepvK0gzCr52JVGqjuiqEXgff5Yh9H0OUnzA97FG+SbieSaV/8nnaRwA4BREWZKhUajDXICSMZM7xEBzJx0goqSKkbz8iPvwQiWfjk3S51caAfanU2l1LC6cGdMS3iWp+p8VCWt9+iKRSnDodQS+9iO+0aY3GARz4I5uT2wsJbuPNiHs6NDB2KzWUcsOyGzA7XBevDRM3EKxxFcyazWamT5+OwWAA4IknnsDHp/ESRm25CavJjn+ER7PfaYWpgi8OfYFTcPJEtycI0lziWvr+H2HNc9R7SLcmg2GpA5EY5H+thmPBu/upKNCDANdMTqDTteGYbY5mhcCuCPOnQP4+MLhE2y72ef/46mNyjx3BdOYieX6GbvpbKzBVONFYvTFJ63j26xupqTlIadka/Pyuwd/v2uYntujhgwhXG7KpGga9AINfbnZ40bv7ECsl2MtNyMI8CHqs+Xbcuh2F1P7hEkVTJPgQcHfLGYevc0tZWV7DmAAtj0W1/PvR79hJ/n3ngrx2x44iakoiYMHtkLHJFQiH94J7W7YgKEpL5Y+vPsZutXDLGx+0KCPgsNuxW63IVaoreq6zV5ionJOCrdyEz41t0PQMRmcw8+GPc5HV5GH3ieaF+ybjqf77lJPd/HUu5frtlvi7QrSNDOKDFx4hsENfnJW5fPjZV6zccQRVB3+CnuqOMsGHqgWnqfw9BUddy15El7ztvgPxCQ1n2+yfaSn+lEgk3HvvvTz40ENsHTiaUz3b4+/luiCkaGNY0XkQ/xf7NPdJf0fQOjBXdcNj2/PYdzxP0sE3SKvaSkb+dn7N68VYj1V0cSSzNbALC9v3hFtmI75nParQDq67U0Ck9uPWtz+hr01CQGAwps1byBozFoDf9+Yy/ttdTN+UjiAIFJht9cEKQKnF1vgD4DLoE2vUOHWuC5Q0sOmWXIvRxv5V2dgsDjIPl7NvVXaD13VWXX2wcvbxWfR6fX2wAlBZWdnkNrwDVAREerZ4Uv42+Vu25G9hVdYqhi1u2cW5STpOgNhBoAmEG7+5+PiTy+CjWHgv1BXsNIEgCKSlvc227V05dvwhnE57k+MMNRa0ga5lmcLsWm6fuY92r/7J4I9WY7QYm3wPQEWBnu0L0kjdW3zx/b2Q7neC7cz3MuGniw6P6NCpPlhJHHhuecdWaiBY5I3K6gqOA2NcJ0KttgdtE15rOVgBl2LyDZ+DNgr6PQ6DXmx5eKQn9nJXHZJHv5aXj6yFdYg1rroKS1p1i2NzTRbeySrmWJ2Jd7OKWV1W0+J4qZ9vw2XD5n6bNvO5ei5j891MAIWpp5j36rMoVCpue+eTi2oeSaRSFGr1FQ1WTCcqKJ1+BMHqIPDhzmh6BnM4LY+3P52OqLqA8C6DeOeJO93Byn857rbmK4hYLObhm6/jVI9O/DJvEYc3reDg0RM8NW0Cfre2w9jRn5rlGZR+fgjtjXGokvyvyB+1WCJhyLT7WPL+6xzb+Cedh49qdqxEIiEgMBBTWhklHjHkEUIkxeTIG55kX05X00XIp/vGH4hCzdJEEVKTEhEijGFK9oV58TQuXQ//tkMgcQxF+iLeCfChu01Drw730HHQ6+xbloUgjSCgrgL1oJeRRQRSUaLn1eUnUEjFHMmrwUcjZ0rvSJ6MCmJrVR23hfiS2ExLq0gmI3rOHOrWr0fVrTvqbk3fycqVUoJivCjNdl3MEno1vDON94nntb6vsbNgJ2PajCHB55yGiL+/P8OGDSMlJYWOHTsSF9d81kr3558Ydu3C64YxTabfgzXB9cFQoLplJ+gmUfvC1BWtH390ASi1YCiDNc82uaRiNheRX/ArAOXl6ykqXkh42G2Nxl13X0eS12UTXHOUsv1r2el9LQDZVSJ+WjmBx25e2+g9giCwenoyTqfA8S0F1JQY6TPuElpk44e7lr1EolYtUyQNHUlYO1dLtV9YBIIgcDr1NYoKF6JuG0mV6RYkggmnDKB1ar71dL/T9V8r8L2tHZYcHVJfJVKfli+aXkMjqdFZQSxCO6753xaAv1xKsFxGidUVwHdoodUbQNm+PdHz5mI6dQqvESMQNWMIyNivYPd0UPu5ArIW0JyRv+86eizegc0rOV8NBLuT2rXZ6HcVoerk71puU0r5bc0OTu/bgkiiZMwtd9C7/b9XuNPNlcO9JHSVcDicfLtoHaUpB7CJ5QwaPprR/ZJw6K3UrMjEdLwCVUc/tOPikHhcmdqWjT/N4NiGtYx5+kXie7XcAXG41sDs/FICv59OgNMIkUoO9tRQRBjXs4L31j/OfadWMi57B2IbOEQi/u92L0wKB5/P1HPTG+1RWTO4v90NPNDjdcRiOV8d/orfTv2GxeHq+Nk8eDcL3zuAyOngWrUTLx8PMLmKM2/R2iiscd2Rrn5sQMtKrZeJw+6kokCPT7C63ivnSmLJyCDrhnOiXG3W/Yn8AmNCp+Bkc95mHIKDYZHDkJx3EV54eiErM1cyMGwg9yfdf2XuSNM3wOK7Xe7Yk36D9jc2GuJ02jh4cAJ1+pMA9O+3E6WyoTuu3SnwZ0UtjvXrCP/sA9YMHMCf2m4UWgLxkOn56JrXGT08tdHcgiDw+//twWKwYTU76H1jLD1GRf/1z9XEduat+5iKvTtIvH4Kw3tOBlzB2K7dA3E6RXwmPM8RqSuInLx/A1+88FxLU/5rqbTaOagz0N1Lg7/8yv6O8+vyKagroEdQD2SS5rtpfnv+MYJi45rWOrpK2GssVM1NwVqgx/v6GDz6hWK0WPlo5kJEFZlYPMN4/v4p+Hj+9eJsN/8cbmn+fwESiZjHJo/iWEYnfl+wmP3rl7I/+ThPT5uA35REjMfKG2Rb1EkBf3mbQ+66H1Odjj+++pjb3/8C/4jmXX27eWvo6hFFVloKp61KNrS5nettb6CSmVy1KIP9scoViLIFQMSRBIHMcAPjdjuRxQ3ngQMD2OFVwdfW2STo5yPOf5G49qE4zrS3dgvshl4qgFKMYIZyZHidCVY8h0Swun8oe7MqCfNR8dqKE2RXGHhtTHvGd22Ybt6Ut4mPD3yMp9yT6UOm19eZAFB4yNVWG9AOBj7T6I5cIhUTFH31AliRQgESCTjOLIE1USsgFokZFtV4KajKXMXbe99GIVFwtPwoWoWWW9rdctFtOq0ORDJx88HN2QwFImhGpFAsltGjx2IMxizUqhgkksYy6m9kFjKzoALC2tL5/qcZfHAdI3wyCG63kpgwgT59Fjc5t0gkYuwTXTi9t4SASE9iu/z133VTHE/dRuJzv6C0AfPfJHdNO6Jiu6BQBKHU9OT/Ng8kuzYMlVcppt6BiG+YeNE5/634yaVc5990QO+w2wAREumln8pPVZ5iypop2M8sCR6fdrzZsYExbajIy7nkbVwu5tNVVC04jUgmIeDBJBSRXpzKKeaX2fNQ2uoI6tCXhycOv3QjUDf/0bgDlqtMUlw4H7z4ONMXrKXi9EHe+eRLho28nhG9O6KI8aZ6eQZVc1MxnahAe2McEs3lawaIxRL6jJ9E2p4d1FWUtxiwAIgkErxnz+aJo3nUAZu2v8hLvacTqKpgtmwK9oJJlNwxAIs2C+p689w+NUl1f7Cj4zi+xAQmDWS8ArGPc3jNClgDiz76HYdaRox3DMO/2EWV0oSvRIRmTAJ9ov0Rq2XIztRFjOoUwjdbMjhWUIvdKfDUgqONApavj3yNWCQmtSqV4YuHNzypLrrLVVx6YonLUfbWuZd97C4HeUQEUbN+xbB3H17XjUAWEnLxN53BQ+ZBqCaUIoNL/6RTQKeLvqd2bTZ12woACHqmO7KAZu4sW7GUIhbL8fRo1+zrOSYrIQoZxRYbR9t24rbjWyhLO0ls9PUMH95y5442UE3vsbEX3YeWsObXYSs3ourgh1jR+DTla5ZSd16Zk8Z4JmgUSRD5fUV27QEABJ2dSKeY1xMisDvtrMhYgdFuZEL8BNSy/+w784yD+/jjq4+wWyyMeuRp2l/TuLW+JU5Xna4PVi6GVCbDeUZ64GoiOAV0G3Op25KPIt4H31vaItHIWLhpH8k7NiAWSRg2bjKDujY2S3Tz3487YPkbkEjEPHnb9SSnd2LOgiXsWrOYvYeP8dS0m/C7PRHT0XJqVmZS+vkhfMbFoep4+cZcpdmZAC1qHVTb7LyXVYz3saOMTj/Btd52juTHUIEPv5+axFPdZiAWCYiUHTiliGJWiJLQmMPcqjjFwfyHsZqsiJQgnLnJ950uxaqQ4RBJqMqrZN3W7djtDiqtPVAhJlfmpKjKiOLaxneJfdv48dUmEXanQLugxmv/A8IG8OvJXwF4ve/rDV/0CHJlWQBCkhq8ZLfbyczMxMfHh8BmCnOvBOoePVD36HHJ75NL5My/YT4HSg6QFJDUMHPUDPrdRUgDVdjLTFQvTSfwgavnNvtmXCjvZRWjkYh5Iy4M38E/X5XtOBwOTCYTHh7n9Gcs2bWUf38McMn4N6W9E951AOnPPkTt1i0ET5yMf8dzgoKdI3zpEOrFySIdMf4a1g3uhFwq5qfjP/HVka9wCk4+OvBRixkFavLh8G/gHw+dbgaRCMPBEsxp1ai7BKI6z9Pqn+LElvXIlSrsFgtrv/msPmBxOgVWHi2izmJnYrdwVM20WI+MGcm+kn1k1WTxQOcHWtxWXVUlSo8r24J9IY46K1ULTmPJrMFreBSe10Zgczh47/sFOIpTcKiDePreKQQ14S3l5n8Ddw3L34zN7mD6/D+oTj+CRaLkutFjGdojEUedleplGZhPVaLqHIB2bJvLyrbsXbqAw2tW8PDM5rMNb2UU8ceJVGa+/DjSMx099w99jnxPV2Hql4NfxLvKm7Q/2vDetMcJMkMpAl03V+AQOelnUmD0EmEWObh+66d4igqYPPhdrE4p3bQW+kmz0Ov1CH7lZFuiae9U8HCfm/C6pnF3gSAILD36K8X5C2mnTiM6+iHi2jzb4PWMmgx8lD74qy4I5IxVruxKQFuIuabBS/PmzeP06dMAjBw5spELs91m49T2zUikUhIHXNusRLhDEDheZyJCKcfvIvUDgiBQVvYHRmMOoaE3o1BcWTnwmjVZ6Le7vH2Cnu5en6m6mhhsBmYen4nVYeUeiwTf/T9BUAdXfYys5eLSEosNrVSCUtJ02l6v1zNz5kxqamoICAjgoYceQiwWYzhcSvXCtPpx5wcsFbU6sFnx9285qBcEAZ3Z3sA9efqR6fx28rf67rAWA5bvr4HqHDDXQrep2Hp/QOnnh+tfDnqqG7IgV9u4zWYjJSUFT09PYmL+evGnvaKCopdfxl5RQdALL7qKuTM3w55vIbQLXPsSiCVkHNhb32p83YNP1PtQ/bQzm3f+OMXZM/vF3J0vhsNu5/sHp9J5+Cj633LHX/x0TWPJrqVybioIAr6T26GM05JVVM6MX+aislbjHdeNp6bc4F4C+i/EXcPyL0YmlfD07WM5lJrE/MVL2bZqAbsPJfLU1HH43ZGIMfm8bMv4eFQdLu1OTiKTYbfZEITmHYFDlTIsNjti4VyKN0hRRj5BhCuLUEnMOKqHYRNqCC0pICs8CllKDSfkdmwiEcfkZrx7BYFIT5LMzMyOz2ArUkCpg8M1Crp7WlAo9PTq8CdnwwhT23i8aBywvJ9VzFfVXcGjK7cJv3J97oxzAUv6BkQnlxGfcF2TxaMmkYFC32rUijJCLvi8paWl+Pn5UVlZydGjRxsFLDvn/crhtasQnE52LZzN/d/80uSxeuBkDqvLXa3fs5NiGebX/B9URcUGTpx0FSVmZX/O0CGZzY69HLSjY/EaGolIJrkqPjxN8f3R75l/ej4mu4nfgOMiMaSvgxWPwMTm245fTy/k+wKXlsqKrnH01jZW8M3NzaWmpgaA8vJynE4nYrEYdVIAthID9jITot7B7EyvoHOEN5+cSueHGjOCSMyTxZt48TZXzY/JlEdm1mdIxCri4l5AJtMiEokaBCsA93S8BwCjzcg9ne5p+YM7HSA5U5NkMyNSSEEqArsrChCdt0y1fPlyTp50FTB3796dMWMauyMbai2s/e44lQV6+t4UV2/gWZSWysaZ3yCRShn9+HP4BIdSvWABxj17EWw28qZNIzE1xVVIrfaHjA2u7M9N3xPXsw+P/DQPRCKk53UD1ZpsKKRizLYrs4Rzes8OTHU6EvpeeZVpQRDQby+gdl0O8igv/G5th8RLwcodR9izaQ0SRPQfPZHrev91dVw3//m4A5Z/iO7toun0wuN8OXc1uqyjvPXxl1w/5kYGdW2Lso031UszqPz9FOqugWjHxLbaYdjLPxCb2YShugoP36aDnXvC/Am7pjOigXcjy89AGtaDR2JTSRYtokNwBj6F1+CTO4ZTHjZuOmAkrWIHZcUCyWJXe6pIcPLcrA9YNngEn137LBUif6yBSiQZOj7oGMltvUbicBj5Zq+OdfZetCOFPh6uNeefdmbz9eZ0gr1VzLuvN9ur9SRaauh4/DAiewiRExe4dtJQCfMmg9MOyXPg1vnUxg5naVkNkUo5Q/28OHb8YSyWYmy2ampq9tG+/cf1n/GGG25g+/btREZGMmpU4zZvU10dCrUGs76OuoryZo/njmo98WoF6UYLX+aUthiwOM7TdblaNFXPcT6CU8BWbECiVVw0Q2cymdi/fz8KhYIePXogbaJwUyVTYXWcpxtUe8Y3qtf9jcaez+LS6vrj9tzpArb3blwvExsbS2hoKEVFRXTs2LH+7lkkFaMdHUud2cbwz7ZTonMdV9nwYLRmI9VqT77zi2bl3hQG+Xoy2fwuOt0xrNYyiooXNhsoqmVqHuv6WIv7Xc+k3+DAT64loe53IhWJCHy4C5asWlSJvki15wqVa2pq0Gq11NTUkJaW1uR06QdKKcvRIQiwY0Eana4Jw7CvmPx1+7DXmSmvKubnJ+7nmQWrUSV1RjhTyC0NOFO0rI2C4mTXv6POdQBKmyj0fuCaWCx2B3qznUeHtNw2fTFMdTp2zvuN2G49CYiM/ktzXYjTaKNqURrmlCo8B4XjNSIaJwIf/rIUY84xHEo/Hr17CpFBjX263PxvcklLQjNmzGDGjBnk5OQA0KFDB1577bX6C0JmZibPPvssO3fuxGKxMHLkSKZPn05QUMup8W+++YaPP/6YkpISOnfuzPTp0+nVq/UW8P9JS0JNse9UNouXLEVlr0MR3oEn7xiLWiHHeLiMmlWZiGQSfG6KQ5V48WyLSV/Hd/ffzrVT76XryMZ3emcRnAKFb+3EKbYgNirI8imHvtmEbOiAwyRBLVGwqtaORSpg0aRiEJdRYJFhV3kRI61GKjiYtHARN37yO1apGLNCzMQ8Ky+mWAh6pjsOXwVtdx7HS+yg3C7hqaggXogNIfHVPwnVKsksN9A/zo97x7dn3pKlBJQXIbO5LoxvvPGGKxX/WQew1rl2+K61TK4OYmdNHXYB7gzzZ3zNQ/UBS0jwTQ0ClothqKlmz5L5SCQS+k68zeWg3QRziyr5LLeEWJWCnzvG4CFtSXLdSUHBbxhNOUSET2tkdPh3UDk/FVOyKwDzm9q+xVqLpUuXkpKSgs1mw8vLi6effrrRGJvTxrL0ZdicNm6KHYuqIh18Y1w2AS3wXV4Z72cXoxCLWNU5jrlbsiisMfP40DiSwrUNxp7NrFxIWmkdIz7fXv94+NgYVlnOBU8aMRic8KXnfPx1iwDQanvTvdvfW3xdUlLC1q1b8fT0ZPjw4cibCCIqCupY+vFhbBYHfmEeXD84jNo1WXAmCbIg+0O6jb6RwdNcBc2W9FNItr2BxFlOcrth/F/5DvwFMV/2fBlt1IC/5XPZrBaWf/Q2ZTlZTP3wKzz9Lr+27kKsBXVUzknBaXbgOykBVaIfheU1fPnTbFSmClRRnXhm6jhkLfy9ufnv4KpJ869atQqJREJ8fDyCIDBr1iw+/vhjjhw5QnR0NElJSXTu3Jk333wTgFdffZWioiL27t3b7NrjggULmDp1Kt999x29e/fmiy++YNGiRZw+fbrVxZL/6QELgNlq48s5qzDkHMckUTP2xnEM7ByPo9ZC9dJ0zKerUXcLRDumDWJVy3fZKz97j+K0VKZ9+m2Lzr+WXB2GfcXIIzzR9AlBJBI1kA3PbefDtowNWKWuJZHUwHDiywo4ewq5Zf4C/u+hocjVIzgUHoJRLmX3Bh1btKlkm4up1vqxqFN/nGIxv3SMZlSAlsfnHWHlUVdnzKIH+9IzSMyxTQtZetD1XOfOnRk/frxrA6Un4fRaaDMEwrox7MBpau0O8s1WenipWZioJD9/Hp6ebQgJmXDFLQ/+Eyl6ew9itaxVEvGLFy8mPT0di8WCWq3m+eefv6L7cnZZ8tdd2bz9RwoOp+tU09qaCkEQ+GjdadafLGF81zAeHRJPcvrnlBX8yv8Jb5InigZgU/dY/EzbkEjU+PsN+df+DswGG2aDDe8AFfqdRdSuzYYzx0TzRCzlYi/eX5OCp1LGO9FH8Vp3TvNkTOdryNHl4KPwYfvkc0GcxVJOds5XiERSYmOeQCbTXrH9Pb5lPeu/+4pxz79Gm+6tv4FsCUEQMOwrpmZVFrIQDX63JSL1VbJh/0k2rlmBGCe9h4xm3DXdrsj23Pz7+Vu9hHx9ffn444+JiIhg1KhRVFdX12+0trYWHx8f1q9fz7BhTcuS9+7dm549e/L1118DrrutiIgIHnvsMV58sWU57LP8NwQsZ9l1LJ3lK1agshtQR3XkydvHopBJMR4spWZ1FmKFBO2EeFRtm0+T1lVW8OszDxPfqx8jH37ykvfBabQhkkmoqKnkm2/OycEf6dKPThYddVl/UGc4wuFYO88kO4n3tKHeI+b6F2ez/MARjgRtoKoqDKNRS9jIMQzo2L5euVYQBDLLDQR7K/FQSOGHwVB0mGq8EIa9he+AuwAwOBzsrzHQ3kNF0Bl7+BS9iW9yC4mTVnJPZEfmz55LYWEhERER3HnnnUiaKZwtyaol60g5UR39CGvbcmbgamPYu5e6jZvwHDIYTb+Wxf0ua/6DJeg25iHxUeI/rT3iFgTzjEYje/bsQaFQ0Lt3b2TNqaL+RTallHLPrIP1j88PWKwFhVT//hvSkBB877gDUTPf4VlKSlZw8tTTWJCTI+nMrf1m49OE59S/HcHhRL+7GKfRhke/UCSecqb+vJ/00jqKa81MsOXykcerSESutuNOMZEAvNP/HW6MO1fPdfLUs1RWbsVmc0n8X8m6qbrKCn545C5GPvQkHQYN/cvzOS0OqpemYzpajqZvCNrrYxHE8OW8NVSnHcIk9+aBO6cQF3Z1tHvc/Dv5W4puHQ4HixYtwmAw0LdvXzIzMxGJRCgU59Z2lUolYrGYnTt3NhmwWK1WDh06xEsvvVT/nFgsZtiwYezZs+dyd+0/mv5J8XRr+wSfz16BMfc4r36Yw03jx9G3ZxsU8T5UL0mj8peTqHsEob0htskLkqefP9dOu5f1331FQp/+xHbreUn7cLZexs/Pj/bt23Pq1CnEkTEc8A5kH4GI/abxvKwHvXfuJHTcfgyAYaiTrZEScqWfE4OVmNjDHDwwlqldOzb4TYhEIuICz8v6VGWBXzw+lelQtge4C0EQGH84g2N6lxLu8q5x9NF6kKASmFL3MEZjJvsLoaRkMiAjPz8fvV6Pt3fjtmmzwcbyz4/gsDk5siGPsU92IaLdP7Mmbq+oIO+++8Fmo3r2bCJ/m4XmEpY+W4OmRzCaHq2TT1er1Qwd2vKFSBAENqeWobfYGdUxBLlU3Oh13Zo1WFJPo504oZHSL8DAaE8W3N+HEp2ZEe0b7lvR889jzc3FUVmJftNmon7/rcX9CQ6+EaUqHLtNxyi/axCJWrlkUJEBaWshZlCjFvh/ApFEjOfAhg7hbQI0bE9zLefleSQwp/JLtOJSCq0dWfBYBAGqAALUrot5ZmYmmzdvJiS0HJXKlQFVKhsWtZ+oMyIVi2inaSjnLwgCJ0+epKamhq5du9a7kV+Ip58//hFRFJ4+9ZcDFlupgcrZKThqrfje2g515wBKq+v4fOYclIYSpCFtefvuiSjlVydodvPfwSUHLMePH6dv376YzWY8PDxYtmwZ7du3JyAgAI1GwwsvvMB7772HIAi8+OKLOBwOioubNkGrqKjA4XA0qnEJCgoiNbWx7PdZLBYLFoul/rFOp2t27H8iKoWMl++ZyPbkJFavXMGaRbPZcTCJJ6eMwf/ujhgOlFD7RzaW9Gp8JiSgTGicNeh47XDS9u5iww/Tuf2DL9FoLz2zIBaLmTRpEk6nk/06I98eyQDAKdFyZ98HcHbowZFj5zxoio7rEbzP1Rg88MBUFAoFFRUVrFu3DolEwqhRoxoGFhN+gr3fQOINMORVAMxOgZMGEwFyKeVWO2vLa+mj9cBgyMBoPHcHGREBOTkQEBDQQMcDwGkyUfLmW9RlFyL43Vn/vOBsmFC0GA1s+/0njDod/W+5/S8VFjqtVkQyWfNLEmKXQu3ZPRBJWz4515ltfPTnaaqMVp4altDXI9HHAABhqElEQVQw0LsMBEGgyFCEj8Kn1aJps/fm8uoKVwfMU6Jkst5vuJxj2L2bomdcXV2VP/5Iu5RTDT7/5l++58ifqwC456uZjTRBRHI5gtlVVCtuZXZU6929wWOHzcnp/SVIpGLiewYhvrCDyqKHmUPBXON6fOcaiO7f7Pynq07z7r53kYqlvNn3TSK8Ilq1X3+V/7u+PZ0chZxYOQunRMSadrcik0Rye/yTtPc73GDsn3/+icPh4NDBSMLDJYwePYagoHM1a9/nl/F6hmuZdVKwD18lngskT548yeLFLqXijRs3umrGmsEvLIKaksswsTwPw+FSapZlIPFVEvhYF2QBanYcTWf18iVIBBvt+l3H5BF9/9I23PxvcMlN7W3btiU5OZl9+/bx0EMPMW3aNE6dOkVAQACLFi1i1apVeHh44O3tTU1NDd26dbvivfPvv/8+3t7e9f9FRPw9J5S/m2u6JPD684+jCGuHPvsor3z4FYdSc/HoFULQk92QBqip+PkE1UvTcZobKlaKRCJGPODqiFjy3mv1jraXQ3pNOodzfufhEBgX4M1PRWL0r+2hfKGNUycHkZ/XgYMHxpKfIiH/4IPU5vamYOcjaLWu+onNmzdTXFxMamoqn3/+OeCSmBcEgWxpG2aLJrDO0Rf7mWBCJRHzQUI4ATIpd4f581qcy5jRw6M9gYGjEYmkBAaO5o473uCFF17gkUceabQcpFuzltrly3EePUCXQ5+RNCScsY93IfKCItQja1eRsmMrmQf38ttzj172MSp9/31OJ3XmdOcu2EpLmxwj9fUlctav+N13H1Fz5zRr3HiWX3blsOhQPn8cK2bYZ9sue9/O8sH+Dxi5ZCS95/ZmT1HrMpiFNWY0Z4IMZ1OLx00+6UJwOkle9wfega4bku2zG4vPhX3yMb733E3I++8T/vV0UnYXsfn3FEqyahuNtdtsLPvwTT695QZWf/kRzjMaQnuWZbJ1zmk2/nKKOa/vbbwjDitY9SA+c3+mb/r7Oct3R78jT5fHgZIDjF42usWxVrOJnfN/Z+tvMzHW1rQ4FlwO2CXZtY0CZwCJWIRp/1pUcimeuhp67p9B1367GDT0j0ZjQ0NDqaqqQhAktG17NyEh4xGLpQiCQH6Vkd2VdQSc0Q1aWNLQEdpqtba6zkf0F87dgs1J9dJ0qhemoerkT+AjXZD4Kfl20XrWL52LUyzjtqn3uIMVN63mkjMscrm83r22e/fuHDhwgC+//JLvv/+eESNGkJmZSUVFBVKpFK1WS3BwMLGxTct0+/v7I5FIKL3gBF9aWkpwcPNp7ZdeeqlBR4NOp/uvDVo0SgX/d/8tbDmcytrVK1kxfxZb23Tliduux/+ejhj2lVC7JgtzWjU+E+JRxp/LpHj6+jPhlbdZ8OZL/PbC44x6+GkiO15aOtxgMzDtz2kYbAbgW2a2/Rr7yUqMeCHLk2D1a09OpR6A4nZqynd1xZTfhY0qK9POzBEQEMCpU6cAaNOmDUWL08jdXYy/VMSqwAPIlQoyMjIoLS1l6tSpANwR6s8doQ27EsRiKZ06Tm/wnErVdJZCkZAAUinY7WhrM0mclNDkOO/gEOw2a5OvncWcUY1+ZxGyUA1ew6IaaaAIdjtVv/2ONCQEe3ExZR9/QtgnTXcsqbt2Rd215UDlLCHeyiumpQGwPnc90V7R5OhyeGfvO/xxU+ML4YU8OCiWWpMVvcXBsyMaH0PNgP6EfPC+a0lo0qQGF0KRWEyXkddzZK0rwzLojrsbvV/q70/Aww8DUJxZy+bfXJnVlF3F3Pv5NSjOKzAvTksh67BLcv/07u30nXArfuERmPRWFCopZoMNXbmp8YdQ+8Kk3+HEYoi/Djre1OJnTgpIYmPeRgBGx7QcsOxbuoDDf67CbrFw6I/lPLNgdbNjy/PqWPLxIRw2J2KJiIe+aeweHdutFyWL5gDQe+r9DOg1tsm5xo4dS+fOnfH09CQg4FzNx6Nzj/DHcVdGJGZYJNE+Gr5IbHhu7Ny5MyaTiZqamkb6RBdSXVyIX3hki2Oawl5ponJ2CrZyEz4T4lH3CKJGb+Ljr+ci1xUg8o/l9XtvwUPV2MfKjZvm+MvVak6ns8HyDFCvQrl582bKysoYO7bpPzq5XE737t3ZtGkT48aNq59v06ZNPPpo83e7CoWiQV3E/wKDu7WjZ2IMn89aRl3mYV7+IJNbJ02gW59IlAk+VC9Oo+KnE2h6B+M9OqZer8M/Ioo7PviSNdM/YdHbLxPRvhOdhl5HVKcuqL21F92u3Wl36XAIMKKmLzs37qVO7roo3Cj04uEHH6a4vISwsDDmHyrm66NFXFjGPWjQICIiIpBKpQQHhPL7szuxnhnj4elFkd6l3hofHw9AdYmBnGOVhLfzISCyaTlwm8PJggP5WOxObu0VgfoCFVpVp460Wb0Ka34+6t69m/18if0HofH2wVRXS1zPpk/eVXNTEWtkmFOrcFRb8L2loY+JSCrF+6bx1C5ZCkDAY63P1Djq6rDl56No27ZRwenE7uH4eyqoMVoZ1fEiPkVOJ4hErv+a4YGkB/jy8JcEqgOZOWJmq/ZPq5bz/k3NB7kikQjtmb/dphhy5wMMmDwVmUJ50bt6mUIMIji7Znbh8MCYNmiDQ1xLFCJRfeam34Q4ZMocJBIRPW9oppW83WjXf63gzg531rsXt/Nt3m8JQKZU4bDZWhxzltIcHQ67KwB1OprOTPWdeCvt+l+DXKVucRlXIpE0uhG0O5ysPVFMmFZFYY2JjuV2pg+Lb/K9/fs3vyR2FmNtDWU5WXQact1Fx56P6UQFVYvSkHjICHy4M/JQDw6m5LBw0UJkDjNRPQZz15hBlzSnGzdwiV1CL730EqNGjSIyMpK6ujrmzp3Lhx9+yLp16xg+fDi//PILiYmJBAQEsGfPHp544gnuvPNOPv300/o5hg4dyvjx4+sDkgULFjBt2jS+//57evXqxRdffMHChQtJTU29qH7LWf6buoRaw4b9J9mwdjVypxm/hO48essopGIxhn3F1K7JRuwhw2diAso22vr3CE4nGQf2cmDlEoozXJL1So0HHn7+jHzoSYJimxeY2l20m+RDexm5qyu/KbYhQ4JN5KBr7wGsr/LFSyXlxVGJeCqkbNv6JwE5fxDX5waU7UcCMLOgnI+zS/CVSZgbGcGatw7Uzz10cixWXx3+/v6EhoZisziY9dIuLEbXEte4p7o22dnz1aZ0vtyUfsmtspeCrqKMZR++RVf7NfgqXAGDdnwcHr1d/7Y4LKzNXoun3JMhEUNw1NQg8fK6aKfLWWylpWSPvwlHVRUA7Y4fQ3Q5nTpHF8Dqp8Buhns2QHj3i77FbrORvncncrWG2G49WwwmdFYdgiDgrWjaMfhKUpBaRUmWjviegXg3Ye7osNuoq6jAOzDoLy1XXCkcdjsnt27EbrXQach1yJTN2xVYjDY2/nKKqhIjfW6MJb7HlbVuAPhsQxo/bM8kxFvF0of64aNprAnTWnbO/43Da1Zy37e/oGqFj5DgcFK7Ngf9zkJUHf3wmZiAWCnl55XbyDq0DatExS2TbqZ7u+jL3ic3/31ctS6hsrIypk6dSnFxMd7e3iQlJdUHKwCnT5/mpZdeoqqqiujoaF555RWeeuqpBnOcXTI6yy233EJ5eTmvvfYaJSUldOnShT///LPVwcr/IsN7daB3hzZ8NmsJNWkHefnDDG6/ZSKd+4ajTPChanEaFT8eR9M3BO+RMYgVEkRiMfG9+xHfux/66iryTx2nrqKcE1s2sH3OL9z86rvNbq9faD96CEmU7TpCf3tbUiVFtOvXidkFnqSVVVNca2be/nxy3rqWwXvvddUL5P0OE3+BjjfxSXYJgXIp6UYLDxQW8cktMWQeqiCuewjtrg3HaXUgkrkuPg67E5vZgVgswukUMNY1vVxjsjmQS8SYztQxXA1Sdm6jqjCfbcJCwtTx3PDmy8jDz5243937LisyV+AUnPQN6csPI364pPnNJ0/VByvgKhSWXE7Asudr0PhDTS7MHAJvNK7/uJAtv37PsY1/AhCV1JWJr7zd5LhNeZt4dtuz2J12Hu7yMA91fqjFeU0OJ9/klaGzO3gkMrC+Jb21hLfzJbyFLi6JVIY2uPWu2FcbiVRK0rCRrRqrUMu4/pGrZ1gJ8PTwBJ4e3vTy56VQmpXBwVVL6X79uFYFK/YaC1VzU7AW6PG+IRaP/qEYzFY+nD4HSWU2Tm0EL993K1qP/2yHbDf/LG7zw/9w1u45xtb1a5A5rQS268Ejk0YiFonQ7ylC92cOYk85vhMTUMQ2fXectncnqz7/gImvvENUUpcWt2VOr8aaX4e6cwBSPxUvLzvO3H0uqfah7QL56bb28EmCK2ABuPlX6DCeZ1LzmFPsujAvCD+Co+AjBMFK924LcaxSYTpZiUglJeT5nohVUnKOVZB2oJSojn5ESAsp/egjpH7+hLzzNlJf18XMYLHz3bZMLHYnDw5qg+8Fd5JFaSls+/1nVF7ejLj/0WaXv6x2J4dyq2kTqCHQs+HdcVlOFgveeAGryUREhyQmvfZeg9cf2vgQaVVplJnKkIllHL6jYSfHxXBaLBQ9+xzGAwfwnTYVvwcfvDzRs93TYf3/uf598yzoMO6ib1n6wRuU52ajr6oEaLb24vntz7OnaA81lhrgIoaBwBc5JXyeW4rlTOarZHCXVn2ES6GyUM/pfSWExGmJSbpy6qutxmqEnZ+BpQ4GPAWerWsj/7uxWMopK/sDD88O+GhbL21QkZ/LkvdeQ6P1ZfJbHzXwKWoKc1o1VfNTEckk+E5phyLSi+NZBfw2ZwFKu56wpH7cP36o27jQTZP8rcJx/wb+lwMWgBq9kc9/XYKoIhOD3Idpk2+mY2wo9goTVYvSsObq8OgXitfIaMQXtJUKgsCCN17EWFvDlPc+Q6FuWpOhKax2J4e2LKFN/jICOg1F1PMeKDwEJ5ZC7GCIH1a/jRyTlUC5lOOHrsfptGAyuQKdtut/ra9b8L4hFs8BDbUpsm+5BUdlFbaCAgCXEVwrmPfa8+irKtGVuwq6m7sgT5m5l10Zrov2r3f15Nq2DdWVrSYjFqOxSVnyfF0+M47OwEvhxWNdH0Mja/2xa4qUlBTy8/Pp3LnzpWcYDRUgU4G8dftQXVLE7oVzUKjVDLh1Ggq1hi2ny3A4XcHn2dbggyUHeWbbM1SZq/h00KeMiB4BgGC1UvrhR1hOn8bvvnvxGOSqSfghv4w3MorOKs5TMqgTiBv+5qxmE+a6OrwCWqdkfT5Oh5NfX9yF1ezAYXNyzeQEOl3b2FSzKfKrjGxPL6dfG39i/C84TieWwKkVkDgWOk1seaIt78OuL8F+psD3TEbLaTBgSU9HkZiI+IIaO6fJjkjx95lWAuzdNxKjMQtBcJCQ8DoR4VNbHC84nZzctomtv83Eyz+Am156s1k/Mtd4Ad3GXOq25KOI98H3lrZINDLmrtvDiT0bsYtk3Dh+Av2TGtfRuHFzFrdb8/8YWg81bz56B6t3JbNj41rmzZpJSIfePDRhOAEPJKHfVUTtuhzMp6vwuTkBRfS5bItIJGL4fY8y79VnWf7x29z00pvI5K0raJYLVvruewxkSvjjD7AZod9jEOaqobCajDgcDlQensSoXXOGhkwiPcOVqeic9Avk+2JOqUIkE6Pp1vgCpuqURPXs2QD4PfBAq49JUGwbik67OpO63zC+yTGCIHAwp5oYfw3ZFQbm7c9rFLDIVWrkKvX5b3K1yUoVRHhF8N7A92gKQRA4qTfhI5MSprx4HUFhYSELFriMH3fv3s1LL710aYXlmkvLNPgEh3L948/VP/5uWyYfrHV16ET4qtjx/BAAegT3YN24xRw/9iD6nKfIkzxLZMRd6DZsoHqOq5vFePBgvf7KPeEBeEgk1FlM3LPjMXhrM4T3grvWgERGZWE+8199DrNBT0BkNFM//rrBftWuy6FuRyFSXwWBD3Vp0oZCcFJ/4XeeyeSY09JIe/stjjqMaBMiua69HrlUAkNfBe9w9BY7Y77eSY3RVSC7+rEBdAw783egK4LF9wCCK2hRaSFuGCZTHoVFC/HQJBAUNOZc9kvhAY6GjQYOvZ6ssWOxF7k6dBL27kGi1QJQszoL/U5XYXnQk92QBV9aYGszmzm5bRMHVi3BOzCYmC7dCYlrS1hihxYzclZrJQpFKGZzPgZD8wq4giBwfNM6ktetpjwvh8QB1zL0nodRqJtfvnHorVTNP40lswav4VF4XhuBxW7nnRlzEUrTcGqCee6+KQRoL76c5MZNa3EHLP9F3NC/C/06xfP5rMVUnNrDS5lp3HXbRBIHhqFs50P1ojTKvz+GR/8wvEZE1Wdb/MIjGP/C6yx+91VWf/EhY59+GUkTzr2NEEtdJnh1LoEqtOfaH/NOHGPZh29it1oamLpFRt5NaOjNiMUKxGI5TAOn+czdZxMn36CXX8Jz+HCkvj4o4hveqZntZualzsMhOLit3W0NxNAGT72PuB59UXl6EhDVdOeISCTi7XEd+WF7FuO7hvHBhE4tf16zDn4bC0VHXBmk25c0yh6c5a3MImbku1RL34oL5f6IlrMJ/3SiM7fSiFYto8ZoI7+qYWtwedkf6OqOAgLp6e8QGXEX8ujo+rbx85GIRNwW6gcFByFrs+vJgv1QcACi+pF34ihmg2vJsDwvp8F7BZuTui35iD1l2MtM1K7JxmdCw+9cLBEz9skunN5TQkicN23OBLnlX33FsdpyaqUiOlStw3m8FCQOODYf3qjFaLFTa7IhFrmkYwqqTecCFpkKFJ5gOaNVpHHNmXz0PqzWCuz2GnS6oyQkuIQN6fMwKLWupc+udwBgzcmtD1YALBkZqHv0AMCwrxhpoAp7mYnqFZkEPtCytIDFaCD/5HGqS4ooy84k89B+bGYTbftdg1lfx57F87BZzPS/5Q763HRLs/MkdZpBQcHvhIdPITLi3mbH5R49zIYfvya2ey+G3P0g4YkdW96/nFoq56aCU8D/nk4o47SkF5Tyw6x5qKy1+LbtyeOTR7mXgNxccdwBy38Zvl4a3n5sGsu3H2bP5nXM/nkm4Z368MBNQwl4sDP6nYXUrs/BnHom2xLlSsGFtWvP2GdeZvlHb7Py03e54YkXWux4AEAihXvWQcpqiOjdoDslbd8uxBLXCevwmhX1AQuAVNrwrqslvxuRWIymd9Py9d8mf8uclDlYnVa+PPxlg/oKkVjcKs2ZST0imNSjlRo+ubtcwQpA1haXo7S66QLRndV6opRycs1WXssoumjAEh4ezqRJk+qXhK5G274gCBQWFqLRaPDxadh59eSweIxWOw6nwEujExu85uPTF4lEg8OhR612dZOpOnQgdvkyLJlZeAwcUB9sztqdw5eb0gn0kDM3sA++ZXtB7gEhXQBI6N2fk1s3UZqdQb+bb2uwHZFMjLK9H+ZTriU6jwuk689i99GzNvRX5BY5T5ifQKvUourQAa/jhykN9qXOpkApOVOMrdQCEOil5PNJXVh1tIgRHYIY2fG8uhOVD9y7CTI3uYw2A862rTsRiVy/YadwLjBzCFZOyfahMx8jusKHsLDJKNsnop18C/rNW/C+cWx9sALgMSCMuq352EuOIVHUYDohQdWxQ7Pf04GVS9m3bAFShQL/iCh63DCe9tcMQRvk2mfB6WT9D1+TvG41PcfehKQZxWSttgdabY8mXzuf7ORDaLQ+jHvu1RYzNoIgoN9eSO26bOSRXvjd1g6Jl4Jl2w6xf8taxEi4ZszNDOvR/qLbdOPmcnDXsPwXU15Tx5ezliCtzsGo9OfeKTeTEBGErcxI1aI0bAV1eAwMw3t4FCKZK1OQnXyIVZ+9j3dgEEPveeiid1sAeScr2b00A423gmF3t0flIac0K4PlH72FvrqK4fc9Sofe/TGfPImyYyckHq6UuCAIOO0CElnTd2I1NQcxmXIJCLgOqbSxLP0nBz5h54GdaI1acjxz2PrA1ss/WK3BVA0/XQcVpyGwAzyw3RW0NcGmSh2vZxTiLZXwc8eYS+6WuRr8+eef7N3rUoIdNmwYAwYMaPC6zWYDTBw9dh+1tQcJDb2Fdm3fRWfV8duJn1FJYGrHR5BJZJhOVOKss6LuFtgg4Oz0xjqCvJRklOnpFqll6R1x4BHYoj7M+QiCgKPKjMRbgUja9O/ima3PcKj0EJVmV2BzfNpxBEHAePAgxaVFaBISCHFkuJbuEm9s9ju6GEZjNoWF89B4JBASfM4NvLR0NSdOnnNSHjI4vT6waQ5zShrZ48+ZFsZt24YsqOkg9sDKJWyf8wtPz1vZbOt2RX4us559hOseepKO1zZtLNsazAY9Pz5yF11GXM/A2+5sdpzTaKNqURrmlCo8B4XjNSIau+Dk41+XYsk/iUkVwBP3TCEsQHvZ++LmfxN3DYsbAAK0nrzzxJ0s3nKAg9s2MGvmD0R16ce9Nw4m8MHO1O0oQLchF3PKmWxLpBcxXbpz69sfs+GHr1nwxouEt+/ItVPvIyimTbPb2b00A5vVSd6pKma9uJsHv76WoNg47p8xCwQBp9FE1pgx2M94SsVt24ZNpWX5Z4epLjES3yOQEfc2DIwqK3eQfPRO14OU5xu70OrLGb93C/pKV/dDtD4avV7fyFPoLKuzVnOw5CBj24ylW9BlWterfODhvS5PmmYyK2cZ6ufFUL+/OXh22CBrK3hHQGBjwbPc3Fy0Wi01NTVs3LixPmARBIFly5Zx7NgxgkMKiY93OSsXFS2gbcIbvLP3HXYU7sBgMzA//Q9WtJlD9cI0AGpWZhL+wUDOTMTwaBlLU11LPs9e1xY8L622RiQSIfVTtTgmUB1IldnVddbBr0P9+zQ9e3JOTSixyfdeCmp1DPHxLzd63tOzIxKJBw6HvtVziaQXBGwtxG+CICBXqVvUmfGPiCK+Vz+2z/mF6KSuLRbHtrSdTT/NQBCg2+gbmx1nLaijcm4qTqMdv6ntUbX3I6+0iq9/noPSXIlHTGdeu+NGJBL3EpCbq4v7F/Y/wMTBPXnq8UdBG0bR0R28+PEMsksr8Lo2gqDHuyJSSCifcZTatdkINicBUTHc+vbHXP/4c+jKy9h9Riq8OULaaOsl0fuMi8ViNCI4nYhEIkRiMfaS4vpgBcDyza3kbttPdYkRgPSDZY3mNFuKaPGsnroaz8pTiOr7UWh2zTylMoWXdrzEkvQlTPtzGuXG8hY/T4uIxRcNVv4xlt4PcybCt71dXSwXMGzYMORyOTExMTz77LP1zxuNRo4dO4ZMJqOyxBNTZQCCAApFMCKRBNEF34PTaG9w5qj45QSCQ4BtH/Jp9ng2yp/l+KCD9Gvj73Jz3pJP+Q/HMBxp/D1fKtlGC8PbPsQTfT7kjYFf8PPI2X97/Y9aHU2njivo0nk+g689XZ9dceitGI9X4NA11g5SxMcT/t0MfO++m+gli5EFNr9EWFtW0mRX2oUMu8/lobX847db5WN0PoIgsGvBbFJ3bWPEA481qaorCAL6vUWUzTiKWC0l6PGuqNr78efe43w74zvEFh29Rozj+TvHu4MVN38L7iWh/zEWbNzHkZ0bEeMkrtsA7rxhECJBRN32fHQb85D6qfC9OQF5hKvOZMusH0nft5v7vvm52fVtwSlQmqND7SXn4Krf6t157/7yB3yCQxEEgfLPPqdu1WK8/PMI6FiH3uHLUscc6qrMhLX1YdxTDf11nE4LmZmfYjLlERX9EN5eFwhuVWWh/3YwFXYNh5ztecN2K8ffn9Dk/mXVZDF+5Xicgiu42X7LdnyUl+5e/a9neg9XC01VJvhEwxNHW/U2QRBYuHAhpw8fQJ17GpEg4B0UyD1f/oRIJKLWUsuclDloZBpua3cbUkFC9bJ0DHtyECw6RB5BBD3aFfnm26AyC3SuFnTeqMVaUEfZ18n12wp6ujuywMsXD1tfUUs3Lw16h4M6u4M6uxOL0/W9Zhgt3BPuj/hytGwugbVr17Jv3z4A7rrrLqKionBaHZR8chDnmWAl6OnumJR2tm/fjlQqJVQhoaaogE5DRuAT0nRtDrjqU3545C7ie/VjyF0X74ory8li6fuvI1UoGHH/Y0R2vLgwnb66ii2zfiRtzw4G3nYnvW5s3MbttDioXpaOKbkcTZ8QtDfE4hTB53NWo8s8jEnhw8N3TiEm9NIyaG7cXIhbh8VNi5RU1vLVrEXIdQWY1EE8NPVmooP9sZUYXLUtxXo8B0XgNTSSgtMnWPjWy0x+62PC2racZhcEgc9vuxHvgCBqSotp06M345579dyAzC3w+7j6h85Xq7FZHCjUl1ff8e6KQ6w7cIo8uy9yiZi0d0c1O/ZAyQEOlR7iuujriPE+1zV0uuo07+57F7lYzuv9XifC8/JMNM2WEjIzXIaHbeKeQ6n4B8TEsrbClvdcwcr1n7o6Xy6B3Uvms2/JPJwOV8FqS0Z+ppOnyZk8GWxmRGp/EvZuRVxyAP541qUFM+FH0Ebi0Fko+eQggtUVVIS82geJpunvu6JiC5lZnyAXgogVvYhnxxjEF/w2NlXqml1q21ypY8gFr2WU6dmZXs6gtoGNtVea4IjOSKHZynB/LxTNZOw++ugj1Go1FRUVBAYGcu9d93NqfS7+e4rqxwjXB7Jg3ypMJhOCrhpNXlr9a0/PX9Vs8J9+YA8rP3mXW9/+hNCEln2MzlJbVsqarz+l6PQport0p8OgoUQldW2gUGu32SjLziR11zZObtuIRCpjyN0P0q7fNY3ms5UaqJyTgqPG4jIu7BxISWUtn/80B5WxDGloIs/fNQG5zF1R4Oav4w5Y3LSKuev2cHzPZkQIJPS8hqmjBiASoG5rAbpNeUgDVGgnxjH30+fR+Pgw6bX3L6rEumXWjxxeswKAe76aWd/ZcBZbwQFOFO4htsMteHs0LY5WVVVFfn4+sbGxeHo2f9E1WR3M2ZeLWCTitt6RKGWt8/A5nyc2P8GximNUmFx2EU0puVpNdjb9lkJNqZHeY2OJ7RLQaMyplBepqNiIzVYNwJDBGfXH6kRhLU8tSMZgsTP9tq50j/qHlpQcNpcqbl0J9Hu0QRs6gKGmmgUfvkthXj7bffoR1bMfM6f1xGG3c2LLemwWC0nDRiJXqqiaM4fSd97lrNNlYmoKFosFvV6Pr68vNpuN3bt3Y7fb6Z3YHUmZDUW8FolH85o0e/YOQ7A5MNnykFi8iNv2FWHvD2jwmzsblKSW6PhpRzYxARoeuKYNErGoUcBSZbAy8MPNGKyuAGzj09cQF9j872lzpY7bjmXVP25OpXf37t1s3rwZmUzG/fffz+FVJWQcKCVCBJEqCVGjo/khZyu1eTmIzwR/nikH69/fUsCy+dfvyTl6hLs//67Z/WwKQRBI3bWNI+tWU5zm0tPx8PFFrlLjdDrQlZfhdDjQ+PjS/poh9Bo7EWUT9V6GI2XULE1H4qvEb0oiskA1Ww+nsnblMiQ46HrNCG4e0nTXnhs3l4O76NZNq7jtur4UdG3H178tIufAZl4+lcLDU28mcmgkykRfqhelUTHjGMN63MWSVe+xf8Vieo+7ucU5B0+7jwGT70AqVzQ6KQuCwD3Hp3Ok7Aik/sjs0bPpHNAwhV1XV8d3332H1epKrT/zzDPNBi0quYR7B8Y2+VprSQpIYnO+Sy/k+timDRTT9peQlVwOAqz97jiPfDek0ZgaaSyZNi8iqMZk9OT999/nxRdfRCwW8+OOLCr0FqqNNibM2NPIqNFQayF5Qx5KDxldhkY22zX1lzn0K2x5F5x22P99I88hjdYHw7AH+G1zOjaHQHqKq+bkwMol7F40B8HpZNvvP/HMgtV4jRqFbs1azCkpBD75BJWVlcycOROTyYSnpyddunRhz5492O12du7cyYNiCbo//8Rz+HCC33gdkUiErbCQss8+RySTEfjcs3h7d6e4eDEAflmNi0ANdgfqM7USj809gtHqYNGhAg5kV/HLXY0vogaLvT5YAajQW4lrobs8y2RBIoJmjJTr6devH3379q3/fTvtRYilYrJNdvIB/z7BbM6S0fNMsKLy82fkw09RkZ9LpyHXtRj015aW4H0ZCsAikYjEAdeSOOBaakpLKMk4TWVBHjarFZFIhHdgMAFRMYTEJyBuQjtIsDmpWZWJYX8J6m6BaMfFgVTE9AVrKTu1H6fMkzvvuJXEqH+Pj5Ob/z3cAcv/OOGBPnzw7P38tmYHKfu3MWPGt3ToPZjbR/Un8JEu6LbkU7clnxvbP8GWJXMQiUT0HHNTix0MMkXT+i1Wp5Wj5UcJUAVQbipnZcbKRgGLXq+vD1YADAZDi1mWv8rdHe+mV3AvZBIZ7XybTsEHRHm5zBibuZJtqdRxe0EvHKJeBJtKGXdwN2DF4XAgFosZlBDAimTXcsGtvRovOW2dnUpJlg6zwcbJ7UVMfa9fwwEOG2z9ACozoP8TEHaZXU4ylStYaYEbu4SxLLmQrHIDL45yHQ+71YJYKmVb2yKyQ41k/fkYg47egSXmYYa8nohvgg+HDx/GZHIVXtfV1SGRSHA6zxVEV8+dC0DNggV4DByA57BhlH36KYb9B3BUVFC7fDmJKScICZqI7aAdsYcXHveFNbi4F1ps9arB3ioZuVWuou3oZpZ6InzVfH5LZ9adKGV0Ugh9YlvupLk12JdUvZkCs5VnY1pe0tNb7Ly6/ARFtWaeHNiGjr5KZHIxXYZFYhZDdlx7Srx9cYjE/D60Lx28Lr4cZTWbyDtxjL4Tb73o2JbQBgU3ymy2hL3SROWcFGxlRnxuikfdM4jqOiMf/zgXRV0hksA43rr3FlT/gtZ8N//buJeE3NSTW1LFjN8XojSUYPEM47FpNxPqr8VaqKdq0WlsJQZOVu/C3k7C9U8822LQ0hyzT81mTsocOgd25u3+byMTNzwJCoLA7t27ycjIoEuXLnTufHnutoIgULs6C+ORsnqfk7/i46KrNKGvshDcxrveZ+cs72UW8WNBOaYzMvEP71hJ7969GTFiRP0FN//MxTXCt3HB6Z8/HCf3RCV2q5OASE8mvXyBUV3yXFj+MHDmT7UVbsxNIghwbAHUFUO3ac12Ozl0FvQHSpAFqFF18sdusbB8+Xe8ZfmpfsyorHuIKnUJ8z3y3RCMRiMLF/5EUWEpA9t3p/d113HgyE/YHbX06HQvJZPvxJqbC0D8rp1I/fwo+/RTKn+cCYAyKYmYhQta3P3tVXX003ogFYuo1FtYdqSQGH8NQxNdS4urymq4zt8L+d+gsDpzRxYfrE3FfuY7vzBrlm+2sqOqjv4+HkSpWicCuH/FYnbO/417v5p5WT5Ll4PpRAVVi9MQa2T4TUlEHurB3pOZLF28GJnTSrveg7lj9ICLT+TGzWXirmFxc9k4nU5mrdlB+sEdOBHRpd8QJo/oi2B3otuch25LPjXmEixdRfSYehGTuH8Qe5WZko8O1D/2uSkeTa+rUwhbYLbyyKlcSiw2PmobwSDfS8sImQ02Tu4oRKmRkdg/tFFARMYmmH3TuceXG7C0kqwZybzgZyfNQ8xjTiW3jmzL3KO/krX4UwqlIo60EXH7kVdJTD+KylpFfCcvpE935nT664CA93wJmu0Syl614giUo9RF0WvoEmz52SgS4uuNAQW7nbqNmxDJ5XgMvvbi9VGVOga3oG1zSm+iymbH6hTO+mk2QATUOZwM9vXEU3rp9U7nsyO9nDt+2l//+MKA5VKpLMxnzktP0WnodQ1Uoa8WgsNJ7doc9DsLUXXww+fmBMRKKT8s20Re8i4sEjVTbp1El/jIi0/mxs1fwB2wuPnLZBdV8N3shaiMZVi9wnl82s0E+3ljLaij8KcDiI1iqgOr6Pjo9Uivgoz8X0WwOyn7OhlbiQGAkJd6IfH+9+1nq8neDpWZ0GG8y5zvEqk12pBLxajkLVyo9WUwewLzhVCebPdS/dOjtFamfvUAwXvMABwITOC1fvfzWK0SpeAKMnpO/BirshaL1eWOHfqwHFNPCd4J/4fC4GrjrbvHm8T48+wSdMWQvs5l6xB4caG31WU13BCovcRP3pA9NXo6e6rra2H+CqeKdJTqzAyI90f2F+arLili4Vsvo1RrmPzWxy2aDl4J7LUWquamYs2vw3t0DB79Q9GbLHz4wzykNbnYtVG8cP+teKovYs3hxs0VwB2wuLkiOJ1Ofl65jazknTiR0P2aYdw8pBeC3Un6D5tQ5soxCLXI+vgQdX1vZIqLuxL/XeTn51NcVEy8XxTaqABEV6uQ9T+A2XtzeW3FCZwCTL+1K2M6hzZ43Sk4OVV5iqC0zQSsf5U0dRQju32HUaImqe40byZ/jGaTgzqzHN9al0HgqHGfcINeRqLdVQZ3w+Ol5FZ+it1Si+90GeJSLw7f1ZFh2dOwi0AqwIyghaT7deGnSVPxlAFfdjmn2XL7EohrKDGvtzvYVl2H+swSjwCN2pZbwmG3YdbrG4iiXSxL83eTsmMLG3/6FrW3llte/+CyFGsvBXNaNVULUhFJxfjelogiyoujGQXMnjsfhcNIZJf+3D9+6FXdBzduzscdsLi5omQUlvPD7wtRm8uxaSN5fNrNBPl4UnYwjYqlKXg5fTE7DNRqqnFEihH5SdH4+pLYf9Bl1bm0hNPhoDw3m6DYuGbHFBYW8uOPP9Y/fu211/5259iqqt2YzQUEBo5u0gfp72T8t7so01korHEVxV64fPHKzldYmbkSgA9rzYyuKiNd3oP1wZ/xoPNFylNSqdkWxcnISDJR8GvMdZh8NTyZm4rIrsJuPsDjs75DKnPVIxUXF/P9999zKDyObs42jCp2sNtfyi+a+zCXjCNCNpTNj/aAD6NB4eHyaBrxrqvV+jyO1RkJUcgIkF96saeuopx5rz6LvqqSgMho7vhoOiKRiFyThUyjhQqbnUnB52p4rPn5lL7/ASKJhKCXX0IW0nI3jFmvRyKTNltg3hqqigr55akHCIlvy4SX376qmRXBKaDblEfd5rz6mi6JRsbva3aSum8LNrGcmyZOpE+H5i043Li5Grjbmt1cUeLCAvjg+Yf4cfkW8o7u5vMvp9Ol32AmDetNYI8Eyg+no9uchk9lAPI0BXX2anLq9pC3+xDXPHgvam/tFdmP2rIS5r32PIbqKu775he8/BvroYCrs6g1CA4BS1YNEq0CWcCVu1hUVGzm6DFXHUJK6kuNfZD+Zu7sF82LS1z6MvPu69Po9X3F+4j2iiZHl8PXYXGMvnMb8V6hxAOs6URwwW4ccVaCq2DHkFuI6FbHm4Eb6JrwGdXFRQRG34dYcm6pyc/PD29dJQlHS/hpTALfx6sQO62Iq95DUifhwfFtXIHKzb/AkdkQMwhL15soK/gNb68ueHm5lo0qrXY6eZzzFTLVWVn73XHK8+roNTaWrsObr6/IP3kMfZXLHLE8L6e+PiZKpSBKpWBzpa7B+PIvv8J09CiOykrqNmwgMTWl2bmPblh7xoPHyehHnyFx4OAGrx8rP8Y7e99BKVXy3oD3CPcMb3IeT39/RGIxHQYNvarBikNvpWr+aSyZNXgNi8JzcARmm50Pv5kN5Rk4vUJ58b4p+Laik8mNm38Sd8DiplWIxWIeuGkop3t05Ke5i0ndvY4XDuwjsVNXxg/uSftu8a4AILMGdXIZHsd8EFVDxlsbELVREjG6O9ro0EbzWowG0vbuwlhbQ0zXHgRERjfIyjgdDooz0ji5bSOntm3CYXe15Vbk5zQbsMTFxTF06FCKioro3bt3s9mVqkWnMSW7fIW8b4jFc0BDyXRBEKhZnoHhUBmKGC/8p3VAJBW7nrfU4K3wRtyES6/ZUoLLbMfZ6LV/ghu7hHFDUihiEU0Wtj7b41mmH5lOn5A+fHrtpyA/7y5n5PvUBPVmj+9RShzBTOnrJDzKm+Dg7xCJRAS3iW80n1wuR20xEOQUeHD2x8ye+Ai+gYFkieUEjpYyqceZ1u7EMZA4BkFwcmjPUEzmPAA6tP+c4OCxCDTc38zDZRRnugqOdy/JaDFgienag8CYNpRlZ5I0dCSCIDSY68KjoGgTi261S9lX1b17S4eTUzu24OHnR11FOWu+/rRRwPJt8rdUmispM5YxaumoJsUIAWRyBQqNB+ZWBtiXgyWnlsq5qeAU8L+nE8o4LSm5xfz8+zyUtjoC2/fmkZuv+9szkG7cXA7ugMXNJdE2MogPnn+IZdsOs3f3TvIOb+HTQ9tweIXQtUsSYwZ0wzfBB+24OGoPF1C3QYcmV4NuRjo5zh3ovXXovQzYnBaqiwqoLMjH6XTpleyc/xtKD088/QNQqNWY9Xp05aVYTSbU3lr6TbqdzsNH8/OT95N3PJnYrj2b3EexWMzAgQMv+llsBXqk/irsFSb0OwsbBSyOaguGfSUAWNJrMBwqRdMrmMe3PM7W/K0AbJm0BX9VQz+V0JAJmEx5mE0FREc/dOkH+QogOAUsJjvKMzL4khZaukfGjGRkzMimXxRL0HafwMTuTfs0NUd232F4rVuCIJZgU6nJMrm0de6PaNyuKwhOrLZKFPIgLNZSDMaMJucMjfdBrpJiNdnxCmjZ0Vnt5c0dH3zpMuFsxcXY78EHUXZKQiQRo+7TOAt1Pt1GjWHdDJe55M2vvtfo9e5B3dlVtAuAKYlTmp1HEAQcNluD7NSVQhAE9DsKqf0zG3mkF363tUPipWDR5v0c2b4eMRKG3ngL13Zrnfy/Gzf/Btw1LG7+Eqdyivlj2z7Kc9NROw1YkSLxi6Bfj66M6NURiUSMuaqOgrWHcWaaUBnVCDiplpRj9DOhbOdLXO8+qLy8KU5LoTD1FPrqKixGgyt48fMnon0ngtrE1St0bpv9M8c2/sn93/6CQn3paWyL04lcJMKSXkPt+hykvkp8bopHrGwYvwsOJ2UzjmIr0AMQ8nJvqmU6Bi8cjEKiwOKw8FjXx7g/6f6/fiDPoyI/lzXTP8Gs1zPq0aeJaN/pkt5vMdpY8vFhqosN+ASrmfxqL8R/s5vuo6dyWVtRi8HhxE8q4ev2UYQp5SRomq75qKraRUHhXLTe3YmIuAuRSMTGSh3DLiiQtZjsmHRWvANVF22Dbom/WnwrOJ0gEjW5D4IgkFKVgkqqauBbdSFVRQX88tSDTHjlbaKTujY77lJxmuxULUrDfKoSz0HheI2IxuZ08NEvS7AXpWBSBfLUvVMI9vO+Ytt04+ZycRfduvlH2Hsyk427DlJXlIUKCyYUeITEMLRfT/p0iEEsFuOotWA8Vo4xuRxboR6RQoKqgx/qLoEo2mgRSS5+EdJXVfLTk/eT0Ls/Ix9+6pIuXG9nFvFtXhkCsK9P4kVFvQSHgL3ShNRPiUjiWg56ZecrrMpahZ/Sj5XjV+Ilv7K/ufU/TCdtz04sRtdSQUsmhE2Rc7yCP745Vv/4ro8GoPb6ezu4am12fiqsQCUSMV6qxtdPhVwpZUd6ObP35tI9yof7BsYiEonYVlWH84LTkE0Q8JJK6KO99IJlw7791K5aiUe/fniNHt3odYcgMLe4krALutrOarfIxSI0EgkaiRiNRIynVILXX9RtaYr9Kxaze9EcHvphzhWrYbEW1FE5NxWn0Y7vpARU7f3ILqrg21/noLJU49WmG09NuQHJ3xzAunHTHO6Axc0/isPhZOPBU+zafxhbZR4K7BjFavwj4xl9TW86xrpqWWzlRkxHyzEeLcdebkKskaFK8kfdJRB5pGeLgcip7ZtZ+81n9Lt5Cn0mTG510BK59SjhSjlZJguDfT2Z1/nyuiJsDhsyydWRKk/bu5NVX3wIgkBCnwGMeerFpgc6nXB4FlRnQ497wCcKAKvZzoovkinL0RHezocxj3dpLEb3N/HnD8fJPOyqE7rxma5c9/s+vFQyimvNPDioDS+OatdktuPCmpPW4jQYSOs/ABwOBJuNkA/eRztu3EXfZ05Lo2b+fBQJbVHfPBGjU8DgcGJwONldo+euMP+LznGpbP71e07v3sH93/6CRPrXfkuCIGDYV0LNqkxkwRr8piQi9VWyelcyOzf8AYgYdN0NjOqbdNG53Lj5O3F3Cbn5R5FIxFzXuyPX9e6I2Wpj9c5kDicfpTb7OItzjjJL6k1kXDtuHNybyGFReA6NxFZkwHi0DFNyOYY9xUi0CtSdA1B1CUQWrG508Wp/zRB05WXsWjib6uJCrp3aum6k20P9+LnQ5cz8ZlzYRUY3z9UKVgAS+gzgvukJOBx2fIIbFyrXc3IprH7S9e9dX9Yr4MqVUia+0B2nXbh6RoqtQBAEso9V4B2oorbMRPK6PAI8FeRUumwKEkM8sTsFJOd9tzU1NUgkksv3j5JIECkUOGtdx0LSyhuYgkceRbBYqJ47D21KCiFvvoHPma+4yGxt+c2XSdKQ6ziydhU5Rw/Tpnvvy57HaXFQvSwdU3I5mj4haG+IxSmCj35dhj77KE6lH4/ePYXIoH/IJdyNmyuEO2Bxc1VRymVMHNKTiUN6UqM3smzrAVJPnqQ8ZT8zU/ZhVvmT0K4DNw3phe/oWLxHxmDN0WE8WobhQAl12wqQBqpRdwlA3TkAqd+5Yss+EybjFRjEll++J+vwAToOHk7HwcPxj4hqdn/eSwjn+ZhgPKWSBhfKv4vs5ENs+nkGPcfcROfhjZcrztIqL5kW9l8kEiGRXd7ns9ts5B47glQuJ6xdh3p9lbMIgoC+uhKFSo1c1fxShkgkoveNsRxel0tglCfD725PL4eDdSdL6RKupVO4NwaHg7PJn0OHDrFq1SoABg4cyNChTQuYGQ6VYjpZifpMNu58xEol0XNmo1u/Hk3v3si7ts6LSqSQ46iqAkDi3Xxth83i4Pi2AsRiER0HhSGVNeF87BQw7C/BabDh0TcEsbrp4NYvIgoPXz8KT6dcdsBiKzVQOScFR40F38ltUXcJpKiihi9mzkFlKkcZ0YFX77wJ2VVY0nLj5u/GvSTk5h+hqKKG5Vv2kZ2WisZWjV0QYfcMoUtSJ8Zc0w2NUoFgd2LOqMGUXIbpVCWC1Yk8whNVZ1fwIvF01SAYdbXsX76Ik1s3YjWbmfrRdPzCG7si/1OY6nTkHk8med0fFKaeRKnxQCQWc+dnM1B7/YXCR0Fw6ZhUZ0OPu8G7ab2Ppt8qsOHHr8k7cRS/8EiUGg8Ep5OakmIq8nOxWVwy/FK5goCoaNTeLrVYY2011cVFmPV1xHbryfgXXm92G38cK+b5xUcxWB3Mv79PA7dku9NOiaGEUI9Q1lXoGBWgZd68eRQUFNTr6LzxxhsUp59my28/olRrGPHA4ygFNSUfH6yfJ+CBJBQxjY+hwWbg/g33c6z8GIMjBvPF4C+abEE/i62wkJply1G0TcBr+PAGr52/ZLV9fhqndhXhsDkRS0Q89M3gRnPV7SqkdnVWvZlR+AfNd6wteuf/UKo1jHn6pWbHNIfhSBk1S9OR+Crxm5KILFDNxoOn2LB6BWIc9Lx2FDdd23KLths3/zTuJSE3/3pC/bU8fPN1wHWczitl1dZ9lOamkbp7Hcd2b0TsE0HfHl0Z2acTqna+OK0OzClVGJPLqF2bTe0fWSjaaF3LRh39uXbqvfS7+TZmPfcoW2b9wISX3/pLXSSXgyAIHNv4J/tXLEYqlyOVyTHW1boEzASBkPi23Pjs/xHUJo7fX3iCtV9/yrjnX0Mivcw/Q5EIut1xWW/dt2whxzeto+Pg4eirq6gtKwFEaENCie/dj5iuPXA6HOQeT6YyPw9jbTUAvqERxHTpwe7Fc7FbLS1u45dd2WjVcgxWE5N/2FuvsGuym5iyZgrp1ekAzBu3gxS9iX79+rFs2TI0Gg2TJ08GYMe8WegrKylOS+X7h6bx5M/LEMklCFYHAGKPprMX+4v3c6zcVXi8JX8Lepu+2eJop8PJrm16Sqp7kKSOoH0Ln8npcCIWi3AATkcz93oOAcQi1/+vAoLNSc2qTAz7S1B3DUQ7Pg6kIr6Y+wdVpw/ilHtz77RbiQ8Puirbd+Pmn8IdsLj5x2kbGUTbqWMB2J+SzYadB9AVZXJgQw47NvyBOiiawf160L9THOrOATiNNkwnKjEeLaN6aTrVyzNQtvVF3SWAIVMfYPmnb7N36Xz6Trj1kvelPDebJe+/jldAIKEJifiFRyCTK1B7+xDevkN9a/X5CIJA/slj7Fu2gLwTx2jXfxBqL2/sNitqby3aoBAiO3bG0+9c4ebox55l2QdvsPzjtxnz5AstLq1cSRx2GzvmzuLQH8vpO/FW+t3cvE4IQGB0bJPP11VVUJbdsoLvuK5hvLbiBADPdY1i/cwTJPQOxhBSWh+sABiNaZRJEhgVGcmTTz7ZYI7guATyT7oCj66jxiDRyAh8rAuWjBqU8T5I/ZvWY+ka2JUoryhydblEekailjZ/fAtSqzm5vRCALb+nEtPZH5VH011VfW+KQ+UpRyQW0WVY01k8j36hIAg4jPZG2j4XUl1cSEKfAS2OOR97pYnKOSnYyoxob4pD0zOYilo9n/44F6WhGElwAm/fczPKy7AzcOPm3457ScjNvxKn08mmQ6ns3HcIa0UeCmwYxSr8IuIZNbAXSXGu5Q+HzoLxWAXG5DJsBXpEcgl6zzoOnvyDiGFd6T/5jlZnMHKSD7Hm60/x8PVDGxxCWXYmtWWl9a8rNBoi2iehDQ5B5emFxaBHV1FO/sljGGqqCYiOpf+k22nTvVertpd7LJmVn72LXKXmmtvuJKHvwMvPtlwEu9VK5qF97Fowm5rSYq694x66jb7xsuc7uGopuxbO4eEf5yBTNu+nU2O0oi8zseKDQ/XP3fJ6D95JfY1NeZvoH9afr4d8jUUQsaNKz8iAhss7giBQePoUCrWGgMjoFvdJEAQK6grwU/mhlqmxO+3UWGoaCftdSF2VmXlv7cNmdmVtHpg+qEFtyuZKXSPTxYzqDF7a+RI6i473Br5H96BLX3o5q8My9pmXie/V76LjTScrqFqUhlgjw++2RORhHuw6ls6KZUuRClY69h3Gbdf1veT9cOPmn8Td1uzmvwqrzc6qnckcSj6KqKYQmciJQepFWGxbxg3pTXSw64JkrzBhPFqOMbkMe7kJi8NIubiIgGsSiLmuD+JmCg8rC/PZv3wRp7ZvJrpzN0Y/9iwqT9fvyG6z4bTbqCzIJzv5IPmnjqOvqsRcV4dCo0Gj9SWsXXtiunQnvH2nS16Gqi0rZdvvP5G+fzcqTy/a9OhDYHQMnn4u2wFDTTWVBXn4hUeQNHTkJZlJVhbkcWLrRqoK8yk8fQqLwUBkx84MnnYf/he5+F+MmtISfnr8XkY9+gztBzau4zgfXaWJOa/vxWl3nWru/KA/Gq0CQRBINZjJrzNjTqsmSiUnqUcYostswX5rz1ssSlsEwMwRM+kd0vpCVkOthcpCPaFxWqTyc78Ts8PJ9uo6Bvl6Ij9PKO6N3W+wPnc9ddY6gGbl91ti3XdfkX3kAPdO/wmpvHmdHMHhpPbPHPQ7ClF28MP35gSQi/lh2SYKj+3GLPVg6pRb6BTb+homN27+LbgDFjf/tegMZpZvO8DJEyeQG8oQIWBW+hHXrj3jB/ciQOuJIAjYig2Ubz2N+XglCkGFyWnApDGCvxSRvwyzzIiuppyCU8epyM/Fw9eP3uMm0Xn4qCvuMN0aynOzObl9M3nHjlBZWIDT4fJMEonFeAcEUVNaTFRSV4bf9wjegcEtzuWw2zm6YS075vyCQqMhMKYNQbFxtOs/CL+wK1eMvPSDN6gsyOPOT7+9qGtxWa6OovQaIpL8yFJAjc2OSCQiQa1Aszwb08lKBLuDqmAbYbd3xt/fFYTuWvA7R/5cjV94FCOS7saSUo2qkz97+gewoUrH2ABtfUHsNfOvQavUkl2bTYJPAkvGLvnLn9EhCBzRGTE7ndic506VB0sP8n3qGsT2CsYE+rk8mC6BnORDLPngDQZPvbfFTJe91kLV3FSs+XV4j4rBY0AotQYTH/04D3ltPg6/GF64dzIeFxFAdOPm34o7YHHzP0FJZS3LtuwnK+0Uaks1TkTYPIJJSurI2Gt64KFSIDgFSnafpGpfDuJyJ2rBC4lIgiAIGIU6bB52VFE+BPdujzLCG4nmn1/7d9jtWAwuOwC5WoNUJiPn2BH+/OYzjLpa2vYdSHyvvoS164DayxuRWIzNaqEyL5eco4c5tnkddRXldB4+mkFT70EmvzoXs+riQmY99yhtevTh+sefbbK+53wEQeC9rGJ6az0Y7OtZ31Ze8etJrPl17LGc4rg0D622CO8kFaXe1yH76FsUGk9UNiXXhd0NQKFKxLhrPM424bCuRwKRYilvbf+B3VVz8FF689uo3whUn2l5rsoCmRo8Lwj0DBWg8ARpw+Njc9iQiqWNsmXmlBQcujrUPXsgEov5JS+TQd4SYr2jL+m4FaSeZPlHbxEa347xL7zebIBsTq+man4qIqkY39sSUUR5ceh0LgsWLETuMBHbfRB3jx10Sdt24+bfhjtgcfM/R3pBKau27qc4Ow2Now4rEsTacHp178LIPp2Qy1y1IYLdia3MiK1Ij7VQj63IgK1Yj2B1OStLtApkoR7IQzWu/4d5IPaS/+0dR01hM5s5vmU9R9evoaqoAACxRIJEKqtvQ5arVLTp0YdeYyf85WWf1pC+fzerPvuA+N79GPHA462SmK+02jlW5xKPEwDBaMN4rILthQcxS634RW5nY9U47l69Ap8KqNKKqaWaWzo9i1Brp1wh4sbBnljPnLq292rHc78c5HhhLU4BXhmdyH3XnCkW3vUVbHjV9e9hb8CAp1z/3vQ27PjE9e87/4BoV+Hrpwc/ZdbJWUjEEtbetJZgjSvI0f25jsIzBcHS4GDit25hU6WOoZfgR+Sw2zi8ZiW7Fs4mNL4dY599BaWmsfWA4BTQbcqjbnMeingffG9pi0Qj45fV28g4sA2bRMmkmyfRIzG61dt24+bfylULWGbMmMGMGTPIyckBoEOHDrz22muMGjUKgJKSEp577jk2bNhAXV0dbdu25ZVXXmHChOadXt944w3efPPNBs+1bduW1NTU1u6WO2Bx04BDqTms23mAmsJM1IIZC1KcKl+8/QKIiQynW7tY4sMDEJ+5sxWcLr8gW6Eea5EBW5EeW5Eep9G1LCPWyJCFnRfEhHog8VVedq3FlUBXUUZpZgaG2hrsVgtqby3egcEEt4m/aoW7zZG2bxfrZnyBV0AQk9/86LJ9cXJycli3bg2q2KWszLqd4AILUm8d+BfSsfYooTHe9BJ88DM7OdLrGbaKArnO35sOHip6v7cRb5lAfqWBoUmRfH1bN9ekv1wP1TmgcwV4Z9WA+TQR5BqoTAevMHj6FE7BSdffuxKiCaFQX8iwyGF8PvhzAMo+/Yyq2bMRTCYAElNTWhWwCE4nlQV5pO/fw4mtG6mrLKfrdTcwcMpdjQT5ABx6K1XzT2PJrMFrWBSegyMwWq18+OMCxJVZWL3Cee6+2/Dx/Hu6yty4udpctYBl1apVSCQS4uPjEQSBWbNm8fHHH3PkyBE6dOjAiBEjqKmp4euvv8bf35+5c+fy+uuvc/DgQbp2bdqN9I033mDx4sVs3Lix/jmpVFq/ht0a3AGLm6ZwOp1sT05j9+Hj1FSUITHXoMAGgBUpdoU3nj4BRESE0iUhmk6x4fWmcIIg4Ki1nAtiCl1BjEPnkmkXKSTIQjXIQz3qMzHSAHWrzBv/G6nIz2Xeq8/hFx7BuOdf+0uCeEZjDt//uRbfDXXMu8aHR4O+QIUZo06LGCOD0krxMDrOBR/A2l1H2LthFSKcdO3WjRvHutrkydwMq54ARHDbAghMdD2/51vY+LpLfO+hXRDQFoA397zJ4rTFAKwat4roM8s99vJyil97HYdOh/9zzyNp044dFhMj/Jv/nAdXLWXPkvlYTUZkShUJffrT/fpxzXY7WXJqqZybCk4B38ltUcb5cCKriFlz5qG06wnp2JcHJwyrD7TduPlv4G9dEvL19eXjjz/mnnvuwcPDgxkzZnDHHefErPz8/Pjwww+59957m3z/G2+8wfLly0lOTr7sfXAHLG5ag9PpJKekkoMpWWTlFlJdUQrGGlS4BNBsghir3AuN1p/Q0BA6xUfTNSGygaaFo87qWk46k4mxFulxVLqWY5CKkYVoGmRiZMEaRP+gn8/fSUlmOss+fBOJTMbgafcR17PvX1pK27tsJyerfyA/QsIAyXZEQEFWHF5lasZbN1P37D4cDgPeXt1Ys2YNR48exWp1BZRvvPHGxTfgdIBI3MjioNZSi4fMA0kTNTm6ChNLPj5EvsOOf4wXDz/SrdnpV3/xIaVZGQy//zFC4hOaLUwWBAH9jkJq/8xGHumF323tkHgpmL9+D8d2b8QhknHDuJsY2Dnh4p/JjZv/MP4WpVuHw8GiRYswGAz07evq/e/Xrx8LFizg+uuvR6vVsnDhQsxmM9dee22Lc6WnpxMaGopSqaRv3768//77REZGXu6uuXHTJGKxmNjQAGJDAxo8X1RRw4FT2aTn5FNZXoqxopCi8gyKju5gjSDCLPNE6eVHcHAw7eOi6NEuGq+254zknGb7mZoYVxBjydFh2F/iKtAQgyxQjey8TIwsVINY8d+n2RjcJp7b3vmUTT/PYOWn7+EfEUXiwMGEJrTDNywCiVSGVC5rtTNxn/ED2DOnlrZ109mquA7vVDGCQ0K21Ye1jm7cst+lnKtWtSEm4xVSzWJsYhHjbxpfP4fNYsZhtzdZK0IzRcLeiguyJqZq13++seSdqsJYa6U6WIbf8ZoW91/p6YVMoSCyY/MOyU6TnapFaZhPVeIxKBzvEdFYHHbe/W4ezpLTODXBPHvfFAK0l2kG6cbNfxGXnGE5fvw4ffv2xWw24+Hhwdy5cxk92mXiVlNTwy233ML69euRSqWo1WoWLVrEiBEjmp1v7dq16PV62rZtS3FxMW+++SaFhYWcOHGiWcdWi8WCxXJOFlyn0xEREeHOsLi5YlTpDBxIySY1K4+ykhKsdVWoHHrEInAKYJZokHr6EhgUTNuYCHq2j8Xf+9xF0Wl1YCsxuIp6z2RibMWGerl2qb8K2XmFvbJQj39Fh9KVIvdYMsc3ryPz4D7stnNux3KViv633EGXEdcjlrTOkO/Urq8pXRPCghATncprmOj4nSBpKnkRXqTHuPRL2q7/tX582PsDEIlEFKWlsuS9V7GaTHQePpph9z5cP+bsae9sBmhf8T4qTBUMixqGQnJe11BRMvwyGmwGqkOSWN39YawrgjkhkTKubSCDbm3b7H6v/Ow9rCYTE195u8nXrYV6Kuek4DTa8Z2UgKq9HxmF5Xz/6xxU1lp8ErrzxK2j3UtAbv6ruapLQlarlby8PGpra1m8eDEzZ85k27ZttG/fnscee4z9+/fz3nvv4e/vz/Lly/n888/ZsWMHnTp1atX8NTU1REVF8dlnn3HPPfc0OaapQl3AHbC4uaroTRYOpeZwMiOX4pJizLWVKG11SESuPyGjSIVY44N/YBBtosLpmRhLeKBP/fsFhxNbmam+HsZa5OpSOuuLI/FWuOpizgQwsjAPJP+SDqXLxWG3UVVUSE1xEU6ng5yjhzmxdSMBUTGMuP8xgtvEt2oeW6mB9/9MJab2Z8SiSsbWbEOkVZHatxttQl7C9KsdZ50Vqb+KoGe6IxKJ2Db7Z5LX/VHvefTMgtUAWLJqqZybglNvw++O9mzTHOC5bc/Vb+v4lINQcNBV13JkNmx6CwQHd4QEcUKtweawM6Dt83zXt3kfJ8Hp5IdH7iKhd38G33l/w9cEl5tzzapMZEEa/KYkIvVVsnz7YfZtXoMTMcNG38jwXh0u9XC7cfMfx99awzJs2DDatGnD888/T1xcHCdOnKBDhw4NXo+Li+O7775r9Zw9e/Zk2LBhvP/++02+7s6wuPm3YLXZOZKez/G0HAqKijDUVCC36JCJXEGICQWotfj4BxIdEUb3xBjahDbRoVRkOBPA6LEVnt+hJD1XD3MmkJH+wx1Kf5WSzHTWf/cl5fm5dLhmCEnDRhES3/aigdlhnYHlyVuZkPE7usgBGJNuJcnbkxCFnJ2zZ3F87XqsEjN3f/49nn7+lOdms/D91zFXV5E6aAxPTZ1Kew8VlXNTsGTW4DS4jvG6KWl8k/wNNqerIPu4IxzydmPRSSgtvgaRLofgpFJuSorDJteQZ7bRM7g3s4a+1+y+5hw7wpJ3X+WWNz8kvN2586HT4qBmWTrG5HI0fULQ3hCLHYFPZi3DnHcCk8qfJ+65nbAA7V8/0G7c/Afwt7o1O51OLBYLRqNLV+HC9KVEIsHpdLZ6Pr1eT2ZmZoPC3QtRKBQoFG5lRzf/PHKZlN7tY+jdPqb+OYfDyYnsIo6mZZObX0RddTm1eSmk5h0ndRdYkOFQeuPlG0BUeBidE6Lp0DEUdWdXbY2rQ8l6pkPJFcQYk8twbHO15ooUEldxb9h/ZodScJt4bv/gS5LXr+HgqqWc3LaJrqPGMHja/S0GLd28NHS75nq45vr6555KyeO0wYRnYRkj/NQYS2vZ9PMMxj33KgFRMZx+/C02ltdS5RRYdeA0JYO7oOrkj+lEJU5BwGNwBJPbdSOlPJe82lJe7PkI/DwYvMIp32nAXJuNo85KRqaWV7p0ZYXhEO2jpvDRgPub3U+nw8G2338iOC6BsITE+udtpQYq56TgqLHgO7kt6i6B5JVW8fXPc1CaK9FEJ/Ha1HH1nWpu3LhpyCVlWF566SVGjRpFZGQkdXV1zJ07lw8//JB169Zx7bXX0r59e0JCQvjkk0/w8/Nj+fLlPPfcc6xevbq+zmXo0KGMHz+eRx99FIBnn32WMWPGEBUVRVFREa+//jrJycmcOnWKgICAlnanHneXkJt/O06nk4zCcg6nZpOdV0BNZdmZDiVXfYdNkGBVuDqUIsJC6RgfTdf4iHrBO3BpdFyYibHXdyiJkAVr6jMxrg4lNSJZ6+pE/ikEp5PDa1ex9bcf6T1+EgMmT231e0ssNrrsPokIV33z6E2L6ZCeTLtnppIrr2Bsm7Fsr1Px9Ol8AEZpVYxMS6a4uJjubfuSvsmKSW8jsk8QT6fnYjtTX5QxJh/drG+pypdjyzYAUOHbnmNJj5AYOAcPbSq9nt7V7H4lr/uDzb98z5T3PiMoNg4A4xGXs7jEV4nflERkgWrW7TvBlrUrESHQb9j1jBnQ5bKOoRs3/8lctQxLWVkZU6dOpbi4GG9vb5KSkli3bh3Dhw8HYM2aNbz44ouMGTMGvV5PXFwcs2bNqg9WADIzM6moqKh/XFBQwK233kplZSUBAQEMGDCAvXv3tjpYcePmPwGxWExCRBAJEUENni8oq+ZAShYZOflUlpdhLC8gvyyd/CPbWCWIsMi8UHr7EhoSSvs2kXRvF41Xwrm6GFeH0rkgxpqnw3CwBJyAGKQB6nOZmNAzHUrKf0+Hkkgspvv1NyI4HWyb/TP66iqG3vVgiw7QZ/GWSghRyCipMCI/UkmychDXvTiSF489BMCMozP4c9irfCz6GacA7e1P8UdKCgDJu/YiNnUAxOTtLcWmFVyqux5S0k9IYLeASWKnKiCITX0mU6kNQ22Xke+YzAe6iS3uV+HpU4S2bUdQbByCzUnN6kwM+0pQdw1EOz4OpCI+m72SmvTDOOQ+PHTXbY0619y4cdMYtzS/Gzf/Mspr6jiYks3p7HzKSkuw11WhdBjOdCiJMEk1yD19CQoKpl1sJD3bxzZQPhVsDmwlxnNBTKEeW4kBzrglS/2U9UW9Z4MYiUfzbsF/Fye3bWLjT9/iExzKxFfeRu2tveh7vsop4aP1aWiyqrDg6rKaXPc8a3qKEEQivo8PxKtKh9FRSm5NJCczByNTWOmSuIfU7a+gkyvZl6DgmNJBkkjGXUnh+O9dT8HGTajqdPjqavj05kgGZk8ixEvJ5OtrUXUd5VLJbYbfX3gC/8gohk9+iMq5qdhKDWjHtkHTM5iy6jo+mzkHlbEUSUgiL9w9oUEWzY2b/zXcXkJu3PyXoTOY69usS852KNn1SEQCggAmiQqJxhf/wCDioyPo1T6WYL9zeiKCw4m93HTGP+m8DiXLmQ4lL3l9Ue/ZZSWJ99/foVSRl8Oid/4PsUTCqEeeaVHDBGBuUSWfLtxBmUWDpNrK7SnrmJSxg1NxXrze7U4+0axjjH4tAFukQ1lWE4VDLSN6QDZZ4nj+cI7HKpNxX7g/b8eHA+A0m6n8+WcEkwmvO+9ArNUil7QuoKspKeanJ+5j7KTnUR+XItbI8LstEXmYB9uT0/hjxVIkgp0uA4czaWjvv3aw3Lj5L8AdsLhx8z+A2Wrj8Ok8TmTkUFRU7OpQsuqQiVxF7iYUiDQ++PgHEhsVTo92scSEnrO8EJwCjipzw0xMkb6+e0asljYMYkI1SP1UV71Dqa6qgrXTPyX/1HFiunRn9GPPofRoQvgNcAoCszccwPr1F9R5agjWVSKIvTjiGcCCxGE8pV5KoroKmaUWsdVOkXUgxqJ8+k65Do+QavAagFrTlkDFldHAWTv9M1TpMuLUXVB28MP35gSQi/l28QZKT+7FLPPkrttvpX10yBXZnhs3/+m4AxY3bv5HsdkdHM8q5Fh6DvlnOpSkllrkuIIQMzKcSi3efgFER4TRtW0M7aKCz7VZCwIOnfU8rRiXj5Kj1iUjIJI39FCShXkgC1QhusKdLU6ng9N7drJuxhf0n3Q7Pcc2b6AqOAX2fLuJ2j2HkMcGE94vhHvSFeRXGkm0ZvNHwh9IlF5w/WfgdfUChfStu9Avz8NfFYZ2dCweA8Ko0Zv46Ic5KOoKEfzb8Py9k9Ao3R2ObtycxR2wuHHjph6n08np/FKOpOaQk19AbWU5IlMNyjMdSlYk2OTeePj4ExEWRueEKJLiIpBJz3UYOQy2ehdrVybGgL3C5VzcoEPpTCZGHqK5Ih1Ka6Z/Qv6p49z1+XfIlapWv89qd5JfbSTaT4Pkb9CsyVy9C7bpEckkhN7XA2WMln2nslmyeBEyh5mEXoOZdv3Aq74fbtz8p+EOWNy4cXNRckoqOJiSTVZuIVXlpQjGalSCq03aLoixyDxRa/0JDQmp91BSnbd04rTYsRUbXAHMmSDGVmZo2KFU76HksiG41A6l2rJSfn36IdoPGsKwex/516n+6orKyJm1C58aP3TyauKfHY7cW83M5VvIObIDi0TFrZNvoVuC2xvNjZumcAcsbty4uSxKq3QcSMkiPaeA8tIS7PoqlA4jYhE4BBFmqQcKL1+CgoNpFxtFz8RotB7ndyg5sZUazivuNbg8lOyuuhqJn/JcEBOqcRX3XqRD6dimP9nww9f0u3kKfSfeelU/f2sw1xko2HwY49FyvPRaBAQs8Q4S7h6GwWLlwx/nI63OwaaN5IX7bsNLc/EWbTdu/ldxByxu3Li5YtTojRxIyeH0mQ4li66qvkPJZQSpRurh6lBKiImgZ/s2BPmcMy4VHAL28jNt1oVngpgifcMOpfo26zNBjLeiQTZl75L57Fo4m2un3kf362/82z67w2an7Gga5cmZOEpNyPRSNA4vZGIFRqEOewRET+qLOtCHYxkF/D5vPgq7gYjOA3jgpqF/2366cfOfijtgcePGzVXFZLFxMDWHUxm5FBUXY6ypQGGrQ3q2Q0mkRKT2wTcgiNioMHomtiEq2Lf+/YJTwFFtrq+HORvMOA0uPx+xWnqmHsa1nCQN0bB3/UIOrFpC11FjGDh5WqvE5S6GxWikIj+X8pxsyo6n/X97dxcTV5mHAfw58z0MMzB8DB2caWkpUqoLdFmbEqpsmw01K1262U38iEmT1gsjxotGbZtG0SYaEy8MiTEaE3WrF95YrY01htomUm/Kgq0UFpGCFAtMgQ7MMB98zHn3AqFFahnaGc7h8PySuWHOTP4nf87Mw8v7nhfjPUNIEXakm11I1acjVZcOg27m32BRhBE1R2DITYGrohDO+9ZCkiRcHRrFf040INTXgSmdCf/8179Rfn/+XddGtBowsBDRspuajuHHrj5c7OzFr1evIugfhnFyDCbMjKREYYKwzq5Q8mDLpjwUenPmrVCSA5MLRmJiozdWKE1YJtB7tRURwzg820uQ/7cK2JzpcdcYDYVwtelHDLd2I9Q7AmPEgDRTFhzGrLlgIusFpixTmE6ZApxG2PIykfOXQhgdNyb9BsNRnGxsxo+tbTAEBwEAxjUbUfvEP5CVdusl2ES0EAMLEamCLMvo6B3EDz/14Je+foyNXIMuOgoLZkZSJmHAtDkNdmc2PB43Su5dj5J8z7wNAG+sUJoZiYleGYXsn4QECTExjZAYw7QlhpghBlkvw5SeAlOKDaawERFTCFOjEUhBAcOEAVaRCqNuZs5MTIpBOCSY1qTClpcFc64dhhzbghvm3ep+N5bJMeglgZA+Fa61G/HE3//KHZaJ7gADCxGpWk//MP7b0Y3u3l/hH74GEfLDipmRlCmhw6RpZiPI3Fw37t+Yhz8XroXFdPMKpRiCXT74mv6Hyf4QpJAMgzDCIBthEEbopRurkSZEBBOGKOQUGcYcGzLvW4/0TR7o0+fPkxmPTKD18q/o7O3H1UEfAv7rkMNjMMfCN+4orLNCn5oBd+492F52P1f/EN0lBhYiWnEGR8Zwvr0bP//Sh+FrPsRC12GNRSDdtELJkpaJNWvc2LRhLbZuXg97ysJ5LEIIxEKTiA4HYHU7oTfPX0rtD4Zx8ecr6LoygAHfNYyPXYeIBGCRI5i9ZUsURsRMdlgdTmRnZc1MJi5ajwzHH+8hRERLx8BCRJrgD4bR1N6Nju4r8PkGMRm8Dut0CLq5FUo2SGYbjJYUWFNssKfa4ExzIMVqQd+AD5npaRgPR+C7dg3hgB9SNDg3kgPMbF8gLA7Y0pzIcWVjg8eN4o3eefswEVHyMLAQkWaFohNo7uhFW1cvBgYGMBEehzwVhW56AiYxCb00/yNNFkBUZ4VkdcCengF3jgsF6+7Bn/I983a5JqLlt5Tvb+5rTkQris1ixkOl9+Kh0nsXPCfLMobGQhgcGcMPP3VjU95MMOH+PUQrHwMLEWmGTqdDjtOOHKcdJRs9SpdDRAmU2C1WiYiIiJKAgYWIiIhUj4GFiIiIVI+BhYiIiFSPgYWIiIhUj4GFiIiIVI+BhYiIiFSPgYWIiIhUj4GFiIiIVI+BhYiIiFSPgYWIiIhUj4GFiIiIVI+BhYiIiFRPE7s1CyEAAIFAQOFKiIiIKF6z39uz3+O3o4nAEgwGAQBer1fhSoiIiGipgsEg0tLSbnuMJOKJNSonyzL6+/tht9shSdIdv08gEIDX60VfXx8cDkcCK6SlYi/Ug71QD/ZCPdiLxBBCIBgMIjc3Fzrd7WepaGKERafTwePxJOz9HA4HfwFVgr1QD/ZCPdgL9WAv7t5iIyuzOOmWiIiIVI+BhYiIiFSPgeUmZrMZdXV1MJvNSpey6rEX6sFeqAd7oR7sxfLTxKRbIiIi0jaOsBAREZHqMbAQERGR6jGwEBERkeoxsBAREZHqMbD8prOzEzU1NcjKyoLD4cD27dtx9uzZecdIkrTg8emnnypUsXbF04tZIyMj8Hg8kCQJo6Ojy1voKrBYL0ZGRvDwww8jNzcXZrMZXq8Xzz77LPf1SoLFenHx4kU8/vjj8Hq9sFqtKCoqQn19vYIVa1c8n1HPPfccysrKYDabUVpaqkyhGsPA8pvq6mpMT0/jzJkzaG5uRklJCaqrqzE4ODjvuA8//BADAwNzjz179ihTsIbF2wsA2L9/P4qLixWocnVYrBc6nQ41NTX48ssv0dnZiY8++ginT5/G008/rXDl2rNYL5qbm+FyufDJJ5+gra0NR44cweHDh/H2228rXLn2xPsZtW/fPjz66KMKValBgsTQ0JAAIL777ru5nwUCAQFANDQ0zP0MgPj8888VqHD1iLcXQgjxzjvviMrKSvHtt98KAMLv9y9ztdq2lF7crL6+Xng8nuUocdW4014888wzYseOHctR4qqx1F7U1dWJkpKSZaxQuzjCAiAzMxOFhYU4duwYQqEQpqen8d5778HlcqGsrGzesbW1tcjKysLWrVvxwQcfxLUlNsUv3l60t7fj6NGjOHbs2KIbZtGdWcp1Mau/vx/Hjx9HZWXlMlerbXfSCwAYGxtDRkbGMlaqfXfaC0oApROTWvT19YmysjIhSZLQ6/XC7XaLlpaWecccPXpUnDt3TrS0tIg33nhDmM1mUV9fr1DF2rVYL6LRqCguLhYff/yxEEKIs2fPcoQlSeK5LoQQ4rHHHhNWq1UAELt37xaRSESBarUt3l7M+v7774XBYBDffPPNMla5OiylFxxhSRxN/2l66NChW06UvfnR0dEBIQRqa2vhcrnQ2NiI8+fPY8+ePdi9ezcGBgbm3u+ll15CRUUFtmzZgoMHD+LFF1/Em2++qeAZrhyJ7MXhw4dRVFSEJ598UuGzWpkSfV0AwFtvvYWWlhacOHECly9fxoEDBxQ6u5UlGb0AgEuXLqGmpgZ1dXWoqqpS4MxWnmT1ghJH07fmHxoawsjIyG2P2bBhAxobG1FVVQW/3z9vm/CCggLs378fhw4duuVrv/rqK1RXVyMajXI/iUUkshelpaVobW2FJEkAACEEZFmGXq/HkSNH8Oqrryb1XFa6ZF8X586dw4MPPoj+/n643e6E1q41yehFe3s7duzYgaeeegqvvfZa0mrXmmRdF6+88gq++OILXLhwIRllryoGpQtIpuzsbGRnZy96XDgcBoAFcyF0Oh1kWf7D1124cAFOp5NhJQ6J7MVnn32GSCQy91xTUxP27duHxsZG5OfnJ7BqbUr2dTH73MTExF1UuTokuhdtbW3YuXMn9u7dy7CyRMm+LujuaTqwxKu8vBxOpxN79+7Fyy+/DKvVivfffx89PT145JFHAAAnT56Ez+fDtm3bYLFY0NDQgNdffx3PP/+8wtVrSzy9+H0oGR4eBgAUFRUhPT19uUvWrHh6cerUKfh8PjzwwANITU1FW1sbXnjhBVRUVCAvL0/ZE9CQeHpx6dIl7Ny5E7t27cKBAwfmltjq9fq4vogpPvH0AgC6urowPj6OwcFBRCKRuRGWzZs3w2QyKVT9Cqfc9Bl1aWpqElVVVSIjI0PY7Xaxbds2cerUqbnnv/76a1FaWipSU1OFzWYTJSUl4t133xWxWEzBqrVpsV78HifdJs9ivThz5owoLy8XaWlpwmKxiIKCAnHw4EH2IgkW60VdXZ0AsOCxbt065YrWqHg+oyorK2/Zj56eHmWK1gBNz2EhIiIibdD0KiEiIiLSBgYWIiIiUj0GFiIiIlI9BhYiIiJSPQYWIiIiUj0GFiIiIlI9BhYiIiJSPQYWIiIiUj0GFiIiIlI9BhYiIiJSPQYWIiIiUj0GFiIiIlK9/wMBP17Z8UB9MQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = 1 #int(input(\"enter 1 to use squished shapes (e.g. for MD, MN), enter 0 for unclipped states\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs and v not in coreVTDs:  #new - skip VRA core\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList + coreVTDs:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)  #we won't draw polygonal HDs for the VRA core nor envelope, but the envelope can be drawn in\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "fde5ee67-7d20-4827-a1d0-5ea365f5587d",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency.  this excludes VRA cores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "9d4d3d0a-e47e-45ab-b9b2-109ceceaf232",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 8941 . Time = 0\n",
      "working on tract-tract distances for unit 400 out of 8941 . Time = 143\n",
      "working on tract-tract distances for unit 800 out of 8941 . Time = 287\n",
      "working on tract-tract distances for unit 1220 out of 8941 . Time = 413\n",
      "working on tract-tract distances for unit 1935 out of 8941 . Time = 507\n",
      "working on tract-tract distances for unit 2335 out of 8941 . Time = 613\n",
      "working on tract-tract distances for unit 2735 out of 8941 . Time = 710\n",
      "working on tract-tract distances for unit 3136 out of 8941 . Time = 811\n",
      "working on tract-tract distances for unit 3536 out of 8941 . Time = 898\n",
      "working on tract-tract distances for unit 4115 out of 8941 . Time = 974\n",
      "working on tract-tract distances for unit 4721 out of 8941 . Time = 1049\n",
      "working on tract-tract distances for unit 5255 out of 8941 . Time = 1118\n",
      "working on tract-tract distances for unit 5655 out of 8941 . Time = 1181\n",
      "working on tract-tract distances for unit 6055 out of 8941 . Time = 1243\n",
      "working on tract-tract distances for unit 6455 out of 8941 . Time = 1288\n",
      "working on tract-tract distances for unit 6855 out of 8941 . Time = 1333\n",
      "working on tract-tract distances for unit 7255 out of 8941 . Time = 1370\n",
      "working on tract-tract distances for unit 7656 out of 8941 . Time = 1401\n",
      "working on tract-tract distances for unit 8056 out of 8941 . Time = 1419\n",
      "working on tract-tract distances for unit 8457 out of 8941 . Time = 1427\n",
      "working on tract-tract distances for unit 8857 out of 8941 . Time = 1433\n",
      "All done; total elapsed  1433 seconds for OH with 15 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 2.5\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"uu\" nomenclature\n",
    "#   note that VRA core vtds aren't in popHDlist, so they're assigned a large distance from every vtd\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "b7a1da66-4161-46d4-b2e6-5777a5c450ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 8941 . Time = 0\n",
      "working on unit-unit angles for unit 400 out of 8941 . Time = 74\n",
      "working on unit-unit angles for unit 800 out of 8941 . Time = 146\n",
      "working on unit-unit angles for unit 1220 out of 8941 . Time = 210\n",
      "working on unit-unit angles for unit 1935 out of 8941 . Time = 262\n",
      "working on unit-unit angles for unit 2335 out of 8941 . Time = 317\n",
      "working on unit-unit angles for unit 2735 out of 8941 . Time = 368\n",
      "working on unit-unit angles for unit 3136 out of 8941 . Time = 421\n",
      "working on unit-unit angles for unit 3536 out of 8941 . Time = 464\n",
      "working on unit-unit angles for unit 4115 out of 8941 . Time = 505\n",
      "working on unit-unit angles for unit 4721 out of 8941 . Time = 545\n",
      "working on unit-unit angles for unit 5255 out of 8941 . Time = 583\n",
      "working on unit-unit angles for unit 5655 out of 8941 . Time = 615\n",
      "working on unit-unit angles for unit 6055 out of 8941 . Time = 646\n",
      "working on unit-unit angles for unit 6455 out of 8941 . Time = 671\n",
      "working on unit-unit angles for unit 6855 out of 8941 . Time = 694\n",
      "working on unit-unit angles for unit 7255 out of 8941 . Time = 714\n",
      "working on unit-unit angles for unit 7656 out of 8941 . Time = 729\n",
      "working on unit-unit angles for unit 8056 out of 8941 . Time = 738\n",
      "working on unit-unit angles for unit 8457 out of 8941 . Time = 742\n",
      "working on unit-unit angles for unit 8857 out of 8941 . Time = 745\n",
      "All done with angles; total elapsed seconds = 745\n"
     ]
    }
   ],
   "source": [
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "074b3811-8256-4334-960c-32ec09c981f6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "09552570-4c54-4478-943f-53daa43f64a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "786629.867 15 11799448.0 15.0 11799448.0\n",
      "11799448.0 10664613 0.90382  + VRA 0.09618\n",
      "statePop, summed non(VRA+skipped) pop, summed nonVRA frac pop, VRA frac pop\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #for now, skipping the cutList and coreVTD tracts\n",
    "VRAsumPop = np.sum([tractPop[t] for t in coreVTDs])\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight)),\" + VRA\",r5(VRAsumPop/statePop) )\n",
    "print(\"statePop, summed non(VRA+skipped) pop, summed nonVRA frac pop, VRA frac pop\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "4ceeb6d4-f81b-479e-baa0-1421ed5a0cbc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "e25e2932-4933-4435-9adc-b178ec47e5a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 1167.684 of targetWedgePop\n",
      "I am working on HD number 0 of 8941 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 400 of 8941 HDs.  Elapsed sec = 63\n",
      "I am working on HD number 800 of 8941 HDs.  Elapsed sec = 126\n",
      "I am working on HD number 1376 of 8941 HDs.  Elapsed sec = 188\n",
      "I am working on HD number 2131 of 8941 HDs.  Elapsed sec = 249\n",
      "I am working on HD number 2531 of 8941 HDs.  Elapsed sec = 308\n",
      "I am working on HD number 2931 of 8941 HDs.  Elapsed sec = 374\n",
      "I am working on HD number 3332 of 8941 HDs.  Elapsed sec = 462\n",
      "I am working on HD number 3733 of 8941 HDs.  Elapsed sec = 528\n",
      "I am working on HD number 4597 of 8941 HDs.  Elapsed sec = 601\n",
      "I am working on HD number 5140 of 8941 HDs.  Elapsed sec = 668\n",
      "I am working on HD number 5566 of 8941 HDs.  Elapsed sec = 725\n",
      "I am working on HD number 5966 of 8941 HDs.  Elapsed sec = 787\n",
      "I am working on HD number 6366 of 8941 HDs.  Elapsed sec = 839\n",
      "I am working on HD number 6766 of 8941 HDs.  Elapsed sec = 899\n",
      "I am working on HD number 7166 of 8941 HDs.  Elapsed sec = 976\n",
      "I am working on HD number 7566 of 8941 HDs.  Elapsed sec = 1056\n",
      "I am working on HD number 7970 of 8941 HDs.  Elapsed sec = 1119\n",
      "I am working on HD number 8371 of 8941 HDs.  Elapsed sec = 1179\n",
      "I am working on HD number 8771 of 8941 HDs.  Elapsed sec = 1243\n",
      "1271.009 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.95835 0.1535\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "HDsToDraw = set(populatedTractList).difference(set(envelopeVs+coreVTDs+skipList))\n",
    "availVTDs = list(HDsToDraw)+envelopeVs\n",
    "for t in availVTDs: #excluding VRAcore and skipList; originally populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "for kkkj, t in enumerate(HDsToDraw ):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in HDsToDraw],[HDvPop[t] for t in HDsToDraw] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.axhline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "41b4b4e2-69fd-4829-84eb-d9255376ca1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the VRA-respecting polygon-based results to a file; uncomment last line to save to file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "DATE = \"13Jul\"\n",
    "print(\"Now we will write the VRA-respecting polygon-based results to a file; uncomment last line to save to file\")\n",
    "HDweight = [tractPop[t]/statePop for t in range(nHDs)]\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "isVRAcore, isVRAenv = [0]*nHDs,[0]*nHDs\n",
    "polyHDtractList = [HDtractList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "for t in coreVTDs+envelopeVs:\n",
    "    HDtractList[t] = VRAvtdList[t].copy()  #overwrite\n",
    "    HDvPop[t] = np.sum([tractPop[v]  for v in HDtractList[t] ])\n",
    "    HDarea[t] = np.sum([tractArea[v] for v in HDtractList[t] ])\n",
    "    if t in coreVTDs:\n",
    "        isVRAcore[t] = 1\n",
    "    if t in envelopeVs:\n",
    "        isVRAenv[t]  = 1\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList,\n",
    "                    \"isVRAcore\":isVRAcore, \"isVRAenv\":isVRAenv}) \n",
    "\n",
    "outname = STATE+str(int(nHDs))+\"VRA_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "id": "ea5e42fb-a6f7-4c1b-9a8a-99dc48d869e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "like nonVRA states, create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#copy from vanilla HD for converting to unit lists, discontiguities, equalizing pop, equalizing use ...\n",
    "print(\"like nonVRA states, create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "coldRestart = False\n",
    "if coldRestart:\n",
    "    infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                       \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "    shapeDF = pd.read_csv(infilename)\n",
    "    HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "    HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "    HDarea = shapeDF['HDarea'].to_list()\n",
    "    #tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "    nHDs = len(shapeDF)\n",
    "    hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "    hdCPy = shapeDF['centroid y'].to_list()\n",
    "    hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "    HDtractListString = shapeDF[\"HDtractList\"]\n",
    "    HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "    isVRAcore = shapeDF['isVRAcore']\n",
    "    isVRAenv = shapeDF['isVRAenv']\n",
    "    HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "    print(\"OK, I have read in the polygon-based results, ready to assign units\")\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)  #this now includes districts with VRA cores, as they may need triage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "id": "d9f3d82b-6d42-4004-9144-2be3326e021a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vtd avg and sd usage are 0.99954 0.16363\n",
      "here are the tract uses\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops vs avg district pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the sum of HD weight is 1.0\n"
     ]
    }
   ],
   "source": [
    "tractUse = [0.]*nHDs\n",
    "for t in range(nHDs):\n",
    "    for tt in HDtractList[t]:\n",
    "        tractUse[tt] += HDweight[t]*nDistricts\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "\n",
    "plt.hist([tractUse[t] for t in coreVTDs],weights=[HDweight[t] for t in coreVTDs],label=\"VRA\",histtype=\"step\")\n",
    "plt.hist([tractUse[t] for t in envelopeVs],weights=[HDweight[t] for t in envelopeVs],label=\"envel\",histtype=\"step\")\n",
    "plt.hist([tractUse[t] for t in HDsToDraw],weights=[HDweight[t] for t in HDsToDraw],label=\"other\",histtype=\"step\")\n",
    "plt.legend()\n",
    "print(\"here are the tract uses\")\n",
    "plt.show()\n",
    "\n",
    "HDvPop = [np.sum([tractPop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in coreVTDs+envelopeVs],label=\"VRA\",bins=50 ,histtype=\"step\")\n",
    "plt.hist([HDvPop[t] for t in HDsToDraw],label=\"nonVRA\",bins=50,histtype=\"step\" )\n",
    "plt.legend()\n",
    "print(\"here are your HD pops vs avg district pop\")\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"the sum of HD weight is\",np.sum(HDweight) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "a6d512fd-5ffc-4154-8374-c9fa80a0e362",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "incounty VRA HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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D8vf318MPP6wjR44oJiZGd9xxh0JCQvTBBx9ozpw5uuqqq5xOM65JSEiItm3bpgULFmjChAk6ffq0OnTooFGjRiksLKxeYwQAoDG0nIASEnn+6q5rZjbO/gJCzu/TBb6+vnrggQf0wAMPVNrWt29fffjhh9Xed/ny5VWuj46O1ooVK1waBwAA3tZyAoo97vyl5/kuHgAAjNdyAop0PjAQGgAAMB4HyQIAAOMQUAAAgHEIKAAAwDjNNqBYluXtIaABeP4AoGVrdgElICBAklRcXOzlkaAhLjx/F55PAEDL0uzO4vHz85PdbtexY8cknb9Y2YVv8oX5LMtScXGxjh07JrvdLj8/P28PCQDgBc0uoEjnL04myRFS0PTY7XbH8wgAaHlcDijbtm3T008/rd27d+vo0aN65513dPPNNzu2Vzdb8dRTT+nee++VJHXu3Fnffvut0/aUlBTdd999rg6nSj4+PoqJiVFUVJTKysrc0icaT0BAADMnANDCuRxQioqK1L9/f91+++2aMGFCpe1Hjx51uv3Pf/5TM2bM0MSJE53WL1q0SDNn/vey86Ghoa4OpVZ+fn78owMAoAlyOaAkJCQoISGh2u2XTsu/++67GjlypLp27eq0PjQ0lCl8AABQJY+exZObm6v33ntPM2bMqLTtySefVGRkpAYOHKinn35a586dq7afkpISFRQUOC0AAKD58uhBsitWrFBoaGilj4LuvvtuDRo0SBEREfr000+VnJyso0eP6rnnnquyn5SUFC1cuNCTQwUAAAbxaEB5/fXXNWXKFAUFBTmtT0pKcvzcr18/BQYG6te//rVSUlJks9kq9ZOcnOx0n4KCAsXF8aV/AAA0Vx4LKB999JHS09P15ptv1tp26NChOnfunP7zn//o8ssvr7TdZrNVGVwAAEDz5LFjUF577TVdeeWV6t+/f61t09LS5Ovrq6ioKE8NBwAANCEuz6AUFhYqIyPDcTsrK0tpaWmKiIhQx44dJZ3/CObtt9/Ws88+W+n+qamp2rFjh0aOHKnQ0FClpqZq3rx5uu2229SmTZsGlAIAAJoLlwPKrl27NHLkSMftC8eGTJs2TcuXL5ckrV69WpZlafLkyZXub7PZtHr1aj366KMqKSlRly5dNG/ePKdjTAAAgIcd31/z9pBIye694z19rCb4tbEFBQUKDw9Xfn6+wsLCvD0cAAA860ia9MpwadZWKXZAw/rKy5aWDJHKavlS3YAQKfEzt4YUV/5/N8vv4gEAANWwx50PHsUnqm9zfL+0Zub5Nl6aRSGgAADQ0tjjvPrxTV149EqyAAAA9UFAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwjssBZdu2bRo/frxiY2Pl4+OjtWvXOm2fPn26fHx8nJaxY8c6tTl58qSmTJmisLAw2e12zZgxQ4WFhQ0qBAAANB8uB5SioiL1799fS5YsqbbN2LFjdfToUcfyl7/8xWn7lClT9NVXX2nDhg1at26dtm3bplmzZrk+egAA0Cz5u3qHhIQEJSQk1NjGZrMpOjq6ym379u3T+vXrtXPnTg0ePFiS9MILL2jcuHF65plnFBsb6+qQAABAM+ORY1C2bNmiqKgoXX755brzzjt14sQJx7bU1FTZ7XZHOJGk0aNHy9fXVzt27PDEcAAAQBPj8gxKbcaOHasJEyaoS5cuyszM1P3336+EhASlpqbKz89POTk5ioqKch6Ev78iIiKUk5NTZZ8lJSUqKSlx3C4oKHD3sAEAgEHcHlAmTZrk+Llv377q16+funXrpi1btmjUqFH16jMlJUULFy501xABAIDhPH6acdeuXdW2bVtlZGRIkqKjo3Xs2DGnNufOndPJkyerPW4lOTlZ+fn5jiU7O9vTwwYAAF7k8YDy3Xff6cSJE4qJiZEkDRs2THl5edq9e7ejzYcffqiKigoNHTq0yj5sNpvCwsKcFgAA0Hy5/BFPYWGhYzZEkrKyspSWlqaIiAhFRERo4cKFmjhxoqKjo5WZman58+ere/fuio+PlyT17t1bY8eO1cyZM7V06VKVlZVp9uzZmjRpEmfwAAAASfWYQdm1a5cGDhyogQMHSpKSkpI0cOBAPfzww/Lz89OXX36pn/zkJ+rZs6dmzJihK6+8Uh999JFsNpujj5UrV6pXr14aNWqUxo0bp+uuu06vvPKK+6oCAABNmsszKCNGjJBlWdVu/+CDD2rtIyIiQqtWrXJ11wAAoIXgu3gAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDguB5Rt27Zp/Pjxio2NlY+Pj9auXevYVlZWpgULFqhv375q1aqVYmNj9Ytf/EJHjhxx6qNz587y8fFxWp588skGFwMAAJoHlwNKUVGR+vfvryVLllTaVlxcrD179uihhx7Snj17tGbNGqWnp+snP/lJpbaLFi3S0aNHHctdd91VvwoAAECz4+/qHRISEpSQkFDltvDwcG3YsMFp3YsvvqghQ4bo0KFD6tixo2N9aGiooqOjXd09AABoATx+DEp+fr58fHxkt9ud1j/55JOKjIzUwIED9fTTT+vcuXPV9lFSUqKCggKnBQAANF8uz6C44uzZs1qwYIEmT56ssLAwx/q7775bgwYNUkREhD799FMlJyfr6NGjeu6556rsJyUlRQsXLvTkUAEAgEE8FlDKysr085//XJZl6eWXX3balpSU5Pi5X79+CgwM1K9//WulpKTIZrNV6is5OdnpPgUFBYqLi/PU0AEAgJd5JKBcCCfffvutPvzwQ6fZk6oMHTpU586d03/+8x9dfvnllbbbbLYqgwsAAGie3B5QLoSTAwcOaPPmzYqMjKz1PmlpafL19VVUVJS7hwMAAJoglwNKYWGhMjIyHLezsrKUlpamiIgIxcTE6Kc//an27NmjdevWqby8XDk5OZKkiIgIBQYGKjU1VTt27NDIkSMVGhqq1NRUzZs3T7fddpvatGnjvsoAAECT5XJA2bVrl0aOHOm4feHYkGnTpunRRx/V3//+d0nSgAEDnO63efNmjRgxQjabTatXr9ajjz6qkpISdenSRfPmzXM6xgQAALRsLgeUESNGyLKsarfXtE2SBg0apO3bt7u6WwAA0ILwXTwAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDguB5Rt27Zp/Pjxio2NlY+Pj9auXeu03bIsPfzww4qJiVFwcLBGjx6tAwcOOLU5efKkpkyZorCwMNntds2YMUOFhYUNKgQAADQfLgeUoqIi9e/fX0uWLKly+1NPPaU//OEPWrp0qXbs2KFWrVopPj5eZ8+edbSZMmWKvvrqK23YsEHr1q3Ttm3bNGvWrPpXAQAAmhV/V++QkJCghISEKrdZlqXFixfrwQcf1E033SRJeuONN9S+fXutXbtWkyZN0r59+7R+/Xrt3LlTgwcPliS98MILGjdunJ555hnFxsY2oBwAANAcuPUYlKysLOXk5Gj06NGOdeHh4Ro6dKhSU1MlSampqbLb7Y5wIkmjR4+Wr6+vduzY4c7hAACAJsrlGZSa5OTkSJLat2/vtL59+/aObTk5OYqKinIehL+/IiIiHG0uVVJSopKSEsftgoICdw4bAAAYpkmcxZOSkqLw8HDHEhcX5+0hAQAAD3JrQImOjpYk5ebmOq3Pzc11bIuOjtaxY8ectp87d04nT550tLlUcnKy8vPzHUt2drY7hw0AAAzj1oDSpUsXRUdHa9OmTY51BQUF2rFjh4YNGyZJGjZsmPLy8rR7925Hmw8//FAVFRUaOnRolf3abDaFhYU5LQAAoPly+RiUwsJCZWRkOG5nZWUpLS1NERER6tixo+bOnavf/va36tGjh7p06aKHHnpIsbGxuvnmmyVJvXv31tixYzVz5kwtXbpUZWVlmj17tiZNmsQZPAAAQFI9AsquXbs0cuRIx+2kpCRJ0rRp07R8+XLNnz9fRUVFmjVrlvLy8nTddddp/fr1CgoKctxn5cqVmj17tkaNGiVfX19NnDhRf/jDH9xQDgAAaA5cDigjRoyQZVnVbvfx8dGiRYu0aNGiattERERo1apVru4aAAC0EE3iLB4AANCyEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBwCCgAAMA4BBQAAGIeAAgAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHHcHlA6d+4sHx+fSktiYqIkacSIEZW23XHHHe4eBgAAaML83d3hzp07VV5e7ri9d+9e/ehHP9LPfvYzx7qZM2dq0aJFjtshISHuHgYAAGjC3B5Q2rVr53T7ySefVLdu3TR8+HDHupCQEEVHR7t71wAAoJnw6DEopaWl+vOf/6zbb79dPj4+jvUrV65U27Zt1adPHyUnJ6u4uLjGfkpKSlRQUOC0AACA5svtMygXW7t2rfLy8jR9+nTHultvvVWdOnVSbGysvvzySy1YsEDp6elas2ZNtf2kpKRo4cKFnhwqAAAwiEcDymuvvaaEhATFxsY61s2aNcvxc9++fRUTE6NRo0YpMzNT3bp1q7Kf5ORkJSUlOW4XFBQoLi7OcwMHAABe5bGA8u2332rjxo01zoxI0tChQyVJGRkZ1QYUm80mm83m9jECAAAzeewYlGXLlikqKko33nhjje3S0tIkSTExMZ4aCgAAaGI8MoNSUVGhZcuWadq0afL3/+8uMjMztWrVKo0bN06RkZH68ssvNW/ePF1//fXq16+fJ4YCAACaII8ElI0bN+rQoUO6/fbbndYHBgZq48aNWrx4sYqKihQXF6eJEyfqwQcf9MQwAABAE+WRgDJmzBhZllVpfVxcnLZu3eqJXQIAgGaE7+IBAADGIaAAAADjEFAAAIBxPHqhNgAA0HgO553RqaJSp3VtWgWqgz3YSyOqPwIKAADNwOG8Mxr97FadKSt3Wh8c4KeN9wxvciGFgAIAQDNwqqhUZ8rKtfiWAeoe1VqSlHGsUHPfTNOpolICCgAA8J7uUa3Vp0O4t4fRYBwkCwAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOAQUAABgHE4zBgDA2/KypeIT1W8/vr/xxmIIAgoAAN6Uly0tGSKVFdfcLiBEColsnDEZgIACAIA3FZ84H04mvCq17Vl9u5BIyR7XeOPyMgIKAAAmaNtTih3g7VEYg4NkAQCAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOO4PaA8+uij8vHxcVp69erl2H727FklJiYqMjJSrVu31sSJE5Wbm+vuYQAAgCbMIzMoP/jBD3T06FHH8vHHHzu2zZs3T//4xz/09ttva+vWrTpy5IgmTJjgiWEAAIAmyt8jnfr7Kzo6utL6/Px8vfbaa1q1apVuuOEGSdKyZcvUu3dvbd++XVdffbUnhgMAAJoYj8ygHDhwQLGxserataumTJmiQ4cOSZJ2796tsrIyjR492tG2V69e6tixo1JTU6vtr6SkRAUFBU4LAABovtweUIYOHarly5dr/fr1evnll5WVlaUf/vCHOn36tHJychQYGCi73e50n/bt2ysnJ6faPlNSUhQeHu5Y4uLi3D1sAABgELd/xJOQkOD4uV+/fho6dKg6deqkt956S8HBwfXqMzk5WUlJSY7bBQUFhBQAAJoxj59mbLfb1bNnT2VkZCg6OlqlpaXKy8tzapObm1vlMSsX2Gw2hYWFOS0AAKD58nhAKSwsVGZmpmJiYnTllVcqICBAmzZtcmxPT0/XoUOHNGzYME8PBQAANBFu/4jnN7/5jcaPH69OnTrpyJEjeuSRR+Tn56fJkycrPDxcM2bMUFJSkiIiIhQWFqa77rpLw4YN4wweAADg4PaA8t1332ny5Mk6ceKE2rVrp+uuu07bt29Xu3btJEm///3v5evrq4kTJ6qkpETx8fF66aWX3D0MAADQhLk9oKxevbrG7UFBQVqyZImWLFni7l0DAIBmwiMXagMAAJ53OO+MThWVSpIyjhV6eTTuRUABAKAJOpx3RqOf3aozZeWOdcEBfmrTKtCLo3IfAgoAAE3QqaJSnSkr1+JbBqh7VGtJUptWgepgr981x0xDQAEAoAnrHtVafTqEe3sYbufx66AAAAC4ioACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHEIKAAAwDgEFAAAYBx/bw8AAAA0nsN5Z3SqqNRpXZtWgepgD/bSiKpGQAEAoIU4nHdGo5/dqjNl5U7rgwP8tPGe4UaFFAIKAACelJctFZ+ofvvx/Y02lFNFpTpTVq7FtwxQ96jWkqSMY4Wa+2aaThWVElAAAGgR8rKlJUOksuKa2wWESCGRjTMmSd2jWqtPh/BG2199EFAAAPCU4hPnw8mEV6W2PatvFxIp2eMab1xNAAEFAABPa9tTih3g7VE0KZxmDAAAjENAAQAAxiGgAAAA4xBQAACAcQgoAADAOJzFAwBAE3DpJeozjhW6tf+L+4sqKlGUW3t3HQEFAADD1XSJ+jatAhvUd5tWgQoO8NPcN9Mc664M+FZ/82tQtw1GQAEAwHBVXaJecs+X/HWwB2vjPcMdszMZxwr16ltZEgEFAADUhacuUd/BHmzU9/BIHjhINiUlRVdddZVCQ0MVFRWlm2++Wenp6U5tRowYIR8fH6fljjvucPdQAABAE+X2gLJ161YlJiZq+/bt2rBhg8rKyjRmzBgVFRU5tZs5c6aOHj3qWJ566il3DwUAADRRbv+IZ/369U63ly9frqioKO3evVvXX3+9Y31ISIiio6PdvXsAANAMePw6KPn5+ZKkiIgIp/UrV65U27Zt1adPHyUnJ6u4uPqvoi4pKVFBQYHTAgAAmi+PHiRbUVGhuXPn6tprr1WfPn0c62+99VZ16tRJsbGx+vLLL7VgwQKlp6drzZo1VfaTkpKihQsXenKoAADAIB4NKImJidq7d68+/vhjp/WzZs1y/Ny3b1/FxMRo1KhRyszMVLdu3Sr1k5ycrKSkJMftgoICxcXFeW7gAADAqzwWUGbPnq1169Zp27Ztuuyyy2psO3ToUElSRkZGlQHFZrPJZrN5ZJwAAJjo4ivHNvSqsRfu7+6rz3qS2wOKZVm666679M4772jLli3q0qVLrfdJS0uTJMXExLh7OAAANDlVXTm2PleNreoqse64+mxjcHtASUxM1KpVq/Tuu+8qNDRUOTk5kqTw8HAFBwcrMzNTq1at0rhx4xQZGakvv/xS8+bN0/XXX69+/fq5ezgAADQ5VV05tj5Xjb30KrH17ccb3B5QXn75ZUnnL8Z2sWXLlmn69OkKDAzUxo0btXjxYhUVFSkuLk4TJ07Ugw8+6O6hAADQpLnjyrEmXiW2LjzyEU9N4uLitHXrVnfvFgAANCMevw4KAACAqwgoAADAOAQUAABgHI9eqA0AgCYrL1sqPtGwPo7vd89YWiACCgAAl8rLlpYMkcqq/564OgsIkUIiG95PC0NAAQDgUsUnzoeTCa9KbXs2rK+QSMnO17O4ioACAEB12vaUYgd4exQtEgfJAgAA4xBQAACAcQgoAADAOByDAgBoeWo7hZjTg72OgAIAaFnqegoxpwd7FQEFANCy1PUUYk4P9ioCCgCgZeIUYqNxkCwAADAOAQUAABiHgAIAAIxDQAEAAMYhoAAAAOMQUAAAgHE4zRgA0LxwldhmgYACAGg+uEpss0FAAQA0H1wlttkgoAAAmh+uEtvkEVAA1E1tn+tLvCsF4DYEFAC1c+Vz/cTPCCkAGoyAAqB2dflc//h+ac3M820JKJ7FbBZaAAKKt/FCg6bEpM/1TfvbaazxuDKbdcv/SSFtPTseSTmHDqjwVK7jdlhwgKJa2xrcb71wCnGzQUDxJqbNgfox7W+nMcdTl9ms4uPSm1OlP0/0+HhyDh1Q2GvXKtqnpN59uB2nEDcLBBRPqsvFgpritHld3inWhbve3Zr2Tho1c8fz1dgfOTXm33JdLzJW22xW4me197NmpnQoteZ2tTwXhadyFe1Tol2Dfid7pz7KPnlGz/wrXc9PGqDu7Vo72h0rLFHBmTLH7frOslzaT5V91fPv/XDeGZ0qKnXcbtMqUB3swS7dp673Q+0IKJ7iyjuqjsOazj/PutZVF+54N2naO2nUzN3PV2N85NSYf8vuvMiYPa7msYREnu9nzcza91WH58LeqY+6979OZw/n66sPSnW2bV8pNlzS+X/io1/eqjNl5Y72wQF+2njPcJf+kVfVT337qrLvZ10bY1X3cdd4QEDxnMa+WFBjzSLUta7auOvdrWnvpCXznlN3zHi58rl+TW29MWtY29jdMVtTl37qojH3ZY9zyyyLLS+jyvUZxwqdfj5TVq7FtwxQ96jWyjhWqLlvpmln1kmdivrvLEttMw+nikqd+rnQd1V9XcrVvusyxprGc6qo1OXwdfFMzMWPX0tFQPE0097huWsWwaSDJaXm9zi7a1/unvGq6V27K+/IG2PW0M0zBI36O99Y+3LDLEucpGLLpvKgCEnn/4EHB/hp7ptpTu2CA/x0VZcIdbAH19imLjMP3aNaq0+H8Br3dylX+3ZljBePpz5qmolp0yqw3v02dV4NKEuWLNHTTz+tnJwc9e/fXy+88IKGDBnizSGZy13vShv4ebPbNfTdbWNy52xNYx3T4K4ZL6n256Iu78jr0s8Ftf3O18aVGYLGPMaroXXVU72OlajDY5jxfaF+8ZdMvdK6gySpgz1YG+8ZXuO+qmpTl5mQqmYVqtvfpfe7tO/aaq/LGGua5ahtBqS2mZi6jLG581pAefPNN5WUlKSlS5dq6NChWrx4seLj45Wenq6oqChvDcs87npX6u53kw1l2nhc0dB3t944PsmUd+R14crvRkOPw2hM7qzLRQ06VqKWx/Csla8jynda18EeXOs/1kvbuDITcumsQm37q6rvutRelzFeOp6GzOg0dCamufFaQHnuuec0c+ZM/fKXv5QkLV26VO+9955ef/113Xfffd4a1nkmnRXirnelbvq82W3v8Lzx7rahY2/M4zCkxptpMI09TjlTt9V+XY16/A1eOosQdLxQ3Rs0WBe4cYapLmebXNzm0mNALqy79FiJqmZZauOuYyXqMhMi1W9W4dK+q5pRqUsdVY3x0vG4MqPj6nEqLY1XAkppaal2796t5ORkxzpfX1+NHj1aqampldqXlJSopOS/59jn559P6wUFBe4fXN530qsjpXNnam7nHyxNeKX6dzonMqQSSzpdKDV0nL7hUus6pOra9lNbP+cCpfIg6S+/qrkf/+DzbT1d1+nC84/hf9LO/1yVujzOda2rLmqr3ZXH0N5Han1Zze1qeowb+/lqJEfyzugnL36ps2UVjnVBAb5aPGmgIkIC/tuwQFJOdp37PVlcprmrP3fqt5fPf/RXm6X07R/Jv31ulfez5R/UZSWWMrNyVVJQ9/1Vr5bZkVrqqqqOSx+f6tr0ivRXbKiPJKnwdIUqSor15cGjKjxdUOV96ioowFf+5WdVUODj8n0vFuorhYbW1keZCgrKamlTc9/+5f4KrDiru9/41KlNXeqoPMbK46mtjksf+4PfF6mipFiFpwsa/Bi6Q+HpApWVnFGB3PQ/7CIX/m9bllV7Y8sLDh8+bEmyPv30U6f19957rzVkyJBK7R955BFLEgsLCwsLC0szWLKzs2vNCk3iLJ7k5GQlJSU5bldUVOjkyZOKjIyUj4/302ZNCgoKFBcXp+zsbIWFhXl7OB5Frc1XS6q3JdUqtax6W1Ktkpn1Wpal06dPKzY2tta2Xgkobdu2lZ+fn3JznadUc3NzFR0dXam9zWaTzeb8+bPdbvfkEN0uLCzMmF8QT6PW5qsl1duSapVaVr0tqVbJvHrDw8Pr1M7Xw+OoUmBgoK688kpt2rTJsa6iokKbNm3SsGHDvDEkAABgEK99xJOUlKRp06Zp8ODBGjJkiBYvXqyioiLHWT0AAKDl8lpAueWWW/T999/r4YcfVk5OjgYMGKD169erffv23hqSR9hsNj3yyCOVPqJqjqi1+WpJ9bakWqWWVW9LqlVq+vX6WFZdzvUBAABoPF45BgUAAKAmBBQAAGAcAgoAADAOAQUAABiHgOKiJUuWqHPnzgoKCtLQoUP12Wef1dh+8eLFuvzyyxUcHKy4uDjNmzdPZ8+edWpz+PBh3XbbbYqMjFRwcLD69u2rXbt2ebKMOnF3reXl5XrooYfUpUsXBQcHq1u3bnrsscfq9p0MjcCVesvKyrRo0SJ169ZNQUFB6t+/v9avX9+gPhuTu2tNSUnRVVddpdDQUEVFRenmm29Wenq6p8uoM088txc8+eST8vHx0dy5cz0wctd5olZTX6Mk99dr6uvUtm3bNH78eMXGxsrHx0dr166t9T5btmzRoEGDZLPZ1L17dy1fvrxSG1NfoyTJK9/F01StXr3aCgwMtF5//XXrq6++smbOnGnZ7XYrNze3yvYrV660bDabtXLlSisrK8v64IMPrJiYGGvevHmONidPnrQ6depkTZ8+3dqxY4d18OBB64MPPrAyMjIaq6wqeaLWxx9/3IqMjLTWrVtnZWVlWW+//bbVunVr6/nnn2+ssqrlar3z58+3YmNjrffee8/KzMy0XnrpJSsoKMjas2dPvftsLJ6oNT4+3lq2bJm1d+9eKy0tzRo3bpzVsWNHq7CwsLHKqpYn6r3gs88+szp37mz169fPmjNnjocrqZ0najX1NcqyPFOvqa9T77//vvXAAw9Ya9assSRZ77zzTo3tDx48aIWEhFhJSUnW119/bb3wwguWn5+ftX79ekcbU1+jLiCguGDIkCFWYmKi43Z5ebkVGxtrpaSkVNk+MTHRuuGGG5zWJSUlWddee63j9oIFC6zrrrvOMwNuAE/UeuONN1q33367U5sJEyZYU6ZMcePI68fVemNiYqwXX3zRad2ltbjaZ2PxRK2XOnbsmCXJ2rp1q3sG3QCeqvf06dNWjx49rA0bNljDhw83IqB4olZTX6MsyzP1mvw6dUFdAsr8+fOtH/zgB07rbrnlFis+Pt5x29TXqAv4iKeOSktLtXv3bo0ePdqxztfXV6NHj1ZqamqV97nmmmu0e/dux5TZwYMH9f7772vcuHGONn//+981ePBg/exnP1NUVJQGDhyoV1991bPF1MJTtV5zzTXatGmT9u/fL0n64osv9PHHHyshIcGD1dSuPvWWlJQoKCjIaV1wcLA+/vjjevfZGDxRa1Xy8/MlSREREW4Ydf15st7ExETdeOONTn17k6dqNfE1SvJcvaa+TrkqNTW10u9mfHy847Ex9TXqYk3i24xNcPz4cZWXl1e60m379u31zTffVHmfW2+9VcePH9d1110ny7J07tw53XHHHbr//vsdbQ4ePKiXX35ZSUlJuv/++7Vz507dfffdCgwM1LRp0zxaU3U8Vet9992ngoIC9erVS35+fiovL9fjjz+uKVOmeLSe2tSn3vj4eD333HO6/vrr1a1bN23atElr1qxReXl5vftsDJ6o9VIVFRWaO3eurr32WvXp08ftNbjCU/WuXr1ae/bs0c6dOz06fld4qlYTX6Mkz9Vr6uuUq3Jycqp8bAoKCnTmzBmdOnXKyNeoizGD4kFbtmzRE088oZdeekl79uzRmjVr9N577+mxxx5ztKmoqNCgQYP0xBNPaODAgZo1a5ZmzpyppUuXenHkrqtLrW+99ZZWrlypVatWac+ePVqxYoWeeeYZrVixwosjr5/nn39ePXr0UK9evRQYGKjZs2frl7/8pXx9m9+flKu1JiYmau/evVq9enUjj9Q9aqs3Oztbc+bM0cqVKyu9G29q6vLcNpfXKKlu9Tan16mmrvm9mnpI27Zt5efnp9zcXKf1ubm5io6OrvI+Dz30kKZOnapf/epX6tu3r/7nf/5HTzzxhFJSUlRRUSFJiomJ0RVXXOF0v969e+vQoUOeKaQOPFXrvffeq/vuu0+TJk1S3759NXXqVM2bN08pKSker6km9am3Xbt2Wrt2rYqKivTtt9/qm2++UevWrdW1a9d699kYPFHrxWbPnq1169Zp8+bNuuyyyzxSgys8Ue/u3bt17NgxDRo0SP7+/vL399fWrVv1hz/8Qf7+/tXOLHmap55bE1+jJM/Va+rrlKuio6OrfGzCwsIUHBxs7GvUxQgodRQYGKgrr7xSmzZtcqyrqKjQpk2bNGzYsCrvU1xcXOldpp+fnyQ5Tlm79tprK52OuX//fnXq1Mmdw3eJp2qtrs2FAOMt9an3gqCgIHXo0EHnzp3T3/72N910000N7tOTPFGrdP45nj17tt555x19+OGH6tKli8dqcIUn6h01apT+/e9/Ky0tzbEMHjxYU6ZMUVpamuP3vrF56rk18TVK8ly9pr5OuWrYsGFOj40kbdiwwfHYmPoa5cSrh+g2MatXr7ZsNpu1fPly6+uvv7ZmzZpl2e12Kycnx7Isy5o6dap13333Odo/8sgjVmhoqPWXv/zFOnjwoPWvf/3L6tatm/Xzn//c0eazzz6z/P39rccff9w6cOCAtXLlSiskJMT685//3Oj1XcwTtU6bNs3q0KGD4/S9NWvWWG3btrXmz5/f6PVdytV6t2/fbv3tb3+zMjMzrW3btlk33HCD1aVLF+vUqVN17tNbPFHrnXfeaYWHh1tbtmyxjh496liKi4sbu7xKPFHvpUw5i8cTtZr6GmVZnqnX1Nep06dPW59//rn1+eefW5Ks5557zvr888+tb7/91rIsy7rvvvusqVOnOtpfOM343nvvtfbt22ctWbKkytOMTXyNuoCA4qIXXnjB6tixoxUYGGgNGTLE2r59u2Pb8OHDrWnTpjlul5WVWY8++qjVrVs3KygoyIqLi7P+93//t9IL3T/+8Q+rT58+ls1ms3r16mW98sorjVRNzdxda0FBgTVnzhyrY8eOVlBQkNW1a1frgQcesEpKShqxquq5Uu+WLVus3r17WzabzYqMjLSmTp1qHT582KU+vcndtUqqclm2bFkjVVQzTzy3FzMloFiWZ2o19TXKstxfr6mvU5s3b67yb+xCfdOmTbOGDx9e6T4DBgywAgMDra5du1b592jqa5RlWZaPZRlyGU8AAID/j2NQAACAcQgoAADAOAQUAABgHAIKAAAwDgEFAAAYh4ACAACMQ0ABAADGIaAAAADjEFAAAIBxCCgAAMA4BBQAAGAcAgoAADDO/wNFV6qEJYALUAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"incounty VRA HD pops\")\n",
    "plt.hist([np.sum([tractPop[v] for v in set(VRAvtdList[t]).intersection(set(countyTractList[countyNo[t]])) ])/aDP for t in envelopeVs ],\n",
    "        label=\"envelope\",histtype=\"step\",bins=50)\n",
    "plt.hist([np.sum([tractPop[v] for v in set(VRAvtdList[t]).intersection(set(countyTractList[countyNo[t]])) ])/aDP for t in coreVTDs],\n",
    "        label=\"core\",histtype=\"step\",bins=50)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "id": "783532e9-3cba-48dd-b91e-8c9a0435f7e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6292\n"
     ]
    }
   ],
   "source": [
    "print(nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "id": "d6686f68-0585-49b8-ac4f-5c769615ee60",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 759783.78\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 787946.98\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 735143.0\n",
      "working on vtd --> unit conversion for HD 3001 last HD had pop 750415.888\n",
      "working on vtd --> unit conversion for HD 4001 last HD had pop 786117\n",
      "working on vtd --> unit conversion for HD 5001 last HD had pop 786503\n",
      "working on vtd --> unit conversion for HD 6001 last HD had pop 773210.0\n",
      "working on vtd --> unit conversion for HD 7001 last HD had pop 778180.081\n",
      "working on vtd --> unit conversion for HD 8001 last HD had pop 783976.923\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "CCBpopFrac = [ [0. for ccb in CCBlist] for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "id": "d645165b-4c82-42fd-8da3-f26c7c8b9d95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing conversion to units.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 97574.0 would be used 1.515 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 58240.0 would be used 1.086 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 37102.0 would be used 1.357 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 97574.0 would be used 1.5146055984991826 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 58240.0 would be used 1.0619454401595727 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 37102.0 would be used 1.3572571360965366 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing conversion to units.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\n",
    "          \"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "id": "fa5648b7-3e18-46a8-b85a-9e61708231d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.02034 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.02007 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 2 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.02014 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "7b16bdfb-41a7-48c1-99e2-85e28a7267ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After CCB addition, here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.0026 0.16161\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"After CCB addition, here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "id": "c712ed2a-de9a-43ec-a031-c419fa369d4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14.979966435718008\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(unitPop) / aDP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "id": "a3e4e7ec-a903-47c8-b518-60ba98f41281",
   "metadata": {},
   "outputs": [],
   "source": [
    "for u in range(nUnits):\n",
    "    if len(unitNbrs[u]) == 0:\n",
    "        plt.scatter(u,unitPop[u])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "id": "ec568e36-5136-4878-ad07-9e87edf85367",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 8934 populated HDs out of 8941\n",
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below is the HDvPop histogram\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)\n",
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()\n",
    "print(\"Below is the HDvPop histogram\")\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "id": "aa20836c-50e3-4a5c-99b1-0d79936e04e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "initial classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 73\n",
      "working on HD 1402 time is now 129\n",
      "working on HD 2102 time is now 153\n",
      "working on HD 2802 time is now 209\n",
      "working on HD 3503 time is now 260\n",
      "working on HD 4204 time is now 297\n",
      "working on HD 4906 time is now 362\n",
      "working on HD 5606 time is now 437\n",
      "working on HD 6306 time is now 522\n",
      "working on HD 7006 time is now 593\n",
      "working on HD 7706 time is now 666\n",
      "working on HD 8407 time is now 727\n",
      "out of 8934 total HDs, there were 5942.0 contiguous and 3561.0 complement-contiguous HDs\n",
      "2110 HDs had both discontiguity problems, while enclave-only = 3263 and discontig only= 882\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 2992 3263\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"initial classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "id": "25179c37-e5c0-4f13-8205-9663ea9bea1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 747298 district pop vs 786629 target\n",
      "we'll also trim any HD with total islands' pop <= 15732\n",
      "working on HD 1\n",
      "working on HD 568\n",
      "working on HD 1112\n",
      "working on HD 2192\n",
      "working on HD 2914\n",
      "working on HD 3457\n",
      "working on HD 4170\n",
      "working on HD 4759\n",
      "working on HD 5290\n",
      "working on HD 5749\n",
      "working on HD 6523\n",
      "working on HD 7004\n",
      "working on HD 7382\n",
      "working on HD 7878\n",
      "working on HD 8542\n",
      "Out of 2992 discontig HDs 2992 had discontig HDs.\n",
      "Of these, 2565 won't be under 747298 after all minor discontigys were shed, while 427 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 1\n",
      "reclassifying HD 1876\n",
      "reclassifying HD 3457\n",
      "reclassifying HD 4970\n",
      "reclassifying HD 6523\n",
      "reclassifying HD 7530\n",
      "There are 427 HDs still with both discontinuity problems\n",
      "Additionally, 1797 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "8dc2ffc7-f1bd-463d-b3d3-0eb332fa0d65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lets classify the noncontig by VRA type for badDiscoList and stillHasEnclave\n",
      "VRA,env,other\n",
      "0\n",
      "0\n",
      "427\n",
      "VRA,env,other\n",
      "0\n",
      "0\n",
      "1797\n"
     ]
    }
   ],
   "source": [
    "print(\"lets classify the noncontig by VRA type for badDiscoList and stillHasEnclave\")\n",
    "for LIST in [badDiscoList, stillHasEnclave]:\n",
    "    print(\"VRA,env,other\")\n",
    "    for LHD in [coreVTDs, envelopeVs,HDsToDraw]:\n",
    "        print(len(set(LHD).intersection(set(LIST))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "id": "5b41c8e4-912c-4ed8-8bdc-1820f9cc1d03",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 825961 district pop vs 786629 target\n",
      "working on enclave-y HD 0 . We have evaluated 0 of 5060 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 146 . We have evaluated 100 of 5060 enclavy HDs.Time is now 18\n",
      "working on enclave-y HD 296 . We have evaluated 200 of 5060 enclavy HDs.Time is now 41\n",
      "working on enclave-y HD 449 . We have evaluated 300 of 5060 enclavy HDs.Time is now 59\n",
      "working on enclave-y HD 596 . We have evaluated 400 of 5060 enclavy HDs.Time is now 75\n",
      "working on enclave-y HD 721 . We have evaluated 500 of 5060 enclavy HDs.Time is now 89\n",
      "working on enclave-y HD 895 . We have evaluated 600 of 5060 enclavy HDs.Time is now 105\n",
      "working on enclave-y HD 1073 . We have evaluated 700 of 5060 enclavy HDs.Time is now 119\n",
      "working on enclave-y HD 1649 . We have evaluated 800 of 5060 enclavy HDs.Time is now 142\n",
      "working on enclave-y HD 1939 . We have evaluated 900 of 5060 enclavy HDs.Time is now 157\n",
      "working on enclave-y HD 2100 . We have evaluated 1000 of 5060 enclavy HDs.Time is now 168\n",
      "working on enclave-y HD 2281 . We have evaluated 1100 of 5060 enclavy HDs.Time is now 195\n",
      "working on enclave-y HD 2516 . We have evaluated 1200 of 5060 enclavy HDs.Time is now 210\n",
      "working on enclave-y HD 2696 . We have evaluated 1300 of 5060 enclavy HDs.Time is now 225\n",
      "working on enclave-y HD 2861 . We have evaluated 1400 of 5060 enclavy HDs.Time is now 247\n",
      "working on enclave-y HD 3019 . We have evaluated 1500 of 5060 enclavy HDs.Time is now 266\n",
      "working on enclave-y HD 3202 . We have evaluated 1600 of 5060 enclavy HDs.Time is now 273\n",
      "working on enclave-y HD 3344 . We have evaluated 1700 of 5060 enclavy HDs.Time is now 281\n",
      "working on enclave-y HD 3484 . We have evaluated 1800 of 5060 enclavy HDs.Time is now 292\n",
      "working on enclave-y HD 3619 . We have evaluated 1900 of 5060 enclavy HDs.Time is now 302\n",
      "working on enclave-y HD 4047 . We have evaluated 2000 of 5060 enclavy HDs.Time is now 314\n",
      "working on enclave-y HD 4420 . We have evaluated 2100 of 5060 enclavy HDs.Time is now 334\n",
      "working on enclave-y HD 4679 . We have evaluated 2200 of 5060 enclavy HDs.Time is now 356\n",
      "working on enclave-y HD 4869 . We have evaluated 2300 of 5060 enclavy HDs.Time is now 376\n",
      "working on enclave-y HD 5205 . We have evaluated 2400 of 5060 enclavy HDs.Time is now 391\n",
      "working on enclave-y HD 5339 . We have evaluated 2500 of 5060 enclavy HDs.Time is now 414\n",
      "working on enclave-y HD 5462 . We have evaluated 2600 of 5060 enclavy HDs.Time is now 436\n",
      "working on enclave-y HD 5630 . We have evaluated 2700 of 5060 enclavy HDs.Time is now 454\n",
      "working on enclave-y HD 5759 . We have evaluated 2800 of 5060 enclavy HDs.Time is now 480\n",
      "working on enclave-y HD 5876 . We have evaluated 2900 of 5060 enclavy HDs.Time is now 515\n",
      "working on enclave-y HD 6021 . We have evaluated 3000 of 5060 enclavy HDs.Time is now 529\n",
      "working on enclave-y HD 6158 . We have evaluated 3100 of 5060 enclavy HDs.Time is now 545\n",
      "working on enclave-y HD 6307 . We have evaluated 3200 of 5060 enclavy HDs.Time is now 561\n",
      "working on enclave-y HD 6437 . We have evaluated 3300 of 5060 enclavy HDs.Time is now 574\n",
      "working on enclave-y HD 6580 . We have evaluated 3400 of 5060 enclavy HDs.Time is now 591\n",
      "working on enclave-y HD 6743 . We have evaluated 3500 of 5060 enclavy HDs.Time is now 602\n",
      "working on enclave-y HD 6852 . We have evaluated 3600 of 5060 enclavy HDs.Time is now 615\n",
      "working on enclave-y HD 6993 . We have evaluated 3700 of 5060 enclavy HDs.Time is now 630\n",
      "working on enclave-y HD 7109 . We have evaluated 3800 of 5060 enclavy HDs.Time is now 642\n",
      "working on enclave-y HD 7224 . We have evaluated 3900 of 5060 enclavy HDs.Time is now 655\n",
      "working on enclave-y HD 7333 . We have evaluated 4000 of 5060 enclavy HDs.Time is now 669\n",
      "working on enclave-y HD 7451 . We have evaluated 4100 of 5060 enclavy HDs.Time is now 681\n",
      "working on enclave-y HD 7570 . We have evaluated 4200 of 5060 enclavy HDs.Time is now 694\n",
      "working on enclave-y HD 7713 . We have evaluated 4300 of 5060 enclavy HDs.Time is now 717\n",
      "working on enclave-y HD 7852 . We have evaluated 4400 of 5060 enclavy HDs.Time is now 732\n",
      "working on enclave-y HD 7992 . We have evaluated 4500 of 5060 enclavy HDs.Time is now 752\n",
      "working on enclave-y HD 8158 . We have evaluated 4600 of 5060 enclavy HDs.Time is now 768\n",
      "working on enclave-y HD 8356 . We have evaluated 4700 of 5060 enclavy HDs.Time is now 782\n",
      "working on enclave-y HD 8546 . We have evaluated 4800 of 5060 enclavy HDs.Time is now 797\n",
      "working on enclave-y HD 8688 . We have evaluated 4900 of 5060 enclavy HDs.Time is now 830\n",
      "working on enclave-y HD 8835 . We have evaluated 5000 of 5060 enclavy HDs.Time is now 850\n",
      "Out of 5060 HDs with enclaves 5060 had enclaves.\n",
      "Of these, 4883 wouldn't be over 825961 if all enclaves filled, while 177 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "targetList = list( set(stillHasEnclave + eLgenerator) )\n",
    "for iii, t in enumerate(targetList):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(targetList),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(targetList),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "id": "3c16d430-1887-46f4-ab03-fa348cae7e2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "do any of our complement-discontig HDs have a VRA core enclave?\n",
      "checking for coreVRA enclave for HD 12 out of 177\n",
      "checking for coreVRA enclave for HD 628 out of 177\n",
      "checking for coreVRA enclave for HD 2440 out of 177\n",
      "checking for coreVRA enclave for HD 8075 out of 177\n",
      "there were a total of 47 HDs that have a coreVRA enclave\n"
     ]
    }
   ],
   "source": [
    "hasCoreEnclave = list()\n",
    "print(\"do any of our complement-discontig HDs have a VRA core enclave?\")\n",
    "for i,t in enumerate( cantFill):\n",
    "    if i%50 == 0:\n",
    "        print(\"checking for coreVRA enclave for HD\",t,\"out of\",len(cantFill) )\n",
    "    enclaveLists = getEnclaveLists(HDunitList[t],unitNbrs)\n",
    "    for eL in enclaveLists:\n",
    "        if len(coreUset.intersection(set(eL)) )  > 0:\n",
    "            hasCoreEnclave.append(t)\n",
    "            break\n",
    "print(\"there were a total of\",len(hasCoreEnclave),\"HDs that have a coreVRA enclave\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "id": "b09991e9-8b48-462d-8f33-e255b59a5d3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "of these, 47 are enclaveOnly (are contig)\n"
     ]
    }
   ],
   "source": [
    "print(\"of these,\",len(set(hasCoreEnclave).intersection(set(cantFill))),\"are enclaveOnly (are contig)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "id": "5553b5dc-9068-4f57-b8cc-52c3b0cbb04f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00335 0.16099\n",
      "CCB cluster 0 = unit 6289 with pop 97574.0 now has use of 1.0203375615537265\n",
      "CCB cluster 1 = unit 6290 with pop 58240.0 now has use of 1.0187090955441298\n",
      "CCB cluster 2 = unit 6291 with pop 37102.0 now has use of 1.0201354334541757\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "id": "4d73e940-678e-4d9b-afea-56d6ea1bc5e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "#HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "id": "3778bd30-15c4-466d-accd-0da3ee80c72f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 177 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u],0.1)\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "id": "985174cd-525e-4abd-8f85-7259f9e288e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {6289, 6290, 6291}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1602\n",
      "working on avg unit-to-HDcp dist for HD 2402\n",
      "working on avg unit-to-HDcp dist for HD 3203\n",
      "working on avg unit-to-HDcp dist for HD 4004\n",
      "working on avg unit-to-HDcp dist for HD 4806\n",
      "working on avg unit-to-HDcp dist for HD 5606\n",
      "working on avg unit-to-HDcp dist for HD 6406\n",
      "working on avg unit-to-HDcp dist for HD 7206\n",
      "working on avg unit-to-HDcp dist for HD 8006\n",
      "working on avg unit-to-HDcp dist for HD 8807\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "id": "2cae9189-626c-4f57-976b-8a82bdbbb39a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How tight are our current unit usages around Cincy and Cleveland?\n",
      "unit usages for units in county 17\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit usages for units in county 30\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"How tight are our current unit usages around Cincy and Cleveland?\")\n",
    "coreUnitUse, envUnitUse, otherUnitUse = [0.]*nUnits, [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        if t in coreVTDs:\n",
    "            coreUnitUse[u] += nDistricts * HDweight[t]\n",
    "        elif t in envelopeVs:\n",
    "            envUnitUse[u] += nDistricts * HDweight[t]\n",
    "        else:\n",
    "            otherUnitUse[u] += nDistricts * HDweight[t]\n",
    "for c in barredVTDfusingCounties:\n",
    "    print(\"unit usages for units in county\",c)\n",
    "    plt.hist([coreUnitUse[u] for u in countyUnitList[c]],label=\"usage by coreVTDs\",histtype=\"step\",bins=50)\n",
    "    plt.hist([envUnitUse[u] for u in countyUnitList[c]],label=\"usage by envVTDs\",histtype=\"step\",bins=50)\n",
    "    plt.hist([otherUnitUse[u] for u in countyUnitList[c]],label=\"usage by other HDs\",histtype=\"step\",bins=50)\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "8a73f6b1-4ad1-4bf1-9c6a-1a1d59657ca7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updated classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 9\n",
      "working on HD 1402 time is now 26\n",
      "working on HD 2102 time is now 32\n",
      "working on HD 2802 time is now 41\n",
      "working on HD 3503 time is now 48\n",
      "working on HD 4204 time is now 64\n",
      "working on HD 4906 time is now 89\n",
      "working on HD 5606 time is now 106\n",
      "working on HD 6306 time is now 113\n",
      "working on HD 7006 time is now 117\n",
      "working on HD 7706 time is now 123\n",
      "working on HD 8407 time is now 129\n",
      "out of 8934 total HDs, there were 8507.0 contiguous and 8445.0 complement-contiguous HDs\n",
      "312 HDs had both discontiguity problems, while enclave-only = 177 and discontig only= 115\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"updated classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "44ef59ac-a53b-4e93-91fc-aea1ee636246",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for 850 HD VTDs within coreVTDs ... \n",
      "0 at least discontig\n",
      "0 encl only\n",
      "0 bothProb\n",
      "for 315 HD VTDs within envelopeVs ... \n",
      "0 at least discontig\n",
      "0 encl only\n",
      "0 bothProb\n",
      "for 7769 HD VTDs within other HD centers ... \n",
      "427 at least discontig\n",
      "177 encl only\n",
      "312 bothProb\n"
     ]
    }
   ],
   "source": [
    "setName = [\"coreVTDs\",\"envelopeVs\",\"other HD centers\"]\n",
    "for jj,SET in enumerate([set(coreVTDs), set(envelopeVs), set(HDsToDraw)]):\n",
    "    print(\"for\",len(SET), \"HD VTDs within\",setName[jj],\"... \")\n",
    "    for i, LIST in enumerate([sPgenerator,eLgenerator,doubleTroubleList]):\n",
    "        NAME = [\"at least discontig\", \"encl only\",\"bothProb\"]\n",
    "        print(len(set(LIST).intersection(SET)), NAME[i] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b760b565-a3d8-4968-8249-dad5f0a66c67",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "id": "a722c870-a864-4405-a415-6fe03cef9006",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the contig pops for discontig Us relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "... and here are the HD centers with contig pop < 0.7 * aDP ...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 192 HDs with major contig fails\n"
     ]
    }
   ],
   "source": [
    "contigHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in sPgenerator :\n",
    "    uCenterDist = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t]]\n",
    "    starterU = HDunitList[t][uCenterDist.index(np.min(uCenterDist))]\n",
    "    contigUs = getContigFromStarter(starterU,HDunitList[t],unitNbrs)\n",
    "    contigHDpop[t] = np.sum([unitPop[u] for u in contigUs] )\n",
    "print(\"here are the contig pops for discontig Us relative to aDP\")\n",
    "plt.hist([contigHDpop[t]/aDP for t in sPgenerator + doubleTroubleList])\n",
    "plt.show()\n",
    "print(\"... and here are the HD centers with contig pop < 0.7 * aDP ...\")\n",
    "FAILlist = list()\n",
    "for t in popHDlist:\n",
    "    if contigHDpop[t] < 0.7 * aDP:\n",
    "        FAILlist.append(t)\n",
    "        plotPoly(tractGeom[t])\n",
    "plotPoly(MAP)\n",
    "plt.show()\n",
    "print(\"there are\",len(FAILlist),\"HDs with major contig fails\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "id": "90a50c12-7c3f-4c08-9b26-452cc5879a6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "visualizing a couple of these major fails\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"visualizing a couple of these major fails\")\n",
    "n=30\n",
    "for t in FAILlist[n:n+2] :\n",
    "    #plotPoly(MAP)\n",
    "    plotPoly(hdCP[t].buffer(0.1))\n",
    "    uCenterDist = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t]]\n",
    "    starterU = HDunitList[t][uCenterDist.index(np.min(uCenterDist))]\n",
    "    plotPoly(unitCP[starterU].buffer(0.05))\n",
    "    contigUs = getContigFromStarter(starterU,HDunitList[t],unitNbrs)\n",
    "    for u in HDunitList[t]:\n",
    "        if u in contigUs:\n",
    "            plotPoly(unitGeom[u])\n",
    "        else:\n",
    "            plotPoly(unitGeom[u],0.2)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5afd232-9810-4ef3-be20-b8fb2ffed0c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see VRA-HD-WI for attempted linkers for near-border major discontiguity - not tried for OH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "3c2d2e3b-0e6e-4698-b5cd-90a1b9bff214",
   "metadata": {},
   "outputs": [],
   "source": [
    "readyToMustFreeList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "id": "a1128e1d-7b52-45d7-b8ae-b7055c28ff2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "run the MUSTFREE CODE\n",
      "this code will solve large enclaves so HD and complement are contiguous for 177 HDs\n",
      "working on HD 12 cantFill 0 of 177 .Time is now 2\n",
      "working on HD 219 cantFill 20 of 177 .Time is now 9\n",
      "working on HD 597 cantFill 40 of 177 .Time is now 11\n",
      "working on HD 702 cantFill 60 of 177 .Time is now 12\n",
      "working on HD 2062 cantFill 80 of 177 .Time is now 24\n",
      "working on HD 2440 cantFill 100 of 177 .Time is now 25\n",
      "working on HD 4076 cantFill 120 of 177 .Time is now 28\n",
      "working on HD 5609 cantFill 140 of 177 .Time is now 37\n",
      "working on HD 8645 cantFill 160 of 177 .Time is now 43\n"
     ]
    }
   ],
   "source": [
    "print(\"run the MUSTFREE CODE\")\n",
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "targetList = cantFill.copy()\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(targetList),\"HDs\")\n",
    "for iii,t in enumerate(targetList):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(targetList),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "id": "dad66700-9f5e-494f-8a99-7a91e0ee84d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.00308 0.16059\n",
      "CCB cluster 0 = unit 6289 with pop 97574.0 now has use of 1.0203375615537265\n",
      "CCB cluster 1 = unit 6290 with pop 58240.0 now has use of 1.0187090955441298\n",
      "CCB cluster 2 = unit 6291 with pop 37102.0 now has use of 1.016802226680435\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "9e18db82-86c6-41a4-84de-7f617f4d5d85",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updated classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 4\n",
      "working on HD 1402 time is now 19\n",
      "working on HD 2102 time is now 22\n",
      "working on HD 2802 time is now 27\n",
      "working on HD 3503 time is now 33\n",
      "working on HD 4204 time is now 46\n",
      "working on HD 4906 time is now 67\n",
      "working on HD 5606 time is now 81\n",
      "working on HD 6306 time is now 87\n",
      "working on HD 7006 time is now 92\n",
      "working on HD 7706 time is now 97\n",
      "working on HD 8407 time is now 102\n",
      "out of 8934 total HDs, there were 8488.0 contiguous and 8622.0 complement-contiguous HDs\n",
      "312 HDs had both discontiguity problems, while enclave-only = 0 and discontig only= 134\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"updated classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "id": "ad729d71-248b-4b35-96d9-aad02fc7285e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we have a total of 446 stubborn HDs with contiguity problems\n",
      "All HDdiam's calculated\n"
     ]
    }
   ],
   "source": [
    "preMustSwellList = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "triageList = list(set(sPgenerator+eLgenerator+doubleTroubleList))\n",
    "listToFix = list()\n",
    "for t in triageList:\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4)\n",
    "    if not (unbroken and noEnclave):\n",
    "        listToFix.append(t)\n",
    "\n",
    "print(\"we have a total of\",len(listToFix),\"stubborn HDs with contiguity problems\")\n",
    "HDdiam = [0.]*nHDs  #about 1 min per 4000 500-unit HDs\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:  #create a crude average diameter = weighted mean distance from each unit to center\n",
    "        HDdiam[t] += unitPop[u]/HDvPop[t] * unitCP[u].distance(hdCP[t])\n",
    "print(\"All HDdiam's calculated\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "id": "1e8405de-1ca0-4309-9de9-b7d7599246d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we will now force all in 446 listToFix to be contiguous and nil-enclave\n",
      "Let's first recalc unitUse\n",
      "Strategy:  1 - reduce HD to its primary contiguous piece.\n",
      "  If this is enclavy, fill enclaves if can do under aDP.  If too much enclave pop, remove some border units from this contig piece\n",
      "  If discontig piece not enclavy, simply grow contiguously until fill\n",
      "fixing HD 4148 0 of 446 elapsed sec = 0\n",
      "fixing HD 4247 10 of 446 elapsed sec = 28\n",
      "fixing HD 187 20 of 446 elapsed sec = 39\n",
      "fixing HD 4302 30 of 446 elapsed sec = 51\n",
      "fixing HD 309 40 of 446 elapsed sec = 66\n",
      "fixing HD 4436 50 of 446 elapsed sec = 97\n",
      "fixing HD 4467 60 of 446 elapsed sec = 112\n",
      "fixing HD 4486 70 of 446 elapsed sec = 139\n",
      "fixing HD 4497 80 of 446 elapsed sec = 182\n",
      "fixing HD 4528 90 of 446 elapsed sec = 192\n",
      "fixing HD 4586 100 of 446 elapsed sec = 210\n",
      "fixing HD 4604 110 of 446 elapsed sec = 218\n",
      "fixing HD 2589 120 of 446 elapsed sec = 227\n",
      "fixing HD 599 130 of 446 elapsed sec = 241\n",
      "fixing HD 4762 140 of 446 elapsed sec = 249\n",
      "fixing HD 4782 150 of 446 elapsed sec = 267\n",
      "fixing HD 4794 160 of 446 elapsed sec = 285\n",
      "fixing HD 4826 170 of 446 elapsed sec = 316\n",
      "fixing HD 743 180 of 446 elapsed sec = 322\n",
      "fixing HD 769 190 of 446 elapsed sec = 342\n",
      "fixing HD 845 200 of 446 elapsed sec = 354\n",
      "fixing HD 4953 210 of 446 elapsed sec = 390\n",
      "fixing HD 4968 220 of 446 elapsed sec = 427\n",
      "fixing HD 4988 230 of 446 elapsed sec = 456\n",
      "fixing HD 2979 240 of 446 elapsed sec = 465\n",
      "fixing HD 951 250 of 446 elapsed sec = 477\n",
      "fixing HD 5061 260 of 446 elapsed sec = 492\n",
      "fixing HD 980 270 of 446 elapsed sec = 511\n",
      "fixing HD 5087 280 of 446 elapsed sec = 528\n",
      "fixing HD 5098 290 of 446 elapsed sec = 564\n",
      "fixing HD 1031 300 of 446 elapsed sec = 568\n",
      "fixing HD 1051 310 of 446 elapsed sec = 587\n",
      "fixing HD 3147 320 of 446 elapsed sec = 595\n",
      "fixing HD 1123 330 of 446 elapsed sec = 610\n",
      "fixing HD 3199 340 of 446 elapsed sec = 624\n",
      "fixing HD 5534 350 of 446 elapsed sec = 696\n",
      "fixing HD 5570 360 of 446 elapsed sec = 822\n",
      "fixing HD 5632 370 of 446 elapsed sec = 872\n",
      "fixing HD 3621 380 of 446 elapsed sec = 888\n",
      "for HD 3634 we are starting from the home unit 1856 . Working on fixable HD 385\n",
      "fixing HD 3749 390 of 446 elapsed sec = 907\n",
      "fixing HD 5847 400 of 446 elapsed sec = 924\n",
      "fixing HD 5988 410 of 446 elapsed sec = 960\n",
      "fixing HD 3967 420 of 446 elapsed sec = 978\n",
      "fixing HD 4008 430 of 446 elapsed sec = 1005\n",
      "fixing HD 4067 440 of 446 elapsed sec = 1010\n"
     ]
    }
   ],
   "source": [
    "print(\"we will now force all in\",len(listToFix),\"listToFix to be contiguous and nil-enclave\")\n",
    "print(\"Let's first recalc unitUse\")\n",
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "print(\"Strategy:  1 - reduce HD to its primary contiguous piece.\")\n",
    "print(\"  If this is enclavy, fill enclaves if can do under aDP.  If too much enclave pop, remove some border units from this contig piece\")\n",
    "print(\"  If discontig piece not enclavy, simply grow contiguously until fill\")\n",
    "CCBset = set()\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "for j in range(nCCBs):\n",
    "    CCBset.add( allUnits.index(j+0.25) )\n",
    "    \n",
    "for ijk,t in enumerate(listToFix):\n",
    "    if ijk%10 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"fixing HD\",t,ijk,\"of\",len(listToFix),\"elapsed sec =\",int(SEC) )\n",
    "    uCenterDist = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t]]\n",
    "    starterU = HDunitList[t][uCenterDist.index(np.min(uCenterDist))]\n",
    "    contigUs = getContigFromStarter(starterU,HDunitList[t],unitNbrs)\n",
    "    contigPop = np.sum([unitPop[u] for u in contigUs])\n",
    "    enclaveLists = getEnclaveLists(contigUs,unitNbrs)\n",
    "    ePop = np.sum([np.sum([unitPop[uu] for uu in eL]) for eL in enclaveLists])\n",
    "    shedBorderUset = set()\n",
    "    if ePop < 0.1 * aDP or contigPop + ePop < 1.2 * aDP:\n",
    "        contigList = contigUs.copy()\n",
    "        for eL in enclaveLists:\n",
    "            contigList += eL\n",
    "    else:  #severe enclave.  Jettison all but closest contiguous set of in HD border units, unless ...\n",
    "        #   we have a CCBu, then that is the starter for the contig boundary list we're saving (to not jettison too many CCBus)\n",
    "        contigBorderUs = list(set(contigUs).intersection(borderSet))\n",
    "        if len(contigBorderUs) > 0:\n",
    "            hasCCBu, CCBu = False, -999\n",
    "            CCBsInHD = set(contigBorderUs).intersection(CCBset)\n",
    "            for u in CCBsInHD:\n",
    "                hasCCBu = True  #these will be found in random order\n",
    "                CCBu = u\n",
    "            if hasCCBu:\n",
    "                starterBorderU = CCBu\n",
    "            else:\n",
    "                borderDist = [hdCP[t].distance(unitCP[u]) for u in contigBorderUs]\n",
    "                starterBorderU = borderDist.index(np.min(borderDist))\n",
    "            keptBorderUs = getContigFromStarter(starterBorderU, contigBorderUs, unitNbrs)\n",
    "            shedBorderUset = set(contigBorderUs).difference(set(keptBorderUs))  #this is like a MUSTFREE operation\n",
    "    contigList = list( set(contigList).difference(shedBorderUset) )\n",
    "\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(contigList, unitNbrs,6)\n",
    "    if not (unbroken and noEnclave):  #likely that jettisoning border units created a discontiguity\n",
    "        contigList = [starterU]  #KISS\n",
    "        print(\"for HD\",t,\"we are starting from the home unit\",starterU,\". Working on fixable HD\",ijk)\n",
    "    \n",
    "    contigPop = np.sum([unitPop[u] for u in contigList])\n",
    "    currPoly = hdCP[t]\n",
    "    for u in contigList:\n",
    "        currPoly = currPoly.union(unitCP[u])  #draw a crude 'polygon' = points collection for below distance calc\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigList.copy(), list()\n",
    "    adjoiners = list(set(getAdjoiners(currList, unitNbrs)).difference(coreUset))  #exclude core VRA units\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "        currPoly) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "    stillGoing = True\n",
    "\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap and uu not in coreUset:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                        currPoly) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigList)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigList + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    #HDnAddedUnits[t] = len(addedList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "id": "89d08c99-0597-4f73-b5bf-23dbf57d8fe7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updated classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 4\n",
      "working on HD 1402 time is now 8\n",
      "working on HD 2102 time is now 11\n",
      "working on HD 2802 time is now 15\n",
      "working on HD 3503 time is now 18\n",
      "working on HD 4204 time is now 23\n",
      "working on HD 4906 time is now 28\n",
      "working on HD 5606 time is now 34\n",
      "working on HD 6306 time is now 39\n",
      "working on HD 7006 time is now 43\n",
      "working on HD 7706 time is now 48\n",
      "working on HD 8407 time is now 52\n",
      "out of 8934 total HDs, there were 8934.0 contiguous and 8934.0 complement-contiguous HDs\n",
      "0 HDs had both discontiguity problems, while enclave-only = 0 and discontig only= 0\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"updated classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "id": "6c1fadc4-cf37-4a8d-9865-d01221f39a95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAcontigOffPop.csv\" #\"contigUnpatchedB.csv\"  #underPatched\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "id": "be7851e4-8a10-4a64-9b4e-afdab9048078",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 2328 HDs with pop < 782696 to within 1520\n",
      "working on squaring up HD 2 time is now 0\n",
      "working on squaring up HD 98 time is now 8\n",
      "working on squaring up HD 219 time is now 20\n",
      "working on squaring up HD 311 time is now 24\n",
      "working on squaring up HD 436 time is now 31\n",
      "working on squaring up HD 568 time is now 35\n",
      "working on squaring up HD 715 time is now 53\n",
      "working on squaring up HD 867 time is now 54\n",
      "working on squaring up HD 1163 time is now 55\n",
      "working on squaring up HD 1716 time is now 56\n",
      "working on squaring up HD 1843 time is now 58\n",
      "working on squaring up HD 2009 time is now 59\n",
      "working on squaring up HD 2179 time is now 61\n",
      "working on squaring up HD 2344 time is now 67\n",
      "working on squaring up HD 2406 time is now 69\n",
      "working on squaring up HD 2463 time is now 70\n",
      "working on squaring up HD 2601 time is now 73\n",
      "working on squaring up HD 2775 time is now 76\n",
      "working on squaring up HD 2876 time is now 81\n",
      "working on squaring up HD 2992 time is now 85\n",
      "working on squaring up HD 3168 time is now 87\n",
      "working on squaring up HD 3355 time is now 88\n",
      "working on squaring up HD 3543 time is now 91\n",
      "working on squaring up HD 3702 time is now 94\n",
      "working on squaring up HD 4118 time is now 95\n",
      "working on squaring up HD 4430 time is now 103\n",
      "working on squaring up HD 4668 time is now 112\n",
      "working on squaring up HD 4734 time is now 122\n",
      "working on squaring up HD 4914 time is now 123\n",
      "working on squaring up HD 5090 time is now 125\n",
      "working on squaring up HD 5290 time is now 126\n",
      "working on squaring up HD 5359 time is now 128\n",
      "working on squaring up HD 5434 time is now 132\n",
      "working on squaring up HD 5533 time is now 138\n",
      "working on squaring up HD 5697 time is now 143\n",
      "working on squaring up HD 5822 time is now 144\n",
      "working on squaring up HD 5942 time is now 149\n",
      "working on squaring up HD 6156 time is now 156\n",
      "working on squaring up HD 6377 time is now 157\n",
      "working on squaring up HD 6556 time is now 158\n",
      "working on squaring up HD 6682 time is now 168\n",
      "working on squaring up HD 6800 time is now 169\n",
      "working on squaring up HD 6898 time is now 171\n",
      "working on squaring up HD 6992 time is now 173\n",
      "working on squaring up HD 7099 time is now 176\n",
      "working on squaring up HD 7184 time is now 178\n",
      "working on squaring up HD 7283 time is now 179\n",
      "working on squaring up HD 7406 time is now 182\n",
      "working on squaring up HD 7511 time is now 183\n",
      "working on squaring up HD 7614 time is now 184\n",
      "working on squaring up HD 7763 time is now 189\n",
      "working on squaring up HD 7968 time is now 190\n",
      "working on squaring up HD 8067 time is now 193\n",
      "working on squaring up HD 8246 time is now 194\n",
      "working on squaring up HD 8423 time is now 196\n",
      "working on squaring up HD 8531 time is now 199\n",
      "working on squaring up HD 8619 time is now 202\n",
      "working on squaring up HD 8729 time is now 205\n",
      "working on squaring up HD 8921 time is now 211\n",
      "We have addressed underpop in a total of 2328 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED - here, we've not yet adopted avoidedEnclave but we now disallow picking up VRA coreUs\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.995 * aDP, 1.005 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) ) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%40 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits) \n",
    "            #       not sure if avoidedEnclave(HDunitList[t], unitNbrs, [unitNoToAdd]) is robust\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "id": "fe4dfd92-8bc5-4e76-b2a2-76f60b2e66dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "amped unit avg and sd usage are 1.00608 0.15829\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is [6289, 6290, 6291]\n",
      "6289 0.9785733197010569\n",
      "6290 0.9844299496044218\n",
      "6291 1.0081730094492563\n",
      "[6289, 6290, 6291] {6289, 6290, 6291}\n"
     ]
    }
   ],
   "source": [
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "#print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()\n",
    "\n",
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "barredJettisonSet = list()\n",
    "for u in range(nUnits):\n",
    "    if abs(allUnits[u] - int(allUnits[u]) - 0.25) < 0.01:\n",
    "        barredJettisonSet.append(u)\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)\n",
    "for u in barredJettisonSet:\n",
    "    print(u,unitUse[u])\n",
    "\n",
    "origBarredJettisonSet = set(list(barredJettisonSet))\n",
    "for u in origBarredJettisonSet:\n",
    "    if unitUse[u] > 1.04:\n",
    "        barredJettisonSet.remove(u)  #this one is overused in this state\n",
    "print(barredJettisonSet, origBarredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "id": "31823195-d300-4938-9178-0c83d17a00e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 2148 overPopped HDs to within 1520\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 238 time is now 4\n",
      "working on squaring down HD 402 time is now 10\n",
      "working on squaring down HD 616 time is now 18\n",
      "working on squaring down HD 716 time is now 23\n",
      "working on squaring down HD 990 time is now 29\n",
      "working on squaring down HD 1767 time is now 33\n",
      "working on squaring down HD 1923 time is now 40\n",
      "working on squaring down HD 2007 time is now 48\n",
      "working on squaring down HD 2088 time is now 56\n",
      "working on squaring down HD 2288 time is now 66\n",
      "working on squaring down HD 2502 time is now 71\n",
      "working on squaring down HD 2700 time is now 75\n",
      "working on squaring down HD 2963 time is now 79\n",
      "working on squaring down HD 3146 time is now 80\n",
      "working on squaring down HD 3354 time is now 83\n",
      "working on squaring down HD 3536 time is now 86\n",
      "working on squaring down HD 3812 time is now 91\n",
      "working on squaring down HD 4461 time is now 99\n",
      "working on squaring down HD 5025 time is now 103\n",
      "working on squaring down HD 5470 time is now 108\n",
      "working on squaring down HD 5752 time is now 125\n",
      "working on squaring down HD 5955 time is now 129\n",
      "working on squaring down HD 6239 time is now 132\n",
      "working on squaring down HD 6447 time is now 134\n",
      "working on squaring down HD 6662 time is now 137\n",
      "working on squaring down HD 6897 time is now 140\n",
      "working on squaring down HD 7075 time is now 142\n",
      "working on squaring down HD 7315 time is now 145\n",
      "working on squaring down HD 7470 time is now 148\n",
      "working on squaring down HD 7670 time is now 152\n",
      "working on squaring down HD 7834 time is now 155\n",
      "working on squaring down HD 8040 time is now 158\n",
      "working on squaring down HD 8271 time is now 165\n",
      "working on squaring down HD 8460 time is now 172\n",
      "working on squaring down HD 8800 time is now 177\n",
      "We have addressed overpop in a total of 2148 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #the barred set is dynamic; we stop shedding upon underuse. \n",
    "#   but not yet using avoidedIsland timesaver,  \n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                #contig = avoidedIsland(tryList, unitNbrs, [unitNoToShed] )  #new for MO - faster contig check\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                #if contig:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "id": "2109057c-54e6-4c25-bc30-d14caa29e493",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.00608 0.15829\n",
      "shed unit avg and sd usage are 1.00129 0.15586\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 1202 out of 8941\n",
      "working on HD 1802 out of 8941\n",
      "working on HD 2402 out of 8941\n",
      "working on HD 3003 out of 8941\n",
      "working on HD 3603 out of 8941\n",
      "working on HD 4204 out of 8941\n",
      "working on HD 4806 out of 8941\n",
      "working on HD 5406 out of 8941\n",
      "working on HD 6006 out of 8941\n",
      "working on HD 6606 out of 8941\n",
      "working on HD 7206 out of 8941\n",
      "working on HD 7806 out of 8941\n",
      "working on HD 8407 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 2328\n",
      "overpop contigFail, enclaveFail = 0 0 out of 2148\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 6289 with pop 97574.0 now has use 0.97857\n",
      "CCB unit 6290 with pop 58240.0 now has use 0.98443\n",
      "CCB unit 6291 with pop 37102.0 now has use 1.00817\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )\n",
    "\n",
    "#NOTE - ignore the use = 1.1 stick in amped below - an artifact of use calculation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "id": "7ebdd05c-eea4-4c18-b34f-41bd8e6c21fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAcontigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4bb902d-5e55-429a-870d-5395f49d3c04",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "id": "e9b59389-b643-4844-9d87-d2e0bc511ddc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "working avg precinct-to-HDcP distance for HD 2400\n",
      "working avg precinct-to-HDcP distance for HD 3200\n",
      "working avg precinct-to-HDcP distance for HD 4000\n",
      "working avg precinct-to-HDcP distance for HD 4800\n",
      "working avg precinct-to-HDcP distance for HD 5600\n",
      "working avg precinct-to-HDcP distance for HD 6400\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "id": "c30cf6d4-37e3-4639-8739-549ae1673d23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used.  Using new-for-WI avoidedEnclave routines\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 1920 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 200\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.98 0.98\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 2792 units out of 6292 with usage below 0.98\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 39331\n",
      "current avg and SD of unit usage are 1.00129 0.15586 . Now trying to increase up to 200 units' underusage\n",
      "all done trying to increase usage of unit 363 final usage = 0.98006 44 sec elapsed 237 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00133 0.14986\n",
      "all done trying to increase usage of unit 597 final usage = 0.67191 87 sec elapsed 64 48 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00133 0.14883\n",
      "all done trying to increase usage of unit 552 final usage = 0.9806 173 sec elapsed 253 9 successful, failed patches, couldn't start= 33\n",
      "current avg and SD of usage are 1.00135 0.1442\n",
      "all done trying to increase usage of unit 544 final usage = 0.98168 267 sec elapsed 214 3 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00134 0.14089\n",
      "all done trying to increase usage of unit 287 final usage = 0.98235 354 sec elapsed 199 32 successful, failed patches, couldn't start= 84\n",
      "current avg and SD of usage are 1.00136 0.13723\n",
      "all done trying to increase usage of unit 553 final usage = 0.74691 471 sec elapsed 72 170 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00136 0.1364\n",
      "all done trying to increase usage of unit 3711 final usage = 0.69863 499 sec elapsed 42 9 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00137 0.13588\n",
      "all done trying to increase usage of unit 3719 final usage = 0.71968 526 sec elapsed 42 8 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00137 0.13547\n",
      "all done trying to increase usage of unit 3664 final usage = 0.75198 553 sec elapsed 55 1 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00137 0.13484\n",
      "begin usage increase for unit 3674 with usage 0.65813 . Sec, total UU units tried = 555 10\n",
      "all done trying to increase usage of unit 3674 final usage = 0.77421 587 sec elapsed 72 1 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00137 0.13402\n",
      "all done trying to increase usage of unit 4207 final usage = 0.78927 641 sec elapsed 66 47 successful, failed patches, couldn't start= 19\n",
      "current avg and SD of usage are 1.00137 0.13305\n",
      "all done trying to increase usage of unit 4185 final usage = 0.79306 690 sec elapsed 68 8 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00137 0.13223\n",
      "all done trying to increase usage of unit 3667 final usage = 0.75798 721 sec elapsed 53 32 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00137 0.13183\n",
      "all done trying to increase usage of unit 559 final usage = 0.98211 838 sec elapsed 186 36 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00138 0.12912\n",
      "all done trying to increase usage of unit 515 final usage = 0.83952 897 sec elapsed 106 20 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00138 0.12799\n",
      "all done trying to increase usage of unit 3694 final usage = 0.75457 935 sec elapsed 42 40 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00138 0.12761\n",
      "all done trying to increase usage of unit 3698 final usage = 0.75114 969 sec elapsed 41 31 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00138 0.12723\n",
      "all done trying to increase usage of unit 565 final usage = 0.95131 1155 sec elapsed 170 154 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00139 0.12486\n",
      "all done trying to increase usage of unit 578 final usage = 0.98035 1293 sec elapsed 173 37 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00139 0.12301\n",
      "begin usage increase for unit 4169 with usage 0.70058 . Sec, total UU units tried = 1295 20\n",
      "all done trying to increase usage of unit 4169 final usage = 0.79221 1338 sec elapsed 56 15 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00139 0.12243\n",
      "all done trying to increase usage of unit 3643 final usage = 0.80585 1364 sec elapsed 73 13 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.0014 0.12157\n",
      "all done trying to increase usage of unit 568 final usage = 0.98077 1491 sec elapsed 163 12 successful, failed patches, couldn't start= 105\n",
      "current avg and SD of usage are 1.0014 0.11977\n",
      "all done trying to increase usage of unit 1297 final usage = 0.81394 1525 sec elapsed 62 9 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00141 0.11903\n",
      "all done trying to increase usage of unit 537 final usage = 0.98145 1649 sec elapsed 165 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00141 0.11755\n",
      "all done trying to increase usage of unit 535 final usage = 0.98083 1798 sec elapsed 163 10 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.0014 0.1164\n",
      "all done trying to increase usage of unit 3673 final usage = 0.81935 1846 sec elapsed 66 39 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00141 0.11595\n",
      "all done trying to increase usage of unit 3661 final usage = 0.82071 1880 sec elapsed 69 2 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00141 0.11539\n",
      "all done trying to increase usage of unit 579 final usage = 0.98116 2019 sec elapsed 159 3 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00141 0.1144\n",
      "all done trying to increase usage of unit 3720 final usage = 0.77806 2054 sec elapsed 36 19 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.00141 0.11415\n",
      "begin usage increase for unit 3658 with usage 0.72484 . Sec, total UU units tried = 2056 30\n",
      "all done trying to increase usage of unit 3658 final usage = 0.80332 2085 sec elapsed 48 15 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00141 0.11376\n",
      "all done trying to increase usage of unit 3984 final usage = 0.81631 2118 sec elapsed 50 20 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00141 0.1132\n",
      "all done trying to increase usage of unit 592 final usage = 0.852 2314 sec elapsed 90 142 successful, failed patches, couldn't start= 58\n",
      "current avg and SD of usage are 1.00141 0.11247\n",
      "all done trying to increase usage of unit 263 final usage = 0.98108 2458 sec elapsed 162 132 successful, failed patches, couldn't start= 52\n",
      "current avg and SD of usage are 1.00142 0.11061\n",
      "all done trying to increase usage of unit 3709 final usage = 0.80493 2491 sec elapsed 42 18 successful, failed patches, couldn't start= 26\n",
      "current avg and SD of usage are 1.00142 0.11031\n",
      "all done trying to increase usage of unit 4214 final usage = 0.83021 2536 sec elapsed 59 15 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00142 0.10968\n",
      "all done trying to increase usage of unit 1311 final usage = 0.88855 2572 sec elapsed 87 15 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00143 0.10872\n",
      "all done trying to increase usage of unit 3730 final usage = 0.84722 2611 sec elapsed 67 26 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00144 0.10817\n",
      "all done trying to increase usage of unit 595 final usage = 0.95347 2822 sec elapsed 141 122 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00144 0.10733\n",
      "all done trying to increase usage of unit 390 final usage = 0.94418 2959 sec elapsed 110 179 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00144 0.10626\n",
      "begin usage increase for unit 4116 with usage 0.74304 . Sec, total UU units tried = 2960 40\n",
      "all done trying to increase usage of unit 4116 final usage = 0.84885 3034 sec elapsed 60 31 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00144 0.10564\n",
      "all done trying to increase usage of unit 3629 final usage = 0.87571 3062 sec elapsed 89 7 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00144 0.10471\n",
      "all done trying to increase usage of unit 3676 final usage = 0.8651 3106 sec elapsed 72 32 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00144 0.10424\n",
      "all done trying to increase usage of unit 4188 final usage = 0.87826 3168 sec elapsed 74 17 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00144 0.10356\n",
      "all done trying to increase usage of unit 3672 final usage = 0.96835 3231 sec elapsed 132 37 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00145 0.1026\n",
      "all done trying to increase usage of unit 549 final usage = 0.98254 3362 sec elapsed 136 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00145 0.10208\n",
      "all done trying to increase usage of unit 503 final usage = 0.98083 3469 sec elapsed 138 9 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00145 0.10115\n",
      "all done trying to increase usage of unit 4039 final usage = 0.8186 3512 sec elapsed 40 15 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00145 0.10077\n",
      "all done trying to increase usage of unit 3655 final usage = 0.77354 3607 sec elapsed 9 164 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00145 0.10071\n",
      "all done trying to increase usage of unit 3703 final usage = 0.97823 3692 sec elapsed 158 15 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00145 0.09983\n",
      "begin usage increase for unit 4120 with usage 0.75322 . Sec, total UU units tried = 3694 50\n",
      "all done trying to increase usage of unit 4120 final usage = 0.87995 3773 sec elapsed 80 25 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00145 0.09911\n",
      "all done trying to increase usage of unit 3644 final usage = 0.91097 3848 sec elapsed 96 54 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00146 0.09838\n",
      "all done trying to increase usage of unit 1190 final usage = 0.97188 3897 sec elapsed 113 14 successful, failed patches, couldn't start= 38\n",
      "current avg and SD of usage are 1.00146 0.09751\n",
      "all done trying to increase usage of unit 548 final usage = 0.98484 4033 sec elapsed 129 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00146 0.0969\n",
      "all done trying to increase usage of unit 3650 final usage = 0.91507 4125 sec elapsed 99 79 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00146 0.09628\n",
      "all done trying to increase usage of unit 3647 final usage = 0.92425 4210 sec elapsed 106 46 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00147 0.09571\n",
      "all done trying to increase usage of unit 3648 final usage = 0.88793 4286 sec elapsed 72 80 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00147 0.09534\n",
      "all done trying to increase usage of unit 4294 final usage = 0.91816 4339 sec elapsed 97 35 successful, failed patches, couldn't start= 17\n",
      "current avg and SD of usage are 1.00147 0.09476\n",
      "all done trying to increase usage of unit 4072 final usage = 0.93717 4418 sec elapsed 94 8 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00147 0.09392\n",
      "all done trying to increase usage of unit 4164 final usage = 0.93996 4494 sec elapsed 94 3 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00147 0.09317\n",
      "begin usage increase for unit 3666 with usage 0.77773 . Sec, total UU units tried = 4496 60\n",
      "all done trying to increase usage of unit 3666 final usage = 0.98011 4564 sec elapsed 126 24 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00147 0.09254\n",
      "all done trying to increase usage of unit 557 final usage = 0.98025 4711 sec elapsed 125 41 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00147 0.09191\n",
      "all done trying to increase usage of unit 3727 final usage = 0.9614 4790 sec elapsed 129 22 successful, failed patches, couldn't start= 54\n",
      "current avg and SD of usage are 1.00147 0.0914\n",
      "all done trying to increase usage of unit 554 final usage = 0.9803 4879 sec elapsed 122 3 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00147 0.09089\n",
      "all done trying to increase usage of unit 4138 final usage = 0.92105 4946 sec elapsed 90 6 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00147 0.09019\n",
      "all done trying to increase usage of unit 4363 final usage = 0.90152 5000 sec elapsed 82 69 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00148 0.08972\n",
      "all done trying to increase usage of unit 4131 final usage = 0.92948 5129 sec elapsed 90 67 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00148 0.08892\n",
      "all done trying to increase usage of unit 3981 final usage = 0.86879 5159 sec elapsed 46 8 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00149 0.08849\n",
      "all done trying to increase usage of unit 3665 final usage = 0.98123 5240 sec elapsed 116 35 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00148 0.08806\n",
      "all done trying to increase usage of unit 4335 final usage = 0.95962 5293 sec elapsed 124 36 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00149 0.08739\n",
      "begin usage increase for unit 361 with usage 0.7934 . Sec, total UU units tried = 5295 70\n",
      "all done trying to increase usage of unit 361 final usage = 0.98007 5383 sec elapsed 105 40 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00149 0.08647\n",
      "all done trying to increase usage of unit 4132 final usage = 0.98017 5492 sec elapsed 116 3 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00149 0.08581\n",
      "all done trying to increase usage of unit 4033 final usage = 0.91175 5569 sec elapsed 64 24 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00149 0.08544\n",
      "all done trying to increase usage of unit 4133 final usage = 0.9805 5670 sec elapsed 106 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00149 0.08498\n",
      "all done trying to increase usage of unit 196 final usage = 0.94295 5740 sec elapsed 90 32 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00149 0.0843\n",
      "all done trying to increase usage of unit 3663 final usage = 0.98098 5829 sec elapsed 108 34 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00149 0.08392\n",
      "all done trying to increase usage of unit 556 final usage = 0.98077 5941 sec elapsed 119 10 successful, failed patches, couldn't start= 64\n",
      "current avg and SD of usage are 1.00149 0.08339\n",
      "all done trying to increase usage of unit 3628 final usage = 0.98036 5982 sec elapsed 107 10 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.0015 0.08262\n",
      "all done trying to increase usage of unit 566 final usage = 0.98092 6088 sec elapsed 111 8 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.0015 0.08211\n",
      "all done trying to increase usage of unit 4163 final usage = 0.96221 6160 sec elapsed 86 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.0015 0.08162\n",
      "begin usage increase for unit 4154 with usage 0.81152 . Sec, total UU units tried = 6162 80\n",
      "all done trying to increase usage of unit 4154 final usage = 0.96922 6242 sec elapsed 97 2 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.0015 0.08106\n",
      "all done trying to increase usage of unit 3986 final usage = 0.93357 6291 sec elapsed 67 37 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.0015 0.08051\n",
      "all done trying to increase usage of unit 5866 final usage = 0.96878 6354 sec elapsed 107 34 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00151 0.08004\n",
      "all done trying to increase usage of unit 4176 final usage = 0.98032 6454 sec elapsed 99 25 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.0015 0.07952\n",
      "all done trying to increase usage of unit 3646 final usage = 0.98006 6524 sec elapsed 103 14 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00151 0.07917\n",
      "all done trying to increase usage of unit 1182 final usage = 0.98114 6555 sec elapsed 87 6 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00151 0.07863\n",
      "all done trying to increase usage of unit 4139 final usage = 0.98108 6644 sec elapsed 102 3 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00151 0.07819\n",
      "all done trying to increase usage of unit 356 final usage = 0.98052 6717 sec elapsed 93 27 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00151 0.07761\n",
      "all done trying to increase usage of unit 3662 final usage = 0.98104 6810 sec elapsed 101 20 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.0015 0.07733\n",
      "all done trying to increase usage of unit 4022 final usage = 0.87701 6918 sec elapsed 30 92 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00151 0.07721\n",
      "begin usage increase for unit 947 with usage 0.82376 . Sec, total UU units tried = 6920 90\n",
      "all done trying to increase usage of unit 947 final usage = 0.91128 7084 sec elapsed 404 3 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00152 0.07627\n",
      "all done trying to increase usage of unit 4156 final usage = 0.894 7146 sec elapsed 41 19 successful, failed patches, couldn't start= 50\n",
      "current avg and SD of usage are 1.00152 0.07609\n",
      "all done trying to increase usage of unit 5270 final usage = 0.89695 7208 sec elapsed 49 72 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00152 0.07571\n",
      "all done trying to increase usage of unit 560 final usage = 0.98107 7315 sec elapsed 89 38 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00152 0.07513\n",
      "all done trying to increase usage of unit 3985 final usage = 0.9659 7365 sec elapsed 77 11 successful, failed patches, couldn't start= 25\n",
      "current avg and SD of usage are 1.00152 0.07464\n",
      "all done trying to increase usage of unit 673 final usage = 0.98085 7436 sec elapsed 95 36 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00153 0.07421\n",
      "all done trying to increase usage of unit 3863 final usage = 0.95779 7500 sec elapsed 73 62 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00153 0.07376\n",
      "all done trying to increase usage of unit 4273 final usage = 0.98048 7546 sec elapsed 114 13 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00153 0.07332\n",
      "all done trying to increase usage of unit 4170 final usage = 0.96413 7636 sec elapsed 78 18 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00153 0.073\n",
      "all done trying to increase usage of unit 3692 final usage = 0.98153 7700 sec elapsed 106 2 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00153 0.07268\n",
      "begin usage increase for unit 5906 with usage 0.83802 . Sec, total UU units tried = 7702 100\n",
      "all done trying to increase usage of unit 5906 final usage = 0.98016 7768 sec elapsed 98 43 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00153 0.07231\n",
      "all done trying to increase usage of unit 3642 final usage = 0.96452 7836 sec elapsed 87 34 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00153 0.07205\n",
      "all done trying to increase usage of unit 514 final usage = 0.98001 7933 sec elapsed 88 39 successful, failed patches, couldn't start= 48\n",
      "current avg and SD of usage are 1.00153 0.07163\n",
      "all done trying to increase usage of unit 3696 final usage = 0.96858 7997 sec elapsed 95 8 successful, failed patches, couldn't start= 30\n",
      "current avg and SD of usage are 1.00153 0.07137\n",
      "all done trying to increase usage of unit 574 final usage = 0.98044 8083 sec elapsed 85 5 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00153 0.07095\n",
      "all done trying to increase usage of unit 572 final usage = 0.98038 8190 sec elapsed 87 3 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00153 0.07066\n",
      "all done trying to increase usage of unit 2590 final usage = 0.96556 8242 sec elapsed 66 27 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00154 0.0694\n"
     ]
    }
   ],
   "source": [
    "#Now using faster avoidedEnclave, avoidedIsland subroutines vs. wontEnclave - are these buggy?\n",
    "#  updated to exclude VRA cores\n",
    "\n",
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used.  Using new-for-WI avoidedEnclave routines\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.98\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1. or u in coreUs:  #the VRA core can't be messed with\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        complementContig = avoidedEnclave(HDunitList[t], unitNbrs, UUUc)\n",
    "        #contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not complementContig: #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            complementContig  = avoidedEnclave(HDunitList[t], unitNbrs, [UUU])\n",
    "            loopUUUc = [UUU]\n",
    "        if complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in set(uuCandidates):\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop and u not in coreUs:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = avoidedEnclave(list(trySet), unitNbrs, [addU])\n",
    "                    #cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet.union(coreUset)) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap and u not in coreUs:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        cContig = avoidedIsland(list(trySet), unitNbrs, [shedU])\n",
    "                        #contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if cContig: # and contig :\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = ( set(unitNbrs[shedU]).intersection(trySet) ).difference(coreUset)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "id": "bde6573c-b41d-4b8f-8e67-d8eced822e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00129 1.00154 and their SDs are 0.15586 0.0694\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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atUoXXnih0tLS5PF49MorrwStv+aaa+TxeIIegwcPDhpTWlqq4cOHy+fzKTExUaNGjdL+/fuDxqxfv15nn322YmNjlZ6erunTpx97dwAAoEk65gBTUVGh3r17a9asWUcdM3jwYO3atct5PPfcc0Hrhw8frk2bNik/P1+LFi3SqlWrdOONNzrrA4GABg0apHbt2mndunW69957NWXKFP39738/1nIBAEATdMxXIQ0ZMkRDhgz52TFer1d+v/+I67Zs2aIlS5bo/fff1+mnny5Jmjlzps4//3zdd999SktL07x581RVVaXZs2crJiZGPXr0UGFhoWbMmBEUdAAAQHhqlHNgVq5cqZSUFHXp0kU333yz9u7d66wrKChQYmKiE14kKSsrSxEREVqzZo0zZsCAAYqJ+eFTNrOzs1VUVKRvv/32iO9ZWVmpQCAQ9AAAAE1Tg38OzODBg3XZZZepQ4cO2rp1q/76179qyJAhKigoUGRkpIqLi5WSkhJcRFSUkpKSVFxcLEkqLi5Whw4dgsakpqY661q2bHnY+06dOlV33XVXQ7cDIMQcNDE6r2iWswwgPDV4gBk2bJiz3LNnT/Xq1UudOnXSypUrde655zb02zkmTpyovLw85+tAIKD09PRGez8A7jCK0GeV7dwuA4DLGv0y6o4dO6pVq1b6/PPPJUl+v1+7d+8OGlNTU6PS0lLnvBm/36+SkpKgMYe+Ptq5NV6vVz6fL+gBAACapkYPMF9++aX27t2rNm3aSJIyMzNVVlamdevWOWNWrFihuro6ZWRkOGNWrVql6upqZ0x+fr66dOlyxMNHAMJHtKdaY1PnaWzqPEV7qn/5BQCapGMOMPv371dhYaEKCwslSdu2bVNhYaF27Nih/fv3a9y4cVq9erW2b9+u5cuX6+KLL1bnzp2VnZ0tSerWrZsGDx6sG264QWvXrtW7776rMWPGaNiwYUpLS5MkXXXVVYqJidGoUaO0adMmLVy4UA899FDQISIA4SlKtRqb+pzGpj7HrQSAMHbMAeaDDz5Qnz591KdPH0lSXl6e+vTpo8mTJysyMlLr16/XRRddpJNPPlmjRo1S37599fbbb8vr9TrbmDdvnrp27apzzz1X559/vvr37x/0GS8JCQl64403tG3bNvXt21e33nqrJk+ezCXUAABAUj1O4h04cKCMMUddv3Tp0l/cRlJSkubPn/+zY3r16qW33377WMsDAABhgHshAQAA6xBgAACAdQgwAADAOgQYAABgnQb/JF4AaEyVJloXfTbDWQYQnggwAKxSp0itP3Cy22UAcBmHkAAAgHWYgQFglWhPta5t9S9J0pxvLlI1h5GAsESAAWCVKNXqr23mSJKe+SZH1SLAAOGIQ0gAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANbhMmoAVqk00Rq29R5nGUB4IsAAsEqdIrW6opfbZQBwGYeQAACAdZiBAWCVKNXoyuQlkqTn9g5WDT/GgLDEv3wAVon21OhvJzwuSXqxNEs1hh9jQDjiEBIAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHW4/hCAVapMtK7ddqezDCA8EWAAWKVWkXpz3xlulwHAZRxCAgAA1mEGBoBVolSjS1qulCS98u1AbiUAhCn+5QOwSrSnRvelPyhJWlzWn1sJAGGKQ0gAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANbh+kOggbWfsNjtEpq0KhOtP/1ngrMMIDwRYABYpVaReq28v9tlAHAZh5AAAIB1mIEBYJVI1So7oUCStLQ8U7WKdLkiAG4gwACwSoynWo+2myZJ6rbhRR0wBBggHHEICQAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOlxGDcAq1SZKt+0c6ywDCE/86wdglRpF6cVvs9wuA4DLOIQEAACswwwMAKtEqlYDWnwoSVq17zRuJQCEKQIMAKvEeKo1p8NdkriVABDOOIQEAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdLqMGYJVqE6U7vhrtLAMIT/zrB2CVGkXpmb0XuF0GAJdxCAkAAFiHGRgAVolQrc5stkmStLaih+q4lQAQlo55BmbVqlW68MILlZaWJo/Ho1deeSVovTFGkydPVps2bRQXF6esrCx99tlnQWNKS0s1fPhw+Xw+JSYmatSoUdq/f3/QmPXr1+vss89WbGys0tPTNX369GPvDkCT4/VUa0Gnv2pBp7/K66l2uxwALjnmAFNRUaHevXtr1qxZR1w/ffp0Pfzww3r88ce1Zs0aNWvWTNnZ2Tp48KAzZvjw4dq0aZPy8/O1aNEirVq1SjfeeKOzPhAIaNCgQWrXrp3WrVune++9V1OmTNHf//73erQIAACammM+hDRkyBANGTLkiOuMMXrwwQc1adIkXXzxxZKkp59+WqmpqXrllVc0bNgwbdmyRUuWLNH777+v008/XZI0c+ZMnX/++brvvvuUlpamefPmqaqqSrNnz1ZMTIx69OihwsJCzZgxIyjoAACA8NSgJ/Fu27ZNxcXFysrKcp5LSEhQRkaGCgoKJEkFBQVKTEx0woskZWVlKSIiQmvWrHHGDBgwQDExMc6Y7OxsFRUV6dtvvz3ie1dWVioQCAQ9AABA09SgAaa4uFiSlJqaGvR8amqqs664uFgpKSlB66OiopSUlBQ05kjb+PF7/NTUqVOVkJDgPNLT04+/IQAAEJKazGXUEydOVHl5ufPYuXOn2yUBAIBG0qABxu/3S5JKSkqCni8pKXHW+f1+7d69O2h9TU2NSktLg8YcaRs/fo+f8nq98vl8QQ8AANA0NWiA6dChg/x+v5YvX+48FwgEtGbNGmVmZkqSMjMzVVZWpnXr1jljVqxYobq6OmVkZDhjVq1aperqHy6RzM/PV5cuXdSyZcuGLBmAZWoUqXt2Xat7dl2rGj4DBghbxxxg9u/fr8LCQhUWFkr6/sTdwsJC7dixQx6PR2PHjtX//M//6F//+pc2bNigkSNHKi0tTZdccokkqVu3bho8eLBuuOEGrV27Vu+++67GjBmjYcOGKS0tTZJ01VVXKSYmRqNGjdKmTZu0cOFCPfTQQ8rLy2uwxgHYqdpE6+97hurve4aq2kS7XQ4AlxzzZdQffPCBzjnnHOfrQ6Hi6quv1ty5c3X77beroqJCN954o8rKytS/f38tWbJEsbGxzmvmzZunMWPG6Nxzz1VERISGDh2qhx9+2FmfkJCgN954Q7m5uerbt69atWqlyZMncwk1AACQJHmMMcbtIhpDIBBQQkKCysvLOR8Gv6n2Exa7XUKTFqFanRK3VZK08UAnbiXQyLZPy3G7BISZX/v7m3shAbCK11Otf530/cxvtw0v6oAhwADhqMlcRg0AAMIHAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHW4jBqAVWoUqQdLrnSWAYQnAgwAq1SbaD1YMtztMgC4jENIAADAOszAALCKR3Xq7N0pSfq8Ml2Gv8OAsESAAWCVWE+V8rvkSjp0K4HYX3gFgKaIP10AAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKzDZdQArFKjSD2x5zJnGUB4IsAAsEq1idbUXde5XQYAl3EICQAAWIcZGABW8ahOJ0TvkSR9Vd2aWwkAYYoAA8AqsZ4qvdNtlCRuJQCEM/50AQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDpdRA7BKrSL19Dc5zjKA8ESAAWCVKhOtyV/f7HYZAFzGISQAAGAdZmAAWMYoKTIgSSqt9UnyuFsOAFcQYABYJc5TqQ97DJfErQSAcMYhJAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA63AZNQCr1CpSL5ae6ywDCE8EGABWqTLRuu3LW9wuA4DLOIQEAACswwwMAMsYxXkqJUkHjFfcSgAIT8zAALBKnKdSW3peri09L3eCDIDwQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOnwMDwCp1itDist85ywDCEwEGgFUqTYxyd0x0uwwALuPPFwAAYB0CDAAAsA4BBoBV4jwHtb3XBdre6wLFeQ66XQ4AlxBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACs0+ABZsqUKfJ4PEGPrl27OusPHjyo3NxcJScnq3nz5ho6dKhKSkqCtrFjxw7l5OQoPj5eKSkpGjdunGpqahq6VAAWqlOEVgRO14rA6dxKAAhjjXIrgR49emjZsmU/vEnUD29zyy23aPHixXrhhReUkJCgMWPG6LLLLtO7774rSaqtrVVOTo78fr/ee+897dq1SyNHjlR0dLTuueeexigXgEUqTYyu2z7F7TIAuKxRAkxUVJT8fv9hz5eXl+vJJ5/U/Pnz9fvf/16SNGfOHHXr1k2rV69Wv3799MYbb2jz5s1atmyZUlNTdeqpp+pvf/ubxo8frylTpigmJqYxSgYAABZplPnXzz77TGlpaerYsaOGDx+uHTt2SJLWrVun6upqZWVlOWO7du2qtm3bqqCgQJJUUFCgnj17KjU11RmTnZ2tQCCgTZs2HfU9KysrFQgEgh4AAKBpavAAk5GRoblz52rJkiV67LHHtG3bNp199tnat2+fiouLFRMTo8TExKDXpKamqri4WJJUXFwcFF4OrT+07mimTp2qhIQE55Gent6wjQEICXGeg9p8ylBtPmUotxIAwliDH0IaMmSIs9yrVy9lZGSoXbt2ev755xUXF9fQb+eYOHGi8vLynK8DgQAhBmii4iMq3S4BgMsa/RT+xMREnXzyyfr888/l9/tVVVWlsrKyoDElJSXOOTN+v/+wq5IOfX2k82oO8Xq98vl8QQ8AANA0NXqA2b9/v7Zu3ao2bdqob9++io6O1vLly531RUVF2rFjhzIzMyVJmZmZ2rBhg3bv3u2Myc/Pl8/nU/fu3Ru7XAAAYIEGP4R022236cILL1S7du309ddf684771RkZKSuvPJKJSQkaNSoUcrLy1NSUpJ8Pp/+/Oc/KzMzU/369ZMkDRo0SN27d9eIESM0ffp0FRcXa9KkScrNzZXX623ocgEAgIUaPMB8+eWXuvLKK7V37161bt1a/fv31+rVq9W6dWtJ0gMPPKCIiAgNHTpUlZWVys7O1qOPPuq8PjIyUosWLdLNN9+szMxMNWvWTFdffbXuvvvuhi4VAABYymOMMW4X0RgCgYASEhJUXl7O+TD4TbWfsNjtEpq0OM9Bbel5uSSp24YXdcDEulxR07Z9Wo7bJSDM/Nrf343yQXYA0Fjq5NHq/ac4ywDCEwEGgFUqjVfDvpjmdhkAXMad0AAAgHUIMAAAwDoEGABWifMc1LruV2ld96u4lQAQxjgHBoB1kqO4WSsQ7piBAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHa5CAmCVOnn08XcnOcsAwhMBBoBVKo1XF3/+gNtlAHAZh5AAAIB1CDAAAMA6BBgAVon1HNQ7Xa/TO12vUyy3EgDCFufAALCKR9KJMbudZQDhiRkYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADW4SokAFYxkj492NZZBhCeCDAArHLQxGrQp4+6XQYAl3EICQAAWIcAAwAArEOAAWCVWM9BvXHyn/TGyX/iVgJAGOMcGABW8Ug6OXaHswwgPDEDAwAArEOAAQAA1iHAAAAA6xBgAACAdTiJFyGt/YTFbpcAAAhBBBgAVjGSvqxKcZYBhCePMaZJ/gwIBAJKSEhQeXm5fD6f2+W4jpkMAOFi+7Qct0vAcfi1v7+ZgQEANCk2/sFG6Dp2nMQLAACswwwMAKt4PZV6vtMESdIVW6ep0nhdrgg4fswaHTsCDACrRMiod/xnzjKA8ESAqQcbkzIAAE0J58AAAADrEGAAAIB1CDAAAMA6BBgAAGAdTuIFYJ29NXy6NhDuCDAArHLAxKrv5vlulwHAZRxCAgAA1iHAAAAA6xBgAFjF66nUgo4TtKDjBHk9lW6XA8AlnAMDwCoRMurXfKOzDCA8MQMDAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6XIUEwDrf1XndLgGAywgwAKxywMSq+8Z/ul0GAJdxCAkAAFiHAAMAAKxDgAFgFa+nSrPbT9Hs9lPk9VS5XQ4Al3AODACrRKhOv/d94CwDCE/MwAAAAOsQYAAAgHVCOsDMmjVL7du3V2xsrDIyMrR27Vq3SwIAACEgZAPMwoULlZeXpzvvvFMffvihevfurezsbO3evdvt0gAAgMtCNsDMmDFDN9xwg6699lp1795djz/+uOLj4zV79my3SwMAAC4LyauQqqqqtG7dOk2cONF5LiIiQllZWSooKDjiayorK1VZWel8XV5eLkkKBAINXl9d5XcNvk0Av06t56AC/++fYG3ld6ozXIkEuKExfr/+eLvGmJ8dF5IB5ptvvlFtba1SU1ODnk9NTdUnn3xyxNdMnTpVd91112HPp6enN0qNANyT4CyNdLEKILwlPNi429+3b58SEhKOuj4kA0x9TJw4UXl5ec7XdXV1Ki0tVXJysjwej4uVHVkgEFB6erp27twpn8/ndjmNgh6bjnDokx6bjnDosyn3aIzRvn37lJaW9rPjQjLAtGrVSpGRkSopKQl6vqSkRH6//4iv8Xq98nqD71CbmJjYWCU2GJ/P1+S++X6KHpuOcOiTHpuOcOizqfb4czMvh4TkSbwxMTHq27evli9f7jxXV1en5cuXKzMz08XKAABAKAjJGRhJysvL09VXX63TTz9dZ555ph588EFVVFTo2muvdbs0AADgspANMH/4wx+0Z88eTZ48WcXFxTr11FO1ZMmSw07stZXX69Wdd9552GGvpoQem45w6JMem45w6DMcevwlHvNL1ykBAACEmJA8BwYAAODnEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAeYI2rdvL4/Hc9gjNzdXklRcXKwRI0bI7/erWbNmOu200/TPf/4zaBsXXXSR2rZtq9jYWLVp00YjRozQ119/HTRm/fr1OvvssxUbG6v09HRNnz79sFpeeOEFde3aVbGxserZs6dee+21oPXGGE2ePFlt2rRRXFycsrKy9Nlnn/1mfR5SWVmpU089VR6PR4WFhSHTZ0P0eKRtTJs2LWR6bKg+JWnx4sXKyMhQXFycWrZsqUsuuSRo/Y4dO5STk6P4+HilpKRo3LhxqqmpCRqzcuVKnXbaafJ6vercubPmzp172PvMmjVL7du3V2xsrDIyMrR27dpG73HlypVHfL3H49H777/vjLP9+/XTTz/VxRdfrFatWsnn86l///568803g8a4uR8bqs8PP/xQ5513nhITE5WcnKwbb7xR+/fvD5k+f6nHrVu36tJLL1Xr1q3l8/l0xRVXHPbp86WlpRo+fLh8Pp8SExM1atSow3p0+2ePqwwOs3v3brNr1y7nkZ+fbySZN9980xhjzHnnnWfOOOMMs2bNGrN161bzt7/9zURERJgPP/zQ2caMGTNMQUGB2b59u3n33XdNZmamyczMdNaXl5eb1NRUM3z4cLNx40bz3HPPmbi4OPPEE084Y959910TGRlppk+fbjZv3mwmTZpkoqOjzYYNG5wx06ZNMwkJCeaVV14xH3/8sbnoootMhw4dzIEDB36TPg/5y1/+YoYMGWIkmY8++ihk+myIHtu1a2fuvvvuoO3s378/ZHpsqD5ffPFF07JlS/PYY4+ZoqIis2nTJrNw4UJnfU1NjTnllFNMVlaW+eijj8xrr71mWrVqZSZOnOiM+eKLL0x8fLzJy8szmzdvNjNnzjSRkZFmyZIlzpgFCxaYmJgYM3v2bLNp0yZzww03mMTERFNSUtKoPVZWVga9fteuXeb66683HTp0MHV1dSGxLxtiP5500knm/PPPNx9//LH59NNPzZ/+9CcTHx9vdu3aFRL7sSH6/Oqrr0zLli3N6NGjzSeffGLWrl1rzjrrLDN06FDnPdzu8+d63L9/v+nYsaO59NJLzfr168369evNxRdfbM444wxTW1vrbGPw4MGmd+/eZvXq1ebtt982nTt3NldeeaWz3u3vV7cRYH6F//qv/zKdOnVyfsg1a9bMPP3000FjkpKSzP/93/8ddRuvvvqq8Xg8pqqqyhhjzKOPPmpatmxpKisrnTHjx483Xbp0cb6+4oorTE5OTtB2MjIyzE033WSMMaaurs74/X5z7733OuvLysqM1+s1zz333G/W52uvvWa6du1qNm3adFiACbU+69Nju3btzAMPPHDUbYZaj/Xps7q62pxwwgnmH//4x1G3+dprr5mIiAhTXFzsPPfYY48Zn8/n9H777bebHj16BL3uD3/4g8nOzna+PvPMM01ubq7zdW1trUlLSzNTp05t1B5/qqqqyrRu3drcfffdznOhti+Ptcc9e/YYSWbVqlXO+kAgYCSZ/Px8Y0zo7cf69PnEE0+YlJSUoF/269evN5LMZ599FpJ9/rjHpUuXmoiICFNeXu6sLysrMx6Px9lPmzdvNpLM+++/74x5/fXXjcfjMV999ZUxJvS+X39rHEL6BVVVVXr22Wd13XXXOXe1Puuss7Rw4UKVlpaqrq5OCxYs0MGDBzVw4MAjbqO0tFTz5s3TWWedpejoaElSQUGBBgwYoJiYGGdcdna2ioqK9O233zpjsrKygraVnZ2tgoICSdK2bdtUXFwcNCYhIUEZGRnOmMbus6SkRDfccIOeeeYZxcfHH7bdUOrzePbltGnTlJycrD59+ujee+8NmoYOpR7r2+eHH36or776ShEREerTp4/atGmjIUOGaOPGjUF99uzZM+jTsLOzsxUIBLRp06Zf1WdVVZXWrVsXNCYiIkJZWVm/2b485F//+pf27t0bdHuSUNqX9ekxOTlZXbp00dNPP62KigrV1NToiSeeUEpKivr27evUHyr7sb59VlZWKiYmRhERP/wKi4uLkyS98847IdfnT3usrKyUx+MJ+hTd2NhYRUREBNWfmJio008/3RmTlZWliIgIrVmzxhkTKt+vbiDA/IJXXnlFZWVluuaaa5znnn/+eVVXVys5OVler1c33XSTXn75ZXXu3DnotePHj1ezZs2UnJysHTt26NVXX3XWFRcXH3ZbhENfFxcX/+yYH6//8euONKYx+zTG6JprrtHo0aOD/pH9WCj1Wd99+Ze//EULFizQm2++qZtuukn33HOPbr/99pDssb59fvHFF5KkKVOmaNKkSVq0aJFatmypgQMHqrS09Lj7DAQCOnDggL755hvV1ta6ti9/7Mknn1R2drZOPPFE57lQ2pf16dHj8WjZsmX66KOP1KJFC8XGxmrGjBlasmSJWrZsedw9NvR+rG+fv//971VcXKx7771XVVVV+vbbbzVhwgRJ0q5du0Kuz5/22K9fPzVr1kzjx4/Xd999p4qKCt12222qra0Nqj8lJSVoO1FRUUpKSvrF+n9Nj43xs+e3RoD5BU8++aSGDBmitLQ057k77rhDZWVlWrZsmT744APl5eXpiiuu0IYNG4JeO27cOH300Ud64403FBkZqZEjR8qE6J0b6tPnzJkztW/fPk2cONGtso9JffdlXl6eBg4cqF69emn06NG6//77NXPmTFVWVrrRxi+qT591dXWSpP/+7//W0KFD1bdvX82ZM0cej0cvvPCCK338nOP5dylJX375pZYuXapRo0b9lmUfk/r0aIxRbm6uUlJS9Pbbb2vt2rW65JJLdOGFFzq/GENNffrs0aOHnnrqKd1///2Kj4+X3+9Xhw4dlJqaGjQrEyp+2mPr1q31wgsv6N///reaN2+uhIQElZWV6bTTTgvJ+kNVyN7MMRT85z//0bJly/TSSy85z23dulWPPPKINm7cqB49ekiSevfurbfffluzZs3S448/7oxt1aqVWrVqpZNPPlndunVTenq6Vq9erczMTPn9/sPOOD/0td/vd/57pDE/Xn/ouTZt2gSNOfXUUxu9zxUrVqigoOCwm4mdfvrpGj58uJ566qmQ6fN49+WPZWRkqKamRtu3b1eXLl1Cpsfj6fPQe3bv3t15ndfrVceOHbVjxw6nxp9effFr+/T5fIqLi1NkZKQiIyN/9v9FY/X4Y3PmzFFycrIuuuiioOdDZV8ez7/JRYsW6dtvv5XP55MkPfroo8rPz9dTTz2lCRMmhMx+PJ4+Jemqq67SVVddpZKSEjVr1kwej0czZsxQx44dnR5Coc8j9ShJgwYN0tatW/XNN98oKipKiYmJ8vv9QfXv3r076DU1NTUqLS39xfp/TY8N/bPHDUS9nzFnzhylpKQoJyfHee67776TpMNScmRkpPNX7JEcWnfor/bMzEytWrVK1dXVzpj8/Hx16dLFmerNzMzU8uXLg7aTn5+vzMxMSVKHDh3k9/uDxgQCAa1Zs8YZ05h9Pvzww/r4449VWFiowsJC59K8hQsX6n//939Dqs+G3JeFhYWKiIhwpndDpcfj6bNv377yer0qKipy1ldXV2v79u1q166d08OGDRuCfqjm5+fL5/M5weeX+oyJiVHfvn2DxtTV1Wn58uW/2b40xmjOnDkaOXKkc07aIaGyL+vb49HGREREOGNCZT8eT58/lpqaqubNm2vhwoWKjY3VeeedF1J9HqnHH2vVqpUSExO1YsUK7d692wnVmZmZKisr07p165yxK1asUF1dnTIyMpwxofD96hp3zyEOXbW1taZt27Zm/PjxQc9XVVWZzp07m7PPPtusWbPGfP755+a+++4zHo/HLF682BhjzOrVq83MmTPNRx99ZLZv326WL19uzjrrLNOpUydz8OBBY8z3Z3mnpqaaESNGmI0bN5oFCxaY+Pj4wy5/i4qKMvfdd5/ZsmWLufPOO494+VtiYqJ59dVXnUvxjuXyt+Pp86e2bdt22FVIodDn8fT43nvvmQceeMAUFhaarVu3mmeffda0bt3ajBw5MqR6PN4+jfn+KokTTjjBLF261HzyySdm1KhRJiUlxZSWlhpjfrgsddCgQaawsNAsWbLEtG7d+oiXpY4bN85s2bLFzJo164iXpXq9XjN37lyzefNmc+ONN5rExMSgq0Uaq0djjFm2bJmRZLZs2XLY9kNhXx5Pj3v27DHJycnmsssuM4WFhaaoqMjcdtttJjo62hQWFhpjQmM/Hm+fxhgzc+ZMs27dOlNUVGQeeeQRExcXZx566CFnfSj0ebQejTFm9uzZpqCgwHz++efmmWeeMUlJSSYvLy9ozODBg02fPn3MmjVrzDvvvGNOOumkoMuoQ+H71U0EmKNYunSpkWSKiooOW/fpp5+ayy67zKSkpJj4+HjTq1evoEv+1q9fb8455xyTlJRkvF6vad++vRk9erT58ssvg7bz8ccfm/79+xuv12tOOOEEM23atMPe6/nnnzcnn3yyiYmJMT169Djsh3FdXZ254447TGpqqvF6vebcc889Ys2N0edPHSnAhEKfx9PjunXrTEZGhklISDCxsbGmW7du5p577nGCaKj0eLx9GvP9L45bb73VpKSkmBYtWpisrCyzcePGoDHbt283Q4YMMXFxcaZVq1bm1ltvNdXV1UFj3nzzTXPqqaeamJgY07FjRzNnzpzD6pk5c6Zp27atiYmJMWeeeaZZvXr1b9KjMcZceeWV5qyzzjrqe7i9L4+3x/fff98MGjTIJCUlmRYtWph+/fqZ1157LWiM2/uxIfocMWKESUpKMjExMUfd1273+XM9jh8/3qSmppro6Ghz0kknmfvvv9+5jPyQvXv3miuvvNI0b97c+Hw+c+2115p9+/YFjXH7+9VNHmNC9KxSAACAo+AcGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABY5/8HpDY5r6Q9LL8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 500 out of 8941\n",
      "working on HD 1000 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 2000 out of 8941\n",
      "working on HD 2500 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3500 out of 8941\n",
      "working on HD 4000 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 5000 out of 8941\n",
      "working on HD 5500 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6500 out of 8941\n",
      "working on HD 7000 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 8000 out of 8941\n",
      "working on HD 8500 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"up-patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "FAILlist = list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        FAILlist.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAunderPatched.csv\" #\"contigUnpatchedB.csv\"  #underPatched\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "id": "1d4c25c6-0ae6-4368-a15d-72bc48b374ee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.04  is default maxSD.  Enter updated value\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "e.g. 0.04  0.04\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.02\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 2549 units out of 6292 with usage above 1.02\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 39331\n",
      "current avg and SD of unit usage are 1.00154 0.0694 . Now trying to reduce up to 2549 units' overusage\n",
      "starting to reduce usage for unit 431 with usage 1.26414 . Total units tried = 1\n",
      "try to drop unit 431 from 52 th HD.  usage down to 1.2285994226170576\n",
      "try to drop unit 431 from 104 th HD.  usage down to 1.2124825669810986\n",
      "try to drop unit 431 from 156 th HD.  usage down to 1.205364861135876\n",
      "try to drop unit 431 from 208 th HD.  usage down to 1.1893369927135564\n",
      "try to drop unit 431 from 260 th HD.  usage down to 1.176852086639984\n",
      "all done trying to reduce usage of unit 431 final usage = 1.17685 23 sec elapsed 48 0 successful, failed patches, couldn't start= 212\n",
      "current avg and SD of usage are 1.00154 0.06811\n",
      "starting to reduce usage for unit 426 with usage 1.25049 . Total units tried = 2\n",
      "try to drop unit 426 from 47 th HD.  usage down to 1.2504864634345607\n",
      "try to drop unit 426 from 94 th HD.  usage down to 1.2504864634345607\n",
      "try to drop unit 426 from 141 th HD.  usage down to 1.2489279159499664\n",
      "try to drop unit 426 from 188 th HD.  usage down to 1.2489279159499664\n",
      "try to drop unit 426 from 235 th HD.  usage down to 1.2489279159499664\n",
      "all done trying to reduce usage of unit 426 final usage = 1.24893 33 sec elapsed 1 0 successful, failed patches, couldn't start= 235\n",
      "current avg and SD of usage are 1.00154 0.06808\n",
      "starting to reduce usage for unit 4240 with usage 1.26948 . Total units tried = 3\n",
      "try to drop unit 4240 from 58 th HD.  usage down to 1.2442154073648182\n",
      "try to drop unit 4240 from 116 th HD.  usage down to 1.221378745853195\n",
      "try to drop unit 4240 from 174 th HD.  usage down to 1.1999684222516165\n",
      "try to drop unit 4240 from 232 th HD.  usage down to 1.1816014613564965\n",
      "try to drop unit 4240 from 290 th HD.  usage down to 1.1741417903617175\n",
      "all done trying to reduce usage of unit 4240 final usage = 1.17414 61 sec elapsed 54 0 successful, failed patches, couldn't start= 237\n",
      "current avg and SD of usage are 1.00153 0.06694\n",
      "starting to reduce usage for unit 3590 with usage 1.21576 . Total units tried = 4\n",
      "try to drop unit 3590 from 51 th HD.  usage down to 1.1589948953544273\n",
      "try to drop unit 3590 from 102 th HD.  usage down to 1.118302313803155\n",
      "try to drop unit 3590 from 153 th HD.  usage down to 1.0443183443835682\n",
      "all done trying to reduce usage of unit 3590 final usage = 1.01945 90 sec elapsed 110 0 successful, failed patches, couldn't start= 57\n",
      "current avg and SD of usage are 1.00153 0.06469\n",
      "starting to reduce usage for unit 432 with usage 1.19533 . Total units tried = 5\n",
      "try to drop unit 432 from 33 th HD.  usage down to 1.1912781852167995\n",
      "try to drop unit 432 from 66 th HD.  usage down to 1.1875305522766824\n",
      "try to drop unit 432 from 99 th HD.  usage down to 1.1857050431511706\n",
      "try to drop unit 432 from 132 th HD.  usage down to 1.1857050431511706\n",
      "try to drop unit 432 from 165 th HD.  usage down to 1.1857050431511706\n",
      "all done trying to reduce usage of unit 432 final usage = 1.18571 96 sec elapsed 5 0 successful, failed patches, couldn't start= 165\n",
      "current avg and SD of usage are 1.00153 0.06456\n",
      "starting to reduce usage for unit 423 with usage 1.19135 . Total units tried = 6\n",
      "try to drop unit 423 from 34 th HD.  usage down to 1.1913506462336203\n",
      "try to drop unit 423 from 68 th HD.  usage down to 1.188906040350362\n",
      "try to drop unit 423 from 102 th HD.  usage down to 1.180307333021002\n",
      "try to drop unit 423 from 136 th HD.  usage down to 1.180307333021002\n",
      "try to drop unit 423 from 170 th HD.  usage down to 1.173933306032621\n",
      "all done trying to reduce usage of unit 423 final usage = 1.17393 104 sec elapsed 9 0 successful, failed patches, couldn't start= 163\n",
      "current avg and SD of usage are 1.00153 0.06439\n",
      "starting to reduce usage for unit 3825 with usage 1.18135 . Total units tried = 7\n",
      "try to drop unit 3825 from 49 th HD.  usage down to 1.1152131862439665\n",
      "try to drop unit 3825 from 98 th HD.  usage down to 1.0633476243973448\n",
      "all done trying to reduce usage of unit 3825 final usage = 1.01887 140 sec elapsed 87 0 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00153 0.06252\n",
      "starting to reduce usage for unit 3491 with usage 1.1771 . Total units tried = 8\n",
      "try to drop unit 3491 from 39 th HD.  usage down to 1.1141211860080233\n",
      "try to drop unit 3491 from 78 th HD.  usage down to 1.042127987682136\n",
      "all done trying to reduce usage of unit 3491 final usage = 1.01983 153 sec elapsed 85 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00152 0.06123\n",
      "starting to reduce usage for unit 3245 with usage 1.16505 . Total units tried = 9\n",
      "try to drop unit 3245 from 42 th HD.  usage down to 1.0969288563329413\n",
      "try to drop unit 3245 from 84 th HD.  usage down to 1.0647192987332976\n",
      "try to drop unit 3245 from 126 th HD.  usage down to 1.0508309371760451\n",
      "try to drop unit 3245 from 168 th HD.  usage down to 1.0347712876059971\n",
      "try to drop unit 3245 from 210 th HD.  usage down to 1.0219545863501418\n",
      "all done trying to reduce usage of unit 3245 final usage = 1.02195 257 sec elapsed 71 21 successful, failed patches, couldn't start= 119\n",
      "current avg and SD of usage are 1.0015 0.05993\n",
      "starting to reduce usage for unit 3745 with usage 1.1591 . Total units tried = 10\n",
      "try to drop unit 3745 from 44 th HD.  usage down to 1.0833087276625142\n",
      "try to drop unit 3745 from 88 th HD.  usage down to 1.0204049375869102\n",
      "all done trying to reduce usage of unit 3745 final usage = 1.01816 281 sec elapsed 73 0 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00149 0.05863\n",
      "starting to reduce usage for unit 5987 with usage 1.14619 . Total units tried = 11\n",
      "try to drop unit 5987 from 36 th HD.  usage down to 1.1152614935885132\n",
      "try to drop unit 5987 from 72 th HD.  usage down to 1.0710831557544047\n",
      "try to drop unit 5987 from 108 th HD.  usage down to 1.0314787607013483\n",
      "all done trying to reduce usage of unit 5987 final usage = 1.01961 304 sec elapsed 73 0 successful, failed patches, couldn't start= 43\n",
      "current avg and SD of usage are 1.00149 0.05747\n",
      "starting to reduce usage for unit 3344 with usage 1.14086 . Total units tried = 12\n",
      "try to drop unit 3344 from 57 th HD.  usage down to 1.1261840384397657\n",
      "try to drop unit 3344 from 114 th HD.  usage down to 1.0816624642101915\n",
      "try to drop unit 3344 from 171 th HD.  usage down to 1.055417592416189\n",
      "try to drop unit 3344 from 228 th HD.  usage down to 1.0202879829632723\n",
      "all done trying to reduce usage of unit 3344 final usage = 1.01966 448 sec elapsed 70 120 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00148 0.05659\n",
      "starting to reduce usage for unit 402 with usage 1.13383 . Total units tried = 13\n",
      "try to drop unit 402 from 53 th HD.  usage down to 1.062760308787325\n",
      "all done trying to reduce usage of unit 402 final usage = 1.01827 468 sec elapsed 71 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00148 0.05596\n",
      "starting to reduce usage for unit 4369 with usage 1.13093 . Total units tried = 14\n",
      "try to drop unit 4369 from 43 th HD.  usage down to 1.095747868883357\n",
      "try to drop unit 4369 from 86 th HD.  usage down to 1.0600754374272416\n",
      "all done trying to reduce usage of unit 4369 final usage = 1.01935 501 sec elapsed 61 0 successful, failed patches, couldn't start= 54\n",
      "current avg and SD of usage are 1.00148 0.05489\n",
      "starting to reduce usage for unit 475 with usage 1.1218 . Total units tried = 15\n",
      "try to drop unit 475 from 47 th HD.  usage down to 1.049541893824185\n",
      "all done trying to reduce usage of unit 475 final usage = 1.01868 523 sec elapsed 47 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00148 0.0539\n",
      "starting to reduce usage for unit 3427 with usage 1.11998 . Total units tried = 16\n",
      "try to drop unit 3427 from 39 th HD.  usage down to 1.0653409379828613\n",
      "all done trying to reduce usage of unit 3427 final usage = 1.01976 555 sec elapsed 64 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00147 0.05307\n",
      "starting to reduce usage for unit 4407 with usage 1.11698 . Total units tried = 17\n",
      "try to drop unit 4407 from 36 th HD.  usage down to 1.0839290956661713\n",
      "try to drop unit 4407 from 72 th HD.  usage down to 1.067622824389752\n",
      "try to drop unit 4407 from 108 th HD.  usage down to 1.030710928172234\n",
      "all done trying to reduce usage of unit 4407 final usage = 1.01903 576 sec elapsed 62 6 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00147 0.05239\n",
      "starting to reduce usage for unit 3172 with usage 1.11483 . Total units tried = 18\n",
      "try to drop unit 3172 from 28 th HD.  usage down to 1.088267857954034\n",
      "try to drop unit 3172 from 56 th HD.  usage down to 1.0603106179204325\n",
      "try to drop unit 3172 from 84 th HD.  usage down to 1.0300142854140302\n",
      "all done trying to reduce usage of unit 3172 final usage = 1.01959 642 sec elapsed 58 9 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00146 0.05172\n",
      "starting to reduce usage for unit 4964 with usage 1.11047 . Total units tried = 19\n",
      "try to drop unit 4964 from 47 th HD.  usage down to 1.0642832613864674\n",
      "all done trying to reduce usage of unit 4964 final usage = 1.01867 657 sec elapsed 47 0 successful, failed patches, couldn't start= 32\n",
      "current avg and SD of usage are 1.00146 0.05099\n",
      "starting to reduce usage for unit 2986 with usage 1.11 . Total units tried = 20\n",
      "try to drop unit 2986 from 61 th HD.  usage down to 1.11000362050835\n",
      "try to drop unit 2986 from 122 th HD.  usage down to 1.0993493085439259\n",
      "try to drop unit 2986 from 183 th HD.  usage down to 1.0849232099671111\n",
      "try to drop unit 2986 from 244 th HD.  usage down to 1.0317419086045392\n",
      "all done trying to reduce usage of unit 2986 final usage = 1.01971 775 sec elapsed 54 127 successful, failed patches, couldn't start= 72\n",
      "current avg and SD of usage are 1.00145 0.05035\n",
      "starting to reduce usage for unit 4242 with usage 1.17414 . Total units tried = 21\n",
      "try to drop unit 4242 from 33 th HD.  usage down to 1.115822113034439\n",
      "try to drop unit 4242 from 66 th HD.  usage down to 1.0587126618126526\n",
      "all done trying to reduce usage of unit 4242 final usage = 1.019 807 sec elapsed 86 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00145 0.04921\n",
      "starting to reduce usage for unit 4857 with usage 1.0977 . Total units tried = 22\n",
      "try to drop unit 4857 from 40 th HD.  usage down to 1.066136737921978\n",
      "try to drop unit 4857 from 80 th HD.  usage down to 1.031844879523178\n",
      "all done trying to reduce usage of unit 4857 final usage = 1.01859 824 sec elapsed 43 0 successful, failed patches, couldn't start= 47\n",
      "current avg and SD of usage are 1.00145 0.04858\n",
      "starting to reduce usage for unit 1867 with usage 1.10169 . Total units tried = 23\n",
      "try to drop unit 1867 from 31 th HD.  usage down to 1.0915870810227735\n",
      "try to drop unit 1867 from 62 th HD.  usage down to 1.083536280680249\n",
      "try to drop unit 1867 from 93 th HD.  usage down to 1.0799081448555903\n",
      "try to drop unit 1867 from 124 th HD.  usage down to 1.068432608033868\n",
      "try to drop unit 1867 from 155 th HD.  usage down to 1.0548201068388967\n",
      "all done trying to reduce usage of unit 1867 final usage = 1.05305 838 sec elapsed 31 2 successful, failed patches, couldn't start= 123\n",
      "current avg and SD of usage are 1.00144 0.04815\n",
      "starting to reduce usage for unit 4491 with usage 1.09561 . Total units tried = 24\n",
      "try to drop unit 4491 from 27 th HD.  usage down to 1.0597296585399587\n",
      "try to drop unit 4491 from 54 th HD.  usage down to 1.0236059347861017\n",
      "all done trying to reduce usage of unit 4491 final usage = 1.01947 859 sec elapsed 48 1 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00144 0.04772\n",
      "starting to reduce usage for unit 3809 with usage 1.10692 . Total units tried = 25\n",
      "try to drop unit 3809 from 47 th HD.  usage down to 1.0311380667977001\n",
      "all done trying to reduce usage of unit 3809 final usage = 1.01898 872 sec elapsed 41 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00144 0.04725\n",
      "starting to reduce usage for unit 1923 with usage 1.08745 . Total units tried = 26\n",
      "try to drop unit 1923 from 46 th HD.  usage down to 1.0431894780162592\n",
      "all done trying to reduce usage of unit 1923 final usage = 1.01956 886 sec elapsed 34 0 successful, failed patches, couldn't start= 49\n",
      "current avg and SD of usage are 1.00143 0.04671\n",
      "starting to reduce usage for unit 3845 with usage 1.08274 . Total units tried = 27\n",
      "try to drop unit 3845 from 34 th HD.  usage down to 1.0502270953692079\n",
      "all done trying to reduce usage of unit 3845 final usage = 1.01766 905 sec elapsed 36 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00144 0.04616\n",
      "starting to reduce usage for unit 1925 with usage 1.08205 . Total units tried = 28\n",
      "try to drop unit 1925 from 49 th HD.  usage down to 1.0323699040836494\n",
      "all done trying to reduce usage of unit 1925 final usage = 1.01944 919 sec elapsed 33 0 successful, failed patches, couldn't start= 23\n",
      "current avg and SD of usage are 1.00143 0.04576\n",
      "starting to reduce usage for unit 3089 with usage 1.08051 . Total units tried = 29\n",
      "try to drop unit 3089 from 44 th HD.  usage down to 1.0793983752460303\n",
      "try to drop unit 3089 from 88 th HD.  usage down to 1.0750049493840748\n",
      "try to drop unit 3089 from 132 th HD.  usage down to 1.0714009672316893\n",
      "try to drop unit 3089 from 176 th HD.  usage down to 1.0674143400606555\n",
      "try to drop unit 3089 from 220 th HD.  usage down to 1.062895060853696\n",
      "all done trying to reduce usage of unit 3089 final usage = 1.05704 944 sec elapsed 16 0 successful, failed patches, couldn't start= 208\n",
      "current avg and SD of usage are 1.00143 0.04559\n",
      "starting to reduce usage for unit 4489 with usage 1.08056 . Total units tried = 30\n",
      "try to drop unit 4489 from 40 th HD.  usage down to 1.028758294455808\n",
      "all done trying to reduce usage of unit 4489 final usage = 1.01952 959 sec elapsed 37 1 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00143 0.04523\n",
      "starting to reduce usage for unit 3606 with usage 1.07783 . Total units tried = 31\n",
      "try to drop unit 3606 from 39 th HD.  usage down to 1.0212719272969377\n",
      "all done trying to reduce usage of unit 3606 final usage = 1.01928 973 sec elapsed 31 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00143 0.0448\n",
      "starting to reduce usage for unit 3300 with usage 1.07652 . Total units tried = 32\n",
      "try to drop unit 3300 from 40 th HD.  usage down to 1.0765151895241214\n",
      "try to drop unit 3300 from 80 th HD.  usage down to 1.0756202324040933\n",
      "try to drop unit 3300 from 120 th HD.  usage down to 1.0732442737999282\n",
      "try to drop unit 3300 from 160 th HD.  usage down to 1.0732442737999282\n",
      "try to drop unit 3300 from 200 th HD.  usage down to 1.0716628438889697\n",
      "all done trying to reduce usage of unit 3300 final usage = 1.07166 985 sec elapsed 4 0 successful, failed patches, couldn't start= 200\n",
      "current avg and SD of usage are 1.00143 0.04476\n",
      "starting to reduce usage for unit 415 with usage 1.07975 . Total units tried = 33\n",
      "all done trying to reduce usage of unit 415 final usage = 1.01907 998 sec elapsed 32 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00143 0.04439\n",
      "starting to reduce usage for unit 3247 with usage 1.07525 . Total units tried = 34\n",
      "try to drop unit 3247 from 42 th HD.  usage down to 1.0674944285529306\n",
      "try to drop unit 3247 from 84 th HD.  usage down to 1.0435670380512732\n",
      "try to drop unit 3247 from 126 th HD.  usage down to 1.0333945282864094\n",
      "all done trying to reduce usage of unit 3247 final usage = 1.01982 1064 sec elapsed 30 49 successful, failed patches, couldn't start= 57\n",
      "current avg and SD of usage are 1.00142 0.04405\n",
      "starting to reduce usage for unit 6245 with usage 1.07253 . Total units tried = 35\n",
      "try to drop unit 6245 from 20 th HD.  usage down to 1.0608610673990873\n",
      "try to drop unit 6245 from 40 th HD.  usage down to 1.046284961804995\n",
      "all done trying to reduce usage of unit 6245 final usage = 1.01821 1080 sec elapsed 33 0 successful, failed patches, couldn't start= 25\n",
      "current avg and SD of usage are 1.00142 0.04361\n",
      "starting to reduce usage for unit 1129 with usage 1.0717 . Total units tried = 36\n",
      "try to drop unit 1129 from 32 th HD.  usage down to 1.0416360155153015\n",
      "try to drop unit 1129 from 64 th HD.  usage down to 1.0249788803679623\n",
      "all done trying to reduce usage of unit 1129 final usage = 1.01857 1102 sec elapsed 38 13 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00142 0.04322\n",
      "starting to reduce usage for unit 3753 with usage 1.07078 . Total units tried = 37\n",
      "try to drop unit 3753 from 42 th HD.  usage down to 1.0619149302577546\n",
      "all done trying to reduce usage of unit 3753 final usage = 1.01699 1114 sec elapsed 31 0 successful, failed patches, couldn't start= 52\n",
      "current avg and SD of usage are 1.00141 0.04289\n",
      "starting to reduce usage for unit 3161 with usage 1.06903 . Total units tried = 38\n",
      "try to drop unit 3161 from 45 th HD.  usage down to 1.050279216451482\n",
      "try to drop unit 3161 from 90 th HD.  usage down to 1.0388685131711253\n",
      "try to drop unit 3161 from 135 th HD.  usage down to 1.0300702202340322\n",
      "try to drop unit 3161 from 180 th HD.  usage down to 1.0260924917843623\n",
      "all done trying to reduce usage of unit 3161 final usage = 1.0191 1172 sec elapsed 30 88 successful, failed patches, couldn't start= 81\n",
      "current avg and SD of usage are 1.00141 0.04263\n",
      "starting to reduce usage for unit 1429 with usage 1.06676 . Total units tried = 39\n",
      "try to drop unit 1429 from 39 th HD.  usage down to 1.0325987283472926\n",
      "all done trying to reduce usage of unit 1429 final usage = 1.01873 1185 sec elapsed 29 6 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00141 0.04236\n",
      "starting to reduce usage for unit 4965 with usage 1.0667 . Total units tried = 40\n",
      "try to drop unit 4965 from 44 th HD.  usage down to 1.0460815624595339\n",
      "all done trying to reduce usage of unit 4965 final usage = 1.01891 1199 sec elapsed 24 0 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.00141 0.04208\n",
      "starting to reduce usage for unit 858 with usage 1.06632 . Total units tried = 41\n",
      "try to drop unit 858 from 61 th HD.  usage down to 1.0288828765549016\n",
      "all done trying to reduce usage of unit 858 final usage = 1.01883 1219 sec elapsed 29 4 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.0014 0.04176\n",
      "starting to reduce usage for unit 3990 with usage 1.06422 . Total units tried = 42\n",
      "all done trying to reduce usage of unit 3990 final usage = 1.01836 1232 sec elapsed 25 1 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.0014 0.04144\n",
      "starting to reduce usage for unit 6020 with usage 1.06347 . Total units tried = 43\n",
      "all done trying to reduce usage of unit 6020 final usage = 1.0194 1247 sec elapsed 19 4 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.0014 0.04126\n",
      "starting to reduce usage for unit 3080 with usage 1.06454 . Total units tried = 44\n",
      "try to drop unit 3080 from 32 th HD.  usage down to 1.0599521265740581\n",
      "try to drop unit 3080 from 64 th HD.  usage down to 1.0599521265740581\n",
      "try to drop unit 3080 from 96 th HD.  usage down to 1.0583732391549179\n",
      "try to drop unit 3080 from 128 th HD.  usage down to 1.0533607165352157\n",
      "try to drop unit 3080 from 160 th HD.  usage down to 1.0391291185824976\n",
      "all done trying to reduce usage of unit 3080 final usage = 1.03913 1356 sec elapsed 16 104 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.0014 0.04109\n",
      "starting to reduce usage for unit 1832 with usage 1.0636 . Total units tried = 45\n",
      "try to drop unit 1832 from 36 th HD.  usage down to 1.0307172844017791\n",
      "all done trying to reduce usage of unit 1832 final usage = 1.01926 1366 sec elapsed 24 0 successful, failed patches, couldn't start= 22\n",
      "current avg and SD of usage are 1.0014 0.04083\n",
      "starting to reduce usage for unit 1552 with usage 1.062 . Total units tried = 46\n",
      "all done trying to reduce usage of unit 1552 final usage = 1.01877 1392 sec elapsed 27 12 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.0014 0.04048\n",
      "starting to reduce usage for unit 3436 with usage 1.06021 . Total units tried = 47\n",
      "try to drop unit 3436 from 50 th HD.  usage down to 1.051921666166079\n",
      "try to drop unit 3436 from 100 th HD.  usage down to 1.0482121706032357\n",
      "try to drop unit 3436 from 150 th HD.  usage down to 1.0404156194425376\n",
      "try to drop unit 3436 from 200 th HD.  usage down to 1.0266492974925618\n",
      "all done trying to reduce usage of unit 3436 final usage = 1.01992 1407 sec elapsed 24 2 successful, failed patches, couldn't start= 207\n",
      "current avg and SD of usage are 1.0014 0.04017\n",
      "starting to reduce usage for unit 1958 with usage 1.06003 . Total units tried = 48\n",
      "all done trying to reduce usage of unit 1958 final usage = 1.01947 1416 sec elapsed 17 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.0014 0.03995\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  #using 5/24/24 new avoidedIsland method after initial OUUc cluster\n",
    "#updated to exclude VRA cores\n",
    "maxSD = 0.04 #0.06  #0.08  #0.04\n",
    "print(maxSD,\" is default maxSD.  Enter updated value\")\n",
    "maxSD = float(input(\"e.g. 0.04 \"))\n",
    "stopMaxUse = 1.02  #1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs + coreUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1. or u in coreUs:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OUUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists) #work from farthest HD in\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        #contig = avoidedIsland(HDunitList[t], unitNbrs, list( set(OUUc).intersection(set(HDunitList[t])) ) )\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        #if not contig:\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                #trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "                #contig = avoidedIsland(HDunitList[t], unitNbrs, [OUU])\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #if contig  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop and u not in coreUs:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    #contig = avoidedIsland(list(trySet), unitNbrs, [shedU])  #avoidedI is buggy\n",
    "                    if contig and cContig:  #if contig\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = ( set(unitNbrs[shedU]).intersection(trySet) ).difference(coreUset)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t]+coreUs and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...  \n",
    "                    #canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    canAdd = avoidedEnclave(list(trySet), unitNbrs, [unitNoToAdd])\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "id": "f481e23f-6d2c-4592-923a-0af5b8e8caaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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av3+//vCHP5z3XggwAAC4MU9PTxmGYbfut2NIJJ0XIDw8PFRRUVHrfbzyyit64403NH/+fHXu3FkBAQEaM2aMSktLa3yexWK56GvXVFtBQYG8vLyUmppqF3IkqWnTprWu31kIMAAAXKIrrrhCx44dsz3Oz89Xenp6nV/nyy+/VKtWrSRJOTk5OnjwoDp27ChJ+vzzz3Xvvffqz3/+sySpoqJCBw8eVKdOnWzP9/X1VXl5ud1rdunSRStWrFBZWVmNvTDVueGGG1ReXq7s7GzdeuutF2zTsWNH7dix47z3Uh8IMAAA93bioNvu54477tDy5cs1cOBAWa1WTZ069bzeitqYMWOGWrRoodDQUE2aNEktW7bUfffdJ0lq27at/vnPf+qLL75Q8+bN9dprrykrK8suwFx99dXasWOHfvrpJzVt2lTBwcFKSkrSwoULNXToUE2cOFFBQUH68ssv1aNHD7Vv3/6iNbVr107x8fEaPny4Xn31Vd1www06fvy4kpOT1aVLFw0YMEBPPfWUevfurXnz5unee+/Vxx9/XC+njyQCDADAXfm3qLwz7gej62+fPv6V+62liRMnKj09Xffcc4+CgoI0c+bMS+qBeemll/T000/rhx9+UHR0tP71r3/J19dXkjR58mQdPnxYcXFx8vf3V0JCgu677z7l5eXZnv/cc89pxIgR6tSpk4qLi5Wenq6rr75amzdv1rhx49SnTx95eXkpOjpavXv3rnVdy5Yt06xZs/Tss8/q6NGjatmypXr16qV77rlHktSrVy8tXbpU06ZN09SpUxUbG6vJkydr5syZdT4GdeVhnHvyroHIz89XUFCQ8vLyFBgY6OpyANf4NU16q4+UsK36G4HVpg3gZGfOnFF6erpat26tJk2a/N+GBj4X0tatW9W3b1/l5OTIarXW235drdqft2r//U0PDADAfVmjTHdbf9QPbmQHAABMhx4YAABc5Pbbbz/vMmzUDj0wAADAdAgwAAC3QW9E4+CInzMBBgDgclX3TrnY3WXRMBQVFUk6/07AdcEYGACAy3l7e8vf31/Hjx+Xj4+PPD35+7ohMgxDRUVFys7OltVqvaSb/lUhwAAAXM7Dw0Ph4eFKT0/Xzz//7Opy4GRWq9Vu5uxLQYABALgFX19ftW3bltNIDZyPj89l9bxUIcAAANyGp6fneXdmBS6Ek4wAAMB0CDAAAMB0CDAAAMB0GAMDNDJHc4uVU1iq5gG+irRaXF0OAFwSAgzQiBzNLVbsq9tUXFYui4+XPn22jyJdXRQAXII6n0Lavn27Bg4cqIiICHl4eGjdunV22w3D0NSpUxUeHi6LxaLY2Fj98MMPdm1OnTql+Ph4BQYGymq1atSoUSooKLBr8+233+rWW29VkyZNFBUVpblz59b93QGwk1NYquKycj15RxsVl5Urp5DLVQGYU50DTGFhobp27apFixZdcPvcuXO1YMECLVmyRDt27FBAQIDi4uJ05swZW5v4+Hjt3btXmzZt0vr167V9+3YlJCTYtufn5+vuu+/WVVddpdTUVL3yyit64YUX9NZbb13CWwRwLk4dATC7Op9C+t3vfqff/e53F9xmGIbmz5+vyZMn695775Uk/f3vf1doaKjWrVunoUOHav/+/dq4caN27dql7t27S5IWLlyo/v37a968eYqIiNDKlStVWlqqd955R76+vrruuuuUlpam1157zS7oAACAxsmhVyGlp6crMzNTsbGxtnVBQUHq2bOnUlJSJEkpKSmyWq228CJJsbGx8vT01I4dO2xtbrvtNvn6+traxMXF6cCBA8rJybngvktKSpSfn2+3AACAhsmhASYzM1OSFBoaarc+NDTUti0zM1MhISF22729vRUcHGzX5kKv8dt9nGvOnDkKCgqyLVFRUZf/hgAAgFtqMPeBmThxovLy8mxLRkaGq0sCAABO4tAAUzWzZFZWlt36rKws27awsDBlZ2fbbT979qxOnTpl1+ZCr/HbfZzLz89PgYGBdgsAAGiYHBpgWrdurbCwMCUnJ9vW5efna8eOHYqJiZEkxcTEKDc3V6mpqbY2mzdvVkVFhXr27Glrs337dpWVldnabNq0Se3bt1fz5s0dWTIAADChOgeYgoICpaWlKS0tTVLlwN20tDQdOXJEHh4eGjNmjGbNmqUPP/xQe/bs0fDhwxUREaH77rtPktSxY0f169dPo0eP1s6dO/X5558rKSlJQ4cOVUREhCTpwQcflK+vr0aNGqW9e/dqzZo1euONNzR27FiHvXEAAGBedb6M+quvvlLfvn1tj6tCxYgRI7R8+XI9//zzKiwsVEJCgnJzc3XLLbdo48aNdtOjr1y5UklJSbrzzjvl6empQYMGacGCBbbtQUFB+uSTT5SYmKhu3bqpZcuWmjp1KpdQAwAASZcQYG6//XYZhlHtdg8PD82YMUMzZsyotk1wcLBWrVpV4366dOmi//znP3UtDwAANAIN5iokAADQeBBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6RBgAACA6Tg8wJSXl2vKlClq3bq1LBaLrr32Ws2cOVOGYdjaGIahqVOnKjw8XBaLRbGxsfrhhx/sXufUqVOKj49XYGCgrFarRo0apYKCAkeXCwAATMjhAebll1/W4sWL9de//lX79+/Xyy+/rLlz52rhwoW2NnPnztWCBQu0ZMkS7dixQwEBAYqLi9OZM2dsbeLj47V3715t2rRJ69ev1/bt25WQkODocgEAgAl5O/oFv/jiC917770aMGCAJOnqq6/Wu+++q507d0qq7H2ZP3++Jk+erHvvvVeS9Pe//12hoaFat26dhg4dqv3792vjxo3atWuXunfvLklauHCh+vfvr3nz5ikiIsLRZQMAABNxeA/MzTffrOTkZB08eFCS9M033+izzz7T7373O0lSenq6MjMzFRsba3tOUFCQevbsqZSUFElSSkqKrFarLbxIUmxsrDw9PbVjx44L7rekpET5+fl2CwAAaJgc3gMzYcIE5efnq0OHDvLy8lJ5eblefPFFxcfHS5IyMzMlSaGhoXbPCw0NtW3LzMxUSEiIfaHe3goODra1OdecOXM0ffp0R78dAADghhzeA/Pee+9p5cqVWrVqlb7++mutWLFC8+bN04oVKxy9KzsTJ05UXl6ebcnIyHDq/gAAgOs4vAdm3LhxmjBhgoYOHSpJ6ty5s37++WfNmTNHI0aMUFhYmCQpKytL4eHhtudlZWUpOjpakhQWFqbs7Gy71z179qxOnTple/65/Pz85Ofn5+i3AwAA3JDDe2CKiork6Wn/sl5eXqqoqJAktW7dWmFhYUpOTrZtz8/P144dOxQTEyNJiomJUW5urlJTU21tNm/erIqKCvXs2dPRJQMAAJNxeA/MwIED9eKLL6pVq1a67rrrtHv3br322mt6+OGHJUkeHh4aM2aMZs2apbZt26p169aaMmWKIiIidN9990mSOnbsqH79+mn06NFasmSJysrKlJSUpKFDh3IFEgAAcHyAWbhwoaZMmaInnnhC2dnZioiI0KOPPqqpU6fa2jz//PMqLCxUQkKCcnNzdcstt2jjxo1q0qSJrc3KlSuVlJSkO++8U56enho0aJAWLFjg6HIBAIAJOTzANGvWTPPnz9f8+fOrbePh4aEZM2ZoxowZ1bYJDg7WqlWrHF0eAABoAJgLCQAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmA4BBgAAmI5TAszRo0f15z//WS1atJDFYlHnzp311Vdf2bYbhqGpU6cqPDxcFotFsbGx+uGHH+xe49SpU4qPj1dgYKCsVqtGjRqlgoICZ5QLAABMxuEBJicnR71795aPj4/+/e9/a9++fXr11VfVvHlzW5u5c+dqwYIFWrJkiXbs2KGAgADFxcXpzJkztjbx8fHau3evNm3apPXr12v79u1KSEhwdLkAAMCEvB39gi+//LKioqK0bNky27rWrVvb/m0YhubPn6/Jkyfr3nvvlST9/e9/V2hoqNatW6ehQ4dq//792rhxo3bt2qXu3btLkhYuXKj+/ftr3rx5ioiIcHTZAADARBzeA/Phhx+qe/fu+tOf/qSQkBDdcMMNWrp0qW17enq6MjMzFRsba1sXFBSknj17KiUlRZKUkpIiq9VqCy+SFBsbK09PT+3YseOC+y0pKVF+fr7dAgAAGiaHB5jDhw9r8eLFatu2rT7++GM9/vjjeuqpp7RixQpJUmZmpiQpNDTU7nmhoaG2bZmZmQoJCbHb7u3treDgYFubc82ZM0dBQUG2JSoqytFvDQAAuAmHB5iKigrdeOONmj17tm644QYlJCRo9OjRWrJkiaN3ZWfixInKy8uzLRkZGU7dHwAAcB2HB5jw8HB16tTJbl3Hjh115MgRSVJYWJgkKSsry65NVlaWbVtYWJiys7Pttp89e1anTp2ytTmXn5+fAgMD7RYAANAwOTzA9O7dWwcOHLBbd/DgQV111VWSKgf0hoWFKTk52bY9Pz9fO3bsUExMjCQpJiZGubm5Sk1NtbXZvHmzKioq1LNnT0eXDAAATMbhVyE988wzuvnmmzV79mwNHjxYO3fu1FtvvaW33npLkuTh4aExY8Zo1qxZatu2rVq3bq0pU6YoIiJC9913n6TKHpt+/frZTj2VlZUpKSlJQ4cO5QokAADg+ABz0003ae3atZo4caJmzJih1q1ba/78+YqPj7e1ef7551VYWKiEhATl5ubqlltu0caNG9WkSRNbm5UrVyopKUl33nmnPD09NWjQIC1YsMDR5QIAABNyeICRpHvuuUf33HNPtds9PDw0Y8YMzZgxo9o2wcHBWrVqlTPKAwAAJsdcSAAAwHQIMAAAwHQIMAAAwHQIMAAAwHScMogXgDkczS1Wk7MFauPqQgCgjggwQCP26D9SdZ1Huj7yk7ILShRy8acAgFvgFBLQyA29qXLi0/ziMhdXAgC1R4ABGrmQZn6uLgEA6owAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIfJHAHU2tHcYuUUlqp5gK8irRZXlwOgESPAAKiVo7nFin11m4rLymXx8dKnz/YhxABwGQIM4Aq5GVLRyZrb+LeQrFH1U08t5BSWqrisXE/e0UYLNx9STmEpAQaAyxBggPqWmyEt6iGVFdXczsdfStzpFiHmaG6xDmUXSBKhBYBbIMAA9a3oZGV4uX+p1LLdhducOCh9MLqyrYsDzLmnjpoH+Lq0HgCQCDCA67RsJ0VEu7qKi6o6dTR/SLRuah2snMJSV5cEAAQYwK2dOFjz9nocJ9MmpKkirRYCDAC3QIAB3JF/i8oxMB+MrrmdG42TAYD6RIAB3JE1qjKY1HSlkhuNkwGA+kaAAdyVNYpgAgDVYCoBAABgOgQYAABgOgQYAABgOoyBARztYtMEXOzSaADARRFgAEeqyzQB/i3qpyYAaIAIMIAj1WaaAMntJmoEALMhwADOYJJpAgDArBjECwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATIcAAwAATMfpAeall16Sh4eHxowZY1t35swZJSYmqkWLFmratKkGDRqkrKwsu+cdOXJEAwYMkL+/v0JCQjRu3DidPXvW2eUCAAATcGqA2bVrl/7rv/5LXbp0sVv/zDPP6F//+pfef/99bdu2Tb/++qvuv/9+2/by8nINGDBApaWl+uKLL7RixQotX75cU6dOdWa5AADAJLyd9cIFBQWKj4/X0qVLNWvWLNv6vLw8vf3221q1apXuuOMOSdKyZcvUsWNHffnll+rVq5c++eQT7du3T59++qlCQ0MVHR2tmTNnavz48XrhhRfk6+t73v5KSkpUUlJie5yfn++stwa4lxMHL20bAJiY0wJMYmKiBgwYoNjYWLsAk5qaqrKyMsXGxtrWdejQQa1atVJKSop69eqllJQUde7cWaGhobY2cXFxevzxx7V3717dcMMN5+1vzpw5mj59urPeDuB+/FtIPv7SB6NrbufjX9kWABoQpwSY1atX6+uvv9auXbvO25aZmSlfX19ZrVa79aGhocrMzLS1+W14qdpete1CJk6cqLFjx9oe5+fnKyoq6nLeBuDerFFS4k6p6GTN7fxbVLYFgAbE4QEmIyNDTz/9tDZt2qQmTZo4+uWr5efnJz8/v3rbH+AWrFGEEwCNksMH8aampio7O1s33nijvL295e3trW3btmnBggXy9vZWaGioSktLlZuba/e8rKwshYWFSZLCwsLOuyqp6nFVGwAA0Hg5PMDceeed2rNnj9LS0mxL9+7dFR8fb/u3j4+PkpOTbc85cOCAjhw5opiYGElSTEyM9uzZo+zsbFubTZs2KTAwUJ06dXJ0yQAAwGQcfgqpWbNmuv766+3WBQQEqEWLFrb1o0aN0tixYxUcHKzAwEA9+eSTiomJUa9evSRJd999tzp16qRhw4Zp7ty5yszM1OTJk5WYmMhpIgAA4LyrkGry+uuvy9PTU4MGDVJJSYni4uL05ptv2rZ7eXlp/fr1evzxxxUTE6OAgACNGDFCM2bMcEW5AADAzdRLgNm6davd4yZNmmjRokVatGhRtc+56qqrtGHDBidXBgAAzIi5kAAAgOkQYAAAgOkQYAAAgOkQYAAAgOkQYABU62husQ5lF7i6DAA4j0suowbg/o7mFiv21W0qLiuXxcdLzQPOnwUeAFyFAAPggnIKS1VcVq75Q6J1U+tgRVotri4JAGwIMABsjuYWK6ew1K63pU1IU8ILALdDgAEgSco+XaJRvzllNH9otKtLAoBqMYgXgCTpdHGZisvK9eQdbVRcVq6cwlJXlwQA1SLAALDD6SIAZkCAAQAApkOAAQAApkOAAQAApkOAAQAApkOAAQAApsN9YIC6yM2Qik5Wv/3EwfqrBQAaMQIMUFu5GdKiHlJZUc3tfPwl/xb1UxMANFIEGKC2ik5Whpf7l0ot21Xfzr+FZI2qv7oAoBEiwAB11bKdFBHt6iqc7mhusatLAIBqMYgXgJ3mAb6y+Hhp4eZDsvh42U3sCADugh4YAHYirRZ9+mwf26zUTC0AwB0RYACcJ9JqIbgAcGucQgIgSco+XeLqEgCg1ggwQCPXzOIjSVq9K4MxLwBMg1NIQCMX0sxPkvTG0GhZrurGqSMApkCAASBJanNFU4nwAsAkOIUEAABMhwADAABMh1NIACpdbCJKpkgA4EYIMEAjV94kuHICyg9G19zQx19K3CkpsF7qAoCaEGCARq6saWRlMCk6WX2jEwcrA07RSRFgALgDAgyAylNDnB4CYCIM4gUAAKZDgAEAAKbDKSQAjpObUfNYGomrmQA4BAEGgGPkZkiLekhlRTW3q7qaiRAD4DIQYADU3omDamIU6DqPdDU5ESR5NLXbprIi6f6lUst21T7fdjVTTQGGnhwAF0GAAXBx/i1s94ppI+kjP0lrL9DOx19qFXN5wYKeHAC1QIABcHHWKNu9Yg4dL9DTq9P0xtDoygkgf8sRvSJFJx3XkwOgwSLAAKid/71XzBkjT3uNPJ1p2VmKCHLe/lq2kyKinff6AEyNy6gBAIDpEGAAAIDpEGAAAIDpEGAAAIDpEGAAAIDpEGAAAIDpcBk1gPp34uClbQOA/0WAAVB/fnNH3xr5+Fe2BYBqODzAzJkzRx988IG+//57WSwW3XzzzXr55ZfVvn17W5szZ87o2Wef1erVq1VSUqK4uDi9+eabCg0NtbU5cuSIHn/8cW3ZskVNmzbViBEjNGfOHHl7k7kA0/rNHX1rVNs7+l6st4b5koAGy+FpYNu2bUpMTNRNN92ks2fP6i9/+Yvuvvtu7du3TwEBAZKkZ555Rh999JHef/99BQUFKSkpSffff78+//xzSVJ5ebkGDBigsLAwffHFFzp27JiGDx8uHx8fzZ4929ElA6hP/3tH38tSl54c5ksCGiSHB5iNGzfaPV6+fLlCQkKUmpqq2267TXl5eXr77be1atUq3XHHHZKkZcuWqWPHjvryyy/Vq1cvffLJJ9q3b58+/fRThYaGKjo6WjNnztT48eP1wgsvyNfX19FlA6ijQ9kFah7gq0irpf53XpueHOZLAho0p5+PycvLkyQFBwdLklJTU1VWVqbY2Fhbmw4dOqhVq1ZKSUlRr169lJKSos6dO9udUoqLi9Pjjz+uvXv36oYbbjhvPyUlJSopKbE9zs/Pd9ZbAhq15gG+svh4acyaNFl8vPTps31cF2IIJkCj5dTLqCsqKjRmzBj17t1b119/vSQpMzNTvr6+slqtdm1DQ0OVmZlpa/Pb8FK1vWrbhcyZM0dBQUG2JSqKDzbAGSKtFn36bB/NHxKt4rJy5RSWurokAI2QUwNMYmKivvvuO61evdqZu5EkTZw4UXl5ebYlIyPD6fsEGqtIq0VtQpq6ugwAjZjTTiElJSVp/fr12r59u6688krb+rCwMJWWlio3N9euFyYrK0thYWG2Njt37rR7vaysLNu2C/Hz85Ofn5+D3wUAAHBHDu+BMQxDSUlJWrt2rTZv3qzWrVvbbe/WrZt8fHyUnJxsW3fgwAEdOXJEMTExkqSYmBjt2bNH2dnZtjabNm1SYGCgOnXq5OiSgUanahyLxcdLzQMYFA/AfBzeA5OYmKhVq1bpf/7nf9SsWTPbmJWgoCBZLBYFBQVp1KhRGjt2rIKDgxUYGKgnn3xSMTEx6tWrlyTp7rvvVqdOnTRs2DDNnTtXmZmZmjx5shITE+llARygahxL1b8BwGwcHmAWL14sSbr99tvt1i9btkwjR46UJL3++uvy9PTUoEGD7G5kV8XLy0vr16/X448/rpiYGAUEBGjEiBGaMWOGo8sFGqyjucXKKSyt9lJnggsAM3N4gDEM46JtmjRpokWLFmnRokXVtrnqqqu0YcMGR5YGNBpHc4sV++o2FZeVu/ZSZwBwEmajBhqgnMJSFZeV68k72nCpM4AGiQADNGD0ugBoqAgwAADAdJjaGWgEDmUX2P0XAMyOAAM0MEdzi21B5bfzFlVpdPd+OXGw5u3+LZhTCTAhAgzQgJx79dH1kUH69Nk+doN4XTaDdH3zbyH5+FfOSF0TH//Kma0JMYCpEGCAKrkZUtHJ6rdf7C95N1B19dH8IdG6qXWwLag0isByLmtUZTC52M/0g9GVbQgwgKkQYACpMrws6iGVFdXczse/8i97N9cmpGnjDC3nskYRTIAGigADSJV/gZcVSfcvlVq2q76dG4+X+O3YFwBo6AgwwG+1bCdFRLu6ijo7d+xLoxqkC6BRIsAADUB1Y18AoKHiRnZAA8LYFwCNBQEGAACYDqeQAJM4mlusnMLSxnMfFwCoAQEGMIFzB+l++mwfW4jh6iMAjRGnkAATqBqk++QdbVRcVm67s25VsBmzJo2rjwA0KvTAACZy7qkjrj4C0FjRAwM0AFx9BKCxIcAAbo4xLgBwPk4hAW6sujvsHsouYLwLgEaNAAP3drEZoiW3np/ocp07xkWSLD5etkG784dGu7ZAAHARAgzcV11miE7c2WBDjGQ/xuXTZ/toV/opjVmTpu+O5rm4MgBwDQIM3FdtZog+cVD6YLR0JKXmnpoG1EsTabVIrYNl8fHSws2HuHwaQKNEgIH7q2mGaP8WlT0wH4yu+TV8/KUh/5D8W154+4mDl1WiM9Q0eDfSatGnz/bhzryOcrGffwMKwEBDQYCBuVmjKk8f1dT7UnRCWjNM+n+Dan4tH//KLyo3UN3g3d+KtFoILpfLUQG46rUuFnIa+ZguwJEIMDA/a9TFP/AvFnIkt/ri4AZ19cTRAbimsViM6QIcigCDxqE2IccNcYO6euCIAFw1FqvoZPWvVZcxXTW9DgBJBBgAuDhHBuCaxnQBqDXuxAsAAEyHHhgAcJSarmZywyvdADMjwMB1LnZFBh/4MIu6XM3kJle6AWZHgIFr1OWKDD7w4e5qczWT5FZXugFmR4CBa9TmigyJD3yYh0mvdAPMigAD1+KKDADAJSDAAG7iaG6xcgpLJanaKQQAAJUIMICLVAWWqmkCqqYOqMIkjQBQPQIM4ALnznU0f2i0beqANiFNJYlJGgGgBtzIDnCBqrmOnryjjYrLym2njtqENNX1kUG6PjKI8AIANaAHBs7BPV5qhZACAJeGAAPH4x4vjcqh7AJOdwGodwQYOB73eKmzo7nFri6hzpoH+Mri46Uxa9Jk8fHSp8/2IcQAqDcEGDgP93i5qKoQsHDzIdNddRRptejTZ/toV/opjVmTppzCUgIMgHpDgIG9i41dkeg5caCqEFB1ObXZAkCk1aKc/71qCg50sTFi/A4CBBj8Rl3GriTu5AO0jqq7UV2k1WK64AInqcukkPwOopEjwOD/1GbsyomDlR+uRSf58KyD3973pYrZThmhHtRmUkh+BwFJBBhcSG3GrtTUxc0l0uepuu8LN6rDRTEpJFArBBjUTV26uLlE+jxVN6oDGh3G18HBCDCom9p0cUuN8oPot3MbRVotTM4I53JET2d9/Z4yvg5OQIBpLGrz109tPxDp4j7PuXMbzbm/syZ+sIcxL3C82vaC1kZ9BQbG15mPCXrMCDCNQW3/+pE49VMHv+1xqRrjMvWeTnrl4wO2m7uteLiHWvxvaGHMCxyitr2gF+PIwFDbqUMud3yd5PIvTZeqr1Bhkh4ztw4wixYt0iuvvKLMzEx17dpVCxcuVI8ePVxdlvnU9s64UuP+cKiDC80mLUk9Wgeb+r4uMAlH9oJebmBw1NQhZr2E3B1DxZB/SP4tL70ek/SYuW2AWbNmjcaOHaslS5aoZ8+emj9/vuLi4nTgwAGFhIS4urz6U5tfjoupy18/qNa5Y1qqZpNeuPmQvjuaZ2vHfV1gCnUJDDV9IZ446JipQ+pyCfmRlMv/XKxNqLjY52/RCWnNMMeEioupzXGuquf/Dbq8ekzyneG2Aea1117T6NGj9dBDD0mSlixZoo8++kjvvPOOJkyY4OLqHMRRvxy1wamhS3Y0t1iHsgv02D9SzxvTclu7K/S3/6SbcioANHK1CQx1+UJsFXP5f4lfrGepPsf/1KXH48//XX0YqO0xrI3aHGdH/kzd/DvDLQNMaWmpUlNTNXHiRNs6T09PxcbGKiUl5YLPKSkpUUlJie1xXl7lX8T5+fmOL/B0llSQdXmvUXRS+iBBOnuRSfy8LdL9f7/8/5EswZJnkOSM4+Fix/PP6HhBycUbXoJTRWUas3q3zpRVqImPp94ceoOC/X0kSVZ/X0VYvbV29A3KLSqV1d9XzTzLlJ9f5pRa3FXB6XxVlBTp28PHZDFKdEVgE1eXhNryDJKa1nBZf9NrpGHJUvGpml+nvj5fPINqV8/FnDwk/espaV+y1KJN9W0KCqWBC6pvI1W+d+uV1W+v7TGsjdoc5/r6mZ4ukEqMyv86+Ode9b1tGEbNDQ03dPToUUOS8cUXX9itHzdunNGjR48LPmfatGmGJBYWFhYWFpYGsGRkZNSYFdyyB+ZSTJw4UWPHjrU9rqio0KlTp9SiRQt5eHi4sLL6k5+fr6ioKGVkZCgwMNDV5bgFjok9jsf5OCb2OB7n45jYc/bxMAxDp0+fVkRERI3t3DLAtGzZUl5eXsrKsj9Nk5WVpbCwsAs+x8/PT35+fnbrrFars0p0a4GBgfySnYNjYo/jcT6OiT2Ox/k4JvaceTyCgoIu2sbTKXu+TL6+vurWrZuSk5Nt6yoqKpScnKyYmBgXVgYAANyBW/bASNLYsWM1YsQIde/eXT169ND8+fNVWFhouyoJAAA0Xm4bYIYMGaLjx49r6tSpyszMVHR0tDZu3KjQ0FBXl+a2/Pz8NG3atPNOpTVmHBN7HI/zcUzscTzOxzGx5y7Hw8MwLnadEgAAgHtxyzEwAAAANSHAAAAA0yHAAAAA0yHAAAAA0yHAAAAA0yHAmMyiRYt09dVXq0mTJurZs6d27txZY/vc3FwlJiYqPDxcfn5+ateunTZs2FBP1daPuh6T+fPnq3379rJYLIqKitIzzzyjM2fO1FO1zrV9+3YNHDhQERER8vDw0Lp16y76nK1bt+rGG2+Un5+f2rRpo+XLlzu9zvpS1+PxwQcf6K677tIVV1yhwMBAxcTE6OOPP66fYuvJpfw/UuXzzz+Xt7e3oqOjnVZffbuU41FSUqJJkybpqquukp+fn66++mq98847zi+2nlzKMVm5cqW6du0qf39/hYeH6+GHH9bJkzXMiu0ABBgTWbNmjcaOHatp06bp66+/VteuXRUXF6fs7OwLti8tLdVdd92ln376Sf/85z914MABLV26VJGRkfVcufPU9ZisWrVKEyZM0LRp07R//369/fbbWrNmjf7yl7/Uc+XOUVhYqK5du2rRokW1ap+enq4BAwaob9++SktL05gxY/TII480mC/tuh6P7du366677tKGDRuUmpqqvn37auDAgdq9e7eTK60/dT0mVXJzczV8+HDdeeedTqrMNS7leAwePFjJycl6++23deDAAb377rtq3769E6usX3U9Jp9//rmGDx+uUaNGae/evXr//fe1c+dOjR492rmFOmb+aNSHHj16GImJibbH5eXlRkREhDFnzpwLtl+8eLFxzTXXGKWlpfVVYr2r6zFJTEw07rjjDrt1Y8eONXr37u3UOl1BkrF27doa2zz//PPGddddZ7duyJAhRlxcnBMrc43aHI8L6dSpkzF9+nTHF+QG6nJMhgwZYkyePNmYNm2a0bVrV6fW5Sq1OR7//ve/jaCgIOPkyZP1U5SL1eaYvPLKK8Y111xjt27BggVGZGSkEyszDHpgTKK0tFSpqamKjY21rfP09FRsbKxSUlIu+JwPP/xQMTExSkxMVGhoqK6//nrNnj1b5eXl9VW2U13KMbn55puVmppqO810+PBhbdiwQf3796+Xmt1NSkqK3fGTpLi4uGqPX2NTUVGh06dPKzg42NWluNSyZct0+PBhTZs2zdWluNyHH36o7t27a+7cuYqMjFS7du303HPPqbi42NWluUxMTIwyMjK0YcMGGYahrKws/fOf/3T656rbTiUAeydOnFB5efl5UymEhobq+++/v+BzDh8+rM2bNys+Pl4bNmzQoUOH9MQTT6isrKxBfBBdyjF58MEHdeLECd1yyy0yDENnz57VY4891mBOIdVVZmbmBY9ffn6+iouLZbFYXFSZe5g3b54KCgo0ePBgV5fiMj/88IMmTJig//znP/L25ivj8OHD+uyzz9SkSROtXbtWJ06c0BNPPKGTJ09q2bJlri7PJXr37q2VK1dqyJAhOnPmjM6ePauBAwfW+TRlXdED04BVVFQoJCREb731lrp166YhQ4Zo0qRJWrJkiatLc5mtW7dq9uzZevPNN/X111/rgw8+0EcffaSZM2e6ujS4mVWrVmn69Ol67733FBIS4upyXKK8vFwPPvigpk+frnbt2rm6HLdQUVEhDw8PrVy5Uj169FD//v312muvacWKFY22F2bfvn16+umnNXXqVKWmpmrjxo366aef9Nhjjzl1v8Rpk2jZsqW8vLyUlZVltz4rK0thYWEXfE54eLh8fHzk5eVlW9exY0dlZmaqtLRUvr6+Tq3Z2S7lmEyZMkXDhg3TI488Iknq3LmzCgsLlZCQoEmTJsnTs3Fl+rCwsAsev8DAwEbd+7J69Wo98sgjev/99887xdaYnD59Wl999ZV2796tpKQkSZVf4IZhyNvbW5988onuuOMOF1dZv8LDwxUZGamgoCDbuo4dO8owDP3yyy9q27atC6tzjTlz5qh3794aN26cJKlLly4KCAjQrbfeqlmzZik8PNwp+21cn9Ym5uvrq27duik5Odm2rqKiQsnJyYqJibngc3r37q1Dhw6poqLCtu7gwYMKDw83fXiRLu2YFBUVnRdSqgKe0QjnNY2JibE7fpK0adOmao9fY/Duu+/qoYce0rvvvqsBAwa4uhyXCgwM1J49e5SWlmZbHnvsMbVv315paWnq2bOnq0usd71799avv/6qgoIC27qDBw/K09NTV155pQsrcx2Xfa46dYgwHGr16tWGn5+fsXz5cmPfvn1GQkKCYbVajczMTMMwDGPYsGHGhAkTbO2PHDliNGvWzEhKSjIOHDhgrF+/3ggJCTFmzZrlqrfgcHU9JtOmTTOaNWtmvPvuu8bhw4eNTz75xLj22muNwYMHu+otONTp06eN3bt3G7t37zYkGa+99pqxe/du4+effzYMwzAmTJhgDBs2zNb+8OHDhr+/vzFu3Dhj//79xqJFiwwvLy9j48aNrnoLDlXX47Fy5UrD29vbWLRokXHs2DHbkpub66q34HB1PSbnamhXIdX1eJw+fdq48sorjT/+8Y/G3r17jW3bthlt27Y1HnnkEVe9BYer6zFZtmyZ4e3tbbz55pvGjz/+aHz22WdG9+7djR49eji1TgKMySxcuNBo1aqV4evra/To0cP48ssvbdv69OljjBgxwq79F198YfTs2dPw8/MzrrnmGuPFF180zp49W89VO1ddjklZWZnxwgsvGNdee63RpEkTIyoqynjiiSeMnJyc+i/cCbZs2WJIOm+pOgYjRoww+vTpc95zoqOjDV9fX+Oaa64xli1bVu91O0tdj0efPn1qbN8QXMr/I7/V0ALMpRyP/fv3G7GxsYbFYjGuvPJKY+zYsUZRUVH9F+8kl3JMFixYYHTq1MmwWCxGeHi4ER8fb/zyyy9OrdPDMBphvzkAADA1xsAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADTIcAAAADT+f/OSnruPyoslQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00129 1.0014 and their SDs are 0.15586 0.03995\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "finalFailList = list()\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        finalFailList.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "id": "d551a617-2f09-4cba-8b7c-433846f0549d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "id": "87683f8a-0082-466b-88a5-ebf23bdfb5fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "Now converting unit lists to vtd lists for all HDs\n",
      "1.0 8941 sum HDweight and nHDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRApatchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)\n",
    "\n",
    "print(np.sum(HDweight), nHDs, \"sum HDweight and nHDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "15 0 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchedWithCutsVTDs  #patchedVTDs\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "0ea32c64-82af-43f7-afa3-6c6ffcfee12f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "special VRA OH troubleshooting\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"special VRA OH troubleshooting\")\n",
    "cuPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    found = False\n",
    "    for c in range(nCounties):\n",
    "        if countyGeom[c].contains(unitCP[u]):\n",
    "            cuPop[c] += unitPop[u]\n",
    "            found = True\n",
    "            break\n",
    "    if not found:\n",
    "        print(u,\"unit with pop\",unitPop[u],\"not found\")\n",
    "plt.scatter([c for c in range(nCounties)], [cuPop[c]/countyPop[c] for c in range(nCounties) ])\n",
    "plt.show()\n",
    "\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "id": "437fa8bc-62a7-4c95-9f72-5e674709e213",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking if the fusing operation created the mismatch in pops, or it was surrounding opn\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above pop, below area\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking if the fusing operation created the mismatch in pops, or it was surrounding opn\")\n",
    "totCarea = [0.]*nCounties\n",
    "totCpop = [0.]*nCounties\n",
    "for c in range(nCounties):\n",
    "    for i,geo in enumerate(fusedGeoms[c]):\n",
    "        if not isWiped[c][i] :\n",
    "            totCarea[c] += geo.area\n",
    "            totCpop[c] += fusedPops[c][i]\n",
    "\n",
    "plt.scatter([c for c in range(nCounties)], [totCpop[c]/countyPop[c] for c in range(nCounties) ])\n",
    "plt.show()\n",
    "print(\"above pop, below area\")\n",
    "\n",
    "plt.scatter([c for c in range(nCounties)], [totCarea[c]/countyGeom[c].area for c in range(nCounties) ])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "a3f013bf-406e-43cf-95de-1cc332c3d4d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 1.0\n",
      "24 0.9985768318191396\n",
      "30 1.0\n"
     ]
    }
   ],
   "source": [
    "for c in [17,24,30]:\n",
    "    print(c, totCpop[c]/countyPop[c] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "id": "86164eb3-bb3b-42c4-8e79-e61ff4aa37d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "210.85547402856773\n"
     ]
    }
   ],
   "source": [
    "totFracUse = 0.\n",
    "for u in range(nUnits):\n",
    "    for i, v in enumerate(unitPartialVTDlist[u]):\n",
    "        totFracUse += unitVTDfrac[u][i]\n",
    "print(totFracUse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "7f160ae5-8b8b-4071-8d53-c51d0957fe26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unclear how we have a mismatch between unit and vtd coverage in a few counties\n",
      "5 0.98277 summed / expected 0.98277 0.059\n",
      "6 0.97853 summed / expected 0.97853 0.085\n",
      "11 0.98495 summed / expected 0.98495 0.173\n",
      "22 1.00826 summed / expected 1.0 0.202\n",
      "30 1.00513 summed / expected 1.0 1.056\n",
      "37 1.07286 summed / expected 1.0 0.056\n",
      "44 0.98971 summed / expected 0.98971 0.227\n",
      "61 0.79727 summed / expected 1.0 0.051\n",
      "65 0.94942 summed / expected 0.94942 0.034\n",
      "69 0.98827 summed / expected 0.98827 0.159\n",
      "74 1.11385 summed / expected 1.0 0.061\n",
      "86 1.02532 summed / expected 1.0 0.168\n"
     ]
    }
   ],
   "source": [
    "print(\"unclear how we have a mismatch between unit and vtd coverage in a few counties\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "countySummedUnitPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "        countySummedUnitPop[countyNo[v]] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "        countySummedUnitPop[countyNo[v]] += unitVTDfrac[u][i] * tractPop[v]\n",
    "badCountyList = list()\n",
    "badCountyFrac = list()\n",
    "for c in range(nCounties):\n",
    "    if abs(countySummedUnitPop[c]/countyPop[c] - 1.) > 0.005 :\n",
    "        print(c,r5(countySummedUnitPop[c]/countyPop[c]),\"summed / expected\",r5(totCpop[c]/countyPop[c]),r3(countyPop[c]/aDP))\n",
    "        badCountyList.append(c)\n",
    "        badCountyFrac.append(countySummedUnitPop[c]/countyPop[c])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "0c64795e-e3f5-4e4a-aee0-db502a3412b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c,v,pop,use 86 13     2249 2.0\n",
      "c,v,pop,use 86 15     1099 2.0\n",
      "c,v,pop,use 37 16     3222 2.0\n",
      "c,v,pop,use 22 21     1312 2.0\n",
      "c,v,pop,use 74 25     1609 2.0\n",
      "c,v,pop,use 74 26     1163 2.0\n",
      "c,v,pop,use 74 34     1899 2.0\n",
      "c,v,pop,use 74 35     820 2.0\n",
      "c,v,pop,use 5 131     800 0.0\n",
      "c,v,pop,use 61 925     1227 0.0\n",
      "c,v,pop,use 61 926     588 0.0\n",
      "c,v,pop,use 61 927     927 0.0\n",
      "c,v,pop,use 61 928     969 0.0\n",
      "c,v,pop,use 61 935     983 0.0\n",
      "c,v,pop,use 61 937     807 0.0\n",
      "c,v,pop,use 61 986     1004 0.0\n",
      "c,v,pop,use 61 988     865 0.0\n",
      "c,v,pop,use 61 1006     813 0.0\n",
      "c,v,pop,use 30 1362     1497 3.84848\n",
      "c,v,pop,use 6 2751     1428 0.0\n",
      "c,v,pop,use 21 3739     256 0.0\n",
      "c,v,pop,use 11 4708     2047 0.0\n",
      "c,v,pop,use 44 5710     1837 0.0\n",
      "c,v,pop,use 69 5820     1465 0.0\n",
      "c,v,pop,use 65 6613     1370 0.0\n",
      "c,v,pop,use 24 7312     1884 0.0\n"
     ]
    }
   ],
   "source": [
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 10 and (vtdUSE[v] > 1.1 or vtdUSE[v] < 0.9) :\n",
    "        print(\"c,v,pop,use\",countyNo[v],v, \"   \",tractPop[v], r5(vtdUSE[v]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "id": "2d43e2a8-add2-477d-9f09-28989fedc207",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "at this late stage, since the errors are mainly in low-pop counties ...\n",
      "simply square up by county.  First, assign each multi and skipped vtd to a single unit\n",
      "now check our updated county-level stats\n"
     ]
    }
   ],
   "source": [
    "print(\"at this late stage, since the errors are mainly in low-pop counties ...\")\n",
    "print(\"simply square up by county.  First, assign each multi and skipped vtd to a single unit\")\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 5 and vtdUSE[v] > 1.1 :\n",
    "        usingUs, usingDist = list(), list()\n",
    "        for u in range(nUnits):\n",
    "            if v in unitFullVTDlist[u]:\n",
    "                usingUs.append(u)\n",
    "                usingDist.append(unitCP[u].distance(tractCP[v]) )\n",
    "        assignedU = usingUs[usingDist.index(np.min(usingDist)) ]\n",
    "        for u in set(usingUs).difference( {assignedU}) :\n",
    "            unitPop[u] -= tractPop[v]\n",
    "            unitFullVTDlist[u].remove(v)\n",
    "            unitGeom[u] = unitGeom[u].difference(tractGeom[v])\n",
    "            \n",
    "    if tractPop[v] > 5 and vtdUSE[v] < 0.9 :\n",
    "        c = countyNo[v]\n",
    "        availUs, availDist = list(), list()\n",
    "        for u in countyUnitList[c]:\n",
    "            availUs.append(u)\n",
    "            availDist.append(unitCP[u].distance(tractCP[v]) )\n",
    "        assignedU = availUs[availDist.index(np.min(availDist)) ]\n",
    "        unitPop[assignedU] += tractPop[v]\n",
    "        unitFullVTDlist[u].append(v)\n",
    "        unitGeom[u] = unitGeom[u].union(tractGeom[v])\n",
    "        \n",
    "print(\"now check our updated county-level stats\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "countySummedUnitPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "        countySummedUnitPop[countyNo[v]] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "        countySummedUnitPop[countyNo[v]] += unitVTDfrac[u][i] * tractPop[v]\n",
    "badCountyList = list()\n",
    "badCountyFrac = list()\n",
    "for c in range(nCounties):\n",
    "    if abs(countySummedUnitPop[c]/countyPop[c] - 1.) > 0.005 :\n",
    "        print(c,r5(countySummedUnitPop[c]/countyPop[c]),\"summed / expected\",r5(totCpop[c]/countyPop[c]),r3(countyPop[c]/aDP))\n",
    "        badCountyList.append(c)\n",
    "        badCountyFrac.append(countySummedUnitPop[c]/countyPop[c])    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "id": "1bc63e06-7b58-4216-8442-dd9d2b3a54a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.848482177479071\n",
      "3378 1362 removing partial use and index [0.061896293452933494] []\n",
      "3379 1362 removing partial use and index [0.7865858840261375] []\n"
     ]
    }
   ],
   "source": [
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] > 1.2:\n",
    "        print(vtdUSE[v])\n",
    "        for u in range(nUnits):\n",
    "            if v in unitPartialVTDlist[u]:\n",
    "                idx = unitPartialVTDlist[u].index(v)\n",
    "                print(u,v,\"removing partial use and index\",unitVTDfrac[u],unitPartialVTDlist[u][idx])\n",
    "                unitPop[u] -= unitVTDfrac[u][idx] * tractPop[v]\n",
    "                unitGeom[u] = unitGeom[u].difference(tractGeom[v])\n",
    "                unitPartialVTDlist[u].remove(v)\n",
    "                del unitVTDfrac[u][idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "id": "60f7eaca-b1d9-4406-be2e-26570a5cabd4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now update each HD pop, run under and overpop as needed\n"
     ]
    }
   ],
   "source": [
    "print(\"now update each HD pop, run under and overpop as needed\")\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "id": "eab15f8e-56b8-48b2-9847-71f3ba97a9c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([t for t in popHDlist], [HDvPop[t]/aDP for t in popHDlist ])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "id": "531f627b-c57f-44f8-b60f-c0f41678ac90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 754 HDs with pop < 782696 to within 1520\n",
      "working on squaring up HD 0 time is now 0\n",
      "working on squaring up HD 303 time is now 2\n",
      "working on squaring up HD 387 time is now 14\n",
      "working on squaring up HD 566 time is now 19\n",
      "working on squaring up HD 680 time is now 26\n",
      "working on squaring up HD 1202 time is now 31\n",
      "working on squaring up HD 1663 time is now 32\n",
      "working on squaring up HD 2117 time is now 39\n",
      "working on squaring up HD 2354 time is now 51\n",
      "working on squaring up HD 4931 time is now 56\n",
      "working on squaring up HD 5690 time is now 68\n",
      "working on squaring up HD 5885 time is now 87\n",
      "working on squaring up HD 6874 time is now 101\n",
      "working on squaring up HD 7080 time is now 117\n",
      "working on squaring up HD 7353 time is now 147\n",
      "working on squaring up HD 7553 time is now 169\n",
      "working on squaring up HD 7668 time is now 186\n",
      "working on squaring up HD 8171 time is now 192\n",
      "working on squaring up HD 8780 time is now 195\n",
      "We have addressed underpop in a total of 754 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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zzzVU5ubKq232TipclbH6elhUG6najKg+sERIQYZ0DcX4fu1ldaWu7XYctqpeVABmbcrATTMTizpSZWFrHB1/Hw+UVwj8VnrH5rZiOgRhh05vd0mOAHCzqBz/eSkabqrf2w/1bheAwxduYmhXLf6197xDJUTGG/beM7+ihVcz3CqxfRzVVS39qO05rWxVjwA1e73JWWdv6ZTc7/mSH89iyY9nG2y7ofpq48Q2P9QUsPu8FU2p+7xRXXRfdeXAapbY01XaUhsQoye6a/HdCb3deXBTwWRcIX9vD1lVZ1W7mjs60GFtWjOxDx4ID5Q1gKWzXdXrY2Tpqp+9fqsU72w/JTu/1oZIqC/2dF+vzTywsTk1JOw+TxbVdiNlVw+sZoncrtLW2oAYbXMgCAJ+D4KGdAlB73YByC8qx9Kfztr8nLEUxdJUJ/Xt2q2SOnvSt9YD0NF11pj7flYPaK1paO2G6qKNk5ygk21+qDFjIKQwtXmDk9P7xnixzL56y8EjMGUroJLT6NfZItHkk1eRfPKqzXRVg8zKqU7sC4LcVIAQ9uXXkWo2Y6DmTO+ehjgmj6Xvp71Naepq9HU57O2+bi97SnpsBacN8TtBBDAQUqTauMHJeTKdtSkD87aehL6w1GXHYquNSkMaqt/YEy4lU29zqhNzHGn7KgA80D4AB87ftJnWXGmgI0/6DbGaRE7JoD0lQ0DD+G7V5pQVrhxWoCF+J4iMGAgplKtvcBpvT5tPpuYaPptjzIHGyrg7cqvwanvMGnsZDMKuNimuYAyCrN3oq8/Xlnb2hsn3Qm5pQkMak6d6WyBbJYMGUTk6982iciz58YzN7TeE71ZtNWp3ZZVbQ/pOEJnDQEjB7GlnYeti9mK/9i7LV6CvJ4ZFtYbG2wMfpmY7VYVnbBPVEBojqwC8vUWHvNvyAkJXM3aLGNSpFY5eyjfJR9UeWdXnAZP75G7r5gkA87aerJO2NY42Qm/ZQo1x/cKx8ch/G8U0ELXV5s9VVW4cp4kaAwZCZJOci9mWY1ec3s/QrlrsP3cDN26XSV38Nd7NoFKpkF9U86Yt5ynS1sCNdUkA9RYEGfevApCZewv7Z8Xi8IWbJqU+luYos/TkXr2a1GAQNgMPfWEpluw6g2mx97j8+Ixs9RK0JriFV6PqEl5beXW0yq3qd6JlczUyrxTWahsmIldgIKRgchsvynk6vHG7DIG+Hrh52/EpJHboavbeKiiuHA/ntdh70b6lj0ONLId0DcVrsffYnDdLCYw3nsMXbprceOx9cjdX4uLv7SErDx+m/oKO2ua1Uh0ipy2QOVVLTioMAhpvT4zv1x7fHrtstuSsIVXl1MaUFY5UuTkzFERKpp6BENUbBkIKZU/jRblPh09FtZE1WKMjEvfl4PDbgx1+Cp868B6sOXAJ+sL6ryLzauaGEiemwnCF6n9TuVUh+8/dwK2ScrMlLnKnHwFqrzrEkZntq5acpGTqa/wuAn09MTyqNQZHahtsTydXd1+XU6XspgJu3q7s+OBMKRwA/GvveTwQHtigAkxSDk6xoUDGi1b1i5yxCqT69BVynw5jI7VY+mwv1MZ9Ir+oHPvP3nD48+5uKsx7MhIq2DedRm1wZj4wV6n+N5Ub7P5p1WHM3JTh9JADtTWNiyO9o0L81Hg19h4czMnDZDO/i5u3y5C49zwKistcEgTV1lQYrpyywt1NhSd7WA9KDAKYsvookk7kOlQKV91fN5xAWQP4bZDysERIQSoMAvvP3sDMjeZvZJYaL9rTIPNATp5dXZDtGecm7dx19Lunpcnx2PMEbKkKoa7V51Du5hrPVhgErt+SN6RBgQNTd1hSG93P5Qbts+M7o2ULNc5fL8KaAxetVpvKbdQr5/vYWLqRVxgEth6XN5/f7C063Lhd5vQ+fyu9g57v/IAPRvZoUOeCmj4GQgoht/7eXONFexpk2ntz02q8EBXmb7Z9UE2/31QcvaEYqxCW7MpWZJsh41hGxht0fU7xYS5ocXbQPblB+7h+4UjJ1OOj1F9kBaa2GvXK+T42pm7kcqsYje0DXeV2aQUmrzqC5Q3oXFDTx6oxBbBUFWZN9YDGWJqi1ZjevLQaL5MLuNwn8ubqZvjPhGj8PGMgnu/TTtZnjDcge6v2zFl78JKsfbqah3v9Vsz5+/zeoNmR74UrWJqRPFmXiwf/uQujV+zHtLXHMHrFfjz4z12y/p5Gcma2rzpxq72lczt0uTWqs+R8H+UMLTD/u8wGM7t9fQ8W2ZDOBTV9LBFq4hztRWMuoJHTIPOB8EAE+DTDzSLrVSi/ld6Bm5sK7m4q3N8+EM3VzazO/B7g44E+dweh7I4Bf/vWvqq96hxpUOsq5RXy/xKOTI9hS0FRZUPnpc/2wjvbnW/X4ajqXbpdWVoipxdV2tkbDn0Hvk67gK/TLkilPYMjtbJ627VQezSqbuT2DsDobI/R6hrSuaCmj4FQE1ZhEFi5N8euC371bsTmgh5rF6eUTD3K7si7HF67VSJVKVgLggBgwYhuSMnU42/fWh+QUM4NJTXTsUlW69JrsfdizYGLLu/lZvzLzNx0AoUubO8jV5CvJ959qmuN8YhcPeieraDd2RIPY4D2auw9sgKctHPXZW23vktijOwZiDTI1xPzn+iCP6896tLgvaGcC2r6GAg1UY60/ZDTjfgfw7rise7mn8zt7UJ7/nqRzTYaoRovzI6PRJb+N3yY+ovMLVu+iJbdMWD94fqpFrPHif/eROmd2gtUaiMIsnUTDPT1QNqsQfBsZlojX1sTh1oL2p2dHsMYoCXKHi5CXgDXEKbtAEzbBdr6Pd+4XYZ3d5zCyw+FY+vxXKt/S3c3oEJmx7CGci6o6WMboUbA3u62jrb9MLb3AWD283m3y/Cn1UewICnTbB7tqYLT+qmx5sBFmzfOt4Z2wt+3nbQrCALMX0STdbnos2AnbpVU2LWt+rDz9K82qxcbmhG92phdbhyy4L2nutUIgoDanTjUEmOJhzMttgTkj50U0yHI6v4stZuqT8YqxlCN7YBEX1CCL3bnYHZ8Z7xmZdRwOUFQQzwX1LSxRKiBs7d3lCNtgvy9PbD0uV7oc3fl03Pvf6RY/fznu3PQ4y5/PNa9tVR9tvfMdbsCr2fuD8NHO61PbJl3uxxT1x6TvU3A8txKybrcBjHNRlOlUgEbj1w2u87WCMe1NXGoNa6cesXf2wMFxdYnB+5zd1CjmbajqqpVjFduFmHetkzcMlOaaCwhe2f7KQjheOVYQz4X1HQxEGrAHGlAak9DYONlZuEfuqFfROX4PB+n/mIyr5clb2/RAVDhne2Odb2uzXHTql9EKwwCMzdl1N4OCZbufa/F3oupAyOs3tRqa+JQWwZ2CnFJm5YX+4Xjo9RfbAY4tTEVRl0wVjGmnYXZIMjIWIXpjIZ+LqhpYiDUQDnagNSe6oPqF50Kg5Dd5iHvdjn+tNqZp2nX91cK9PXAe091q3ERXbLrjKzgjlxLBWDtwYuYOjDCajpr41QZ1UYJwb/Tzjv1LTQGaFMHRqCjtrmsAMfVU2HUpdpqvNzCyx1/H9YNWr/Gcy6oaWEg1EDJbUC6cm8OWrZQSxdUe0bWHdcv3OSicyAnz675opwRc3dLbDxy2WIpgL2CfD1rNMStMAjsP3cDn/+/sy7YA9nLnkbOxtKSmZsyagStGh95k7naOxjjhbwiWdsFajYEN1faIzfAMZawGPO77cQVi+mNafQFxci7XYbA5up6Cxhqq/HyrZIKaP282FWe6g0DoQZK7tPXO9tPSf8P9PXA35/oIntk3eoX0rroriq1mejwe5sJV2zz3ae6SkFQhUFgya4zSNybU2eBHVm298x1WcGJwSDMltwZxz6yNpaQIyONtwv0kZX/P/Zqg73Vxh0yV9pja2gJe/NrrednfUzL0btdAAJ9PawOX+EodpWn+sRAqIFq2Vxt92eMjYsHRwZDX1Bid6PM2u6uWn1kX423JwZ2aoVdp381yaebCpjwYDi2nci1WWJk7uZhrlTBHm4q2DVfGlm35MffG8VbuoEnncjF1DVHzX7e1lhCjg7GOCamPd5NOmX1b+2mAt4b0R3ubiqXVWfJyS8Aq13Xc2tpWg5LpWrGoKw2giDAsesdkaswEGqAknW5mLf1pMOfT8m8hon9KwOJqk+TGh8PvNg3HIMjtWY/Z6vRqrM0Ph5YOKIbAODBf+6yWPUnBPDlnhy8/FA4Pt+dY3Wbs+M7Y3CkFmlnbyA1U48E2eO6WOZEpxeywdwNPFmXa7O9maVqNmcGY/Rs5oaJ/a1/xyb2D5dKGl1RdSM3vwaDkPUbrH5s9lYPVk1vnIC26iCeoRovPNkjFF/szqnVUch1lwvQ5+4gtg+ieqESzvR1bOIKCwuh0WhQUFAAPz+/OtmnvYMSWmJsM/PZT2eQuPe8SRWRtWJ14/4B841WNd7NUFxWgTI7poowUgF4+aFwWRdVFYAQPzVK7hislu74+3jAq5m7y0dgpppcOWpwgI8HDr09GID1oLi6j5+JwrCo38crSjt7A6NX7Lf5uTUT+1gMZBYkZWLFnhyTkiEVgMe7a/HRM71cenOWm197GI/N3urB+pxw1xz//z0osccYuYI9928OqNiAODovmDk3bpfhs5/O4KPU7BrtZKxNTmppclV/Hw+8FnsvXujTzqEgCKi8ia7YI+/JUgDQF5barOLKLypnEFQHurb2c2mJwM2icizZlW33vG/Vq29dMRjjrMcicfqdofhjrzbw8XQHUPn9++6E3u5JX53JhzPbtHci4vqacNea/KJyTJY5aTKRK7FqrAFx9WSgiXvNdw+2VWVgqQcMAHSf/71TeWLbm8ZJd6XQ5dtM3HsebYN8Zac3N9qwqwZj3HX6KjYeueySSV+dyYcjsvSFWHvwv7J/66584KoN87aetGteOSJnsUSoAZH7tOj7v6dWW6z1mKra5sIcYw+YYVFtENMhSGoseru04U9PQY1DfnE58n4rlZ3eXCN/W1NlyJmuwVa7HaAykLA0tY09U+C4YmqP6pb9dA55t8ssrq/+W3f1A5er6QtLLV6XiGoDA6EGRO7T4kv9w22m8Zc59oo9RfV13cXV37uZS28YjY0KgJdH0/6JBvp62vyuqlTAsmd7mi2RMQ7GCNSc1lTudA32TPpaXbIuFw/+cxdGr9iPaWuPYfSK/Var06zlt7YZf7+Noat6Y8gjNR1N+yrbyMh9uv3LoHsx6SHLwZAKwIt9bQdLgH1F9XU9G3R+8Z0GW3xfFwSAVx62PipzYxfcwgtlNuZb0Xh7IM5KtZSldm3GSYQtzclnLMXZe+a6rLx+L7OdjbU2eNbyG+TrKSsfjjL+fhvDrO6NIY/UdLCNUANibaqB6k+3sx6LRI+7AvD2Fp1Jsbixl8jgSC3WHrzosvmbKgwCBiHg7+3BQQrriL+PB14Z0AFrD15s0FUZjjB+/w6ev4GiMuvVrflF5TZHp7ZnZGdHe0utTLuAywXFWDH2fqe67VvKb+92AXh48Y8u/1tX/63bO0yGsbfnlmO5ddIxQeun5szzVKdYItTA2PN0+1j3UBx8KxZrJvbBx89EYc3EPvh5xkAM6RrqkioDo6QTV3D/uyl47st0BkF1KL+oHH9ZcwTP3N+2vrNi0eDOwQ59TgD422OdsXLfBVnpUzP1NtOYa9dWnbO9pVIyr+Hd7ZlOVadZyq9nMzfpN+sq5n7r9lbPvfxQOHq2DUBtzA9ozrCo1mwoTXWK4whZUR/jCBnZOzCaJUknrvyv1EjeOELVLUjKtDmoYWPg2czNZhVMQ+bhrkK5g8MW1CbdvDgM/vD/WS1dsDRSdwsvd9wqkdf4PtDXAwffGuzUDbLCIOwas8gSNxXw/h97YPqG4zbTVh/3SI6PU3/Bh6nZjmbPhK1xhOZtzbRZyuPv44GCovI6q6ZWAS4fMZuUh+MINQFynm5tSdbl4p3tp0yCoEBfT8yOlxcEJZ3IbRJBEACHg6CG0li5IQZBAJBxucBqyaMKldOlmCM3CAIqp49xtieRq3pLGQRw9NJNWWkdaesydeA90Po53kYm0NcDHz5tWkJszpCuofhgZA+b28uvwyDIyFovPSJXaxhXeXK5pBNXMNlMFcDN22WYsvoIkk5csdrlt8Ig8PYWXV1mudZovBxvCjeip31P80pz7VaJ1ercpc/2wrYTrhkgz9meRK7siSQAp7vtW+LupsK8JyOlQNJeI3vfhad6ynuAun5b/vAFdUVOtSKRK7GxdBNkawJLAJi65qhJdUX1IvQDOXlWxyZpTHqE+WN3tryeQdV9d+KKi3PTtLT0rZws01JjZVeOWeNsTyJX9kQKD/KV3bHBEcbg0pFG3V/szkHPtgGySn0bcu8sdqGnusISoSbGOIGlrVLl6uurd/ltqBchX093NFfbF7/vzr4OR5uW2FN901i4shnqwfM3pP+bq851xfeoeumKPQMYVk2vLyxBgI/zz35uqsqZ6x3ptm+PIV1D8fOMgXgt9h67Pyu3aqk2Bnh0lYYcpFHTwhKhJsTYpdcR1bv8NtSL0O3/dbUO9PVAdHgQduhs9yYCOLVHVa48Fct+Oov72wehj4VqGGe/R9VLVxrCxKJVZ6S3p9u+NdY6R6w9eMmubVWtWqo+5IC5/Vgr2RKo+8bSgOPVikSOsKtEqH379lCpVDVeU6ZMAQDo9XqMGTMGWq0Wvr6+6NWrFzZu3FhjO9u3b0d0dDS8vb0REBCA4cOHm6y/ePEi4uPj4ePjg+DgYLzxxhu4c+eOSZqffvoJvXr1glqtRkREBFauXFljP0uXLkX79u3h5eWF6OhoHDhwwJ7DbXScrYaoegE1Pik2VHm3y7FDp5c9gjbVjrIKgecS0vHgP3eZbXf2QHggAn3l/Y3+2Osu+Hubpq1aulKXE4tGhraosUwFYFCnVhjQMcSktMXZjg3WRqd25jddvTTO0n4AWCzZWv58L7w3vFudN5Z2plqRyF52lQgdPHgQFRW/VxXodDoMHjwYI0eOBACMHTsW+fn52Lp1K1q2bInVq1dj1KhROHToEHr27AkA2LhxIyZOnIj33nsPAwcOxJ07d6DT/d4ot6KiAvHx8dBqtdi3bx9yc3MxduxYeHh44L333gMA5OTkID4+HpMnT8Z//vMf7Ny5Ey+99BJCQ0MRFxcHAFi3bh2mT5+O5cuXIzo6Gh999BHi4uKQlZWF4GDHxj5p6FxVnXXtVonJ4I7OXAR9Pdxwu7z2uq3bmp2e6kZuQQn+tNq0XZqxpOYfw7rWWFddqMYL//xjdwAwWzJi7wCGzk4sOvvxLujdLgD/TjuP3dnXceTiTdwquYOdp3/FztO/2jUEhTXGYM3SZK8v9mvv8LarlsbZ2s9nz/fCzzMG1jj3KZl6/G1zhsN5sJe/jwcWjujGrvNUp5waR+jVV1/Ftm3bkJ2dDZVKhebNm+Ozzz7DmDFjpDRBQUH45z//iZdeegl37txB+/btMX/+fEyYMMHsNnfs2IHHH38cV65cQUhICABg+fLlmDFjBn799Vd4enpixowZ2L59u0kA9cwzzyA/Px/JyckAgOjoaNx///1YsmQJAMBgMCAsLAx//vOfMXPmTFnHV5/jCDki7ewNjF6x3+ntrJnYRypSd7ZqIcDHAyXlBhSXN722NmSd8Xn+s+d74ejFm1aHYlhuo02N3O+28bvr6G/BOArzzzMGSlVx1h4Glj3bE491b233fgDb4xqpUDncxQ07Oy1UP4YKg0C/hTuhLzTfQ6x6eqNkXS4mrzpi176dtezZXnisO4Mgcl6djCNUVlaGVatWYfz48VCpKn88ffv2xbp165CXlweDwYC1a9eipKQEAwYMAAAcOXIEly9fhpubG3r27InQ0FAMHTrUJKBJS0tDt27dpCAIAOLi4lBYWIiTJ09KaWJjY03yExcXh7S0NClvhw8fNknj5uaG2NhYKY05paWlKCwsNHk1Jq5o+Fi9bt7YYHPNxD74cFQPuxsq3ywqZxCkUFVnbu9xl79T25Jb2rkn+xr2nrmOHRbm+bKmenskOaVKU9ccRZKDwwPIGZ36xu0yBPp6yP5Nm+uxtmTXGYtBkHE/1burVxgE5m09KXOvrvO3zRkcP4jqnMOB0ObNm5Gfn49x48ZJy9avX4/y8nIEBQVBrVZj0qRJ+PbbbxERUTlx5Llz5wAA8+bNw9tvv41t27YhICAAAwYMQF5e5Y9Qr9ebBEEApPd6vd5qmsLCQhQXF+P69euoqKgwm8a4DXMWLFgAjUYjvcLCwhw4M/VHztD5sTamRHiyR2iNunljG4inet2F90d2d0VWSSGMN1lbY1LN3JiBvWeuW7wJym10veync3juy3R8nSZv6o6qqvf2ktM+xyCAP622PMGqNXKDu6f+NzK1nGDIeAyDI7VIO3sD73x3Eh+m/mJ3fg7k5FkNnmpLflE5luw6U+f7JWVzOBBKSEjA0KFD0br178XCs2fPRn5+PlJTU3Ho0CFMnz4do0aNQkZGZR2zwVDZVuStt97CH/7wB/Tu3RuJiYlQqVTYsGGDk4fivFmzZqGgoEB6XbpkX2+NhsBSl95QjReWPdsLJ69YL+XaejzX6hPZkK6hWP58L6dGvrWETSObrqqjm5uTX1yO575MlxoJV1fb3bwDfT0wO76zSfWcPW3uHBkJWW5wFxuptfKb7lljrkEAUqPohL3nHcpPfQ6fkbgvh6VCVKcc6j5/4cIFpKamYtOmTdKys2fPYsmSJdDpdOjSpQsAoEePHtizZw+WLl2K5cuXIzS08iITGfn7xIJqtRp33303Ll68CADQarU1enddvXpVWmf817isaho/Pz94e3vD3d0d7u7uZtMYt2GOWq2GWq2261w0RM4Mbmep26217f9y9RaW/njWobwa2yfMju+Md7afMsmfpTmqqOmq2ni3alBStfF+9W7ernDzdjmmrD6Kz9xU0n7t6fov53dTna1Z4I1thPQFxdBqvPH/3ngEhy/cNNuQ3PhbXLLrDD5K/cXu81O9Srw+h8/ILyq3+1wSOcOhEqHExEQEBwcjPj5eWlZUVFS5QTfTTbq7u0slQb1794ZarUZWVpa0vry8HOfPn0e7du0AADExMcjIyMC1a9ekNCkpKfDz85MCqJiYGOzcudNkPykpKYiJiQEAeHp6onfv3iZpDAYDdu7cKaVp6sx16ZUzgzcg72mw6vYfjGjlUB6rtmd4rHtrqS3Sx89EYXZ8ZwZBTYSfHVOcVG1XVL1UYEjXUCx9ticCZHbHt4e5/do7hIS1qj1zbFVlG9sIvbb+OEav2I+HF/+IguIyk9909S7xHzoQBAE1u6s/EB4IrV/9PRQ21AFdqWmyOxAyGAxITEzECy+8gGbNfr/AderUCREREZg0aRIOHDiAs2fP4oMPPkBKSoo0TpCfnx8mT56MuXPn4ocffkBWVhZeeeUVAJC64D/66KOIjIzEmDFjcPz4cXz//fd4++23MWXKFKm0ZvLkyTh37hzefPNNnD59GsuWLcP69evx2muvSfmZPn06VqxYga+++gqnTp3CK6+8gtu3b+PFF190+GQ1ZhUGgW+PXZaV1tzToLXRfB2ttvBVNzN58q8aXLVs0fhL5qhSYckdu0b2tjTXlLlJhF2p+n6rBipyLPnxDHq/k4KPU7NRYRCyRsC2VJVtTvXxkpwZJ6mq12LvqdFjr3K+sy5ObdcZDXVAV2qa7K4aS01NxcWLFzF+/HiT5R4eHkhKSsLMmTPxxBNP4LfffkNERAS++uorPPbYY1K6xYsXo1mzZhgzZgyKi4sRHR2NXbt2ISAgAEBlCdK2bdvwyiuvICYmBr6+vnjhhRfw97//XdpGeHg4tm/fjtdeew0ff/wx7rrrLnz55ZfSGEIA8PTTT+PXX3/FnDlzoNfrERUVheTk5BoNqJWicu4weTeQm9UmYrQ1mm/Vagt7/FZ6x+I6XgibFkdK96qWCtjqxu5KVfc7pGsoJvZvjxV7zsv6bH5xOT5M/QWf7z4Lz2ZuJuNcWRp7qGpVs76wBO9sO2n2t1p1vKSBnUKcGiepap6mDjQ/hYexPeDMjRnIL66b8bqMVeUcVZrqklPjCDV1jW0cIWu2HLuMaWuPyUrr7+2Bpc/1Qp+7g5CSqTd7A6o6Rozxwl452avtec6qCjUzfgnw+xgrltpPUMPk5eGGEhcNoGkcE8jWeDuu9p+XotEvoiUA22P92MPcb6Y6ueMfGdvU1WZejCoMAm9uOIaNR2t/AmKVzDwR2VIn4whR42JPCYuxB0+/hTsxc1OGxdF8BYC3vtWh7E7ljS/A19PuJ39zVSCA/dUSVP98Pd1dFgQZG+9WGARW7s2psyAIAF5ff0yqfnJ22pqqrLV/MpLbNuZCXpFTebFnYlh3NxUWjYyq9elsQl00WS2RvTjpqkIY2/HYc1GXM47Ijdtl6LMgFf8Y1hWZuY4NQGnp4j+kayhefigcK/bksOF0I+DKP9Hs+M5IydQ7PWGq1k+NOY9HIsBXjWu3SnD++m18mJpttefZ1cJSqeda6R3XTg9jbUJUQP4DS7tAH4f2P75fewyO1KJ3uwAcvnATW45dljVRrLubCgtHdKu16snXYu/B1IH3cH4xqhcMhBTCWMJSG0Pm590utzmXlDXnr982uzxZl4svduewaqyBM1aHFZW5bgTx7Gu/4aPUbKf+9q/F3oupAyNq3Fw7altg3tZM6AvNB1hV2+K8P7KHEzmwzFLwL6dLvVbjhTEx7fHlzzmyq45VKuCTZ3riiR6tkazLxUOLdpk86Gj91Jj3ZBerpTHGht3OBqfV+Xq6MwiiesWqMQWpbPgZXt/ZqOHD1Owag+g5O2km1Q0V4LLqsKoS9553+G8f5OuJZc/2wrRY8zfXIV1D8YGNAMdYcgOBWhnI0VLJj7Uu9VWHm/Bs5mZX1bEQwNytJ7EgKROTVx2pUdqrLyzF5FW2R8iuOuXO0K6u6Xhyu6yCo0lTvWIgVA/kdKutDUkncrFij+WJL+vT377NkNoaAa5tm0G1p7a+ufb2UvJVu0v/v3G7DO9sz5Ru6uZ+b9dvy5s+YtfpqzanrbGHCjUHL6zOUpf66u16jOn8veW13cm7XWZ14lsAmLnJ9lxfxmEuljzb22UjzH+x+yxHk6Z6w15jVtRGrzFbXdFrS9KJK5i65miDbmsT6OuJ957qiiFdQ+3q5UZNhwqAxsfDpNu5o9sRAAZ2aoVjlwqQV2UG91CNF0bdF4aPd2bL2tby53sBQI3fbYCPB0rvyK8StKenFgCTEaOttePZm30dzyWky8qDHP9+8QH07yhvkFRXzlD/Wuw9mBZ7r0u2RWTP/ZuBkBWuDoQsjYVi7wXSkf3WRtug2mDsPqvx9pTVjZiaDuPv4NXYe2VPFFoXjEM8AKgRmADAkl3ZSNx73qQUK8DHAwKQNY6Qs1w91ISvpzs+GNXDaj4rDAL7z95A2rnrOHPtNpJPyhu13hp/bw8cnj2YbYXIJRgIuYgrAyFb45EYG0GaG1OnNvfb0BjPw67XByByTjLbCDVBoRovPNkjFFuP55otGR0cqW1w31njmEaWmCu9AWoGTrV1k6+NASeXW3gwS9blYuamDKdL7cyxdZ6J5LLn/s1eY3XEVpsXW91qa2u/DY3xPLyXxIbSTc3URyLQL6KlFBC8OaSzxUDBOFJ5Q/kO2Brfx9huprq6uqkb2wv97dsMl01BMmtTBgZHak2Ct9ouXbbUk4+oNrGxdB2RO1CaqycbdGR7vp7uthPVsn/vv1jfWSAX8lW747XB90qThQLmJwY2khoCWxjEr64rTxyZ8qUuO0VUGAQ03p54a2hntLBjkltrbhaVY/+5Gyb7mLtF55JtW5L3m7xG7ESuxBKhOiL3QurqObbs3Z4KwDP3hyFh73mX5oOU7XZpBVIy9Xa1jzHOwWWuDY5W44XZ8ZF4Z3tmrU7D4ujcV3XZKcLcvlwl7ewNabqRJbvO4OqtMhufcE6gr2etbp/IHAZCdUTuQGmunmzQ1n6rMl6oNd6eDITI5eZ/l1mjqsUWdzcVpsXei6kD7zFbjebmBrsn+5Wr6rg99uTZUnsd4+zxruwUUfuT0QppP3XRgF2r8a71fRBVx6qxOiJ3oDRXN6a0tl+jF/u2w5qJffDzjIEY0jW0xuzzRK5gaV45OSxVoxmnYamNNsj2zMdlZG0gUDlzjdmjLgYdjbm7pbSf2mZrfCWi2sISoTpkaYh6bS2PI2Rpv+aK6isMwqlZratSAfD38cDNWuhdQo2Tq9vAuWoalqpd99u39HG4l1dddoqo7Y4Qvmp39OkQVCcdLlSonQdBIjkYCNUxY7uHuupWa+9+Hb3oVZ/E0rjVBSO6AUCtdbelxsWVbeDsKREJ9PXAU1FtEBupxc3/jTxdGw8jddkpwtVBZXXP3BcGdzeVS/fzUr9wbNeZHzaBs85TfWEgVA8sdbVtCPu156JnDHZefii8xpgw1W8slY1ezyBxb47d0yfYa+ojEfBwV2HNgYs15lSi+lEbbeDkBu2z4ztjXL9wk6A/rmvtPIzUZaeIls3VstIFVCuVDfT1kNXFPjZSa9d+5BgUGYJZ8ZaHTSCqDwyEyIQ9F+iqwY61MWEAY6PXezB1YARW7s1xWfWbOfeENMewqDYmDWzPXy9C4r4clko5IVTjhff/2APXb5fi+q1S2X/D2moDJzdob9lCXWO/tfUwUqedImTWB37ydE80a+Ym/TZ7twvAw4t/lJ9HFzZCunarpN4eBIksYSBEJuT0MvP38cDS0b3Qx8yYMLa4u6nQsoXrnjDNMQZz1fM0dWAEpq4+gh0656cDUJKqgUy/eyq7UlcYBL78OUdWb8TaagNXX0NSWGPsnPDKqiMWq4tdFRDKnTg2r7gMw6LamCyzJ49y9yNHXf4tiORirzEyYat3mwrAwhHd0O+elg5fzOVeDKc+EoE1E/tg2bM9Eaqx/RlbM3u7u6kwNqa9HTltuFRArfSUMsdc7yk5vSDH92tv0hvR1YxBu6XTIGem99ogd/Z4ZzkTCNqTR1cEL/X1tyCSgyVCVENt926TW33w2uB7pWArrmsoDuTkITVTb3aMI7lP2/aMq2SL8Wl6UKdW2Hn6Vye3ZrrdED81nrm/LT4yM0O68egm9g93SY8pS3w93fHF2PvQ5+4gs+e0vnpBGtVl6Yu96qJThLPVcHLz6Oxvpr7/FkS2cNJVK1w9+3xjY24iSVddyIwDwQHmb2DWnpydHbXX0r5tcVMBVYd/qbpPc3ny8XRHUVmF1W1auoEbj9/WsTozqrC/jwfyi8pr5MGYD7mlF7X5PZGjLkdxbmic+R25Yj9yKOVvQQ0LZ593EaUHQrXNmRuYszdfS/ueHR+JAF9PXLtVgpa+akAFXP+tVGpkevjCTYv7NJen73V6vLU5w6TXjtZPjXlPdgEA2WM7WTtW4/qUTD02H7uCvNvmp0EI1XjhmfvbmoyTk5KpbxJBRH0HY/WprgJBc/sxzgWXX+37PfqBtmjf0ldxfwtqOBgIuQgDodpXnzewutq3tf24Og9Vt9eyuRoQlY1drW1byUFEU1Gf32UA/P5Qg8NAyEUYCBERETU+9ty/2WuMiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFh2BULt27eHSqWq8ZoyZQoAQK/XY8yYMdBqtfD19UWvXr2wceNGs9sqLS1FVFQUVCoVjh07ZrLuxIkT6N+/P7y8vBAWFoZFixbV+PyGDRvQqVMneHl5oVu3bkhKSjJZL4TAnDlzEBoaCm9vb8TGxiI7O9uewyUiIqImzq5A6ODBg8jNzZVeKSkpAICRI0cCAMaOHYusrCxs3boVGRkZGDFiBEaNGoWjR4/W2Nabb76J1q1b11heWFiIRx99FO3atcPhw4exePFizJs3D1988YWUZt++fRg9ejQmTJiAo0ePYvjw4Rg+fDh0Op2UZtGiRfjkk0+wfPlypKenw9fXF3FxcSgpKbHnkImIiKgpE06YNm2a6NChgzAYDEIIIXx9fcXXX39tkiYwMFCsWLHCZFlSUpLo1KmTOHnypAAgjh49Kq1btmyZCAgIEKWlpdKyGTNmiI4dO0rvR40aJeLj4022GR0dLSZNmiSEEMJgMAitVisWL14src/PzxdqtVqsWbNG9vEVFBQIAKKgoED2Z4iIiKh+2XP/driNUFlZGVatWoXx48dDpVIBAPr27Yt169YhLy8PBoMBa9euRUlJCQYMGCB97urVq5g4cSL+/e9/w8fHp8Z209LS8NBDD8HT01NaFhcXh6ysLNy8eVNKExsba/K5uLg4pKWlAQBycnKg1+tN0mg0GkRHR0tpzCktLUVhYaHJi4iIiJouhwOhzZs3Iz8/H+PGjZOWrV+/HuXl5QgKCoJarcakSZPw7bffIiIiAkBlu51x48Zh8uTJuO+++8xuV6/XIyQkxGSZ8b1er7eapur6qp8zl8acBQsWQKPRSK+wsDBbp4GIiIgaMYcDoYSEBAwdOtSknc/s2bORn5+P1NRUHDp0CNOnT8eoUaOQkZEBAPj0009x69YtzJo1y/mc14JZs2ahoKBAel26dKm+s0RERES1qJkjH7pw4QJSU1OxadMmadnZs2exZMkS6HQ6dOnSBQDQo0cP7NmzB0uXLsXy5cuxa9cupKWlQa1Wm2zvvvvuw3PPPYevvvoKWq0WV69eNVlvfK/VaqV/zaWput64LDQ01CRNVFSUxeNSq9U18kZERERNl0MlQomJiQgODkZ8fLy0rKioqHKDbqabdHd3h8FgAAB88sknOH78OI4dO4Zjx45JXd7XrVuHd999FwAQExOD3bt3o7y8XNpGSkoKOnbsiICAACnNzp07TfaTkpKCmJgYAEB4eDi0Wq1JmsLCQqSnp0tpiIiIiOzuNVZRUSHatm0rZsyYYbK8rKxMREREiP79+4v09HRx5swZ8f777wuVSiW2b99udls5OTk1eo3l5+eLkJAQMWbMGKHT6cTatWuFj4+P+Pzzz6U0e/fuFc2aNRPvv/++OHXqlJg7d67w8PAQGRkZUpqFCxcKf39/sWXLFnHixAkxbNgwER4eLoqLi2UfK3uNERERNT723L/tDoS+//57AUBkZWXVWPfLL7+IESNGiODgYOHj4yO6d+9eozt9VeYCISGEOH78uHjwwQeFWq0Wbdq0EQsXLqzx2fXr14t7771XeHp6ii5dutQItgwGg5g9e7YICQkRarVaDBo0yGyerWEgRERE1PjYc/9WCSFEPRZINWiFhYXQaDQoKCiAn59ffWeHiIiIZLDn/s25xoiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjWr7wwQEZGyVBgE9p+7gbSzNwAIxNzdEn06BMHdTVXfWSMFYiBERER1JlmXi5mbMpBfVC4tW/LjWfj7eGDhiG4Y0jW0HnNHSsSqMSIiqhPJulxMXnXEJAgyyi8qx+RVR5Csy62HnJGSMRAiIqJaVWEQ2Jt9HTM2ZthMO2/rSVQYRB3kiqgSq8aIiKjWJOtyMf+7TOQWlMhKry8sxYGcPMR0CKrlnBFVYiBERES1IlmXi1dWHYG95TvXbskLmohcgVVjRETkchUGgfnfZdodBAFAcAsvl+eHyBIGQkRE5FIVBoGVe3NkV4dVpfVT44HwwFrIFZF5rBojIiKXsbdNUHXznuzC8YSoTjEQIiIil3C0TRAAjiNE9YaBEBEROc2RNkG+aneM69sefTmyNNUjBkJEROS0Azl5sqvDjOHOByN7sASI6h0DISIicpo9Xd61Gi/MfSKSQRA1CAyEiIjIaXK7vM+O74xx/cJZDUYNBrvPExGR0x4ID0SoxguWwhsVgFCNF4MganAYCBERkdPc3VSY+0QkANQIhozv5z4RySCIGhwGQkRE5BJDuobis+d7QasxrSbTarzw2fO92CaIGiS2ESIiIpcZ0jUUgyO1OJCTh2u3ShDcwgsPhAeyJIgaLLtKhNq3bw+VSlXjNWXKFACAXq/HmDFjoNVq4evri169emHjxo3S58+fP48JEyYgPDwc3t7e6NChA+bOnYuysjKT/Zw4cQL9+/eHl5cXwsLCsGjRohp52bBhAzp16gQvLy9069YNSUlJJuuFEJgzZw5CQ0Ph7e2N2NhYZGdn23O4RETkAHc3FWI6BGFYVBvEcHwgauDsCoQOHjyI3Nxc6ZWSkgIAGDlyJABg7NixyMrKwtatW5GRkYERI0Zg1KhROHr0KADg9OnTMBgM+Pzzz3Hy5El8+OGHWL58Of72t79J+ygsLMSjjz6Kdu3a4fDhw1i8eDHmzZuHL774Qkqzb98+jB49GhMmTMDRo0cxfPhwDB8+HDqdTkqzaNEifPLJJ1i+fDnS09Ph6+uLuLg4lJRwVmMiIiL6H+GEadOmiQ4dOgiDwSCEEMLX11d8/fXXJmkCAwPFihUrLG5j0aJFIjw8XHq/bNkyERAQIEpLS6VlM2bMEB07dpTejxo1SsTHx5tsJzo6WkyaNEkIIYTBYBBarVYsXrxYWp+fny/UarVYs2aN7OMrKCgQAERBQYHszxAREVH9suf+7XBj6bKyMqxatQrjx4+HSlVZ7Nm3b1+sW7cOeXl5MBgMWLt2LUpKSjBgwACL2ykoKEBg4O8zDaelpeGhhx6Cp6entCwuLg5ZWVm4efOmlCY2NtZkO3FxcUhLSwMA5OTkQK/Xm6TRaDSIjo6W0phTWlqKwsJCkxcRERE1XQ4HQps3b0Z+fj7GjRsnLVu/fj3Ky8sRFBQEtVqNSZMm4dtvv0VERITZbZw5cwaffvopJk2aJC3T6/UICQkxSWd8r9frraapur7q58ylMWfBggXQaDTSKywszNopICIiokbO4UAoISEBQ4cORevWraVls2fPRn5+PlJTU3Ho0CFMnz4do0aNQkZGRo3PX758GUOGDMHIkSMxceJER7PhUrNmzUJBQYH0unTpUn1niYiIiGqRQ93nL1y4gNTUVGzatEladvbsWSxZsgQ6nQ5dunQBAPTo0QN79uzB0qVLsXz5cintlStX8Mgjj6Bv374mjaABQKvV4urVqybLjO+1Wq3VNFXXG5eFhoaapImKirJ4XGq1Gmq1WtY5ICIiosbPoRKhxMREBAcHIz4+XlpWVFRUuUE30026u7vDYDBI7y9fvowBAwagd+/eSExMrJE+JiYGu3fvRnl5ubQsJSUFHTt2REBAgJRm586dJp9LSUlBTEwMACA8PBxardYkTWFhIdLT06U0RERERHb3GquoqBBt27YVM2bMMFleVlYmIiIiRP/+/UV6ero4c+aMeP/994VKpRLbt28XQgjx3//+V0RERIhBgwaJ//73vyI3N1d6GeXn54uQkBAxZswYodPpxNq1a4WPj4/4/PPPpTR79+4VzZo1E++//744deqUmDt3rvDw8BAZGRlSmoULFwp/f3+xZcsWceLECTFs2DARHh4uiouLZR8re40RERE1Pvbcv+0OhL7//nsBQGRlZdVY98svv4gRI0aI4OBg4ePjI7p3727SnT4xMVEAMPuq6vjx4+LBBx8UarVatGnTRixcuLDGvtavXy/uvfde4enpKbp06SIFW0YGg0HMnj1bhISECLVaLQYNGmQ2z9YwECIiImp87Ll/q4QQop4Koxq8wsJCaDQaFBQUwM/Pr76zQ0RERDLYc//mpKtERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixbIrEGrfvj1UKlWN15QpUwAAer0eY8aMgVarha+vL3r16oWNGzeabCMvLw/PPfcc/Pz84O/vjwkTJuC3334zSXPixAn0798fXl5eCAsLw6JFi2rkZcOGDejUqRO8vLzQrVs3JCUlmawXQmDOnDkIDQ2Ft7c3YmNjkZ2dbc/hEhERURNnVyB08OBB5ObmSq+UlBQAwMiRIwEAY8eORVZWFrZu3YqMjAyMGDECo0aNwtGjR6VtPPfcczh58iRSUlKwbds27N69Gy+//LK0vrCwEI8++ijatWuHw4cPY/HixZg3bx6++OILKc2+ffswevRoTJgwAUePHsXw4cMxfPhw6HQ6Kc2iRYvwySefYPny5UhPT4evry/i4uJQUlLi2JkiIiKipkc4Ydq0aaJDhw7CYDAIIYTw9fUVX3/9tUmawMBAsWLFCiGEEJmZmQKAOHjwoLR+x44dQqVSicuXLwshhFi2bJkICAgQpaWlUpoZM2aIjh07Su9HjRol4uPjTfYTHR0tJk2aJIQQwmAwCK1WKxYvXiytz8/PF2q1WqxZs0b28RUUFAgAoqCgQPZniIiIqH7Zc/92uI1QWVkZVq1ahfHjx0OlUgEA+vbti3Xr1iEvLw8GgwFr165FSUkJBgwYAABIS0uDv78/7rvvPmk7sbGxcHNzQ3p6upTmoYcegqenp5QmLi4OWVlZuHnzppQmNjbWJD9xcXFIS0sDAOTk5ECv15uk0Wg0iI6OltKYU1paisLCQpMXERERNV0OB0KbN29Gfn4+xo0bJy1bv349ysvLERQUBLVajUmTJuHbb79FREQEgMo2RMHBwSbbadasGQIDA6HX66U0ISEhJmmM722lqbq+6ufMpTFnwYIF0Gg00issLEzWuSAiIqLGyeFAKCEhAUOHDkXr1q2lZbNnz0Z+fj5SU1Nx6NAhTJ8+HaNGjUJGRoZLMlvbZs2ahYKCAul16dKl+s4SERER1aJmjnzowoULSE1NxaZNm6RlZ8+exZIlS6DT6dClSxcAQI8ePbBnzx4sXboUy5cvh1arxbVr10y2defOHeTl5UGr1QIAtFotrl69apLG+N5WmqrrjctCQ0NN0kRFRVk8LrVaDbVaLfs8EBERUePmUIlQYmIigoODER8fLy0rKiqq3KCb6Sbd3d1hMBgAADExMcjPz8fhw4el9bt27YLBYEB0dLSUZvfu3SgvL5fSpKSkoGPHjggICJDS7Ny502Q/KSkpiImJAQCEh4dDq9WapCksLER6erqUhoiIiMjuXmMVFRWibdu2YsaMGSbLy8rKREREhOjfv79IT08XZ86cEe+//75QqVRi+/btUrohQ4aInj17ivT0dPHzzz+Le+65R4wePVpan5+fL0JCQsSYMWOETqcTa9euFT4+PuLzzz+X0uzdu1c0a9ZMvP/+++LUqVNi7ty5wsPDQ2RkZEhpFi5cKPz9/cWWLVvEiRMnxLBhw0R4eLgoLi6WfazsNUZERNT42HP/tjsQ+v777wUAkZWVVWPdL7/8IkaMGCGCg4OFj4+P6N69e43u9Ddu3BCjR48WzZs3F35+fuLFF18Ut27dMklz/Phx8eCDDwq1Wi3atGkjFi5cWGNf69evF/fee6/w9PQUXbp0MQm2hKjsQj979mwREhIi1Gq1GDRokNk8W8NAiIiIqPGx5/6tEkKIei2SasAKCwuh0WhQUFAAPz+/+s4OERERyWDP/ZtzjREREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWpW3xkgoqahwiBwICcP126VILiFFx4ID4S7m6q+s0VEZBUDISJyWrIuF/O/y0RuQYm0LFTjhblPRGJI19B6zBkRkXWsGiMipyTrcvHKqiMmQRAA6AtK8MqqI0jW5dZTzoiIbGMgREQOqzAIzP8uE8LMOuOy+d9losJgLgURUf1jIEREDjuQk1ejJKgqASC3oAQHcvLqLlNERHZgGyEiskvVRtHZV3+T9ZlrtywHS0RE9YmBEBHJZq5RtBzBLbxqKUdERM5hIEREsiSdyMWfVh+x6zMqAFpNZVd6IqKGiIEQEdmUdOIKpq45atdnjCMIzX0ikuMJEVGDxUCIiKxK1uXiT6vtC4KAypIgjiNERA2dXb3G2rdvD5VKVeM1ZcoUnD9/3uw6lUqFDRs2SNs4ePAgBg0aBH9/fwQEBCAuLg7Hjx832c+JEyfQv39/eHl5ISwsDIsWLaqRlw0bNqBTp07w8vJCt27dkJSUZLJeCIE5c+YgNDQU3t7eiI2NRXZ2tj2HS6R4xu7xck19pAM+fiYKayb2wc8zBjIIIqIGz65A6ODBg8jNzZVeKSkpAICRI0ciLCzMZF1ubi7mz5+P5s2bY+jQoQCA3377DUOGDEHbtm2Rnp6On3/+GS1atEBcXBzKy8sBAIWFhXj00UfRrl07HD58GIsXL8a8efPwxRdfSPnYt28fRo8ejQkTJuDo0aMYPnw4hg8fDp1OJ6VZtGgRPvnkEyxfvhzp6enw9fVFXFwcSkrYe4VILlvd46vrF9EKw6LaIKZDEKvDiKhRUAkhHB7p7NVXX8W2bduQnZ0NlarmRa9nz57o1asXEhISAACHDh3C/fffj4sXLyIsLAwAkJGRge7duyM7OxsRERH47LPP8NZbb0Gv18PT0xMAMHPmTGzevBmnT58GADz99NO4ffs2tm3bJu2rT58+iIqKwvLlyyGEQOvWrfH666/jr3/9KwCgoKAAISEhWLlyJZ555hlZx1dYWAiNRoOCggL4+fk5epqIGh1jF/kdulx8nXZB1mdCNV74ecZABkBEVO/suX87PKBiWVkZVq1ahfHjx5sNgg4fPoxjx45hwoQJ0rKOHTsiKCgICQkJKCsrQ3FxMRISEtC5c2e0b98eAJCWloaHHnpICoIAIC4uDllZWbh586aUJjY21mR/cXFxSEtLAwDk5ORAr9ebpNFoNIiOjpbSmFNaWorCwkKTF5HSJOty8eA/d2H0iv2ygyCAjaKJqHFyOBDavHkz8vPzMW7cOLPrjQFO3759pWUtWrTATz/9hFWrVsHb2xvNmzdHcnIyduzYgWbNKttt6/V6hISEmGzL+F6v11tNU3V91c+ZS2POggULoNFopJex1IpIKSzNG2aNmwpY9mwvtgciokbJ4UAoISEBQ4cORevWrWusKy4uxurVq01Kg4zLJ0yYgH79+mH//v3Yu3cvunbtivj4eBQXFzuaFZeZNWsWCgoKpNelS5fqO0tEdcbavGHWLBndE491ZxBERI2TQ93nL1y4gNTUVGzatMns+m+++QZFRUUYO3asyfLVq1fj/PnzSEtLg5ubm7QsICAAW7ZswTPPPAOtVourV6+afM74XqvVSv+aS1N1vXFZaGioSZqoqCiLx6VWq6FWq20dPlGTZG/D6FB2jyeiJsChEqHExEQEBwcjPj7e7PqEhAQ8+eSTaNWqlcnyoqIiuLm5mbQpMr43GAwAgJiYGOzevVvqRQYAKSkp6NixIwICAqQ0O3fuNNl2SkoKYmJiAADh4eHQarUmaQoLC5Geni6lISJTcucDGxvTjt3jiajJsDsQMhgMSExMxAsvvCC166nqzJkz2L17N1566aUa6wYPHoybN29iypQpOHXqFE6ePIkXX3wRzZo1wyOPPAIAePbZZ+Hp6YkJEybg5MmTWLduHT7++GNMnz5d2s60adOQnJyMDz74AKdPn8a8efNw6NAhTJ06FQCgUqnw6quv4h//+Ae2bt2KjIwMjB07Fq1bt8bw4cPtPWQiRZA7H9jQrqHsHk9ETYbdgVBqaiouXryI8ePHm13/r3/9C3fddRceffTRGus6deqE7777DidOnEBMTAz69++PK1euIDk5WarC0mg0+OGHH5CTk4PevXvj9ddfx5w5c/Dyyy9L2+nbty9Wr16NL774Aj169MA333yDzZs3o2vXrlKaN998E3/+85/x8ssv4/7778dvv/2G5ORkeHlx8kcicx4ID0SoxguWwhsVKqvDOG8YETUlTo0j1NRxHCFqaozjA127VYLgFpVBTdWSHWOvMQAmjaaNKT57nr3DiKjhs+f+zbnGiBQiWZeL+d9lmjSIrt7geUjXUHz2fK8a6ThvGBE1VSwRsoIlQtRUGEt6qv/YLZX02Co5IiJqyFgiREQSa+MDCVQGQ/O/y8TgSK0U7Li7qRDTIagus0lEVC8cHlCRiBoHW+MDCQC5BSU4kJNXd5kiImogGAgRNXFyxweSm46IqClhIETUxMkdH0huOiKipoSBEFETx/GBiIgsYyBE1MS5u6kw94lIAKgRDBnfz30ikr3CiEiRGAgRKYBxfCCtxrT6S6vx4iCJRKRo7D5PpBBDuoZicKSW4wMREVXBQIhIQTg+EBGRKQZCRI0QR34mInINBkJEjYycOcOIiEgeNpYmakSMc4ZVHylaX1CCV1YdQbIut55yRkTUODEQImokyu4Y8LdvMyzOGQZUzhlWYeA8ykREcjEQImoEknW56LNgJ/Jul1tMwznDiIjsxzZCRA2csTpMbjkP5wwjIpKPJUJEDViFQWD+d5mygyCAc4YREdmDJUJEDdiBnLwaDaMtUaFypGjOGUZEJB9LhIgaMHuruThnGBGRfRgIETVgcqu5An09OGcYEZEDWDVG1IA9EB6IUI0X9AUlFtsJBfl6Im3WIHg243MNEZG9eOUkasDc3VSY+0QkgMo2QFWp/vd696muDIKIiBzEqydRAzekayg+e74XtBrTajKtxovVYURETmLVGFEjMKRrKAZHajnRKhGRizEQImok3N1UiOkQVN/ZICJqUlg1RkRERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUy65AqH379lCpVDVeU6ZMwfnz582uU6lU2LBhg8l2Vq5cie7du8PLywvBwcGYMmWKyfoTJ06gf//+8PLyQlhYGBYtWlQjLxs2bECnTp3g5eWFbt26ISkpyWS9EAJz5sxBaGgovL29ERsbi+zsbHsOl4iIiJo4uwKhgwcPIjc3V3qlpKQAAEaOHImwsDCTdbm5uZg/fz6aN2+OoUOHStv4v//7P7z11luYOXMmTp48idTUVMTFxUnrCwsL8eijj6Jdu3Y4fPgwFi9ejHnz5uGLL76Q0uzbtw+jR4/GhAkTcPToUQwfPhzDhw+HTqeT0ixatAiffPIJli9fjvT0dPj6+iIuLg4lJSUOnyxShgqDQNrZG9hy7DLSzt5AhUHUd5aIiKiWqIQQDl/lX331VWzbtg3Z2dlQqVQ11vfs2RO9evVCQkICAODmzZto06YNvvvuOwwaNMjsNj/77DO89dZb0Ov18PT0BADMnDkTmzdvxunTpwEATz/9NG7fvo1t27ZJn+vTpw+ioqKwfPlyCCHQunVrvP766/jrX/8KACgoKEBISAhWrlyJZ555RtbxFRYWQqPRoKCgAH5+fvJPDDVaybpczP8uE7kFvwfMoRovzH0iEkO6htZjzoiISC577t8OtxEqKyvDqlWrMH78eLNB0OHDh3Hs2DFMmDBBWpaSkgKDwYDLly+jc+fOuOuuuzBq1ChcunRJSpOWloaHHnpICoIAIC4uDllZWbh586aUJjY21mR/cXFxSEtLAwDk5ORAr9ebpNFoNIiOjpbSmFNaWorCwkKTFylHsi4Xr6w6YhIEAYC+oASvrDqCZF1uPeWMiIhqi8OB0ObNm5Gfn49x48aZXZ+QkIDOnTujb9++0rJz587BYDDgvffew0cffYRvvvkGeXl5GDx4MMrKygAAer0eISEhJtsyvtfr9VbTVF1f9XPm0pizYMECaDQa6RUWFmbrNFATUWEQmP9dJswVjxqXzf8uk9VkRERNjMOBUEJCAoYOHYrWrVvXWFdcXIzVq1eblAYBgMFgQHl5OT755BPExcWhT58+WLNmDbKzs/Hjjz86mhWXmTVrFgoKCqRX1ZIqatoO5OTVKAmqSgDILSjBgZy8ussUERHVumaOfOjChQtITU3Fpk2bzK7/5ptvUFRUhLFjx5osDw2tbGMRGRkpLWvVqhVatmyJixcvAgC0Wi2uXr1q8jnje61WazVN1fXGZcZ9Gt9HRUVZPC61Wg21Wm1xPTVd127Ja0QvNx0RETUODpUIJSYmIjg4GPHx8WbXJyQk4Mknn0SrVq1Mlvfr1w8AkJWVJS3Ly8vD9evX0a5dOwBATEwMdu/ejfLycilNSkoKOnbsiICAACnNzp07TbadkpKCmJgYAEB4eDi0Wq1JmsLCQqSnp0tpiKoKbuHl0nRERNQ42B0IGQwGJCYm4oUXXkCzZjULlM6cOYPdu3fjpZdeqrHu3nvvxbBhwzBt2jTs27cPOp0OL7zwAjp16oRHHnkEAPDss8/C09MTEyZMwMmTJ7Fu3Tp8/PHHmD59urSdadOmITk5GR988AFOnz6NefPm4dChQ5g6dSoAQKVS4dVXX8U//vEPbN26FRkZGRg7dixat26N4cOH23vIpAAPhAciVOOFms3+K6lQ2XvsgfDAuswWERHVMrsDodTUVFy8eBHjx483u/5f//oX7rrrLjz66KNm13/99deIjo5GfHw8Hn74YXh4eCA5ORkeHh4AKnt3/fDDD8jJyUHv3r3x+uuvY86cOXj55ZelbfTt2xerV6/GF198gR49euCbb77B5s2b0bVrVynNm2++iT//+c94+eWXcf/99+O3335DcnIyvLz4RE81ubupMPeJyirb6sGQ8f3cJyLh7mYpVCIiosbIqXGEmjqOI6Q8HEeIiKjxs+f+7VBjaaKmakjXUAyO1OJATh6u3SpBcIvK6jCWBBERNU0MhIiqcXdTIaZDUH1ng4iI6gBnnyciIiLFYiBEREREisVAiIiIiBSLgRAREREpFgMhIiIiUiwGQkRERKRYDISIiIhIsRgIERERkWIxECIiIiLF4sjSVhinYSssLKznnBAREZFcxvu2nOlUGQhZcevWLQBAWFhYPeeEiIiI7HXr1i1oNBqraTj7vBUGgwFZWVmIjIzEpUuXFDkDfWFhIcLCwhR7/ADPAcBzoPTjB3gOAJ4DoPGcAyEEbt26hdatW8PNzXorIJYIWeHm5oY2bdoAAPz8/Br0H722Kf34AZ4DgOdA6ccP8BwAPAdA4zgHtkqCjNhYmoiIiBSLgRAREREpFgMhG9RqNebOnQu1Wl3fWakXSj9+gOcA4DlQ+vEDPAcAzwHQNM8BG0sTERGRYrFEiIiIiBSLgRAREREpFgMhIiIiUiwGQkRERKRYjT4Qat++PVQqVY3XlClTcP78ebPrVCoVNmzYAAA4fvw4Ro8ejbCwMHh7e6Nz5874+OOPa+znp59+Qq9evaBWqxEREYGVK1fWSLN06VK0b98eXl5eiI6OxoEDB0zWl5SUYMqUKQgKCkLz5s3xhz/8AVevXq3X46/qxo0buOuuu6BSqZCfn98ojt+V52DlypXo3r07vLy8EBwcjClTppisP3HiBPr37w8vLy+EhYVh0aJFNfKyYcMGdOrUCV5eXujWrRuSkpJM1gshMGfOHISGhsLb2xuxsbHIzs5uEOfg4MGDGDRoEPz9/REQEIC4uDgcP368UZwDa8cPAHq9HmPGjIFWq4Wvry969eqFjRs3mmwjLy8Pzz33HPz8/ODv748JEybgt99+axTH74pzcP78eUyYMAHh4eHw9vZGhw4dMHfuXJSVlSnmHFRVWlqKqKgoqFQqHDt2rFGcA1cd//bt2xEdHQ1vb28EBARg+PDhJusvXryI+Ph4+Pj4IDg4GG+88Qbu3LljksYV94w6Ixq5a9euidzcXOmVkpIiAIgff/xR3Llzx2Rdbm6umD9/vmjevLm4deuWEEKIhIQE8Ze//EX89NNP4uzZs+Lf//638Pb2Fp9++qm0j3PnzgkfHx8xffp0kZmZKT799FPh7u4ukpOTpTRr164Vnp6e4l//+pc4efKkmDhxovD39xdXr16V0kyePFmEhYWJnTt3ikOHDok+ffqIvn371uvxVzVs2DAxdOhQAUDcvHmzURy/q87BBx98IFq3bi3+85//iDNnzojjx4+LLVu2SOsLCgpESEiIeO6554ROpxNr1qwR3t7e4vPPP5fS7N27V7i7u4tFixaJzMxM8fbbbwsPDw+RkZEhpVm4cKHQaDRi8+bN4vjx4+LJJ58U4eHhori4uF7Pwa1bt0RgYKAYN26cOH36tNDpdOIPf/iDCAkJEWVlZQ3+HFg7fiGEGDx4sLj//vtFenq6OHv2rHjnnXeEm5ubOHLkiLSNIUOGiB49eoj9+/eLPXv2iIiICDF69GhpfUM+flecgx07dohx48aJ77//Xpw9e1Zs2bJFBAcHi9dff10x56Cqv/zlL9L18OjRo43iHLji+L/55hsREBAgPvvsM5GVlSVOnjwp1q1bJ62/c+eO6Nq1q4iNjRVHjx4VSUlJomXLlmLWrFlSGlfdM+pKow+Eqps2bZro0KGDMBgMZtdHRUWJ8ePHW93Gn/70J/HII49I7998803RpUsXkzRPP/20iIuLk94/8MADYsqUKdL7iooK0bp1a7FgwQIhhBD5+fnCw8NDbNiwQUpz6tQpAUCkpaXJP0AbHD3+ZcuWiYcffljs3LmzRiDUmI5fCPvPQV5envD29hapqakWt7ls2TIREBAgSktLpWUzZswQHTt2lN6PGjVKxMfHm3wuOjpaTJo0SQghhMFgEFqtVixevFhan5+fL9RqtVizZo19B2mDvefg4MGDAoC4ePGitOzEiRMCgMjOzhZCNK5zUP34fX19xddff22SJjAwUKxYsUIIIURmZqYAIA4ePCit37Fjh1CpVOLy5ctCiMZ1/ELYfw7MWbRokQgPD5feK+UcJCUliU6dOomTJ0/WCIQa0zmw9/jLy8tFmzZtxJdffmlxm0lJScLNzU3o9Xpp2WeffSb8/Pykc+KKe0ZdavRVY1WVlZVh1apVGD9+PFQqVY31hw8fxrFjxzBhwgSr2ykoKEBgYKD0Pi0tDbGxsSZp4uLikJaWJu338OHDJmnc3NwQGxsrpTl8+DDKy8tN0nTq1Alt27aV0jjL0ePPzMzE3//+d3z99ddmJ6drLMdvzIu95yAlJQUGgwGXL19G586dcdddd2HUqFG4dOmSlCYtLQ0PPfQQPD09Tc5BVlYWbt68KaWxdp5ycnKg1+tN0mg0GkRHR9f7OejYsSOCgoKQkJCAsrIyFBcXIyEhAZ07d0b79u0b1Tkwd/x9+/bFunXrkJeXB4PBgLVr16KkpAQDBgyQ8u3v74/77rtP2k5sbCzc3NyQnp7eqI7f0XNgjrlrYVM/B1evXsXEiRPx73//Gz4+PjW221jOgSPHf+TIEVy+fBlubm7o2bMnQkNDMXToUOh0OpPj79atG0JCQkyOrbCwECdPnpR1/HLuGXWpSQVCmzdvRn5+PsaNG2d2vfHC3rdvX4vb2LdvH9atW4eXX35ZWqbX603+6AAQEhKCwsJCFBcX4/r166ioqDCbRq/XS9vw9PSEv7+/xTTOcuT4S0tLMXr0aCxevBht27Y1+7nGcvyAY+fg3LlzMBgMeO+99/DRRx/hm2++QV5eHgYPHiy1j7B0DozrrKWpur7q58ylcQVHzkGLFi3w008/YdWqVfD29kbz5s2RnJyMHTt2oFmzZlL+G8M5MHf869evR3l5OYKCgqBWqzFp0iR8++23iIiIkPIVHBxssp1mzZohMDDQ5rFVPa6GcPyAY+egujNnzuDTTz/FpEmTpGVN/RwIITBu3DhMnjzZJCiuqrGcA0eO/9y5cwCAefPm4e2338a2bdsQEBCAAQMGIC8vz+qxVT0uV9wz6lKTCoQSEhIwdOhQtG7dusa64uJirF692mppkE6nw7BhwzB37lw8+uijtZnVWuHI8c+aNQudO3fG888/X1fZrFWOnAODwYDy8nJ88skniIuLQ58+fbBmzRpkZ2fjxx9/rKusu4wj56C4uBgTJkxAv379sH//fuzduxddu3ZFfHw8iouL6yrrLmHu+GfPno38/Hykpqbi0KFDmD59OkaNGoWMjIx6zGntcfYcXL58GUOGDMHIkSMxceLEusy6yzhyDj799FPcunULs2bNqq9su4wjx28wGAAAb731Fv7whz+gd+/eSExMtNjBpqloVt8ZcJULFy4gNTUVmzZtMrv+m2++QVFREcaOHWt2fWZmJgYNGoSXX34Zb7/9tsk6rVZbo3fT1atX4efnB29vb7i7u8Pd3d1sGq1WK22jrKwM+fn5JqUiVdM4w9Hj37VrFzIyMvDNN98AqHwiAoCWLVvirbfewvz58xvF8QOOn4PQ0FAAQGRkpLSsVatWaNmyJS5evCjl39zxGddZS1N1vXGZcZ/G91FRUXYdqyWOnoPVq1fj/PnzSEtLk6pHV69ejYCAAGzZsgXPPPNMozgH5o7/7NmzWLJkCXQ6Hbp06QIA6NGjB/bs2YOlS5di+fLl0Gq1uHbtmsm27ty5g7y8PJvHVvW46vv4AcfPgdGVK1fwyCOPoG/fvvjiiy9Mtt3Uz8GuXbuQlpZWYx6t++67D8899xy++uqrRnEOHD1+c9dCtVqNu+++2+RaWL13l9zjt+eeUZeaTIlQYmIigoODER8fb3Z9QkICnnzySbRq1arGupMnT+KRRx7BCy+8gHfffbfG+piYGOzcudNkWUpKCmJiYgAAnp6e6N27t0kag8GAnTt3Sml69+4NDw8PkzRZWVm4ePGilMYZjh7/xo0bcfz4cRw7dgzHjh3Dl19+CQDYs2eP1OWyMRw/4Pg56Nevn5Qfo7y8PFy/fh3t2rUDUHkOdu/ejfLycilNSkoKOnbsiICAACmNtfMUHh4OrVZrkqawsBDp6en1fg6Kiorg5uZm0qbI+N74lNgYzoG54y8qKpKOpyp3d3eTY8vPz8fhw4el9bt27YLBYEB0dHSjOX7A8XMAVJYEDRgwQCoJqJ6+qZ+DTz75xOR6aOzyvm7dOune0BjOgaPH37t3b6jVapNrYXl5Oc6fP29yLczIyDB5cEhJSYGfn58UQLninlGn6rx5di2oqKgQbdu2FTNmzDC7Pjs7W6hUKrFjx44a6zIyMkSrVq3E888/b9Lt8Nq1a1IaY1fAN954Q5w6dUosXbrUbFdAtVotVq5cKTIzM8XLL78s/P39TVrWT548WbRt21bs2rVLHDp0SMTExIiYmJh6Pf7qfvzxR4vd5xvq8Qvh/DkYNmyY6NKli9i7d6/IyMgQjz/+uIiMjJS6jufn54uQkBAxZswYodPpxNq1a4WPj0+NLrPNmjUT77//vjh16pSYO3eu2S6z/v7+YsuWLeLEiRNi2LBhLuk27Ow5OHXqlFCr1eKVV14RmZmZQqfTieeff15oNBpx5cqVRnEOLB1/WVmZiIiIEP379xfp6enizJkz4v333xcqlUps375dSjdkyBDRs2dPkZ6eLn7++Wdxzz33mHSfb+jH7+w5+O9//ysiIiLEoEGDxH//+1+T66FSzkF1OTk5NXqNNfRz4OzxT5s2TbRp00Z8//334vTp02LChAkiODhY5OXlCSF+7z7/6KOPimPHjonk5GTRqlUrs93nnb1n1JUmEQh9//33AoDIysoyu37WrFkiLCxMVFRU1Fg3d+5cAaDGq127dibpfvzxRxEVFSU8PT3F3XffLRITE2ts69NPPxVt27YVnp6e4oEHHhD79+83WV9cXCz+9Kc/iYCAAOHj4yOeeuopk4uMo5w5/urMBULG5Q31+IVw/hwUFBSI8ePHC39/fxEYGCieeuopk67kQghx/Phx8eCDDwq1Wi3atGkjFi5cWGM769evF/fee6/w9PQUXbp0qXGBNRgMYvbs2SIkJESo1WoxaNAgi3m2l7Pn4IcffhD9+vUTGo1GBAQEiIEDB9YY2qAhnwNrx//LL7+IESNGiODgYOHj4yO6d+9eoxvxjRs3xOjRo0Xz5s2Fn5+fePHFF2uMt9WQj18I585BYmKi2Wth9eflpnwOqjMXCAnRsM+Bs8dfVlYmXn/9dREcHCxatGghYmNjhU6nM0lz/vx5MXToUOHt7S1atmwpXn/9dVFeXm6SxhX3jLqiEuJ/jUKIiIiIFKbJtBEiIiIishcDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLH+Px0Yj5tNVrngAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED - here, we've not yet adopted avoidedEnclave but we now disallow picking up VRA coreUs\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.995 * aDP, 1.005 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) ) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%40 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits) \n",
    "            #       not sure if avoidedEnclave(HDunitList[t], unitNbrs, [unitNoToAdd]) is robust\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "id": "ce65a387-d980-4a97-a89d-787f1819fbc6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 755 overPopped HDs to within 1520\n",
      "working on squaring down HD 7 time is now 0\n",
      "working on squaring down HD 608 time is now 2\n",
      "working on squaring down HD 916 time is now 5\n",
      "working on squaring down HD 1024 time is now 9\n",
      "working on squaring down HD 1923 time is now 11\n",
      "working on squaring down HD 2959 time is now 13\n",
      "working on squaring down HD 3069 time is now 15\n",
      "working on squaring down HD 3174 time is now 18\n",
      "working on squaring down HD 3635 time is now 20\n",
      "working on squaring down HD 4666 time is now 23\n",
      "working on squaring down HD 5832 time is now 26\n",
      "working on squaring down HD 6720 time is now 29\n",
      "working on squaring down HD 8465 time is now 32\n",
      "We have addressed overpop in a total of 755 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #the barred set is dynamic; we stop shedding upon underuse. \n",
    "#   but not yet using avoidedIsland timesaver,  \n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                #contig = avoidedIsland(tryList, unitNbrs, [unitNoToShed] )  #new for MO - faster contig check\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                #if contig:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "id": "09451776-65aa-4669-b0f9-f5dc9b460e37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00115 1.00147 and their SDs are 0.15581 0.03931\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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t2qW1a9cqMTFRffv21YMPPqhp06Zp5syZioqK0vz589WpUyc9+uijkqTu3bvr/fff1+OPP660tLTa9ggAABqYszoHpri4WJIUHx8fsHzRokVq3bq1evbsqaysLJ08edJal5OTo169eikxMdFalpaWJr/fr507d1pjUlNTA7aZlpamnJycM9ZSVlYmv98fMAEAgIapzveBqa6u1p133qmLL75YPXv2tJbfeOON6tChg5KSkrRt2zZNmzZN+fn5ev311yVJPp8vILxIsl77fL4fHeP3+1VSUqKYmJjT6pk1a5buv//+urYDAABspM4BJiMjQzt27ND7778fsPzWW2+15nv16qW2bdtq6NCh2rdvn84999y6V/oTsrKylJmZab32+/1KTk4O2ecBAIDwqVOAuf3227V8+XJt3LhR7dq1+9GxAwYMkCTt3btX5557rjwej7Zs2RIwprCwUJKs82Y8Ho+17PtjXC5XjXtfJMnpdMrp5LbVABBOJcapfjsXWfNAqNTqHBhjjG6//Xa98cYbWr9+vTp16vST78nLy5MktW3bVpLk9Xq1fft2HTlyxBqTnZ0tl8ullJQUa8y6desCtpOdnS2v11ubcgEAvziHjla5dbTKLckR7mLQgNUqwGRkZOhvf/ubFi9erBYtWsjn88nn86mkpESStG/fPj344IPKzc3VgQMH9Pe//13jxo3T4MGD1bt3b0nSsGHDlJKSorFjx2rr1q1avXq1pk+froyMDGsPyuTJk/XFF1/onnvu0WeffaZnn31Wy5Yt05QpU4LcPgAAsKNaBZh58+apuLhYQ4YMUdu2ba1p6dKlkqSoqCitXbtWw4YNU7du3XTXXXdp1KhRevvtt61tREZGavny5YqMjJTX69Xvfvc7jRs3Tg888IA1plOnTlqxYoWys7PVp08fPfroo3r++ee5hBoA6rkoR4UeSJqnB5Lm8SgBhJTDGGPCXUQo+P1+ud1uFRcXy+VyhbscALCljveuqNX4GEepdve6TpLUfftrYXky9YHZ6b/4ZyJ4fu7vN89CAgAAtkOAAQAAtkOAAQAAtkOAAQAAtkOAAQAAtkOAAQAAtlPnZyEBAPBDpSZKg3a/YM0DoUKAAQAEjVGEvqxIDHcZaAQ4hAQAAGyHPTAAgKBp6qjQ3Z6/SpIe8Y1VhWka5orQULEHBgAQNE1Upd+3eV2/b/O6mqgq3OWgASPAAAAA2yHAAAAA2yHAAAAA2yHAAAAA2yHAAAAA2yHAAAAA2+E+MACAoCk1Ubo8f641D4QKAQYAEDRGEdpT1iHcZaAR4BASAACwHfbAAACCpqmjQhkJyyRJc49cz6MEEDIEGABA0DRRle5MfEWS9Jcjo1QhAgxCg0NIAADAdggwAADAdggwAADAdggwAADAdggwAADAdggwAADAdriMGgAQNGWmqa7e85g1D4QKAQYAEDTVitS2kvPDXQYaAQ4hAQAA22EPDAAgaJo6KnRz679Lkl785moeJYCQIcAAAIKmiar0H21flCT99Zt0HiWAkOEQEgAAsB0CDAAAsB0OIQEAGpSO964Idwm1dmB2erhLsB32wAAAANshwAAAANupVYCZNWuWLrroIrVo0UIJCQm65pprlJ+fHzCmtLRUGRkZatWqlZo3b65Ro0apsLAwYExBQYHS09MVGxurhIQETZ06VZWVlQFjNmzYoH79+snpdKpLly5auHBh3ToEAAANTq0CzLvvvquMjAxt2rRJ2dnZqqio0LBhw3TixAlrzJQpU/T222/r1Vdf1bvvvqtDhw7p2muvtdZXVVUpPT1d5eXl+vDDD/XSSy9p4cKFmjFjhjVm//79Sk9P16WXXqq8vDzdeeeduuWWW7R69eogtAwACJUy01Sj9z2k0fse4lECCCmHMcbU9c1ff/21EhIS9O6772rw4MEqLi5WmzZttHjxYl133XWSpM8++0zdu3dXTk6OBg4cqJUrV+rKK6/UoUOHlJiYKEmaP3++pk2bpq+//lpRUVGaNm2aVqxYoR07dlifNXr0aBUVFWnVqlU/qza/3y+3263i4mK5XK66tggAjZodT4i1I07i/Zef+/t9VufAFBcXS5Li4+MlSbm5uaqoqFBqaqo1plu3bmrfvr1ycnIkSTk5OerVq5cVXiQpLS1Nfr9fO3futMZ8fxunxpzaRk3Kysrk9/sDJgAA0DDVOcBUV1frzjvv1MUXX6yePXtKknw+n6KiohQXFxcwNjExUT6fzxrz/fByav2pdT82xu/3q6SkpMZ6Zs2aJbfbbU3Jycl1bQ0AUEdNVKmxrZZrbKvlaqLKn34DUEd1DjAZGRnasWOHlixZEsx66iwrK0vFxcXWdPDgwXCXBACNTlNHpR48Z74ePGe+mjoIMAidOt3I7vbbb9fy5cu1ceNGtWvXzlru8XhUXl6uoqKigL0whYWF8ng81pgtW7YEbO/UVUrfH/PDK5cKCwvlcrkUExNTY01Op1NOp7Mu7QAAAJupVYAxxuiOO+7QG2+8oQ0bNqhTp04B6/v376+mTZtq3bp1GjVqlCQpPz9fBQUF8nq9kiSv16s///nPOnLkiBISEiRJ2dnZcrlcSklJsca88847AdvOzs62tgEAdsQJsUDw1CrAZGRkaPHixXrrrbfUokUL65wVt9utmJgYud1uTZw4UZmZmYqPj5fL5dIdd9whr9ergQMHSpKGDRumlJQUjR07VnPmzJHP59P06dOVkZFh7UGZPHmynnnmGd1zzz2aMGGC1q9fr2XLlmnFCv7xAwCAWp4DM2/ePBUXF2vIkCFq27atNS1dutQa8/jjj+vKK6/UqFGjNHjwYHk8Hr3++uvW+sjISC1fvlyRkZHyer363e9+p3HjxumBBx6wxnTq1EkrVqxQdna2+vTpo0cffVTPP/+80tLSgtAyAACwu7O6D0x9xn1gANQ3jeEQUoyjVLt7/fM+YN23v6YSEx3miuyB+8D8yy9yHxgAAIBwqNNVSAAA1KTcNNXN+++z5oFQIcAAAIKmSpH6x7GLwl0GGgEOIQEAANthDwwAIGiaqFLXtNwgSXrzuyGq5GcGIcLfLABA0DR1VOqR5CckSSuKBqnS8DOD0OAQEgAAsB0CDAAAsB0CDAAAsB0CDAAAsB0CDAAAsB0CDAAAsB2ubwMABE25aao//O+91jwQKgQYAEDQVClS7xQPCncZaAQ4hAQAAGyHPTAAgKCJVJXS3DmSpNXFXlUpMswVoaEiwAAAgibKUaFnO8yWJHXf/ppKDAEGocEhJAAAYDsEGAAAYDsEGAAAYDsEGAAAYDsEGAAAYDsEGAAAYDtcRg0ACJoK00R3H7zTmgdChb9dAICgqVQTvfZdarjLQCPAISQAAGA77IEBAARNpKo0uMUnkqSNx/rxKAGEDAEGABA0UY4Kvdjpfkk8SgChxSEkAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgO1xGDQAImgrTRH/6arI1D4QKf7sAAEFTqSb667dXhrsMNAIcQgIAALbDHhgAQNBEqEq/arZTkrTlRA9V8ygBhEit98Bs3LhRV111lZKSkuRwOPTmm28GrL/pppvkcDgCpuHDhweMOXr0qMaMGSOXy6W4uDhNnDhRx48fDxizbds2XXLJJYqOjlZycrLmzJlT++4AAL8op6NCS879Dy059z/kdFSEuxw0YLUOMCdOnFCfPn00d+7cM44ZPny4Dh8+bE2vvPJKwPoxY8Zo586dys7O1vLly7Vx40bdeuut1nq/369hw4apQ4cOys3N1cMPP6yZM2fqueeeq225AACgAar1IaQRI0ZoxIgRPzrG6XTK4/HUuG737t1atWqVPvroI1144YWSpKefflpXXHGFHnnkESUlJWnRokUqLy/XggULFBUVpR49eigvL0+PPfZYQNABAACNU0hO4t2wYYMSEhLUtWtX3Xbbbfr222+tdTk5OYqLi7PCiySlpqYqIiJCmzdvtsYMHjxYUVFR1pi0tDTl5+fru+++q/Ezy8rK5Pf7AyYAANAwBT3ADB8+XC+//LLWrVun//qv/9K7776rESNGqKqqSpLk8/mUkJAQ8J4mTZooPj5ePp/PGpOYmBgw5tTrU2N+aNasWXK73daUnJwc7NYAAEA9EfSrkEaPHm3N9+rVS71799a5556rDRs2aOjQocH+OEtWVpYyMzOt136/nxADAEADFfL7wHTu3FmtW7fW3r17JUkej0dHjhwJGFNZWamjR49a5814PB4VFhYGjDn1+kzn1jidTrlcroAJAAA0TCEPMF9++aW+/fZbtW3bVpLk9XpVVFSk3Nxca8z69etVXV2tAQMGWGM2btyoiop/XYKXnZ2trl27qmXLlqEuGQBQR5WK1EOHb9ZDh29WJfeAQQjVOsAcP35ceXl5ysvLkyTt379feXl5Kigo0PHjxzV16lRt2rRJBw4c0Lp16zRy5Eh16dJFaWlpkqTu3btr+PDhmjRpkrZs2aIPPvhAt99+u0aPHq2kpCRJ0o033qioqChNnDhRO3fu1NKlS/Xkk08GHCICANQ/Faapnvt6lJ77epQqTNNwl4MGrNYB5uOPP9YFF1ygCy64QJKUmZmpCy64QDNmzFBkZKS2bdumq6++Wueff74mTpyo/v3767333pPT6bS2sWjRInXr1k1Dhw7VFVdcoUGDBgXc48XtdmvNmjXav3+/+vfvr7vuukszZszgEmoAACBJchhjTLiLCAW/3y+3263i4mLOhwFQL3S8d0W4Swi5CFWpZ8w+SdKOknN5lMDPdGB2erhLqDd+7u83z0ICAASN01Ghv5/3z8P93be/phJDgEFo8DRqAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgO1xGDQAImkpF6onCG6x5IFQIMACAoKkwTfVE4Zhwl4FGgENIAADAdtgDAwAIGoeq1cV5UJK0tyxZhv9PRogQYAAAQRPtKFd21wxJpx4lEB3mitBQEY0BAIDtEGAAAIDtEGAAAIDtEGAAAIDtEGAAAIDtEGAAAIDtcBk1ACBoKhWpv3x9rTUPhAoBBgAQNBWmqWYdnhDuMtAIcAgJAADYDntgAABB41C1zmn6tSTpq4o2PEoAIUOAAQAETbSjXO93nyiJRwkgtIjGAADAdggwAADAdggwAADAdggwAADAdggwAADAdggwAADAdriMGgAQNFWK1MvfpFvzQKgQYAAAQVNummrGodvCXQYaAQ4hAQAA22EPDAAgiIziI/2SpKNVLkmO8JaDBosAAwAImhhHmT7pMUYSjxJAaHEICQAA2A4BBgAA2A4BBgAA2A4BBgAA2E6tA8zGjRt11VVXKSkpSQ6HQ2+++WbAemOMZsyYobZt2yomJkapqanas2dPwJijR49qzJgxcrlciouL08SJE3X8+PGAMdu2bdMll1yi6OhoJScna86cObXvDgAANEi1DjAnTpxQnz59NHfu3BrXz5kzR0899ZTmz5+vzZs3q1mzZkpLS1Npaak1ZsyYMdq5c6eys7O1fPlybdy4Ubfeequ13u/3a9iwYerQoYNyc3P18MMPa+bMmXruuefq0CIAAGhoan0Z9YgRIzRixIga1xlj9MQTT2j69OkaOXKkJOnll19WYmKi3nzzTY0ePVq7d+/WqlWr9NFHH+nCCy+UJD399NO64oor9MgjjygpKUmLFi1SeXm5FixYoKioKPXo0UN5eXl67LHHAoIOAKB+qVKkXjs61JoHQiWo58Ds379fPp9Pqamp1jK3260BAwYoJydHkpSTk6O4uDgrvEhSamqqIiIitHnzZmvM4MGDFRUVZY1JS0tTfn6+vvvuuxo/u6ysTH6/P2ACAPyyyk1T3f3lFN395RSVm6bhLgcNWFADjM/nkyQlJiYGLE9MTLTW+Xw+JSQkBKxv0qSJ4uPjA8bUtI3vf8YPzZo1S26325qSk5PPviEAAFAvNZirkLKyslRcXGxNBw8eDHdJANAIGcU4ShXjKJVkwl0MGrCgBhiPxyNJKiwsDFheWFhorfN4PDpy5EjA+srKSh09ejRgTE3b+P5n/JDT6ZTL5QqYAAC/rBhHmXb3uk67e12nGEdZuMtBAxbUANOpUyd5PB6tW7fOWub3+7V582Z5vV5JktfrVVFRkXJzc60x69evV3V1tQYMGGCN2bhxoyoqKqwx2dnZ6tq1q1q2bBnMkgEAgA3VOsAcP35ceXl5ysvLk/TPE3fz8vJUUFAgh8OhO++8U//5n/+pv//979q+fbvGjRunpKQkXXPNNZKk7t27a/jw4Zo0aZK2bNmiDz74QLfffrtGjx6tpKQkSdKNN96oqKgoTZw4UTt37tTSpUv15JNPKjMzM2iNAwAA+6r1ZdQff/yxLr30Uuv1qVAxfvx4LVy4UPfcc49OnDihW2+9VUVFRRo0aJBWrVql6Oh/PZF00aJFuv322zV06FBFRERo1KhReuqpp6z1brdba9asUUZGhvr376/WrVtrxowZXEINAAAkSQ5jTIM8y8rv98vtdqu4uJjzYQDUCx3vXRHuEkIuxlGq3b2ukyR13/6aSkz0T7wDknRgdnq4S6g3fu7vd4O5CgkAADQeBBgAAGA7tT4HBgCAM6lWhFYUXWzNA6FCgAEABE2ZiVJGQVa4y0AjQDwGAAC2Q4ABAAC2Q4ABAARNjKNUB3pfqQO9r/y/5yEBoUGAAQAAtkOAAQAAtkOAAQAAtkOAAQAAtkOAAQAAtkOAAQAAtsOdeAEAQVOtCK33X2jNA6FCgAEABE2ZidKEAzPDXQYaAeIxAACwHQIMAACwHQIMACBoYhyl2tVzlHb1HMWjBBBSnAMDAAiq2IiycJeARoA9MAAAwHYIMAAAwHYIMAAAwHYIMAAAwHYIMAAAwHa4CgkAEDTVcmjT8Z7WPBAqBBgAQNCUGadGfzE73GWgEeAQEgAAsB0CDAAAsB0OIQEAgibGUar3u0+QJA3avUAlJjrMFdlDx3tXhLuEWjswOz2sn0+AAQAEVasm/nCXgEaAQ0gAAMB2CDAAAMB2CDAAAMB2CDAAAMB2CDAAAMB2uAoJABA01XJo68nzrHkgVAgwAICgKTNOjdz7eLjLQCPAISQAAGA7QQ8wM2fOlMPhCJi6detmrS8tLVVGRoZatWql5s2ba9SoUSosLAzYRkFBgdLT0xUbG6uEhARNnTpVlZWVwS4VAADYVEgOIfXo0UNr167914c0+dfHTJkyRStWrNCrr74qt9ut22+/Xddee60++OADSVJVVZXS09Pl8Xj04Ycf6vDhwxo3bpyaNm2qhx56KBTlAgCCJNpRqrVd/yBJSs1/VqU8SgAhEpIA06RJE3k8ntOWFxcX64UXXtDixYt12WWXSZJefPFFde/eXZs2bdLAgQO1Zs0a7dq1S2vXrlViYqL69u2rBx98UNOmTdPMmTMVFRUVipIBAEHgkNQu6og1D4RKSM6B2bNnj5KSktS5c2eNGTNGBQUFkqTc3FxVVFQoNTXVGtutWze1b99eOTk5kqScnBz16tVLiYmJ1pi0tDT5/X7t3LnzjJ9ZVlYmv98fMAEAgIYp6AFmwIABWrhwoVatWqV58+Zp//79uuSSS3Ts2DH5fD5FRUUpLi4u4D2JiYny+XySJJ/PFxBeTq0/te5MZs2aJbfbbU3JycnBbQwAANQbQT+ENGLECGu+d+/eGjBggDp06KBly5YpJiYm2B9nycrKUmZmpvXa7/cTYoAGrOO9K8JdAoAwCvll1HFxcTr//PO1d+9eeTwelZeXq6ioKGBMYWGhdc6Mx+M57aqkU69rOq/mFKfTKZfLFTABAICGKeQB5vjx49q3b5/atm2r/v37q2nTplq3bp21Pj8/XwUFBfJ6vZIkr9er7du368iRI9aY7OxsuVwupaSkhLpcAABgA0E/hHT33XfrqquuUocOHXTo0CHdd999ioyM1A033CC3262JEycqMzNT8fHxcrlcuuOOO+T1ejVw4EBJ0rBhw5SSkqKxY8dqzpw58vl8mj59ujIyMuR0OoNdLgAgiIykz0vbW/NAqAQ9wHz55Ze64YYb9O2336pNmzYaNGiQNm3apDZt2kiSHn/8cUVERGjUqFEqKytTWlqann32Wev9kZGRWr58uW677TZ5vV41a9ZM48eP1wMPPBDsUgEAQVZqojXs82d/eiBwlhzGmAYZkv1+v9xut4qLizkfBmiAOIkXCK8Ds9NDst2f+/vNs5AAAIDtEGAAAEET7SjVmvP/oDXn/0HRjtJwl4MGLCSPEgAANE4OSedHF1jzQKiwBwYAANgOAQYAANgOAQYAANgOAQYAANgOAQYAANgOVyEBAILGSPqyPMGaB0KFAAMACJpSE61Bny0IdxloBDiEBAAAbIcAAwAAbIcAAwAIGqejTG91maK3ukyR01EW7nLQgHEODAAgaCJk1Cd2jzUPhAp7YAAAgO0QYAAAgO0QYAAAgO0QYAAAgO0QYAAAgO1wFRIAIKi+rXSFuwQ0AgQYAEDQlJho9d+1ONxloBHgEBIAALAdAgwAALAdAgwAIGicjjIt6XyvlnS+l0cJIKQ4BwYAEDQRMhrYfIc1D4QKe2AAAIDtEGAAAIDtEGAAAIDtEGAAAIDtcBIvAHW8d0W4SwCAWiHAAACC6mS1M9wloBEgwAAAgqbERCtlx/+Euww0ApwDAwAAbIcAAwAAbIcAAwAIGqejXAs6ztSCjjPldJSHuxw0YJwDAwAImghV6zLXx9Y8ECrsgQEAALZDgAEAALZTrwPM3Llz1bFjR0VHR2vAgAHasmVLuEsCAAD1QL0NMEuXLlVmZqbuu+8+ffLJJ+rTp4/S0tJ05MiRcJcGAADCrN4GmMcee0yTJk3SzTffrJSUFM2fP1+xsbFasGBBuEsDAABhVi+vQiovL1dubq6ysrKsZREREUpNTVVOTk6N7ykrK1NZWZn1uri4WJLk9/tDWyzQAFSXnQx3CWggqhyl8v/fX6eqspOqNlyJ1FCF6vf11HaNMT86rl4GmG+++UZVVVVKTEwMWJ6YmKjPPvusxvfMmjVL999//2nLk5OTQ1IjAKBmbmtuXBirQKi5nwjt9o8dOya3233G9fUywNRFVlaWMjMzrdfV1dU6evSoWrVqJYfDEZLP9Pv9Sk5O1sGDB+VyuULyGfVRY+y7MfYsNc6+G2PPUuPsuzH2LNX/vo0xOnbsmJKSkn50XL0MMK1bt1ZkZKQKCwsDlhcWFsrj8dT4HqfTKacz8AmocXFxoSoxgMvlqpd/CUKtMfbdGHuWGmffjbFnqXH23Rh7lup33z+25+WUenkSb1RUlPr3769169ZZy6qrq7Vu3Tp5vd4wVgYAAOqDerkHRpIyMzM1fvx4XXjhhfrVr36lJ554QidOnNDNN98c7tIAAECY1dsA89vf/lZff/21ZsyYIZ/Pp759+2rVqlWnndgbTk6nU/fdd99ph64ausbYd2PsWWqcfTfGnqXG2Xdj7FlqOH07zE9dpwQAAFDP1MtzYAAAAH4MAQYAANgOAQYAANgOAQYAANhOgw4wHTt2lMPhOG3KyMjQgQMHalzncDj06quvBmxn4cKF6t27t6Kjo5WQkKCMjIyA9du2bdMll1yi6OhoJScna86cOafV8uqrr6pbt26Kjo5Wr1699M477wSsN8ZoxowZatu2rWJiYpSamqo9e/aEre+PPvpIQ4cOVVxcnFq2bKm0tDRt3bq13vb9Yz1Lks/n09ixY+XxeNSsWTP169dP//M//xOwjaNHj2rMmDFyuVyKi4vTxIkTdfz48XrbczD6PnDggCZOnKhOnTopJiZG5557ru677z6Vl5fX276D8Wd9SllZmfr27SuHw6G8vLx623Mw+16xYoUGDBigmJgYtWzZUtdcc03A+oKCAqWnpys2NlYJCQmaOnWqKisrA8Zs2LBB/fr1k9PpVJcuXbRw4cLTPmfu3Lnq2LGjoqOjNWDAAG3ZsiUsPX/++ecaOXKkWrduLZfLpUGDBukf//hHve355/S9b98+/eY3v1GbNm3kcrl0/fXXn3bjVzt+n9WaacCOHDliDh8+bE3Z2dlGkvnHP/5hKisrA9YdPnzY3H///aZ58+bm2LFj1jYeffRRk5SUZBYtWmT27t1rtm7dat566y1rfXFxsUlMTDRjxowxO3bsMK+88oqJiYkxf/nLX6wxH3zwgYmMjDRz5swxu3btMtOnTzdNmzY127dvt8bMnj3buN1u8+abb5qtW7eaq6++2nTq1MmUlJT84n0fO3bMxMfHm5tuusl89tlnZseOHWbUqFEmMTHRlJeX18u+f6xnY4y5/PLLzUUXXWQ2b95s9u3bZx588EETERFhPvnkE2sbw4cPN3369DGbNm0y7733nunSpYu54YYbrPX1redg9L1y5Upz0003mdWrV5t9+/aZt956yyQkJJi77rqr3vYdjD/rU/793//djBgxwkgyn376ab3tOVh9v/baa6Zly5Zm3rx5Jj8/3+zcudMsXbrUWl9ZWWl69uxpUlNTzaeffmreeecd07p1a5OVlWWN+eKLL0xsbKzJzMw0u3btMk8//bSJjIw0q1atssYsWbLEREVFmQULFpidO3eaSZMmmbi4OFNYWPiL93zeeeeZK664wmzdutV8/vnn5g9/+IOJjY01hw8frpc9/1Tfx48fN507dza/+c1vzLZt28y2bdvMyJEjzUUXXWSqqqqsbdjx+6y2GnSA+aE//vGP5txzzzXV1dU1ru/bt6+ZMGGC9fro0aMmJibGrF279ozbfPbZZ03Lli1NWVmZtWzatGmma9eu1uvrr7/epKenB7xvwIAB5ve//70xxpjq6mrj8XjMww8/bK0vKioyTqfTvPLKK7Vrsga17fujjz4ykkxBQYG1bNu2bUaS2bNnjzGm/vf9w56bNWtmXn755YAx8fHx5r//+7+NMcbs2rXLSDIfffSRtX7lypXG4XCYr776yhY916XvmsyZM8d06tTJel3f+65rz++8847p1q2b2blz52kBpr73bEzt+66oqDDnnHOOef7558+4zXfeecdEREQYn89nLZs3b55xuVzWf4t77rnH9OjRI+B9v/3tb01aWpr1+le/+pXJyMiwXldVVZmkpCQza9asOnb7T7Xt+euvvzaSzMaNG631fr/fSDLZ2dm26PmHfa9evdpERESY4uJia31RUZFxOBxWTw3l++ynNOhDSN9XXl6uv/3tb5owYUKND3fMzc1VXl6eJk6caC3Lzs5WdXW1vvrqK3Xv3l3t2rXT9ddfr4MHD1pjcnJyNHjwYEVFRVnL0tLSlJ+fr++++84ak5qaGvB5aWlpysnJkSTt379fPp8vYIzb7daAAQOsMb9k3127dlWrVq30wgsvqLy8XCUlJXrhhRfUvXt3dezYsd73XVPPv/71r7V06VIdPXpU1dXVWrJkiUpLSzVkyBCr1ri4OF144YXWdlJTUxUREaHNmzfX+57r2ndNiouLFR8fb72uz33XtefCwkJNmjRJf/3rXxUbG3vadutzz3Xt+5NPPtFXX32liIgIXXDBBWrbtq1GjBihHTt2BPTdq1evgBuGpqWlye/3a+fOnT+r7/LycuXm5gaMiYiIUGpq6i/+Z92qVSt17dpVL7/8sk6cOKHKykr95S9/UUJCgvr371/ve66p77KyMjkcjoCb0EVHRysiIkLvv/++Va/dv89+jkYTYN58800VFRXppptuqnH9qR/oX//619ayL774QtXV1XrooYf0xBNP6LXXXtPRo0d1+eWXW+cI+Hy+0+4OfOq1z+f70THfX//999U0pq7q0neLFi20YcMG/e1vf1NMTIyaN2+uVatWaeXKlWrSpMmP9vT9fsLVd009L1u2TBUVFWrVqpWcTqd+//vf64033lCXLl2sWhISEgK206RJE8XHx/9kP/WhZ6luff/Q3r179fTTT+v3v/+9taw+912Xno0xuummmzR58uSAL/jvq889S3Xr+4svvpAkzZw5U9OnT9fy5cvVsmVLDRkyREePHj3rvv1+v0pKSvTNN9+oqqqqXvxZOxwOrV27Vp9++qlatGih6OhoPfbYY1q1apVatmxZ73uuqe+BAweqWbNmmjZtmk6ePKkTJ07o7rvvVlVVlQ4fPmzVa/fvs5+j0QSYF154QSNGjKjx8dwlJSVavHhxwF4I6Z8PkKyoqNBTTz2ltLQ0DRw4UK+88or27Nlz2klg9VVd+i4pKdHEiRN18cUXa9OmTfrggw/Us2dPpaenq6Sk5Jcqvc5q6vlPf/qTioqKtHbtWn388cfKzMzU9ddfr+3bt4ex0uA6276/+uorDR8+XP/2b/+mSZMm/ZKl11lden766ad17NgxZWVlhavss1aXvqurqyVJ/+///T+NGjVK/fv314svvljjhQv1UV16NsYoIyNDCQkJeu+997RlyxZdc801uuqqq6wf+/ruh323adNGr776qt5++201b95cbrdbRUVF6tevnyIiGs1PuqR6/CykYPrf//1frV27Vq+//nqN61977TWdPHlS48aNC1jetm1bSVJKSoq1rE2bNmrdurUKCgokSR6P57Szv0+99ng8Pzrm++tPLTv1made9+3bt1a9fl9d+168eLEOHDignJwc6x/E4sWL1bJlS7311lsaPXp0ve27pp737dunZ555Rjt27FCPHj0kSX369NF7772nuXPnav78+fJ4PDpy5EjAtiorK3X06NGf7CfcPZ9N36ccOnRIl156qX7961/rueeeC9h2fe27rj2vX79eOTk5pz0H5sILL9SYMWP00ksv1duez6bvmr7PnE6nOnfuHPB99sMrZ35u3y6XSzExMYqMjFRkZOSP/rf5pXpev369li9fru+++04ul0uS9Oyzzyo7O1svvfSS7r333nrb85n6lqRhw4Zp3759+uabb9SkSRPFxcXJ4/Goc+fOVr12/j77uRpFXHvxxReVkJCg9PT0Gte/8MILuvrqq9WmTZuA5RdffLEkKT8/31p29OhRffPNN+rQoYMkyev1auPGjaqoqLDGZGdnq2vXrtYuSq/Xq3Xr1gVsOzs7W16vV5LUqVMneTyegDF+v1+bN2+2xtRFXfs+efKkIiIiAs6ZOfX61P/F1de+a+r55MmTVg/fFxkZGdBPUVGRcnNzrfXr169XdXW1BgwYUK97Ppu+pX/ueRkyZIj1f+Q/HF9f+65rz0899ZS2bt2qvLw85eXlWZeFLl26VH/+85/rdc9n03f//v3ldDoDvs8qKip04MCBgO+z7du3B/z4ZWdny+VyWcHnp/qOiopS//79A8ZUV1dr3bp1v/if9ZnGREREBPzbr489n6nv72vdurXi4uK0fv16HTlyRFdffbVVr52/z362kJ8mHGZVVVWmffv2Ztq0aTWu37Nnj3E4HGblypU1rh85cqTp0aOH+eCDD8z27dvNlVdeaVJSUqzLiYuKikxiYqIZO3as2bFjh1myZImJjY097VK0Jk2amEceecTs3r3b3HfffTVeihYXF2feeust67K4s7kU7Wz63r17t3E6nea2224zu3btMjt27DC/+93vjNvtNocOHaq3fZ+p5/LyctOlSxdzySWXmM2bN5u9e/eaRx55xDgcDrNixQpr3PDhw80FF1xgNm/ebN5//31z3nnnBVx2WB97Ptu+v/zyS9OlSxczdOhQ8+WXXwZculmf+z7bP+vv279//2lXIdXHnoPR9x//+EdzzjnnmNWrV5vPPvvMTJw40SQkJJijR48aY/51SfGwYcNMXl6eWbVqlWnTpk2NlxRPnTrV7N6928ydO7fGS4qdTqdZuHCh2bVrl7n11ltNXFxcwJU+v0TPX3/9tWnVqpW59tprTV5ensnPzzd33323adq0qcnLy6u3Pf9Y38YYs2DBApOTk2P27t1r/vrXv5r4+HiTmZkZMMau32e10eADzOrVq40kk5+fX+P6rKwsk5ycHHD9/PcVFxebCRMmmLi4OBMfH29+85vfBFxebIwxW7duNYMGDTJOp9Occ845Zvbs2adtZ9myZeb88883UVFRpkePHqd9mVZXV5s//elPJjEx0TidTjN06NAz1vxznG3fa9asMRdffLFxu92mZcuW5rLLLjM5OTkBY+pb3z/W8+eff26uvfZak5CQYGJjY03v3r1Pu/zy22+/NTfccINp3ry5cblc5uabbw64J1B97Pls+37xxReNpBqn+tz32f5Zf19NAaY+9mzM2fddXl5u7rrrLpOQkGBatGhhUlNTzY4dOwLGHDhwwIwYMcLExMSY1q1bm7vuustUVFQEjPnHP/5h+vbta6Kiokznzp3Niy++eFo9Tz/9tGnfvr2Jiooyv/rVr8ymTZvC0vNHH31khg0bZuLj402LFi3MwIEDzTvvvFOve/6pvqdNm2YSExNN06ZNzXnnnWceffTR026TYdfvs9pwGGNM6PfzAAAABE+jOAcGAAA0LAQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgOwQYAABgO/8fMRHyaAdxCbYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "finalFailList = list()\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        finalFailList.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "id": "ac618c3b-3c6c-44a7-a099-c5e10bd47985",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11799448 11785556.06097 11800729.920286236\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(tractPop), np.sum(unitPop),np.sum([vtdUSE[v]*tractPop[v] for v in range(nVTDs)]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that VTDs are represented 1.0 across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that VTDs are represented 1.0 across all units\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "plotVTDs, plotUses = list(), list()\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 0  and v not in allCutVTDs:\n",
    "        plotVTDs.append(v)\n",
    "        plotUses.append(vtdUSE[v])\n",
    "plt.scatter(plotVTDs, plotUses)\n",
    "plt.show()\n",
    "for i,v in enumerate(plotVTDs):\n",
    "    if plotUses[i] > 0.1 and plotUses[i] < 0.9 :\n",
    "        print(v,tractPop[v], plotUses[i],\"vtd no, its pop, and usage across all units\")\n",
    "        plotPoly(tractGeom[v])\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "611dbfea-b145-4c9a-abfa-37eb82936896",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "id": "25ff92f5-9abb-4f03-aed7-cd054110ad17",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "#  NOTE 2 - SOMEHOW CORRUPTED FOR OHIO, SO WE PATCH BELOW\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "id": "8ff677b6-e00a-41c4-b775-aa1ea87fe1c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unclear how we have a mismatch between unit and vtd coverage in a few counties\n",
      "5 0.98277 summed / expected 0.98277 0.059\n",
      "6 0.97853 summed / expected 0.97853 0.085\n",
      "11 0.98495 summed / expected 0.98495 0.173\n",
      "22 1.00826 summed / expected 1.0 0.202\n",
      "30 1.00513 summed / expected 1.0 1.056\n",
      "37 1.07286 summed / expected 1.0 0.056\n",
      "44 0.98971 summed / expected 0.98971 0.227\n",
      "61 0.79727 summed / expected 1.0 0.051\n",
      "65 0.94942 summed / expected 0.94942 0.034\n",
      "69 0.98827 summed / expected 0.98827 0.159\n",
      "74 1.11385 summed / expected 1.0 0.061\n",
      "86 1.02532 summed / expected 1.0 0.168\n"
     ]
    }
   ],
   "source": [
    "print(\"unclear how we have a mismatch between unit and vtd coverage in a few counties\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "countySummedUnitPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "        countySummedUnitPop[countyNo[v]] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "        countySummedUnitPop[countyNo[v]] += unitVTDfrac[u][i] * tractPop[v]\n",
    "badCountyList = list()\n",
    "badCountyFrac = list()\n",
    "for c in range(nCounties):\n",
    "    if abs(countySummedUnitPop[c]/countyPop[c] - 1.) > 0.005 :\n",
    "        print(c,r5(countySummedUnitPop[c]/countyPop[c]),\"summed / expected\",r5(totCpop[c]/countyPop[c]),r3(countyPop[c]/aDP))\n",
    "        badCountyList.append(c)\n",
    "        badCountyFrac.append(countySummedUnitPop[c]/countyPop[c])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "id": "a4c44d63-f565-4889-aca4-e0f7bbf194cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit-summed county pops for non unit counties / true county pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ucp = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    for c in range(nCounties):\n",
    "        if countyGeom[c].contains(unitCP[u]):\n",
    "            break\n",
    "    if c in nonunitCounties:\n",
    "        ucp[c] += unitPop[u]\n",
    "plt.scatter([c for c in nonunitCounties], [ucp[c]/countyPop[c] for c in nonunitCounties])\n",
    "print(\"unit-summed county pops for non unit counties / true county pop\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "id": "916b4985-e1aa-4b99-bc5b-750fd713d10c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "at this late stage, since the errors are mainly in low-pop counties ...\n",
      "simply square up by county.  First, assign each multi and skipped vtd to a single unit\n",
      "now check our updated county-level stats\n"
     ]
    }
   ],
   "source": [
    "print(\"at this late stage, since the errors are mainly in low-pop counties ...\")\n",
    "print(\"simply square up by county.  First, assign each multi and skipped vtd to a single unit\")\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 5 and vtdUSE[v] > 1.1 :\n",
    "        usingUs, usingDist = list(), list()\n",
    "        for u in range(nUnits):\n",
    "            if v in unitFullVTDlist[u]:\n",
    "                usingUs.append(u)\n",
    "                usingDist.append(unitCP[u].distance(tractCP[v]) )\n",
    "        assignedU = usingUs[usingDist.index(np.min(usingDist)) ]\n",
    "        for u in set(usingUs).difference( {assignedU}) :\n",
    "            #unitPop[u] -= tractPop[v]\n",
    "            unitFullVTDlist[u].remove(v)\n",
    "            #unitGeom[u] = unitGeom[u].difference(tractGeom[v])\n",
    "            \n",
    "    if tractPop[v] > 5 and vtdUSE[v] < 0.9 :\n",
    "        c = countyNo[v]\n",
    "        availUs, availDist = list(), list()\n",
    "        for u in countyUnitList[c]:\n",
    "            availUs.append(u)\n",
    "            availDist.append(unitCP[u].distance(tractCP[v]) )\n",
    "        assignedU = availUs[availDist.index(np.min(availDist)) ]\n",
    "        #unitPop[assignedU] += tractPop[v]\n",
    "        unitFullVTDlist[u].append(v)\n",
    "        #unitGeom[u] = unitGeom[u].union(tractGeom[v])\n",
    "        \n",
    "print(\"now check our updated county-level stats\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "countySummedUnitPop = [0.]*nCounties\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1.\n",
    "        countySummedUnitPop[countyNo[v]] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "        countySummedUnitPop[countyNo[v]] += unitVTDfrac[u][i] * tractPop[v]\n",
    "badCountyList = list()\n",
    "badCountyFrac = list()\n",
    "for c in range(nCounties):\n",
    "    if abs(countySummedUnitPop[c]/countyPop[c] - 1.) > 0.005 :\n",
    "        print(c,r5(countySummedUnitPop[c]/countyPop[c]),\"summed / expected\",r5(totCpop[c]/countyPop[c]),r3(countyPop[c]/aDP))\n",
    "        badCountyList.append(c)\n",
    "        badCountyFrac.append(countySummedUnitPop[c]/countyPop[c])  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "id": "65c1579c-22b2-4804-9ca5-ca5e05d94650",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.848482177479071\n",
      "3378 1362 removing partial use and index [0.061896293452933494] 1362\n",
      "3379 1362 removing partial use and index [0.7865858840261375] 1362\n"
     ]
    }
   ],
   "source": [
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] > 1.2:\n",
    "        print(vtdUSE[v])\n",
    "        for u in range(nUnits):\n",
    "            if v in unitPartialVTDlist[u]:\n",
    "                idx = unitPartialVTDlist[u].index(v)\n",
    "                print(u,v,\"removing partial use and index\",unitVTDfrac[u],unitPartialVTDlist[u][idx])\n",
    "                vtdUSE[v] -= unitVTDfrac[u][idx]\n",
    "                unitPop[u] -= unitVTDfrac[u][idx] * tractPop[v]\n",
    "                unitGeom[u] = unitGeom[u].difference(tractGeom[v])\n",
    "                unitPartialVTDlist[u].remove(v)\n",
    "                del unitVTDfrac[u][idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "id": "34a768ee-1871-4720-bc5c-52d45c38436c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(tractPop,vtdUSE)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a276b368-e556-42c5-ae58-5d4e3ca2bf7d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "id": "7bc30bb9-f73e-462a-94f2-95831fd81b4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final use avg and SD are 1.00147 0.03931\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unitUse = [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "finalAvg, finalSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"final use avg and SD are\",r5(finalAvg),r5(finalSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "id": "7e3090fa-100b-4c84-b7e6-44f6963451d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TOTAL vtd pop for partial vtd's per unit\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([np.sum([tractPop[v] for v in unitPartialVTDlist[u]]) for u in range(nUnits) ] )\n",
    "print(\"TOTAL vtd pop for partial vtd's per unit\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "id": "975e7493-fb20-4da6-bd80-6a3fea6763b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prepping to write the corrected final vtd lists to a file ...\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"prepping to write the corrected final vtd lists to a file ...\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "\n",
    "#below is commented out, as we had to correct in above blocks...\n",
    "#unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "#unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "#for u in range(nUnits):\n",
    "#    if u %2000 == 0:\n",
    "#        print(\"working on full or partial VTD master list for unit\",u)\n",
    "#   .... this was done above, but there was corruption in surround list, so we modified unit pots and vtd lists,\n",
    "#  ......... so skip here\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "id": "8cd06017-1fa8-4d86-9a32-c9f208d79466",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vUse = [0.]*nVTDs\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vUse[v] += 1.\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vUse[v] += unitVTDfrac[u][i]\n",
    "plt.hist(vUse,bins=50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5379c9c4-c64d-4e81-a9df-fcc98c4da397",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "id": "d26e4f10-c5cb-48d2-8904-0fe5862a5649",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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Egu3nUFapf6eXrZfDxEI+xvVpgzb+XmrnsZVW1GDhL2dRXlWv9bmaahUR+0SBECGEOJHj+SUoul9r9ddx5wI+fHd0CvXBKwPV832qahV4f08Oztwog1DggWkD22FAhyCk58jsNumZg4bAa25CFCICvdWO4micu3Q8vxifZuTqvR+dSO84KBAihBAnYu1CfmFCHva+ObjZDi9Vvs/7e3Kabck/nFcMnhsHXnx3mwVBqkBHm6aJzgolgyO5d7Fmfy6y/i5DnQlZ5lRl2jFQIEQIIU7E0oX8vDy4EHp64LGOwVg6sgs8eW6oqlVgyY5zKCiuRESAFx5u649VaRd1JjXXKhjUGrAcZg1zEzpg64nrzc4bG9u7DSICvZodxJqWXYh5P51BZa3CIq9PVabtGwVChBDiRPpI/BHcimfW8pjAHZg3pBMm9ZeoneB+9GoxFm0/i4KSKrbtwVzgu6PXze63tYSKBJg1OBKzBkfiaF4xpFfvAuAgvn0Aekf449S10n+WvErQR+KP9ByZxRPNqcq0faNAiBBCnIgbl4N3R3c1+sPcgwMMiArEF8/3QiuB+keDMQnO9oSDB8UNm1amXrv/SvM6QEIBqmotN0aqMu0YKBAihBAnM6xrKNa/EKuzjlB8Oz8827stxMLmScEyeTVK7tfA35uH6yVVdrmFXR/V9vXBnULw5k9n8HPmjWZtlE3SfmRyyy9hUZVp+8dhGMYeE/jtglwuh0gkQnl5OYRCoa27QwghRmlcWfrqnQoIBe54KvYhTBnQrlltn9SzhVi8MxslFdbfcaaNr5cHXuonQRt/T6zYcwGlFbUGJVf7CNwQG+6HNgFeiHnIF2KRJ8AB/u/gVey/dMfq/daE6gjZljGf3zQjRAghTsqNy8EjnYLxSKdgtcebnuJ+6MpdmwUMwIMAaNbgSHb2xJPnhhlbMpvt9lLNrcxJ6KCW6Aw0lA5Iz5Hh/d8u2iyg6xnui7eHdaLK0g6EAiFCCHEh9nSK+4vxbTG8a6jGoGFY11CseyG2WV81nee1O+sWFu44h3vV2gsctpRJ/SNoq7yDoUCIEEJchL2d4j68a2izoKHpwat/vfUYu7Mr2EeAmHBfpBy7hoXbz+Ky7B6u3rmPUh0Vnlsa7RBzPBQIEUKIC1AoGbs5xV3bbipNs1WhIgEWDe+Mu/dq8PWBPOTcumf1vvl6eaCmXoHKWsMPrKUdYo6Lq7/JAwqFAkuWLIFEIoGnpyfat2+PFStWoHG+NcMwWLp0KUJDQ+Hp6YmEhATk5qqXIy8pKcH48eMhFArh6+uLKVOm4P79+2ptzp49i4EDB0IgECA8PByrV69u1p9t27ahU6dOEAgE6NatG1JTU9WuG9IXQghxBcfzS6y6HNa9tRA/TO2LT5+LwZKkznipX1sAD3J6GmMAjO3dRu0x1WxV0z4Wlldj1tbTWLHnQosEQQCw8uluOPfOMHz3Uh+MjgnDw219MbpHGF4bHAkOmo9J9T3tEHNMRs0Iffjhh1i3bh02b96MLl264OTJk3jppZcgEonw+uuvAwBWr16NNWvWYPPmzZBIJFiyZAkSExORk5MDgaBhynD8+PEoLCxEeno66urq8NJLL2HatGlISUkB0JDtPXToUCQkJGD9+vU4d+4cJk+eDF9fX0ybNg0AcOTIEYwbNw4rV67EE088gZSUFIwePRqZmZno2rWrwX0hhBBXYK3qxlwO8OlzMXgypnWza3HtArTmI32acRlbT1zHspHRGBItxrKd2S0+W9U0Ebtp/tHAjkEY2DFI7TldwoQG5S0Rx2HU9vknnngCISEh2LhxI/vYmDFj4OnpiS1btoBhGISFheGNN97Am2++CQAoLy9HSEgINm3ahLFjx+LChQuIjo7GiRMn8PDDDwMA0tLSMGLECNy4cQNhYWFYt24dFi1aBJlMBh6PBwBYsGABduzYgYsXLwIAnnvuOVRUVGD37t1sX/r27YuYmBisX7/eoL7oQ9vnCSGOTpVzc/jKHazdn2fx+7/Qtw3eG91N5+uv3Zer86BSgTsX1VrqHVlLUjcxPn2up1r+kaE7vZrmMdEOMftjzOe3UUtj/fr1w969e3H5ckNxrTNnzuDQoUMYPnw4ACA/Px8ymQwJCQnsc0QiEeLi4iCVSgEAUqkUvr6+bBAEAAkJCeByuTh27BjbZtCgQWwQBACJiYm4dOkSSktL2TaNX0fVRvU6hvSlqZqaGsjlcrUvQghxVGnZhRjw4T6M++aoVYIgAJAEeOtts/XE3zqvt3QQNCQ6GF+O7wWeOxfx7QPwZExrxLcPMDiYceNyND5PVZZgZ9ZNSPOKoWhasZHYJaOWxhYsWAC5XI5OnTrBzc0NCoUC77//PsaPHw8AkMlkAICQkBC154WEhLDXZDIZgoPVa1q4u7vD399frY1EIml2D9U1Pz8/yGQyva+jry9NrVy5EsuXLzfgJ0EIIfatJXaIcTnAhPgInW2O5N61i636ACAUuOOD0d3wREyYxuumzPTU1iux+Ug+dp25hYuy+6hVPAjqqKiiYzAqEPrpp5/w/fffIyUlBV26dEFWVhbmzJmDsLAwTJw40Vp9bDELFy7EvHnz2O/lcjnCw8Nt2CNCCDFeS+0QmzpQ0qxCdVWtAu/vOY+sv8txvaQC8mrLnOBurlmPtcfcIR21BjbadqzpCmTe33Me3xws0PqaheXVmLElE+teiKVgyI4ZFQi99dZbWLBgAZtf061bN1y7dg0rV67ExIkTIRaLAQC3b99GaOiD/+i3b99GTEwMAEAsFqOoqEjtvvX19SgpKWGfLxaLcfv2bbU2qu/1tWl8XV9fmuLz+eDz+Yb9MAghxE5Ze4cYB8C0QRIsHBENoGFWJPnwVXy5/4rdBD5N9Y8M0hkEaZo9kzUJZBrPGP1XWoBT18r0vi4DYOH2cxgSLaY8IjtlVCBUWVkJLlc9+ndzc4NS2TAVKJFIIBaLsXfvXjbYkMvlOHbsGGbMmAEAiI+PR1lZGU6dOoVevXoBAPbt2welUom4uDi2zaJFi1BXVwcPDw8AQHp6Ojp27Ag/Pz+2zd69ezFnzhy2L+np6YiPjze4L4QQ4oystUPMg8vBqJgwvDe6G04WlGDOD5mQXr2L2/fs91R6ffV9dM2eqR6blZKJHuG+uFh4DxW1xgd6pZV1WLsvF7MTOhj9XGJ9RgVCI0eOxPvvv482bdqgS5cuOH36ND755BNMnjwZAMDhcDBnzhy89957iIqKYresh4WFYfTo0QCAzp07Y9iwYZg6dSrWr1+Puro6zJo1C2PHjkVYWMO67fPPP4/ly5djypQpmD9/PrKzs/H555/j008/Zfsye/ZsPPLII/j444+RlJSErVu34uTJk9iwYYPBfSGEEGdkqerGfDcOJIHeeLRTEPq3CwI4wHfSAnRemmaR+5urQ7A3gnz4cONycSD3rtZzyXTV9zFk9qxeCYNmf3RJPlyAWYOjaFbIDhkVCH3xxRdYsmQJXn31VRQVFSEsLAzTp0/H0qVL2TZvv/02KioqMG3aNJSVlWHAgAFIS0tTq9vz/fffY9asWXj88cfB5XIxZswYrFmzhr0uEonwxx9/YObMmejVqxcCAwOxdOlStoYQ0LCDLSUlBYsXL8a///1vREVFYceOHWwNIUP7QgghzqaPxB+hIgFk5dVG5QlxAcxOiEJEoDcCvflQMgykV4txPL8Y3xwogMLwaistYubgKLZ+kaYcH0Pq+8jKq6zeTwAoq6rD8fwSOofMDhlVR8jVUB0hQoijUuW9ANAbDHEAjOoRilVjekCaV4xlO8/h7zL72Omlyw9T+6oFFobs+lIoGRy9WoyDuXfw18UiXLh9v+ltrebzsZoLTxLLM+bzm84aI4QQJ6T19HYhH2N7t8Gl2/dw4PIdVNQqwADYeaYQO88U2q7DRtCW96Oq79OUQsngwMUiLN2Vjb9LbRfg0YGs9okCIUIIcVLDuoZiSLRYbZakV1s/rNl7Gb9la66nZu8MyftRKBkcuFSE/6RfwtWiClS1cMHGpuhAVvtGgRAhhDgxNy4HfST+OJ5fgj/OF2L8N0dh27DAPBxOQ/2ipnk/96vrMffH0zh/S45bdlLAEaADWR0BBUKEEOKkFEoGX+zNxTeHrqKixj7r+zTF4QC6MleVDLDhQD56tvHDkGgxDlwowispJ2EPw3PncuDG5aCm0QwUHchq/ygQIoQQJ5SWXYh5P51BpQl1b2zJkO07DGD140MM4evpjpf6SxAR6M0mZwOgA1kdDAVChBDiZNKyC/HKPzvGWhoHgCTQG2MfDsekARK4cTlYu+8KPs24rPN5XE7DbI+hbBkEefPcMG1Qe8waHKkxyHHmLfKmnMdm7ygQIoQQJ6JQMnjn15wWf922AZ74YHR39NVwivvshCh0FLdqtoPN39sDT8W0RpivJ1bsudDSXTYIlwNEBbdCxxAfhPt7oV9kIPq2M/ykemdiynlsjoACIUIIcSLH80sgk7dssvB//tUd/3pY/YDqpjMHQ6LFzXawqWYTdmbdbNH+GkIs5OOjf/VAv8hAlwx6mjL0PDZHRIEQIYQ4EWudM6ZLaz8vte8NmTmoqlVg4faz+O1cIe7ZQ6YzgMBWPAzrIsaipGh48twsck9nWErSdx4bB8DyXTkOe7AsBUKEEOJELFm0T+DOgVLJoFbHfvsAbx56tfVjv9c1c/DKlkwMigpE9s1ylFTax0Gt3VsLMbJHa0zsFwGeO1f/E4zgLEtJ+s5jYwAUllc77BEiFAgRQogT6SPxh1goMHl5zI0DPNWzNT54ujt47ly9R3UUV9TikY/2Y9nIaAyJFus9yf1A7l2T+mVJ4X6eeHdkFwzqFGy1GYyWWEoyZ7bJmOcaOstoi9lIS6BAiBBCnIgbl4N3RkUbtWtMLOSjT4Q/nnk4vFlOjLajOhpTfbjPSYjSe5K7rTzcRoTZCR1bJOenJZaSzJltMva5hs4yOuoRInToqg506CohxFGlZRdiwfZzKNOwBMVz4+DxzsF4IS5C4y4vTbMFCiWDviszUFJhH0ta+rTxE2BUzEOIbx/Q4ru8pHnFGPfNUb3tmh4aayhts02qEeqabTLluQolgwEf7oOsvFpjcKc6QuTQ/MF2kyNEh64SQoiLU50zdvRqMY5cuYubZVUI8/VEfz3bv7XNFoztHW73QZA3zw0ju4di2aiuFkt2NoU1l5LMmW0y9bluXA6WjYzGjC2Z4EB9idQZjhChQIgQQpyUG5eD/pGB6B8ZyD6mKzdEV17Lpxm5Ldhzw0UGeWPZyC52tc3dmktJ5iQum/NcbUukznCECAVChBDiInTlhhiS6GwvWvHcMOOxdpg6MNLiO70sQV/Cujmn0Zsz22TuTJVqltHRywE0RYEQIYS4AH27mOw50ZkL4PHOwegjCbDKNndLS8+Robpec20kc5eSzJltssRMlRuX45Bb5HWhQIgQQpycvtwQAHa39MUBECbiY8fMgQgS8rW2s7eChdoCThVfLw+sfLqbyUtJfST+CBUJ9CYua5ptMvS5SiWDnVk37eLn2RIoECKEECenLzfEHgjcgPjIIPRrH2jwrI+h28BbKljSFXCq8N25GBItbvY8Q/tnTuKyvucyAKrqFBi/8Rj7uCMWgDQWbZ/XgbbPE0Kcwc6sm5i9NcvW3VDT4yEhJvSNQGs/L5MCE0O3gbdkdWdTts2b2j9zxpV69hYW78xW2wXo5+WBUg2lFgzZkm+PaPs8IYQQVNUqsGL3efx08m9bd4U1fUAE3h5h3lZrQ7eBK5UMZqacbrGDQtNzZAa1UyUjm1N92pTEZYWSwdp9uUg+XICyqgdBj783D0ql5nNUnOEsMX0oECKEECc09b8nkJ5TZOtuAADEPu5YOToGgzpb5kgLQ7eBL96Z3WIHhSqUDHZk3TKobbCPwCLVp41JXNZVYLOkolbncx39LDF9KBAihBAnYw9BUGdxK7yV2BmPdAyy+CxChoEzL7oKQFr6w/14fonegAIA/L090Efi36IHmepL4DaUo54lpg8FQoQQ4kSqahU2CYI8OEC/qAB8+fzDaCV48NGiUDKQ5hVbLFFZoWTwS9ZNS3QZgOU+3A29z1MxreHG5bTYQaaGJHAbylHPEtOHAiFCCHEiH6TmtNhrTejbBitGd9N63RqJyg0zL/qP+hAK3CGvrtfbzlIf7obeJ+GfHWPm1vQxdKeZJXYMmlMA0hFQIEQIIU6koLjSqvcXCtwwdYAE0x+N0rnF3ZxEYF0MnSEZ0+shpGXLTKq3Ywpj6/uYUw/ImADT3BklZzhLTB8KhAghxIlEBHjhoAVrI3IAfPviwxjUyfBEZ0skAje9n2r24+69GoP6MDRajDiJf4sdFGpsfR9DavqM7R2OX7NuoqSiFv6t+BALBSitqDFqJ5wxM15+Xh7gu3Mhkz/4GTvDWWL6UB0hHaiOECHE0VTVKtB5aZpF7vXRmO54pne40c8ztJ7O91Pi0D8qUO9BsE1nP7gcQKnjkytUJMCh+YPhxuW0aB0hbf3V9Xqa2vt6eQCAxh1eusaumkVSjR1oCCIHfLhP68xTY+tfiHWas8SM+fymQEgHCoQIIY7I3F1j5gYKv2TewNyfzuht5+vpged6P4RfzxRqDBwAGLXbSVvxP1MrS7fU8xq3L7hbic8yLpuV3Ny4YCPwYJkS0HyArq+XB1aZceyHPaJAyEIoECKEOCp9wZAbgOf6hGPJE13Ac+dabBYgLbsQ//4l26Ct5NqoXlnk5aFxVkSl6eyIJWd6rDmTpC1QUs3emJvc/PnYGDwZ01rtMW0zTy/1k2DW4EiHnPXRhQIhC6FAiBDiyFSVpY/k3cWde7UQeHAQ85AvPh/XS22Lu6VYql6NMZYkdUagD19vAGfMLI2hx3eYQleAJfLkGbSkqE/TGSEVezug1proiA1CCCHw5Lnhg6e7t8hrWbJejTECffjNZj+aMmZ2x9KJ3k37oWsn3eT+EUbdryl9O+GMqURtLQolg6NXiyHNKwbAIL5dIPq2D7BpQEaBECGEELPZ6oR7fbuijN3Gb62Kz4YEWNtP3zD4ftrY6zb3hnPOrmDDgTxU1CrYx9fuz7N5jhIFQoQQQszW0scvcACECPnIvlmO37ILEe7niU5iIUoqa9llHwBGz+5Yq+KzIQFWaaX+ApDa+Ht74IOn7CPhWbUEd6u0Elk3ynC9pBLH8ktQXaf5YNeyyjq8siUT6210wj0FQoQQQljG5pHU1ivxnbQAx/JLLNoPDhqSeUsr65rV2cE/39+W1+D91Asan+/r6YGEziFGz+6YW/FZG2sHikue6GLTIEj17+aP8zL8nHkD9wyo6t3UO7+et8kJ9xQIEUIIAWD8TqmVqTn45mC+zpo+plB9DK58uuH4jmU7s3H7XvNdaLpetqyqDj9nGrbU1DhIMafisy7WPqdLLGzZc8AaB8z5dyrw36PXzNopCAAyeY1NTrjXXh9dg4iICHA4nGZfM2fOBADk5eXhqaeeQlBQEIRCIZ599lncvn1b7z1WrVql1ubs2bMYOHAgBAIBwsPDsXr16mZ92bZtGzp16gSBQIBu3bohNTVV7TrDMFi6dClCQ0Ph6emJhIQE5OZasNwqIYQ4EVUuTdMZFFUuTVp2odrjK1Nz8PUB84KgUJEA0wdJECpS/xAXiwRY909xvz1nb6FIQxBkSY2DFFXFZ+BBQKZiTkVqVYBljbmO0BY6B0x1gO6KXefx8Ht/YNw3RzF7axY+25trdhCkYosT7o2aETpx4gQUigdJTtnZ2RgyZAieeeYZVFRUYOjQoejRowf27dsHAFiyZAlGjhyJo0ePgst9EHO9++67mDp1Kvu9j48P+//lcjmGDh2KhIQErF+/HufOncPkyZPh6+uLadOmAQCOHDmCcePGYeXKlXjiiSeQkpKC0aNHIzMzE127dgUArF69GmvWrMHmzZshkUiwZMkSJCYmIicnBwKBc56gSwghpjB2p1RtvRLfHMw36bVmPdYeUSE+astubw/rjOP5JZDJG47QKK2swc6sW5jzY5bWvBJL0Da7M6xrKKYNkuCbg/loXGCGwwGmDpSYtASl60gNc1kzQVo185OWfQs/nbyBKiv+9wBsc8K9UYFQUFCQ2verVq1C+/bt8cgjjyA9PR0FBQU4ffo0u2d/8+bN8PPzw759+5CQkMA+z8fHB2KxWONrfP/996itrcW3334LHo+HLl26ICsrC5988gkbCH3++ecYNmwY3nrrLQDAihUrkJ6ejrVr12L9+vVgGAafffYZFi9ejCeffBIA8N///hchISHYsWMHxo4da8ywCSHEqRm7U+o7aYHJM0H9I4OaLX24cTkor6rF8l3ndRZQtCRdsztp2YXYcCC/WbCiZIANB/LRs42fScHQsK6hWPdCbLPlR0N4891QUaNQe8zPywMrrbDb6kG+T+E/+T4K/U+yALGQb5MT7k3OEaqtrcWWLVswb948cDgc1NTUgMPhgM/ns20EAgG4XC4OHTqkFgitWrUKK1asQJs2bfD8889j7ty5cHdv6IpUKsWgQYPA4/HY9omJifjwww9RWloKPz8/SKVSzJs3T60/iYmJ2LFjBwAgPz8fMplM7TVFIhHi4uIglUq1BkI1NTWoqXlw2JxcLjf1x0MIIQ7D2J1S10qMP+G+6eyL+rESFfg0o2VTF7QdJmpIPSRT6wgBDcFQ4/O8Ar35eGPbGdyW685J+uutx3AivwTSq3cBNNQD6tvOMvV3VP8tZOVVOHTlLtLOy5oFXS3hnVFdbLL13+RAaMeOHSgrK8OkSZMAAH379oW3tzfmz5+PDz74AAzDYMGCBVAoFCgsfLC2/PrrryM2Nhb+/v44cuQIFi5ciMLCQnzyyScAAJlMBolEovZaISEh7DU/Pz/IZDL2scZtZDIZ267x8zS10WTlypVYvny5CT8NYipXqnRKiC3p+l0ruGtYYKNatmjr72XUazedfdGUlN0SDKlCba06Qo01LWz4zij9p9bz3LnoHxWI/lGBJr1mU+WVdXhp0zFcLJSjss62B0w4bB2hjRs3Yvjw4QgLCwPQsGy2bds2zJgxA2vWrAGXy8W4ceMQGxurlh/UeCane/fu4PF4mD59OlauXKk2m2QLCxcuVOufXC5HeLjxJy+T5jS9CafnyFr0VGhCXI3q9y49R4YdWbfUElpVv2tDosX44fh1vfdqvGwxIT4C76deMHh5rPHsiy2O4QCAAG8eJsRHgOeue4+QteoI6aJtyUzbrJUpGvK68rDlSD4K77XM8qMurfhuGBgViBfiIhyzsvS1a9eQkZGB7du3qz0+dOhQ5OXl4e7du3B3d4evry/EYjHatWun9V5xcXGor69HQUEBOnbsCLFY3Gynmep7VV6RtjaNr6seCw0NVWsTExOjtS98Pt/mwZgz0nbYn6ZcAG3VXgkhhlNV8U0+nI+yKs0feqrftTkJHSCT6/9QH9enDfthxXPnYupACb4+oD1h+onuoRgSHdLsUFFbHMMBAMUVtXjko/16AwtDk3UL7lZYqmsAmi+ZWWKGvLZeiXV/5WJtxhXYeNIHQEOy+eCOQXh5YHu7mv03KRBKTk5GcHAwkpKSNF4PDGyYutu3bx+KioowatQorffKysoCl8tFcHAwACA+Ph6LFi1CXV0dPDw8AADp6eno2LEj/Pz82DZ79+7FnDlz2Pukp6cjPj4eACCRSCAWi7F371428JHL5Th27BhmzJhhypCJibT99actIdLcs3wIcXVp2YVYsP2c3qRj1e9a8hHDdn9FBHqz/1+hZPBoxxDkFt3H/kt31HZWcf/ZWbVwRHSze1jrGI4uYT4YHdMap6+XITVbe/pDoQF/aPWR+EMsFOgNDn84fh2zBkdZ9D3KEmeB3a+ux6vfn8SB3GIL9co8nh5c9Inwx6AOQQbNyNmC0YGQUqlEcnIyJk6cyCY4qyQnJ6Nz584ICgqCVCrF7NmzMXfuXHTs2BFAQyL0sWPH8Nhjj8HHxwdSqRRz587FCy+8wAY5zz//PJYvX44pU6Zg/vz5yM7Oxueff45PP/2UfZ3Zs2fjkUcewccff4ykpCRs3boVJ0+exIYNGwAAHA4Hc+bMwXvvvYeoqCh2+3xYWBhGjx5t6s+KGMnUv/4ssQZPiLPTttz8ypZMg+/BQPsfJU2pZko0zfA2fNj5YVCHYJ0fdpauEePvzcN7T3bFiO6hUCgZDPhwn0HP0/WHlhuXg3F92uDTjMs672Gr4n9NKZQM/rp0Bx/9fhEXZPds2hcVocAdT8e2RmKXUI0zP/aWG2p0IJSRkYHr169j8uTJza5dunQJCxcuRElJCSIiIrBo0SLMnTuXvc7n87F161a88847qKmpgUQiwdy5c9XyckQiEf744w/MnDkTvXr1QmBgIJYuXcpunQeAfv36ISUlBYsXL8a///1vREVFYceOHWwNIQB4++23UVFRgWnTpqGsrAwDBgxAWloa1RBqQeb+9WeLwlqE2Cv1XVaV+OH4dbVZC7FQgOp603b6+Hp6oLyqTueupV5t/fB5xmWNu7uq6pT4K7cYnUKFOv/it3SNGJ4bB6oUVEPfbwz5Qysi0LBkcFu9R9XWK7HuzytYuz8XdS2/uUsjf28PPBXTGgnRYp2BjbHVy1sCh2EYO1g5tE9yuRwikQjl5eVsbSRiuJ1ZNzF7a5bJz/9hal+b/7VFiD2w9i6ruQlR+OyfAEfTrqVpgyTYmVVoUC7RV8/HYkR3zR9oqlkbbcdXaNKK74Y4iT/2XrzT7Jqqf+teiEVNvdKo95vPx8bgyZjWGq9J84ox7pujeu/Rku9RtfVKbDyQhy/2X0GllYsaGoLDAZK6hmJIlxCDZ3W0pUo0/u9oqWDImM9vOmuMWI2pf/2ZepYPIc7ImrusVL9rswZHoaPYR+OupVE9QjUWF9Rmyc5sJHbVvuykr7rymNjWEAsF4HAa8mV6R/jjkY/2a3ytxjmF/3mmh4E9bKDr/cla540Z6468Bk+uPYhb8hr9jVuAlwcXvU3M9zG2enlLokCIWI2+NxNNzDnLhxBnY81dVk1/1zTtWurV1g+PfLTfqNcvrqjVueykr7ry/zJvsksl/SMDIc0rNqiuD5iGJRZ9s2aGBDG6AjZrvkcplAz2XyzCu7vO4XqpfQQ/Ag8uxvUOx1At+T6Gaon6TKaiQIhYLXFN35sJg+bb6C1ZN4MQe2Xo75y1dlkBmn/Xmu5a0heEaKMrd0ahZCDy5OHtxI44fOUufs682axN4zIaNfWGLQPdrahh32/0BW6GBDEtUdsHAKpqFViy4yx2ZN5CvUXuaL6gVjw81zsc8e0CLVbjxxb1mQxFgZCLs3bimr43E0vXzSDEHulLdNb2O2fpDwUPLgc92/jitcFR6BcZqPd3zdTX17bsZGiuk9qS178MW/IK9hEgvn2AztkmY9/brFHbB2jY4j5nayb+unwHdpDuAwDw9uAgPjIQnz0Xi1aChtCg8dEbJRW18G/Fh1ho+M+g8b/7g5eb53hpYveHrhLnoi33wNJFDfW9mVBCNHFmhnz4a/udM/ZDgYOGWVa+OxcyDXkldUoGxwtKMTH5uNZaP42Z8qEUqmXZydhcJ3bJiwOj8nUav9+Y+gHemCVq+1TVKvDWj5nYfb7IrPtYGp8LvPp4e8x4pINavo++gpyaAsqms5ylFTVYseeCwTOKtswNpUDIRbV04pol3kwIcTSGfvhr+50zJs9O9Vu68ulubCDwzcE87NOw20rJgK0KrSsYMjbPjwPNy07m5DrdvV9jdL6OPbzf3K+ux8wtJ/DXlRKb9qOpyABPLHmiKwZ0DFL7makCmYwcGX48+Tfu6zh0tWlhytSzhVi8M1vtCBdT2Co3lAIhF2XPiWuEOANjP/w1/c4ZsstKpWnuSq+2fhj/f7qXI745mI83hnbSuvvHmNfXtexkTq6Tasnry+d7/vNha785hXfkNXhizZ+4fd9esn0adA7xxtuJnTGoU7DGQMOUQIYB8Oa2M/g16yZSs2/rba/PnIQOjnfoKnFs9py4RogzMPXDv+nvnNY8OyEf4/q0QUSgt8bcle+kBXoPRVUyDe2mDNR+HqSpr69rTIZovFSSll2IFXsuqAVB/t48LEmyfRB0v7oes1JO4s/L9nGkhcqbQ6MwbVCk3i3uK1NzdJ4Zp8v9GoVFgiDA8CKW1kCBkIsydO3fFolrKvZWhp0QY1gy0diUpN1rJZUGvZ4h7cxNGjYl1wloWCpJz5FpXF4srajFzJRMrOO27AHNtfVKbD5SgKNXi/HXxSK72ekFAH6ebvht9qMQ+xr28049e8vkIMjSbPlZQ4GQi7KXgmGA9jOT7K0MOyHGMOXDX9fvnLF5L239DfsL29B25uTdGJtr1HhX6YAP99m8CF/J/Vr866uDyC8xvCZaS2jFd8OIrmIsf7IbPHluatf0/SGpUDJYvDO7pbvcjD0U0KVAyEXZqmBYU5p21DStLaRi6d1shFiTKYnOlvydmxAfgfdTL+hcHuNyGtpZmyHvN3MSOiAi0EvtQ9vQYorWyGWsqlVgyc6z+PnULYve11zP9WqNdzQEPo0ZUhbleH6J2lKjLdhLAV0KhFxYSxUM00bbjhptp2Hbugw7IcYwJ9HZEnjuXEwdKNG59DF1oMSoYxLMYcr7TUvmMiqUDI7k3sUPJ67h9/O3obCTqR8OgEc7+OOL53uz9X2aqq1X4jtpAa6VVKKypl5rkcpXtmRibkIUIgK9kXvb9ifV20uyOwVCLs5aBcP0MXU7Le1mI47EEonG5lBtjf/mYL7azBCXA4PqCFmase831s5lVCgZHLp0B+//loPLRRUm3cNaBrX3w1cT+mgNflRWpuY0+++rieryp/8crmsLoSIBnooJw4HcuyivqkNHsQ8GRAbZrD8qdPq8DtY6fZ6SgA0/3VkbXSdHE2JvbP0733jGoK2/l9EHZtqKvtPqVfklh+YPNvjnWV5Zh5c2HcOFW+WosqNMZ28PLoZ3F2PFk911Lns1Zs6Or5YwdaAEgzuFsIUtNx0pwN+lVc3adX9IiF9nDbToa9Pp83bM2kda2IIpb/LmTmXbcocBIcaydYE/njtX5xZ5e2WJXEbV+9P14vtYvCPbbo604AJoH+SFH6f3h38rntHPr61X4puD9hkE+Xl5YELfNlAwwCd/XMK5W+Wo1vGDP3tDjlFrD1o8GDIUBUItqKWOtGhJpgZ2pgYy9rDDgBDSckzJLaqtV+Lbg1fx7eE8FNlRcUMPLjDrsSjMeEx/fR99DKkTZQt9IvyQfUuONfvyjHre2Rty3K+u17sUaA20NKaDJZfGVFO82nZAmDLFa2vaAjtV73UFdvqmvDUx5L6EEOejUDI4erUY0rxiAIzGU9FVbT76/RKy/i6zWV+b8nQH1k/ojQFRQWa/tyuUDA7l3sE3B6/i6NUS1NtjJGSGIZ2D8c3E3ha5Fy2N2SFnO9LC3LPK9E15M2i+jd5edhgQQlqOplnn/2XexJKkaIg8PXDwShH2XyhC7p0Ku5whqa4HquoU7PugsakEqvbpOTJ8d/Qa6uxlO5sVXNeQP9QSKBBqIY5ypIWhv6SWCOz0TXnbYjcbIcR+aJt1LiyvxqspmTbpkylUfxQaUihWVbn6REEJSitrkXOrHBW1dpLYZGVt/Dxt8roUCLUQRzjSwph8H0sFdvq20zrC7BghxPLMObHenqj+KFy7LxefZeRqzBFV1ffJulGG/Rd1H5RrbUKBO56KbY2Kas31iKzp0+d6tujrqVAg1ELs6UgLTYxN5LZkYGfrHTWEEPuhKmy4/kCeySfW26PkwwVaUwkA29T38ea54aN/dYefNx9F96oR6M3H0at3seHgVdTUt2wI2v0hoU0SpQEKhFqMvRxpoYkp+T72HtgRQmzP0KV2VfDz+b7LOHmtrOU7qoW+iuDGKKuy7XEWTcWGi/DfKX3xQWoOpFeLUVOrgExeA1sswrUP8rLZ1nmAAqEWZesjLbQxJd/HngM7QjSxdVFDV6BQMjiaVwzp1bvIu1OBo1eLUdpow4Ompfa07ELM++kMKmsVtuhyM17uHIyMCcOSJ7piyKd/OdWsVGPXiivQ9Z3fbd0NhPjw8MfcR23aBwqEWpitjrTQxdR8H3sN7AhpyhkLmdqbtOxCLNh+TutZgcCDpfY5CR3Qxt8Th68U4+fMGy3YS81CfHh4b2RXDO76YNZb34Gvjq640rb1lVSfeMuf7GrzP0goELIBe8uJMSffxx4DO0Iac8ZCpvZCNcuWkSPDxsMFets/yIe5bNV+GaJfO39snNRH63EWtt7Ba6purYV4vFMIPttruzPFDGFPfzBTIETMzvext8COEBVz610R7TTNsjkKDgDp1RL8dblI6wexIx3j4813w8juoWAUDPbn3sHndhwE+Xp54Mtxsc0KYtqS/Z+6R6xOle8DPJiuVKF8H2LPFEoG0rxi7My6CWleMRRNKuoZk/9GDKeaZbPnIChUyAPfXfN7lupfyfJdOc3+zaio/kB0CAyDrSdu4MfMmyi6V2vXJQfKKuvA5XLs6vOEAiEC4EG+j7jJL75YJKClA2KX0rILMeDDfRj3zVHM3pqFcd8cxYAP9yEtu5Bt4yiFTO2FvsBS1cbe6/uIhQKM7ROhcwu4viC48R+I9s7RCi7a2+8bLY0RFuX7EEdhaN6PIxQytQcKJYO1+64g+XC+2jZvTQnl+mbZ7MFtebXBeUi6PpSHdQ3FE91DsftsodY2xHj29vtGgRBRQ/k+xN4Zk/dD9a6aUyU43yqtRNaNMlwvrsSxghJU1zWfVVBVPX6kQxDa+Hsi5iFfrP3zig16bRxjZqtUH8qayisAwMmCUiv00DU1/X2rqlXgg9QcFBRXIiLAC/8eEa01ed2aKBAihDgUY+teUb2rB4xNcFb9vP663HDsw3e4bqWetbzGH8rayiuM7d0GMrl9z345EgZAgDcPMe+k4V6T5byDucB3R69jSHQwvnnRMifQG4pyhAghDsXYvB9Xzn9rnPPzeUau3Sc4t5TGQXB6jkzjz0VWbvjymina+AnweKcgl/sQzr4lbxYENZaeU4Sp/z3Rgj2iGSFCiIMxJe/HVfLfGi/vFNytxA/Hr9OMhgaqGjZDosUY8OE+nWeAWcv10mpcL6X/Npqk5xShqlbRYstkFAgRQhyKqXk/zpj/plAyOHq1GNK8Yly9cw/Sq8UotXHFYHsn8OBiSVJnDOsa6vTVox3ZB6k5WDG6W4u8FgVChBCHQufcPdjl9fWBPLs5o8tRVNcp8WrKaaznclBT71jbzl1JQXFli72WUcuTERER4HA4zb5mzpwJAMjLy8NTTz2FoKAgCIVCPPvss7h9+7baPUpKSjB+/HgIhUL4+vpiypQpuH//vlqbs2fPYuDAgRAIBAgPD8fq1aub9WXbtm3o1KkTBAIBunXrhtTUVLXrDMNg6dKlCA0NhaenJxISEpCba7/VNgkhhnOlvJ/aeiU2/JWHf607jH+tO4J5WzMR++4f+DTjMgVBZnjn1/MI9ObbuhtEi4gArxZ7LaNmhE6cOAGF4sEvXnZ2NoYMGYJnnnkGFRUVGDp0KHr06IF9+/YBAJYsWYKRI0fi6NGj4HIbYq7x48ejsLAQ6enpqKurw0svvYRp06YhJSUFACCXyzF06FAkJCRg/fr1OHfuHCZPngxfX19MmzYNAHDkyBGMGzcOK1euxBNPPIGUlBSMHj0amZmZ6Nq1KwBg9erVWLNmDTZv3gyJRIIlS5YgMTEROTk5EAjsq4YBIcR4zpz3o8r12XAwD/sv3lG7dvKajTpl5xI6B2PvhSKDc3tk8hqAA53LrMR2/j2i5YpZchiGMfm//5w5c7B7927k5uYiPT0dw4cPR2lpKYRCIQCgvLwcfn5++OOPP5CQkIALFy4gOjoaJ06cwMMPPwwASEtLw4gRI3Djxg2EhYVh3bp1WLRoEWQyGXg8HgBgwYIF2LFjBy5evAgAeO6551BRUYHdu3ezfenbty9iYmKwfv16MAyDsLAwvPHGG3jzzTfZvoSEhGDTpk0YO3asQeOTy+UQiUQoLy9nx0QIIdZSW6/Ewv+dwe6zMtQoaNnGGON7h+P7E38b9ZzPx8aA787FjC2ZAKyfIE0M80iHAGye3Nesexjz+W3yzr3a2lps2bIFkydPBofDQU1NDTgcDvj8B1ONAoEAXC4Xhw4dAgBIpVL4+vqyQRAAJCQkgMvl4tixY2ybQYMGsUEQACQmJuLSpUsoLS1l2yQkJKj1JzExEVKpFACQn58PmUym1kYkEiEuLo5tQwghttZ4e/trKafQYfFv+N/pWxQEmcDYIAho2FmobZnVCSYWHRLPjWN2EGQsk5Old+zYgbKyMkyaNAlAw4yMt7c35s+fjw8++AAMw2DBggVQKBQoLGwoTy6TyRAcHKzeAXd3+Pv7QyaTsW0kEolam5CQEPaan58fZDIZ+1jjNo3v0fh5mtpoUlNTg5qaGvZ7uVxu0M+CEEKM5cintzsDsZDP7ixULbMezSvGt4evYu/FO9ByFiuxsloFg7TswhbN8zN5Rmjjxo0YPnw4wsLCAABBQUHYtm0bdu3ahVatWkEkEqGsrAyxsbFsfpC9W7lyJUQiEfsVHh5u6y4RQpyQI5zebi2+nvaxWTmpWyiO55dAoWRQW6/E29vOYPzGY9jbJCfLXnHQkN8kFvLhbJNXy3flaDzw11pM+hd57do1ZGRkYPv27WqPDx06FHl5ebh79y7c3d3h6+sLsViMdu3aAQDEYjGKiorUnlNfX4+SkhKIxWK2TdOdZqrv9bVpfF31WGhoqFqbmJgYreNauHAh5s2bx34vl8spGCKEmEzb+VX2fnq7tbTiueH5uDb46s+rtu4KNh4uwMbDBbbuhskYAEuSOgPg4NWUTFt3x6IaH5HTEkwKhJKTkxEcHIykpCSN1wMDAwEA+/btQ1FREUaNGgUAiI+PR1lZGU6dOoVevXqxbZRKJeLi4tg2ixYtQl1dHTw8PAAA6enp6NixI/z8/Ng2e/fuxZw5c9jXTE9PR3x8PABAIpFALBZj7969bOAjl8tx7NgxzJgxQ+u4+Hy+Wo4TIYSYSvv5VeEuORMEAPdrFXYRBDmLt34+C46zTQf9w9CjdCzB6DUrpVKJ5ORkTJw4Ee7u6nFUcnIyjh49iry8PGzZsgXPPPMM5s6di44dOwIAOnfujGHDhmHq1Kk4fvw4Dh8+jFmzZmHs2LHsEtvzzz8PHo+HKVOm4Pz58/jxxx/x+eefq83UzJ49G2lpafj4449x8eJFvPPOOzh58iRmzZoFAOBwOJgzZw7ee+89/Prrrzh37hxefPFFhIWFYfTo0ab+rAghxCDalr4azq+iembEMipqFbhf45y1pAw9SscSjJ4RysjIwPXr1zF58uRm1y5duoSFCxeipKQEERERWLRoEebOnavW5vvvv8esWbPw+OOPg8vlYsyYMVizZg17XSQS4Y8//sDMmTPRq1cvBAYGYunSpWwNIQDo168fUlJSsHjxYvz73/9GVFQUduzYwdYQAoC3334bFRUVmDZtGsrKyjBgwACkpaVRDSFCiFUplIzWpS9XXA4jxFihGo7IsSaz6gg5O6ojRAgxljSvGOO+OWrrbhDisNZboDp8i9QRIoQQZ9a4xo80r9jgXSzG5DY4aXoHIVq14rth7dgY+Hp5NLvm5+VhkSDIWPaxj5EQQuyItkTnZSOj9b5JG5rbMDehA7aeuG53idNdw4QQiwSIk/hjYj8JMnJkmPnDadDaAfHiuZl9vt39GgUW/3oeE+La4NS1UhTKqxEm8sS0Qe0wICrIJkfkUCBECCGNqBKdm37uy8qrMWNLpt5DXftI/PWeX+XDd0P2zTKEivh2FQiFigTYOWuA2oeRnzefgiACwHLVtssq6/DF/jz2+/y7lThytRjTBkqwsAXPGFOhpTFCCPmHIYnO2oq9qZbSdp+9hbG9w3UmRt+rUSD9QhEyr5dbotsWs2xkdLO/yFtyGzOxb/drFPD35ulvaAKGAb4+kI+VqTlWub8uNCNECHFamgoa6pp6P55fonOGhoHmYm+altK8eW6oMHMZoSXNTeigcabL3G3Mnh5cvNxfgm2ZNxpOfCd2ydB/r6NjwpB8uMBqOyC/OZiPN4Z2As+95eZpKBAihDglU/J8DJ39aNxO21KaIwVBYiEfswZHarxWWmFe8FJVp8TPp29i6RNd4MN3x48nCpBx8Q6q62m9zV4IPLhYP74XJiQf19t2SLQYHm4cfH0g3yp9UTLAd9ICTBnYzir314QCIUKIw2s681NaUYOZKaeNzvMxdPZD1a68sg6zUpoHQY5CNTf2zqguGmfKFEoGK/ZcMPt1Csurne4YCGdSXacE142jM7eNA0AsEqBXWz/M+P6UVftzraTSqvdvigIhQohDaRz0BHrzcaKgBJuOFKCsqo5tw+VoLl7IoOENffmuHAyJFjf78NeX6MwBECIUYHvmdTz/zVGHDYBU/L15eDImDCJPHhRKptnPQ99SIXEeP524jh4PibT+92YAVNXUodeKP3DPytWs2/p7WfX+TVEgRAhxGJqWuzTRVfJHU56PQsngaF4xpFfvIibcF7+Vy7Q+VyavxrZTt0wcgeV4e3Ax87FIiEWemLftjPHP57mhuKIW3x4uwLeHC+Dv7YGnYlojIVrM5lJRorTr2HmmUG+bsmrrL/dyOcCE+Airv05jFAgRQhyCtlwcU6k+5NOyC7Fg+zmUVdbpeYb94ACorFOiXXAriDxN28XTNIeppKKOPZFdFRSF+XpaoLeEGG7qQEmLJkoDFAgRQhyArm3tpgr2ESAtuxCvbHG83JXGS3x/vfWY3rpFxlIFRUDDX+gGFtUmxGQcDmxWR4gCIUKIXdC11d2SuSqNkz4HrMqwyD1tQbXEd6KgBGN7t8GnGZet8joUBBFr8eByEB3mgye6t8bEfhEtPhOkQoEQIcQmGgc+BXcr8cPx65DJNW91t2SuCgMgwt8THRb/ZrF7mquzuBUejvBH7zZ+WPn7JaOCvpnfZ6olihNirzw9uHi0YzDaB3kjvl0g+rYPsMmRGk1RIEQIsTqFksHRq8WQ5hUDYODG5eLHE3+rBT5NNd7qbm5Rv6ak+aUWvZ+xOAB8Pd2xalQ3JPQIVfswSIppjeP5JTh85Q7WNjqGQBsKgogj8PNyx7F/D7HZrI8uFAgRQqxGoWSwdl8uvj5w1ejDGq2dB9PSvHlczBochSkD2un8MHDjchDfPgB9JP74X+ZNhx4zIUDD7/HKp7vbZRAEUCBECLEQ1Rb0I1fv4lZpFarqFDh0pRj3a+pNvqcqD+bUtVIsGxmNGVsywYHmGkH2yNfTDUO7iLF8VDd48tyMeq4bl8OOmRB7xwEQ29YXN0ur1I5S0VfN3R5QIEQIMZu1t6AX3avGkzGtse6FWIPqCNnSQ7587Hn9EYi8PMy+17Cuofjy+VjMdODq1cR5uXOBAZGBGBgVhAnxDcnOxp7vZw8oECKEGEyhZHDo0h1sOHQVt8qqwABoxeci+9Z9q76uKkeoT0QAvD24drelO8DLHavH9MCjnUMs/qafW3SfgiBid14fHInZCR2a/XtXLe06EgqECCE6qf7CS8+R4TvpNdS1YATScKQFHz+fvIZx3xxtsdc1RqhIgEPzBxsdABnyl7NCySD5sHUOtyREHy4HcHfjorZeyT6maanLEWeBGqNAiBCiVerZW1i8MxslFbbZmdRwpEUN/ndaf/l/W2l6XEdj2j4gNB0VoukD5nh+Ce0KIzaR1E2MNeNiAaDZv2EAkOYVo+heNfLvVGCztACljZbFHSEvqDEKhAghGq1MzcHXB1x7NsKNAygMmAArLKvCxoNXca2kEm39vTAhPgL7Lt7WGOyM6hGKDQfymy13NS4XoPoAobO+SEvx9uCgT7sA9GsfiIn91I+5aHwm39p9V5B8OF9ngF6o4d+yPeMwDEPLz1rI5XKIRCKUl5dDKBTaujuEtJjUs4V4NcU1dyv5ebrj5UESTB0YiVPXSg1akmu6k43DAUx5Z1VVvT40fzAAYMP+K/gw3ToVowkBAKHAHcf+naB3V6MpGyJMXTa2BGM+v2lGiBCiRqFksHhntq270aLCffl4Z2TXZsnOfST+BtUvanrN1D8vVeUC5v98Btszb0Kp9xnEWtwAWP+sddtR/Stf/a/ubBCkaynXlDP5dC0b2xMKhAghao7nl6CkotbW3bAqbw8uZg6OxMsD2+stbmiL+kU/Z95soVci2gh4XFTUOm8oKm6Sx5N6tvCffMAHv/tioQBLn4jGij05Jr+OIyzvUiBECFHjCG9cpugS6oPRPR8y+nDHYV1Dse6FWKvWSSL2p6JWCR+BO+5Vm14Q1JZ8PT3U8nhCRQKM7d0GEYFezXZ2acsHlMmrzV4it/TxONZAgRAhRI0jvHEZKjKAjyWjumNAVJDWPIXaeiW+kxaoJTo3DZSGRIvxzq/nW6LLxI44YhCk2rE1JFqscbeX6rHj+SXoI/HH79mFVtsUEeDNY1/XnlEgRAhRo8qLsefqzYYIFQnw+xu6EzVXpubgm4P5asUZ30+9gKkDJVg4Ipp97Hh+idqxAYTYk7kJHTTO9MS3D2AD/fV/5SHzeqlacCcW8nGv2nqznCue7OoQ9YQoECKEqGmcF+OIW0pVb7vLRkbrDYI0/SWsZMA+rgqGnHW5kDgGP08P1NYrUFGnnrOkr16PpkC/MWsG99MHSTCiu/1vnQcoECKEaKDKi1n263nctsOZEA9OwwGPvSUB+PnUDbU39KZJoJrU1ivxzUHdywHfHMzHG0M7gefOdarlQmfn6+mOsirHW9LSZupACRYlNQTkxlRwtkYdMEM2DPh7e+C9J7tiRPcwi762NVEgRAhRo3qz/WJvrl0FQV1DvfH91P7NDjOdO6Sj2odDr7Z+OHWtFDuzbmr9sPhOWqD3rDIl09BuysB2Bm+jJ7b3fJ+22Hryus2qoZvLh89FqMgLT/dsjckD26nlq7lxOegj8f9nqbYamw7nw9+bB7HIU+3fuSGBvrFmPx6Jn07eUFsy9/X0wKR+Eegd4Y+7FTUOebwGQIEQIaQRWx+p0dST3cX46Nmeere4q+qUpGUX4pGP9us9uuJaSaVBr69q58blYNHwTpi1NcuEUZCW9NVfebbugsm+GNcTI3ton0lJyy7EO7/mQCZvvlTb+N+5IYG+MXy9PPD64x3w+uMdHPpMMW0oECLEhTWeak/PuY3dZ+3nTC8OgOPXygx+o03LLtSY16Tp6Iq2/l4G3TPzWin+te4wSitrkXfHsOCJEGP5eXlg5dPdNC7nNj70+NvDBVrv0fhYC0MDfUOterqbWgK2s6FAiBAX0jjwKbhbgR+OX7fb3VCqKsuNK9Nqy5FQKBks35WjcdmKQUNQtXxXDoZEi+HG5WBCfATeT72g96/m7FtyC4+KkAd8PT3wUv8IzBocpTHg13Q4ry4MGv6dT+4fYXAfOEDDcjODZueH+Xq6Y9WY7g5xXpg5KBAixEUY+6ZqL1Q7tnSd2C7y5OkclyqoOppXDC6Xg6J71UjqJsauszJrd5+4uKYJxgHePDwZE4Yh0WKdS0vaZjj1KSyvRiexEFwO9Ab6qlde9XQ3DIkW42heMaRX7wJoWG7u2y7AKZa+9KFAiBAXYOqbqj0I9hHoXfaa1K+tQfeamZKp9levoafLE2IsVfjw5fOx8PPmaZzF1JZvo2uG0xAllbWYOlCid9dY0x2W/aMC0T8q0MRXdVwUCBHi5Mx9UzWVxJ+P53pHYPLAdgaf4t6Y6iT2Xm398MhH+7UuewHAJuk1g+7ZdOqfgiBiLbrKOOia3RzWNRTH80vMmrkN9hHgyRGtAaBZHSEOgMGdgvDywPZOk+xsLsMP3AEQEREBDofT7GvmzJkAAJlMhgkTJkAsFsPb2xuxsbH43//+p/ceq1atUmtz9uxZDBw4EAKBAOHh4Vi9enWzvmzbtg2dOnWCQCBAt27dkJqaqnadYRgsXboUoaGh8PT0REJCAnJzc40ZLiFOwdw3VUNFBnphQWJHXH5vOApWJWH/2wl45bFI8Ny57PZzQ99yGxdFPHWtVG//TT3tndiGwJ1r8L8FR+Lv7YEp/SPww9S++OutxyDy5GFn1k1I84qh+CcaUc1uNv03rZrdTMsuNKuAZ6jowXEaC0dE4+KK4ViS1BkvxrfFkqTOuPTecGyc1Afx7V1j2csQRs0InThxAgqFgv0+OzsbQ4YMwTPPPAMAePHFF1FWVoZff/0VgYGBSElJwbPPPouTJ0+iZ8+e7PPeffddTJ06lf3ex8eH/f9yuRxDhw5FQkIC1q9fj3PnzmHy5Mnw9fXFtGnTAABHjhzBuHHjsHLlSjzxxBNISUnB6NGjkZmZia5duwIAVq9ejTVr1mDz5s2QSCRYsmQJEhMTkZOTA4GAiqMR12HNqsiPRgVg7fiH0Uqg+63E2FPcG/81vTOLTmJ3NuPj2qBXW3+zD/S0ldmPR0GhVELJAH5ePAT68CEWPlje0lbGYUlSw0nu+pL6//NMD5P6xUHziuo8dy6mDGxn0v1cBYdhTP9bas6cOdi9ezdyc3PB4XDQqlUrrFu3DhMmTGDbBAQE4MMPP8TLL78MoGFGaM6cOZgzZ47Ge65btw6LFi2CTCYDj8cDACxYsAA7duzAxYsXAQDPPfccKioqsHv3bvZ5ffv2RUxMDNavXw+GYRAWFoY33ngDb775JgCgvLwcISEh2LRpE8aOHWvQ+ORyOUQiEcrLyyEUCo3++RBiD6R5xUYvS+kiCfDCjpkDmhU2NIS2JYElSdEa8yis0X9iHetfiIXIk2fQf6tZj0Wif2QgSitqMPenM6ipV+p9jj3w9fLAKi3b3FW05bMZ8geAyvdT4vDmz2eMKuCpawu+KzLm89vkHKHa2lps2bIF8+bNA4fT8IbVr18//Pjjj0hKSoKvry9++uknVFdX49FHH1V77qpVq7BixQq0adMGzz//PObOnQt394auSKVSDBo0iA2CACAxMREffvghSktL4efnB6lUinnz5qndMzExETt27AAA5OfnQyaTISEhgb0uEokQFxcHqVSqNRCqqalBTc2DrcRyOW2dJY7PnKrIXh5cRIa0QrvAVhjT8yH0iwo0azp9WNdQjadi67onVXW2b423WCuUjEH/rdbuv4K1+6/A35uHPhF+OHiluMX6awpvnhumDWqPWYMj4cblsAeZXiupRFt/L0yIjwDPnau3jIOh7lbUGDyDKhK4Y/IAidYt+EQ/kwOhHTt2oKysDJMmTWIf++mnn/Dcc88hICAA7u7u8PLywi+//ILIyEi2zeuvv47Y2Fj4+/vjyJEjWLhwIQoLC/HJJ58AaMgzkkgkaq8VEhLCXvPz84NMJmMfa9xGJpOx7Ro/T1MbTVauXInly5cb+ZMgxL4ZsywlFvIxrk8bRAR6W61ybONK0Ia2N2ZZjbSsL8f3Qv/Ihp1Gxv63KqmotasgaG5CFNr4e+Hu/RqUVdWBAw7iJP7gcjgoul+DTYfzcejKXfx5+Y5aXtr7qRcwdaAEj3YMsUg+XrCPAPHtA7DuhdhmM6gt8TvqakwOhDZu3Ijhw4cjLOxBOfAlS5agrKwMGRkZCAwMxI4dO/Dss8/i4MGD6NatGwCozeR0794dPB4P06dPx8qVK8Hn880YivkWLlyo1j+5XI7w8HAb9ogQy1AdoqppWWps7zaICPSy6zdVbf03pFYKsS5p3l3cvf/gnClt/63smbZT3NOyC/H2/87qHYeSAb4+kI8rRffN6odqp6Qq2dmUGVRiPJMCoWvXriEjIwPbt29nH8vLy8PatWuRnZ2NLl26AAB69OiBgwcP4ssvv8T69es13isuLg719fUoKChAx44dIRaLcfv2bbU2qu/FYjH7v5raNL6ueiw0NFStTUxMjNZx8fl8mwdjhFiLo7+paup/aUWtwybcOou1+x+c7dU4oBjcKQT/3n4WO7Juwt5SgOY8HtXsoFCgIR+t8b+tmSnG1d7ad/GOwW2bzpg13inZ+HfS2BlUYjyTAqHk5GQEBwcjKSmJfayysuFsEy5XfUe+m5sblErtvwVZWVngcrkIDg4GAMTHx2PRokWoq6uDh0dDMmZ6ejo6duwIPz8/ts3evXvVEq7T09MRHx8PAJBIJBCLxdi7dy8b+Mjlchw7dgwzZswwZciEOAVHf1PV1P9/XWyNnzNpZ5mpeABqLXQv1RbwaYMk+PHkDZRV2vbwXi6Axp8+mmZ+FEoGa/flIvlwgVqdKS7H+GVYBoCPwB33q+s1Plc147MkqTNW7LmgvuSlo+4QsS6jAyGlUonk5GRMnDiRTXAGgE6dOiEyMhLTp0/Hf/7zHwQEBGDHjh1IT09nd3dJpVIcO3YMjz32GHx8fCCVSjF37ly88MILbJDz/PPPY/ny5ZgyZQrmz5+P7OxsfP755/j000/Z15o9ezYeeeQRfPzxx0hKSsLWrVtx8uRJbNiwAQDA4XAwZ84cvPfee4iKimK3z4eFhWH06NHm/LwIIXbmg6e7UyBkpF2vDkC3NiIAD85vk8mrsWL3eZRUmB68qD789VU0tpbWIgGiw4ToIwnAxH4RcONydM6ApmUXYsH2cxoDNlOXXGPb+OHA5Ts6Z3yGdQ1F4j+FEx1xdtbZGL19/o8//kBiYiIuXbqEDh06qF3Lzc3FggULcOjQIdy/fx+RkZF488032e30mZmZePXVV3Hx4kXU1NRAIpFgwoQJmDdvntqS1NmzZzFz5kycOHECgYGBeO211zB//ny119q2bRsWL16MgoICREVFYfXq1RgxYgR7nWEYLFu2DBs2bEBZWRkGDBiAr776qlmfdaHt84Q4hpWpOTb78HUUn/2rB0Y//JDW645YpoADoHOYD8b0fIjduWUoax07sySpM1r7eeqsHE2sz5jPb7PqCDk7CoQIsW+q2Yz0HBm+O3oNdXRmhkbTB0mwcES0zjY7s25i9tYsvfcaGh2MP3KKLNQz43A5QFyEP6LEPmrb1o2lUDIY8OE+iydzcznAxRXD2a30NONjOy1SR4gQQmxJU3FGV+XlBgztEgJpfilu33uQ8ePv7YH3nuyKEd3DdDy7QbCPYRX34yQBLRoICTy46Cvxx8CoIJMDn6asdezM1IEStn+Ono/nSigQIoQ4HGstaziStiIPjI2XYMqA9uyHrzmzEKrClboChFCRABPiI/B/h/KtVuCSwwFiHvJF/8gAxLcLRF8rnIll6WNnuJyGIEjfrBuxTxQIEUIciq7qva4guJUHpP8eojE4MGcWwo3LwageoTpzrUb1CAXPnau1aKIpBS89PbjoHeGPNgFekAR4W2zWRxdDZ78A7bWqfARu6NXGz6IzVcQ2KBAihDgUSy1rcACIvDwgcHeDTG7/y2uqsOfd0d2skmuiUDL49Uyhzja/ninE28M6ay2aKBYJMKpHKDb8E0xpC4r47lwM7hSEF+IirDLjo48xx7asHdcTft58yOTVKLlfA39vHsQiT8r5cSIUCBFCHIolljVUH1/j49pg+6kbZt/Pkvw93dGltQiXZHIU3X+wrdvfm4cnY8Ig8uRBoWQs/iFsSIBZWF6N4/kliG8foLNAZ882fs2CpFZ8dwyMCtAb/LREkrEhR4EYcsAqcQ4UCBFCHIoxyxoqTT/seG4c1CgYfNmoKrKtjYltjZVPd1fL9zmaV4zvjxXgr9y7KK6oxbeHC/Dt4QKrbMU2NMBs3E7bUpypVcw1JcBba9u5tlktXy8PvNRPwh6wSpwfBUKEEIdiymn0YUI+bspr2O9r7GybPQfAkbxitQ/e9ByZ1mJ/qgrO616ItViAYGiAaWg7Q/KVGs/+FNytxGcZl5v9N7XGWFUc/dgZYhkUCBFCHIobl4MlSZ3xasppg5/TOAiyBTcOoCv2YqC+7KRvVxyDhuBp+a4cDIkWW+SDW1+A2fRAUHMZWv7AGmNtjLa5E0pzJ4Q4lLTsQqzYc0HjNXv6O54DYELfNrjw7jB88lyMQc8puldt8K64xsGTJajyZoDmP0dtB4KaShXoGZr0bumxkpahUDKQ5hVjZ9ZNSPOKoTD13BIroxkhQojDMGSmxJY4AEJFfOycORBBwgfHBhmz7GTsrjhL1sTRtRvMUnk65pQ/sHT9H2IYUxLYWzLfy1wUCBFCHIK91g9q6yfA+L4RmNRforWWjDHLTrvP3jLq9U1JHtfF2nkz5pQ/sPRYiX6mBDTa/mCxZr6XOSgQIoQ4BGsdi2CsVnw3vNC3LQZGBaFvO8Nq4Ojart102cmYD/tQC+bsNGbNvBlTZnUsnZ9EDGNKQKPrDxZr53uZinKECCEOwR6KHga38sCZZYlYMLwz+kcGGvVGrlp2EovUAx2xSKD2gaKaPTLkzpbK2WlJxs7qWDo/iRhGX0ADNAQ0TfN+9P3BYo/5XjQjRAhxCHfv2W7nl6WqOhuy7OTsxf6MLX9gyfwkYjhjAprGs4em1KOyNQqECCEOobTSuoFQuJ8ASd3CIPDgYuuJvyFrtOXekh/Ghiw7OXOxP33LhAyAuQlRiAj0pro+NmRqQGPpelQtgQIhQohD4HIsv5If1IqHz8b2bJbr89rjHWxeZM+Zi/21xO40Yh5TA5qWrkdlCRQIEUIcQnz7AKzdf8Xs+3AADOwQgK+efxitBJrfAu2lyJ699MManDnQcwamBjTGbAywFxQIEUIcQt92AfD18tB45IQufHcOBkYGIq5dACb2077FnbQ8Zw70HJ05AY2jzfhxGIaxt7IcdkMul0MkEqG8vBxCodDW3SHE5aVlF+KVLZl624UK+ejaWoRPn+upddaHEKKfOYURTSnEaCnGfH5TIKQDBUKE2J+07EK882uO2nZ6LoDYNr6YndAB/Yzc1k4I0c2WAY2pKBCyEAqECLFPjvjGTAhpOcZ8ftOcMSHE4VBuCSHEUihrkBBCCCEuiwIhQgghhLgsWhojhBBCLIBy1xwTBUKEEEKIGRRKBmv35SL5cAHKqh7UuTJ0mzmxLQqECCGEECM0nvkpuFuJ5MP5agGQiqy8GjO2ZGLdC7EUDNkxCoQIIYQQHWrrlfj20FVsz7yJonvVuFddD4UBhWdUTZbvysGQaDEtk9kpCoQIIYSQJmrrldh8pABbjl3DteJKs+5VWF6N4/klVPLBTlEgRAghhKBhyevo1WL85/dLOP13mUXv/cd5GQVCdooCIUIIIS6h6a6uXm39cCK/BEeu3sWJ/FJk/V2KWkPWvEyQfKQAce38KVfIDlEgRAghxOlpOjy06anq1ka5QvaJAiFCCCFOq7ZeiYXbz+J/mTebXWvpgzYpV8g+USBECCHE6dTWKzHx26OQXi21dVfUFN2r1t+ItCgKhAghhDi0prk/+y7exv8dzG/xGR9DBPsIbN0F0gQFQoQQQhySqqLzt4cLUK6hoKG9CRU1HLtB7ItRh65GRESAw+E0+5o5cyYAQCaTYcKECRCLxfD29kZsbCz+97//qd2jpKQE48ePh1AohK+vL6ZMmYL79++rtTl79iwGDhwIgUCA8PBwrF69ullftm3bhk6dOkEgEKBbt25ITU1Vu84wDJYuXYrQ0FB4enoiISEBubm5xgyXEEKIHVEoGUjzirEz6yY+z8hFr/fS8WlGrkMEQQCwbGQ0JUrbIaMCoRMnTqCwsJD9Sk9PBwA888wzAIAXX3wRly5dwq+//opz587h6aefxrPPPovTp0+z9xg/fjzOnz+P9PR07N69GwcOHMC0adPY63K5HEOHDkXbtm1x6tQpfPTRR3jnnXewYcMGts2RI0cwbtw4TJkyBadPn8bo0aMxevRoZGdns21Wr16NNWvWYP369Th27Bi8vb2RmJiI6mpanyWEEEeTll2IAR/uw7hvjmL21ix8mnEZZZWOEQDx3blYT8ds2C0OwzAmL6POmTMHu3fvRm5uLjgcDlq1aoV169ZhwoQJbJuAgAB8+OGHePnll3HhwgVER0fjxIkTePjhhwEAaWlpGDFiBG7cuIGwsDCsW7cOixYtgkwmA4/HAwAsWLAAO3bswMWLFwEAzz33HCoqKrB79272dfr27YuYmBisX78eDMMgLCwMb7zxBt58800AQHl5OUJCQrBp0yaMHTvWoPHJ5XKIRCKUl5dDKBSa+mMihBBioNp6Jb6TFuBaSSXa+nthQnwE9l28jRlbMu0y58cQfl4eOLl4CM0GtSBjPr+NmhFqrLa2Flu2bMHkyZPB4TT8x+3Xrx9+/PFHlJSUQKlUYuvWraiursajjz4KAJBKpfD19WWDIABISEgAl8vFsWPH2DaDBg1igyAASExMxKVLl1BaWsq2SUhIUOtPYmIipFIpACA/Px8ymUytjUgkQlxcHNtGk5qaGsjlcrUvQgghLWNlag46LfkNK/ZcwH+l17BizwV0WvIbXt962mGDIAAorazD0avFtu4G0cLkQGjHjh0oKyvDpEmT2Md++ukn1NXVISAgAHw+H9OnT8cvv/yCyMhIAA05RMHBwWr3cXd3h7+/P2QyGdsmJCRErY3qe31tGl9v/DxNbTRZuXIlRCIR+xUeHm7Qz4IQQoh5Vqbm4OsD+VA2iXiUDFBb78hhUIOXN5+wdReIFiYHQhs3bsTw4cMRFhbGPrZkyRKUlZUhIyMDJ0+exLx58/Dss8/i3LlzFumstS1cuBDl5eXs199//23rLhFCiFNpnPAszSuGQsmgtl6JDQfzbd01q6qqU6Lkfq2tu0E0MGn7/LVr15CRkYHt27ezj+Xl5WHt2rXIzs5Gly5dAAA9evTAwYMH8eWXX2L9+vUQi8UoKipSu1d9fT1KSkogFosBAGKxGLdv31Zro/peX5vG11WPhYaGqrWJiYnROi4+nw8+n2/wz4EQQojhNB1z4e/Nw6NRgTA9W9VxjN1wBH/Me9TW3SBNmDQjlJycjODgYCQlJbGPVVZWNtyQq35LNzc3KJVKAEB8fDzKyspw6tQp9vq+ffugVCoRFxfHtjlw4ADq6h7sBkhPT0fHjh3h5+fHttm7d6/a66SnpyM+Ph4AIJFIIBaL1drI5XIcO3aMbUMIIaTlpGUXYsaWTLUgCABKKmqxPeuWjXrVsoru0YyQPTI6EFIqlUhOTsbEiRPh7v5gQqlTp06IjIzE9OnTcfz4ceTl5eHjjz9Geno6Ro8eDQDo3Lkzhg0bhqlTp+L48eM4fPgwZs2ahbFjx7JLbM8//zx4PB6mTJmC8+fP48cff8Tnn3+OefPmsa81e/ZspKWl4eOPP8bFixfxzjvv4OTJk5g1axYAgMPhYM6cOXjvvffYrfwvvvgiwsLC2L4QQgixnsZLYAcv38Gb2846dMKzJQT78PQ3Ii3O6KWxjIwMXL9+HZMnT1Z73MPDA6mpqViwYAFGjhyJ+/fvIzIyEps3b8aIESPYdt9//z1mzZqFxx9/HFwuF2PGjMGaNWvY6yKRCH/88QdmzpyJXr16ITAwEEuXLlWrNdSvXz+kpKRg8eLF+Pe//42oqCjs2LEDXbt2Zdu8/fbbqKiowLRp01BWVoYBAwYgLS0NAgGVNyeEEGtKPXsLi3dmo6TCMer8tJSt0/rZugtEA7PqCDk7qiNECCENmp7n1Ufiz9bFUSgZHL1aDGleMQ5fuYPTf5fbuLf2J6gVDycWD7F1N1yGMZ/fdNYYIYQQnTQlOYeKBFg2MhoAsGD7OYep8mwLIk93CoLsGAVChBBCtEo9ewuvppxu9risvBqvbMm0QY8cS5C3B44uoiDInplcR4gQQohzSz1biFk/NA+CALh84rMhOABWPNWNjtawczQjRAghpJm07EK8mkIzPqZSLR3SQav2jwIhQgghahRKBst35di6Gw7psY5BmDaovVoyObFvFAgRQghRczy/pFnhQ9JAFdp8+XxP+PA98L/TN1BZq0DvCH9M7BcBnjtlnDgaCoQIIYSoKbpHQZA24iZLXgM7Btm4R8RcFAgRQghRE+xDhWdVQkUCjO3dBhGBXs3qJxHnQIEQIYS4CH1FEY/nl0Amr8bde9Xw5ruhokZh4x63PHcu0K99IJ6MaY0wX08KfFwABUKEEOLEVAFORo4Mv2TdVDv2onFRxKYFE12NWMjHR2N6oF9UIAU+LoYCIUIIcVKaKkI35upFEd05QL/IQHw94WF48txs3R1iIxQIEUKIE0rLLsSMLZk6Cx+6UlHEAG8eXnmkPUora8DlcBHfPgB92wXQ7A+hQIgQQpyNqg6QKwU6ujzeKQgbJ/WxdTeInaJAiBBCnIyr1gHiuXGQ1C0U52/JUadUIr5dAJY80YWWvYhOFAgRQoiTccU6QA+39cWP0/vRUhcxGgVChBDiZFylDhCXA/RvH4ANL/amWR9iMgqECCHEyfSR+CNUJICsvNpp8oQ83DhoH+iNjmIhWvt5on9kICU7E4ugQIgQQpyMG5eDZSOjMWNLJjhw7N1hfHcOXn00ErMGR1HQQ6yCAiFCCHFCw7qGYt0LsQ5XKJEDoE2AF2LDffF07EPoF0kFDol1USBECCFOaki0GD4CD0jzirFZmo971fZ1ZEaANw9P9AiFUtkwZxUR4I0J8XSCO2lZFAgRQogT0ldV2lbmJkQhItCbDjAldoMCIUIIcTKGVJVuab5eHlj1dDcM6xpq664QooYCIUIIcSL2UlXam+eGLmFCPBzhh/7tg9C3Pe3wIvaJAiFCCHEitqoq/dXzsfDz5qHoXjUtexGHQoEQIYQ4kZauKu3Fc8Mnz/agJS/isCgQIoQQJ2JqVekX4sKx5djfOttwAMRJ/CH09IAXzw1jej6EflG0vZ04NgqECCHEiZhaVTqpe2sMiArCgu3nUFZZp3aN58bBqB5h+ODp7rS1nTgdCoQIIcSJmFJVOlT0IKdnSLQYR68WQ5pXDIBBfLtASnQmTo0CIUIIcTLGVJXmAFg2MpoNdNy4HPSPDET/yMAW6CkhtkeBECGEOKFhXUMxJFqM4/klKLpXjYK7Ffjh+HXI5DVsm1CRAMtGRlOiM3FpFAgRQoiTcuNyEN8+gP1+1uAoNjCiLe6ENKBAiBBCXETTwIgQAlD6PyGEEEJcFgVChBBCCHFZFAgRQgghxGUZFQhFRESAw+E0+5o5cyYKCgo0XuNwONi2bRt7D03Xt27dqvY6f/75J2JjY8Hn8xEZGYlNmzY168uXX36JiIgICAQCxMXF4fjx42rXq6urMXPmTAQEBKBVq1YYM2YMbt++bcxwCSGEEOLkjAqETpw4gcLCQvYrPT0dAPDMM88gPDxc7VphYSGWL1+OVq1aYfjw4Wr3SU5OVms3evRo9lp+fj6SkpLw2GOPISsrC3PmzMHLL7+M33//nW3z448/Yt68eVi2bBkyMzPRo0cPJCYmoqioiG0zd+5c7Nq1C9u2bcNff/2FW7du4emnnzblZ0QIIYQQJ8VhGMaYKuxq5syZg927dyM3NxccTvMtmD179kRsbCw2btz44AU5HPzyyy9qwU9j8+fPx549e5Cdnc0+NnbsWJSVlSEtLQ0AEBcXh969e2Pt2rUAAKVSifDwcLz22mtYsGABysvLERQUhJSUFPzrX/8CAFy8eBGdO3eGVCpF3759DRqfXC6HSCRCeXk5hEKhQc8hhBBCiG0Z8/ltco5QbW0ttmzZgsmTJ2sMgk6dOoWsrCxMmTKl2bWZM2ciMDAQffr0wbfffovGsZhUKkVCQoJa+8TEREilUvZ1T506pdaGy+UiISGBbXPq1CnU1dWptenUqRPatGnDttGkpqYGcrlc7YsQQgghzsvkOkI7duxAWVkZJk2apPH6xo0b0blzZ/Tr10/t8XfffReDBw+Gl5cX/vjjD7z66qu4f/8+Xn/9dQCATCZDSEiI2nNCQkIgl8tRVVWF0tJSKBQKjW0uXrzI3oPH48HX17dZG5lMpnVMK1euxPLlyw0ZPiGEEEKcgMmB0MaNGzF8+HCEhYU1u1ZVVYWUlBQsWbKk2bXGj/Xs2RMVFRX46KOP2EDIlhYuXIh58+ax38vlcoSHh9uwR4QQQgixJpOWxq5du4aMjAy8/PLLGq///PPPqKysxIsvvqj3XnFxcbhx4wZqahrOvxGLxc12d92+fRtCoRCenp4IDAyEm5ubxjZisZi9R21tLcrKyrS20YTP50MoFKp9EUIIIcR5mRQIJScnIzg4GElJSRqvb9y4EaNGjUJQUJDee2VlZcHPzw98Ph8AEB8fj71796q1SU9PR3x8PACAx+OhV69eam2USiX27t3LtunVqxc8PDzU2ly6dAnXr19n2xBCCCGEGL00plQqkZycjIkTJ8LdvfnTr1y5ggMHDiA1NbXZtV27duH27dvo27cvBAIB0tPT8cEHH+DNN99k27zyyitYu3Yt3n77bUyePBn79u3DTz/9hD179rBt5s2bh4kTJ+Lhhx9Gnz598Nlnn6GiogIvvfQSAEAkEmHKlCmYN28e/P39IRQK8dprryE+Pt7gHWOEEEIIcQGMkX7//XcGAHPp0iWN1xcuXMiEh4czCoWi2bXffvuNiYmJYVq1asV4e3szPXr0YNavX9+s7f79+5mYmBiGx+Mx7dq1Y5KTk5vd64svvmDatGnD8Hg8pk+fPszRo0fVrldVVTGvvvoq4+fnx3h5eTFPPfUUU1hYaNRYy8vLGQBMeXm5Uc8jhBBCiO0Y8/ltVh0hZ0d1hAghhBDH0yJ1hAghhBBCHB0FQoQQQghxWRQIEUIIIcRlUSBECCGEEJdFgRAhhBBCXBYFQoQQQghxWRQIEUIIIcRlUSBECCGEEJdl8unzhBBCCGmgUDI4nl+ConvVCPYRoI/EH25cjq27RQxAgRAhhBBipMaBT8HdCvxw/Dpk8hr2eqhIgGUjozGsa6gNe0kMQYEQIYQQYoS07EIs35WDwvJqrW1k5dWYsSUT616IpWDIzlGOECGEEGKgtOxCzNiSqTMIAgDVIZ7Ld+VAoaQjPe0ZBUKEEEKIARRKBst35cDQsIYBUFhejeP5JdbsFjETBUKEEEKIAY7nl+idCdKk6J7xzyEthwIhQgghxACmBjTBPgIL94RYEgVChBBCiB4KJYOiRrvCDMXlAL3a+lmhR8RSaNcYIYQQokNadiEWbD+Hsso6o5+rZIBT10oR3z7ACj0jlkCBECGEEKJFWnYhXtmSadY9KEfIvlEgRAghxKVpqwqtUDJ459ccs+9POUL2jQIhQgghdqOljqpQvU56jgw7sm6hpKKWvaaqCi3y5EEmN302hwNALGoYA7FfFAgRQgixC5oqNlvjqAp9laFVVaEn948w+7WWjYymM8fsHIdhGCp5qYVcLodIJEJ5eTmEQqGtu0MIIU5LVbG56QeSKoQw9qgKhZLB0bxiSK/eBcBBfPsA9G0XgPQcmcbXaYoDwM/bAyUVxidIA4C/twfee7IrRnQPM+n5xDzGfH7TjBAhhBCb0lWxmUFDULJ8Vw6GRIu1zq7U1iux+Ug+ThSUoqyyDudvlaOiVsFeX7v/Cny9PNh76sMAKKmog783T23ZzFAlFXVYsecCuFwOnTVm5ygQIoQQYlP6KjY3PqpC0zb0lak52HAgX2+AY8r299ExYfj2cIHRzwPo4FVHQYEQIYQQmzJ0e3nRvepmS14Fd+9j9zmZ1fo2JFqMPhJ/k+oIGTqbRWyLAiFCCCE2FejNN6hdXtF99Hov3aSZHWOpdnz1auuHU9dK0TPcF/sv3TH6Pvpms4jtUSBECCHEYkza/m7gRMmafVfM76ABVN0Z1SMUj3y036SDVpuioor2iwIhQgghFmHq9ve7940/w8uaxCIBRvUINSjvyFBUVNF+0aGrhBBCzKba/t509kSVMJyWXaj1uS0dJLTiu0MkUJ8H8Pf2wJT+Efhhal/89dZj+PVMoUWCIA4agkEqqmi/aEaIEEKIWczd/t5H4g+xkA+ZCae7m+J+TT37/309PfBSfwlmDY5k+ybNK7bIcpgKFVW0bzQjRAghxCzGbH/XxI3Lwbg+bazUO93Kq+rwWcZlpOc82HlmqXyeUJGAts47AJoRIoQQYhZjtr9rExHobanusPjuHAzuFIx2ga2Qcvw6SjXsNtM0Y2XOUh2HAwzuGISXB7a32jlpxLIoECKEEGIWQwOHgruVZt/DEAIPLqYNaIfZQzrAjcuBNK8YX/6Zp7V90y3ufST+CBUJICuvNugojrh2/ugQ4oO2/l6YEB8BnjsttjgSCoQIIYQYpekW+b05tw163mcZl9FR3ErjUpExwYc+1XVKrNl/BdGthRjWNdToGSs3LgfLRkZjxpZMcKD5SI5HOwRiYFQQBT5OgAIhQghxISbV+WlE38nt+mhLmjYk+PDiuWHqwHZ4uK0fthy7ht/P6w7AFm4/hyHRYoNnmxq3G9Y1FOteiDWpHABxLBQIEUKIizC2zk9tvRLfSQtwraQSbf29ECwU4PUfTps8Y6OvyrK24EMVGFXWKvD53lyIhXy1nV/alFbW4ejVYvRtF6BztklVRbrpFvdhXUMxJFpsVuBI7J9R83kRERHgcDjNvmbOnImCggKN1zgcDrZt28be4/r160hKSoKXlxeCg4Px1ltvob5e/R/0n3/+idjYWPD5fERGRmLTpk3N+vLll18iIiICAoEAcXFxOH78uNr16upqzJw5EwEBAWjVqhXGjBmD27cNm74lhBBnY0ydH4WSwWspp9Bx8W9YsecC/iu9hhV7LuA1M4KgxnQtVQ3rGopD8wfjh6l9MaV/BIDms0MyeQ3u1yiaPVcTaV4xO9sENC9irfpe2xZ3Ny4H8e0D8GRMa8S3D6AgyAkZFQidOHEChYWF7Fd6ejoA4JlnnkF4eLjatcLCQixfvhytWrXC8OHDAQAKhQJJSUmora3FkSNHsHnzZmzatAlLly5lXyM/Px9JSUl47LHHkJWVhTlz5uDll1/G77//zrb58ccfMW/ePCxbtgyZmZno0aMHEhMTUVRUxLaZO3cudu3ahW3btuGvv/7CrVu38PTTT5v1wyKEEEekr84P0LBkpVAySMsuRPd3fseuszKLVVVuSt9SlRuXgz4Sf6RmW+Iw1YZRqGabxCL11xbTFneXx2EYxuR/63PmzMHu3buRm5sLDqd5lNyzZ0/ExsZi48aNAIDffvsNTzzxBG7duoWQkBAAwPr16zF//nzcuXMHPB4P8+fPx549e5Cdnc3eZ+zYsSgrK0NaWhoAIC4uDr1798batWsBAEqlEuHh4XjttdewYMEClJeXIygoCCkpKfjXv/4FALh48SI6d+4MqVSKvn37GjQ+uVwOkUiE8vJyCIVCU39MhBBiU9K8Yoz75qjednMTOuCzjMtWC4CAhgrOS57oArFQ9zKToX3W5/spcegfFch+b26OFHEMxnx+m5zqXltbiy1btmDy5Mkag6BTp04hKysLU6ZMYR+TSqXo1q0bGwQBQGJiIuRyOc6fP8+2SUhIULtXYmIipFIp+7qnTp1Sa8PlcpGQkMC2OXXqFOrq6tTadOrUCW3atGHbaFJTUwO5XK72RQghjs7QXVPJhy13tpY2JRV1mPtjFsZ9cxQDPtyn9egNSxQ1FHm6o2+TXCRa6iJNmRwI7dixA2VlZZg0aZLG6xs3bkTnzp3Rr18/9jGZTKYWBAFgv5fJZDrbyOVyVFVV4e7du1AoFBrbNL4Hj8eDr6+v1jaarFy5EiKRiP0KDw/X/gMghBAHYeiuqbKq5gUHrUnXOWSWqCv04ZjuFOgQvUwOhDZu3Ijhw4cjLCys2bWqqiqkpKSozQY5goULF6K8vJz9+vvvv23dJUIIMZuqRo+2kICDhjO3LMmb54YxPcPw8TM94O/N09imaX5SYwb12csDvl7N++3r6Y71lPdDDGTS9vlr164hIyMD27dv13j9559/RmVlJV588UW1x8VicbPdXaqdXGKxmP3fpru7bt++DaFQCE9PT7i5ucHNzU1jm8b3qK2tRVlZmdqsUOM2mvD5fPD5fB0jJ4QQx6OrRo8q0HipfwQ+zcg1+7UaDjGNwKzBUWxV55KKWq3ttW2pN6TPq57uhiHRYhy9WgxpXjEABvHtAtGXlryIEUyaEUpOTkZwcDCSkpI0Xt+4cSNGjRqFoKAgtcfj4+Nx7tw5td1d6enpEAqFiI6OZtvs3btX7Xnp6emIj48HAPB4PPTq1UutjVKpxN69e9k2vXr1goeHh1qbS5cu4fr162wbQghxJfp2Tc0aHKVzBqaxqQMjMDchSuO1hkNMc9lDTM05h8yQnV5uXA76RwbizcSOeDOxE/pHBVIQRIxi9IyQUqlEcnIyJk6cCHf35k+/cuUKDhw4gNTU1GbXhg4diujoaEyYMAGrV6+GTCbD4sWLMXPmTHYm5pVXXsHatWvx9ttvY/Lkydi3bx9++ukn7Nmzh73PvHnzMHHiRDz88MPo06cPPvvsM1RUVOCll14CAIhEIkyZMgXz5s2Dv78/hEIhXnvtNcTHxxu8Y4wQQpyNvgKB+io7cwBMGyTB28M6Y8CH+zS+RtNDTE2p6mxMnwkxl9GBUEZGBq5fv47JkydrvP7tt9/ioYcewtChQ5tdc3Nzw+7duzFjxgzEx8fD29sbEydOxLvvvsu2kUgk2LNnD+bOnYvPP/8cDz30EP7v//4PiYmJbJvnnnsOd+7cwdKlSyGTyRATE4O0tDS1BOpPP/0UXC4XY8aMQU1NDRITE/HVV18ZO1xCCHEqql1Tmmir7OzFc8OIrmJ88HR38Ny5kOYV6zxio/Fyl74zxLRVdTa0z4SYy6w6Qs6O6ggRQlyRvlo7O7NuYvbWLL33+XxsDJ6Mac1WtQY05/pQQUNiacZ8ftNZY4QQQtTom4ExdrlL20yTmA4wJXaAAiFCCCFGMWW5i3J9iL2iQIgQQohRDNnarukQU8r1IfbI5IKKhBBCXBcdYkqcBc0IEUIIMQktdxFnQIEQIYQQk9FyF3F0tDRGCCGEEJdFgRAhhBBCXBYFQoQQQghxWRQIEUIIIcRlUSBECCGEEJdFgRAhhBBCXBYFQoQQQghxWRQIEUIIIcRlUSBECCGEEJdFlaV1YJiGowTlcrmNe0IIIYQQQ6k+t1Wf47pQIKTDvXv3AADh4eE27gkhhBBCjHXv3j2IRCKdbTiMIeGSi1Iqlbh16xZ8fHzA4VjvEEG5XI7w8HD8/fffEAqFVnsde+KKYwZcc9yuOGbANcftimMGXHPc9j5mhmFw7949hIWFgcvVnQVEM0I6cLlcPPTQQy32ekKh0C7/QVmTK44ZcM1xu+KYAdcctyuOGXDNcdvzmPXNBKlQsjQhhBBCXBYFQoQQQghxWRQI2QE+n49ly5aBz+fbuistxhXHDLjmuF1xzIBrjtsVxwy45ridacyULE0IIYQQl0UzQoQQQghxWRQIEUIIIcRlUSBECCGEEJdFgRAhhBBCXBYFQnpERESAw+E0+5o5cyYKCgo0XuNwONi2bZvafTZt2oTu3btDIBAgODgYM2fOVLt+9uxZDBw4EAKBAOHh4Vi9enWzvmzbtg2dOnWCQCBAt27dkJqaqnadYRgsXboUoaGh8PT0REJCAnJzc2027hMnTuDxxx+Hr68v/Pz8kJiYiDNnzjjsuAFAJpNhwoQJEIvF8Pb2RmxsLP73v/+p3aOkpATjx4+HUCiEr68vpkyZgvv379vtuM0dc0FBAaZMmQKJRAJPT0+0b98ey5YtQ21trd2O2RLjbqympgYxMTHgcDjIysqy23Fbasx79uxBXFwcPD094efnh9GjR6tdv379OpKSkuDl5YXg4GC89dZbqK+vV2vz559/IjY2Fnw+H5GRkdi0aVOz1/nyyy8REREBgUCAuLg4HD9+3OgxW2rcly9fxpNPPonAwEAIhUIMGDAA+/fvt9tx6xtzXl4ennrqKQQFBUEoFOLZZ5/F7du31e7haO9lJmOITkVFRUxhYSH7lZ6ezgBg9u/fz9TX16tdKywsZJYvX860atWKuXfvHnuPjz/+mAkLC2O+//575sqVK8yZM2eYnTt3stfLy8uZkJAQZvz48Ux2djbzww8/MJ6enszXX3/Ntjl8+DDj5ubGrF69msnJyWEWL17MeHh4MOfOnWPbrFq1ihGJRMyOHTuYM2fOMKNGjWIkEglTVVXV4uO+d+8e4+/vz0yaNIm5ePEik52dzYwZM4YJCQlhamtrHXLcDMMwQ4YMYXr37s0cO3aMycvLY1asWMFwuVwmMzOTvcewYcOYHj16MEePHmUOHjzIREZGMuPGjWOv29u4zR3zb7/9xkyaNIn5/fffmby8PGbnzp1McHAw88Ybb9jtmC0x7sZef/11Zvjw4QwA5vTp03Y7bkuM+eeff2b8/PyYdevWMZcuXWLOnz/P/Pjjj+z1+vp6pmvXrkxCQgJz+vRpJjU1lQkMDGQWLlzItrl69Srj5eXFzJs3j8nJyWG++OILxs3NjUlLS2PbbN26leHxeMy3337LnD9/npk6dSrj6+vL3L5926gxW2rcUVFRzIgRI5gzZ84wly9fZl599VXGy8uLKSwstMtx6xrz/fv3mXbt2jFPPfUUc/bsWebs2bPMk08+yfTu3ZtRKBTsPRztvcxUFAgZafbs2Uz79u0ZpVKp8XpMTAwzefJk9vuSkhLG09OTycjI0HrPr776ivHz82NqamrYx+bPn8907NiR/f7ZZ59lkpKS1J4XFxfHTJ8+nWEYhlEqlYxYLGY++ugj9npZWRnD5/OZH374wbhBamDsuE+cOMEAYK5fv84+dvbsWQYAk5ubyzCMY47b29ub+e9//6vWxt/fn/nmm28YhmGYnJwcBgBz4sQJ9vpvv/3GcDgc5ubNmw4xbmPHrMnq1asZiUTCfm/vY2YY08edmprKdOrUiTl//nyzQMjex23smOvq6pjWrVsz//d//6f1nqmpqQyXy2VkMhn72Lp16xihUMj+HN5++22mS5cuas977rnnmMTERPb7Pn36MDNnzmS/VygUTFhYGLNy5UoTR/uAseO+c+cOA4A5cOAAe10ulzMAmPT0dIcYd+Mx//777wyXy2XKy8vZ62VlZQyHw2HH4wzvZYaipTEj1NbWYsuWLZg8ebLGQ1hPnTqFrKwsTJkyhX0sPT0dSqUSN2/eROfOnfHQQw/h2Wefxd9//822kUqlGDRoEHg8HvtYYmIiLl26hNLSUrZNQkKC2uslJiZCKpUCAPLz8yGTydTaiEQixMXFsW1actwdO3ZEQEAANm7ciNraWlRVVWHjxo3o3LkzIiIiHHbc/fr1w48//oiSkhIolUps3boV1dXVePTRR9n++vr64uGHH2bvk5CQAC6Xi2PHjtn9uE0Zsybl5eXw9/dnv7fnMZsz7tu3b2Pq1Kn47rvv4OXl1ey+9jxuU8acmZmJmzdvgsvlomfPnggNDcXw4cORnZ2tNuZu3bohJCREbTxyuRznz583aMy1tbU4deqUWhsul4uEhASb/LcOCAhAx44d8d///hcVFRWor6/H119/jeDgYPTq1cvux910zDU1NeBwOGrFEAUCAbhcLg4dOsT21ZHfy4xBgZARduzYgbKyMkyaNEnjddUHfb9+/djHrl69CqVSiQ8++ACfffYZfv75Z5SUlGDIkCFsDoVMJlP75QHAfi+TyXS2aXy98fM0tTGVKeP28fHBn3/+iS1btsDT0xOtWrVCWloafvvtN7i7u+scU+Px2Nu4f/rpJ9TV1SEgIAB8Ph/Tp0/HL7/8gsjISLY/wcHBavdxd3eHv7+/3jE1Ho+txm3KmJu6cuUKvvjiC0yfPp19zJ7HDJg2boZhMGnSJLzyyitqHxaN2fO4TRnz1atXAQDvvPMOFi9ejN27d8PPzw+PPvooSkpKzB6zXC5HVVUV7t69C4VCYTf/rTkcDjIyMnD69Gn4+PhAIBDgk08+QVpaGvz8/Ox+3E3H3LdvX3h7e2P+/PmorKxERUUF3nzzTSgUChQWFrJ9deT3MmNQIGSEjRs3Yvjw4QgLC2t2raqqCikpKWqzIgCgVCpRV1eHNWvWIDExEX379sUPP/yA3NzcZol29sqUcVdVVWHKlCno378/jh49isOHD6Nr165ISkpCVVVVS3XdLJrGvWTJEpSVlSEjIwMnT57EvHnz8Oyzz+LcuXM27KnlmDvmmzdvYtiwYXjmmWcwderUluy6WUwZ9xdffIF79+5h4cKFtuq2WUwZs1KpBAAsWrQIY8aMQa9evZCcnKxxg4i9MmXcDMNg5syZCA4OxsGDB3H8+HGMHj0aI0eOZAMHe9Z0zEFBQdi2bRt27dqFVq1aQSQSoaysDLGxseByXS8scLd1BxzFtWvXkJGRge3bt2u8/vPPP6OyshIvvvii2uOhoaEAgOjoaPaxoKAgBAYG4vr16wAAsVjcLFtf9b1YLNbZpvF11WOq11R9HxMTY9RYGzN13CkpKSgoKIBUKmV/sVJSUuDn54edO3di7NixDjfuvLw8rF27FtnZ2ejSpQsAoEePHjh48CC+/PJLrF+/HmKxGEVFRWr3qq+vR0lJid4x2Xrcpo5Z5datW3jsscfQr18/bNiwQe3e9jpmc8a9b98+SKXSZmctPfzwwxg/fjw2b95st+M2dcya3s/4fD7atWun9n7WdJeToWMWCoXw9PSEm5sb3NzcdP5cWnLc+/btw+7du1FaWgqhUAgA+Oqrr5Ceno7NmzdjwYIFdjtube/hQ4cORV5eHu7evQt3d3f4+vpCLBajXbt2bF8d9b3MWK4X+pkoOTkZwcHBSEpK0nh948aNGDVqFIKCgtQe79+/PwDg0qVL7GMlJSW4e/cu2rZtCwCIj4/HgQMHUFdXx7ZJT09Hx44d2WnX+Ph47N27V+3e6enpiI+PBwBIJBKIxWK1NnK5HMeOHWPbmMLUcVdWVoLL5arlFKm+V/1V6WjjrqysZMfRmJubm9qYysrKcOrUKfb6vn37oFQqERcXZ9fjNnXMQMNM0KOPPsrOEDRtb69jNmfca9aswZkzZ5CVlYWsrCx2S/CPP/6I999/367HbeqYe/XqBT6fr/Z+VldXh4KCArX3s3Pnzql9iKanp0MoFLIBlL4x83g89OrVS62NUqnE3r17bfLfWlsbLper9rtvj+PW9x4eGBgIX19f7Nu3D0VFRRg1ahTbV0d9LzNai6RkOziFQsG0adOGmT9/vsbrubm5DIfDYX777TeN15988kmmS5cuzOHDh5lz584xTzzxBBMdHc1uIy8rK2NCQkKYCRMmMNnZ2czWrVsZLy+vZlsQ3d3dmf/85z/MhQsXmGXLlmncgujr68vs3LmT3Q5pzhZEc8Z94cIFhs/nMzNmzGBycnKY7Oxs5oUXXmBEIhFz69Ythxx3bW0tExkZyQwcOJA5duwYc+XKFeY///kPw+FwmD179rDthg0bxvTs2ZM5duwYc+jQISYqKkpty6k9jtucMd+4cYOJjIxkHn/8cebGjRtqW3bteczmjrup/Pz8ZrvG7HHc5o559uzZTOvWrZnff/+duXjxIjNlyhQmODiYKSkpYRjmwTbyoUOHMllZWUxaWhoTFBSkcRv5W2+9xVy4cIH58ssvNW4j5/P5zKZNm5icnBxm2rRpjK+vr9qurJYa9507d5iAgADm6aefZrKysphLly4xb775JuPh4cFkZWXZ7bh1vYd/++23jFQqZa5cucJ89913jL+/PzNv3jy1No74XmYKCoQM8PvvvzMAmEuXLmm8vnDhQiY8PFyt/kJj5eXlzOTJkxlfX1/G39+feeqpp9S2lTMMw5w5c4YZMGAAw+fzmdatWzOrVq1qdp+ffvqJ6dChA8Pj8ZguXbo0e0NWKpXMkiVLmJCQEIbP5zOPP/641j4bwtxx//HHH0z//v0ZkUjE+Pn5MYMHD2akUqlaG0cb9+XLl5mnn36aCQ4OZry8vJju3bs323ZbXFzMjBs3jmnVqhUjFAqZl156Sa2ulD2O25wxJycnMwA0ftnzmM0dd1OaAiGGsb9xmzvm2tpa5o033mCCg4MZHx8fJiEhgcnOzlZrU1BQwAwfPpzx9PRkAgMDmTfeeIOpq6tTa7N//34mJiaG4fF4TLt27Zjk5ORm/fniiy+YNm3aMDwej+nTpw9z9OhRk8ZsiXGfOHGCGTp0KOPv78/4+Pgwffv2ZVJTU+163LrGPH/+fCYkJITx8PBgoqKimI8//rhZeRRHfC8zBYdhGKZl5p4IIYQQQuwL5QgRQgghxGVRIEQIIYQQl0WBECGEEEJcFgVChBBCCHFZFAgRQgghxGVRIEQIIYQQl0WBECGEEEJcFgVChBBCCHFZFAgRQgghxGVRIEQIIYQQl0WBECGEEEJcFgVChBBCCHFZ/w8X/W/bcEDybAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "altHDvPop = [0. for t in range(nHDs)]\n",
    "#nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        altHDvPop[t] += unitPop[u]\n",
    "        pass\n",
    "        #if allUnits[u] in surroundedVTDs:\n",
    "        #    nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * tractPop[v] \n",
    "plt.scatter([HDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\") \n",
    "plt.show()\n",
    "plt.scatter([altHDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\")\n",
    "plt.show()\n",
    "plt.scatter([HDvPop[t] for t in popHDlist],[altHDvPop[t] for t in popHDlist] )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "id": "0694ee0a-4ecc-4df8-8bfa-785b16a76da1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "somehow our unitpops are off -- did we not update them?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"somehow our unitpops are off -- did we not update them?\")\n",
    "altUnitPop = [0.]*nUnits\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        altUnitPop[u] += tractPop[v]\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        altUnitPop[u] += tractPop[v] * unitVTDfrac[u][i]\n",
    "plt.scatter(allUnits,[altUnitPop[u]/unitPop[u] for u in range(nUnits)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "id": "fddf075a-43e4-4467-ad4d-c56a39b85f90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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HjWVOTk7QaDTNbqe5sfxRcnIykpKSWvBJEBERNW3J1qP4cPcZo/s83McVHz4baPyA6LYMCkJbtmzBxx9/jE2bNqF///4oLi5GTEwMvLy8EBERcafG2Gbi4+MRGxsr/azVauHt7d2OIyIiIlPyp+Rc/FJZa3SftVOG4DF/3huoLRgUhF599VXExcVJ59cMHDgQZ8+eRXJyMiIiIqBWqwEAFy5cgKenp7TehQsX4O/vDwBQq9W4ePGiXt/6+nqUl5dL66vValy4cEGv5sbPzdXcvLy5sfyRtbU1rK2tW/ZhEBER3aRnfJYsT4w/9eY43huoDRl0jtDVq1ehVOqvYmFhAZ1OBwDw9fWFWq1Gfn6+tFyr1aKwsBBBQUEAgKCgIFRUVKCoqEiq2b59O3Q6HQIDA6WaHTt2oK7u94fP5ebmok+fPnBycpJqbt7OjZob22nJWIiIiIxVfqUWPnHGhyAFgDPLwxiC2phBe4TGjx+PZcuWoXv37ujfvz8OHjyIt99+G5GRkQAAhUKBmJgYLF26FL1794avry8SEhLg5eWF8PBwAEDfvn0xduxYPP/880hNTUVdXR1mz56NKVOmwMvr+m7AadOmISkpCVFRUZg/fz5KSkqwevVqrFq1ShrL3Llz8cADD2DlypUICwvD5s2bsX//fukS+5aMhYiIyBgBS75G+VXjLosHgJG9XLDxOd4bqD0YdPn85cuXkZCQgM8//xwXL16El5cXpk6disTEROkKLyEEFi1ahPfffx8VFRUYOXIk3nvvPdx7771Sn/LycsyePRtbt26FUqnExIkTsWbNGtjZ2Uk1hw8fRnR0NPbt2wdXV1fMmTMH8+fP1xtPeno6Fi5ciDNnzqB3795ISUnBuHHjpOUtGcvt8PJ5IiK6FZ+4LFn6vDN1CMYP5vlAcjLk97dBQcjcMAgREdEf/aqtwf1v5hndp2sX4EgSzwe6Ewz5/c1njREREbVQ3wVZuGbs01IBrJg4EE/e3934RmQ0BiEiIqJmlF+pRcDSXFl6pT4VgLEDPJsvpDbBIERERHQbAUlfo/ya8SdEA7w0viNiECIiIroFuU6IHu5jj80vjJKlF8mLQYiIiOgPrtU2oG9ijiy9ji/hs8I6MgYhIiKim0Sl7UV+6a+y9DqzPEyWPnTnMAgRERH9f0OScnBJhsvCbLsocPSNcc0XUrtjECIiIrNXW6/DvQu/kqXXiomD8OT9fGC3qWAQIiIisxb3WTE27/3F6D5WSuD4Ul4VZmoYhIiIyGzdE58FnQzPV5gR6I03Hh9kfCNqcwxCRERkdiqv1mHwkm2y9HpvWgDGDeINEk0VgxAREZmV4Uu/huYKb5BI1zEIERGR2ZDrBon9Pbsha+5oWXpR+2IQIiKiTk/Oq8JKFofATsVfn50Fv0kiIurUFmYcwcbvzxndx1IB/JjMGyR2NgxCRETUKTXoBHq+ni1Lrwd6u+CjqOGy9KKOhUGIiIg6nf/sPYdXPjsiSy8+K6xzYxAiIqJOxW9BFqqNf0oG3LoqsS8x1PhG1KExCBERUach11Vhq54cjMeH3i1LL+rYGISIiMjkyXWDRCWAk7w3kFlhECIiIpM26q18/HSp2ug+vCrMPDEIERGRybp3QTZqG4x/WNjdjtbYFRcsw4jI1DAIERGRSRr3929kCUGHEsfAoWsXGUZEpohBiIiITEqDTmDH8Ys4prlqVJ/ebjbIfflhmUZFpopBiIiITEb24TIs/KIE5VW1RvUZdLc9vpw9SqZRkSljECIiIpOQnH0M/9hx2ug+fFYY3Yx/EoiIqEOrrdch7tNifHawzOheZ5bzqjDSxyBEREQd1rKso/hg5xmj+4zwdcCmWSONHxB1OgxCRETU4TToBJ5M3YMD5yqM7sVnhdHtMAgREVGH8kXxL3h5yyHU64y7NN62iwJH3xgn06ios2IQIiKiDmPCOztx+Bdtq9dXAPC074IvZj8AN3tr+QZGnRaDEBERtbvaeh1Gp+RDo239ZfHvTQvAuEGeMo6KzAGDEBERtaslX5bgwz1njeoxa7QvQxC1CoMQERG1i9p6He5fmovK6vpW91AAeGeKPx7zv0u+gZFZYRAiIqI2l7S1BGm7jdsLBABrpg7BY4O9ZBgRmSsGISIialOj3srHT5eqje4za7QvxjMEkZGUhhT7+PhAoVA0ekVHRwMATp06hccffxxubm6wt7fHpEmTcOHChWZ7LF++XK/m8OHDGDVqFFQqFby9vZGSktJoLOnp6fDz84NKpcLAgQORnZ2tt1wIgcTERHh6esLGxgbBwcE4efKkIdMlIiIZNegEBi36yugQZG2pwHvThiB+XD+ZRkbmzKAgtG/fPpSVlUmv3NxcAMCTTz6JqqoqjBkzBgqFAtu3b8fu3btRW1uL8ePHQ6fT6fVZsmSJXp85c+ZIy7RaLcaMGYMePXqgqKgIK1aswOLFi/H+++9LNXv27MHUqVMRFRWFgwcPIjw8HOHh4SgpKZFqUlJSsGbNGqSmpqKwsBC2trYICQlBdbXx/wohIiLDZB8+j56vZ0Nbo2u++BYUAOY+0hvHloRi3CDuCSJ5KIQQrb5jVUxMDDIzM3Hy5Enk5uYiNDQUly5dgr29PQCgsrISTk5O2LZtG4KDgwFc3yMUExODmJiYJnuuW7cOCxYsgEajgZWVFQAgLi4OGRkZOHHiBABg8uTJqKqqQmZmprTe8OHD4e/vj9TUVAgh4OXlhZdffhmvvPKKNBYPDw9s2LABU6ZMadH8tFotHBwcUFlZKc2JiIgMI8djMnxdbZAX+xAslAp5BkWdmiG/vw3aI3Sz2tpabNy4EZGRkVAoFKipqYFCoYC19e83sFKpVFAqldi1a5feusuXL4eLiwuGDBmCFStWoL7+9ysGCgoKMHr0aCkEAUBISAhKS0tx6dIlqeZGsLq5pqCgAABw+vRpaDQavRoHBwcEBgZKNU2pqamBVqvVexERUes06ARe+Nd+o0KQEsDqyf745pWHGYLojmj1ydIZGRmoqKjAM888A+D6HhlbW1vMnz8fb775JoQQiIuLQ0NDA8rKfn9i8EsvvYSAgAA4Oztjz549iI+PR1lZGd5++20AgEajga+vr962PDw8pGVOTk7QaDTSezfXaDQaqe7m9ZqqaUpycjKSkpJa8WkQEdHN0vedw6ufHjGqh5tdF3z/+qMMQHRHtXqP0Pr16xEaGgovr+vHad3c3JCeno6tW7fCzs4ODg4OqKioQEBAAJTK3zcTGxuLBx98EIMGDcILL7yAlStX4p133kFNTY3xszFSfHw8KisrpddPP/3U3kMiIjI5veKyjA5BdlZK7Fs4hiGI7rhW7RE6e/Ys8vLy8Nlnn+m9P2bMGJw6dQq//fYbLC0t4ejoCLVajXvuueeWvQIDA1FfX48zZ86gT58+UKvVja40u/GzWq2W/ttUzc3Lb7zn6empV+Pv73/LsVhbW+sd2iMiopa7Ul2PAYu/NrqPlRIoWRIqw4iImteqPUJpaWlwd3dHWFhYk8tdXV3h6OiI7du34+LFi5gwYcItexUXF0OpVMLd3R0AEBQUhB07dqCurk6qyc3NRZ8+feDk5CTV5Ofn6/XJzc1FUFAQAMDX1xdqtVqvRqvVorCwUKohIiL5jFn1rSwhyKWrJX54s+nfLUR3gsF7hHQ6HdLS0hAREQFLS/3V09LS0LdvX7i5uaGgoABz587FvHnz0KdPHwDXT3IuLCzEQw89hG7duqGgoADz5s3DU089JYWcadOmISkpCVFRUZg/fz5KSkqwevVqrFq1StrO3Llz8cADD2DlypUICwvD5s2bsX//fukSe4VCgZiYGCxduhS9e/eGr68vEhIS4OXlhfDw8NZ+VkRE1ASfuCxZ+jwb1AOL/jxAll5ELWVwEMrLy8O5c+cQGRnZaFlpaSni4+NRXl4OHx8fLFiwAPPmzZOWW1tbY/PmzVi8eDFqamrg6+uLefPmITY2VqpxcHDAtm3bEB0djaFDh8LV1RWJiYmYOXOmVDNixAhs2rQJCxcuxOuvv47evXsjIyMDAwb8/n+g1157DVVVVZg5cyYqKiowcuRI5OTkQKVSGTplIiJqQuXVOgxess3oPlZKBUqWjIWVZatPWyVqNaPuI9TZ8T5CRERNG7l8O36uuGZ0HxfbLihKGCPDiIh+Z8jvbz5rjIiIDCLXobBngnpgMQ+FUTtjECIioha5VtuAvok5RvdRAChdGspDYdQhMAgREVGzpry/G9//t8LoPkoF8N9kXhVGHQeDEBER3ZZch8JG9XLCv54bIUsvIrkwCBERUZN+1FxB8N+/k6XX8SVjYWNlIUsvIjkxCBERUSNy7QWyVgKlvEEidWA8U42IiCQNOiFbCJoR5M0QRB0e9wgREREAIGP/z4j5zyFZev3Aq8LIRDAIERERRry5Dee1dc0XtsCZ5dwLRKaDQYiIyIzJdW8gAEh+fACmBvaQpRdRW2EQIiIyU5Eb9mL7iV9l6XXqzXGwUCpk6UXUlhiEiIjM0JDFX+FStU6WXjwURqaMQYiIyIw06AR6vp4tSy87S6BkKUMQmTYGISIiM7Gl8Axe+/yoLL0OLHwUznZWsvQiak8MQkREZuDe17NQK8+RMB4Ko06FN3kgIurEKq/WwSdOnhDk596VIYg6He4RIiLqpEYtz8dPFdWy9CpZHAI7FX9lUOfDP9VERJ1Qr/gs1Avj+1gqgB+TuReIOi8eGiMi6kRq63XwiZMnBPX3tGUIok6Pe4SIiDqJpK0lSNt9VpZePBRG5oJ/yomIOoHhb+RAU9UgSy+eEE3mhEGIiMiEyXmDxGnDvPHmE4Nk6UVkKhiEiIhM1JcHfsZLWw7J0uuHpaGwsuRpo2R+GISIiEzQuNXf4VjZFaP7WAA4xUNhZMYYhIiITEiDTqDX69mQ4aIwPNjbBRuihsvQich0MQgREZmILw/8gpe2FMvS6/iSsbCxspClF5EpYxAiIjIBoau/w3EZDoUBvCqM6GYMQkREHVhtvQ73LvxKll53OVhhd/yjsvQi6iwYhIiIOqhFX5TgowJ5bpB4KHEMHLp2kaUXUWfCIERE1AH1ic9CjQxnRFsogFN8TAbRLTEIERF1IJqKagxfni9Lr92vPYy7nG1k6UXUWTEIERF1ED5xWbL14gnRRC3D24gSEXUAcoUgeyuGICJDcI8QEVE7OvazFuPW7pSl18onB2Pi0Ltl6UVkLhiEiIjaiZyHwk69OQ4WSoVs/YjMhUGHxnx8fKBQKBq9oqOjAQCnTp3C448/Djc3N9jb22PSpEm4cOGCXo/y8nJMnz4d9vb2cHR0RFRUFK5c0b9J2OHDhzFq1CioVCp4e3sjJSWl0VjS09Ph5+cHlUqFgQMHIjtb/+nLQggkJibC09MTNjY2CA4OxsmTJw2ZLhHRHSNXCLrLwRpnlocxBBG1kkFBaN++fSgrK5Neubm5AIAnn3wSVVVVGDNmDBQKBbZv347du3ejtrYW48ePh06nk3pMnz4dR48eRW5uLjIzM7Fjxw7MnDlTWq7VajFmzBj06NEDRUVFWLFiBRYvXoz3339fqtmzZw+mTp2KqKgoHDx4EOHh4QgPD0dJSYlUk5KSgjVr1iA1NRWFhYWwtbVFSEgIqqurW/1hEREZS1NRLVsIOpQ4Brvjg2XpRWSuFEKIVt+pIiYmBpmZmTh58iRyc3MRGhqKS5cuwd7eHgBQWVkJJycnbNu2DcHBwTh+/Dj69euHffv24b777gMA5OTkYNy4cfj555/h5eWFdevWYcGCBdBoNLCysgIAxMXFISMjAydOnAAATJ48GVVVVcjMzJTGMnz4cPj7+yM1NRVCCHh5eeHll1/GK6+8Io3Fw8MDGzZswJQpU1o0P61WCwcHB1RWVkpzIiJqLbkCkALAaZ4QTXRLhvz+bvVVY7W1tdi4cSMiIyOhUChQU1MDhUIBa2trqUalUkGpVGLXrl0AgIKCAjg6OkohCACCg4OhVCpRWFgo1YwePVoKQQAQEhKC0tJSXLp0SaoJDtb/V1BISAgKCgoAAKdPn4ZGo9GrcXBwQGBgoFRDRNSW5ApBLl0tGYKIZNTqIJSRkYGKigo888wzAK7vkbG1tcX8+fNx9epVVFVV4ZVXXkFDQwPKysoAABqNBu7u7np9LC0t4ezsDI1GI9V4eHjo1dz4ubmam5ffvF5TNU2pqamBVqvVexERGWNHyUXZQtDbEweiKDFEll5EdF2rg9D69esRGhoKLy8vAICbmxvS09OxdetW2NnZwcHBARUVFQgICIBSaRq3K0pOToaDg4P08vb2bu8hEZEJ84nLwtMb98nS69Sb4/DE/d1l6UVEv2tVQjl79izy8vLw3HPP6b0/ZswYnDp1ChcvXsRvv/2Gf/3rX/jll19wzz33AADUajUuXryot059fT3Ky8uhVqulmj9eaXbj5+Zqbl5+83pN1TQlPj4elZWV0uunn35q/sMgIvqDa7UNst8lmleFEd0ZrQpCaWlpcHd3R1hY08epXV1d4ejoiO3bt+PixYuYMGECACAoKAgVFRUoKiqSardv3w6dTofAwECpZseOHairq5NqcnNz0adPHzg5OUk1+fn6z+LJzc1FUFAQAMDX1xdqtVqvRqvVorCwUKppirW1Nezt7fVeRESGmPyPXeibmCNLr0CfbrxLNNEdZvANFXU6HdLS0hAREQFLS/3V09LS0LdvX7i5uaGgoABz587FvHnz0KdPHwBA3759MXbsWDz//PNITU1FXV0dZs+ejSlTpkiH2KZNm4akpCRERUVh/vz5KCkpwerVq7Fq1SppO3PnzsUDDzyAlStXIiwsDJs3b8b+/fulS+wVCgViYmKwdOlS9O7dG76+vkhISICXlxfCw8Nb+1kREd2WnHuBji8ZCxsrC9n6EVHTDA5CeXl5OHfuHCIjIxstKy0tRXx8PMrLy+Hj44MFCxZg3rx5ejUff/wxZs+ejUceeQRKpRITJ07EmjVrpOUODg7Ytm0boqOjMXToULi6uiIxMVHvXkMjRozApk2bsHDhQrz++uvo3bs3MjIyMGDAAKnmtddeQ1VVFWbOnImKigqMHDkSOTk5UKlUhk6ZiOi2Kq/WYfCSbbL04qXxRG3LqPsIdXa8jxARNWfwwixU1svTa/drD+MuZxt5mhGZMUN+f/NZY0RErST3CdFE1PZM47p2IqIOpPJqHUMQUSfBPUJERAbwT8hCRV3zdS2RF/MAeqnt5GlGRK3CIERE1ELcC0TU+fDQGBFRM3gojKjz4h4hIqLb6BeXhasy9cqePQr97uYVqEQdCYMQEdEtcC8QUefHQ2NERH+wbf95hiAiM8E9QkREN5EzAGW88Cf4+zjK1o+I5McgRET0/3EvEJH54aExIjJ7m3eeki0E2SoYgohMCfcIEZFZk3Mv0KHEMXDo2kW2fkR05zEIEZHZ4qEwIuKhMSIyO1t2/ZchiIgAcI8QEZkZOQPQ1y+NRh+vbrL1I6K2xyBERGaDe4GI6I94aIyIOr3P9pxhCCKiJnGPEBF1anIGoDfH9cG00b1k60dE7Y9BiIg6Le4FIqLm8NAYEXU6G74pZQgiohbhHiEi6lTkDEBvT+iPJ0b4yNaPiDoeBiEi6jS4F4iIDMVDY0Rk8niDRCJqLe4RIiKTJmcAWvv4IDwW6C1bPyLq+BiEiMhkcS8QERmLh8aIyOR8+f05hiAikgX3CBGRSZEzAG2OHI7h97rI1o+ITA+DEBGZDO4FIiK58dAYEXV4//ftDwxBRHRHcI8QEXVocgagrS+OxMDuDrL1IyLTxyBERB0W9wIR0Z3GQ2NE1OHk7PuFIYiI2gT3CBFRhyJnAPom9kH4utvK1o+IOh8GISLqEGrrdbh34Vey9eNeICJqCQYhImp3y7KO4oOdZ2TpZQvgKEMQEbUQgxARtavpH3yP3af+J0uvksUhsFPxrzUiajmDTpb28fGBQqFo9IqOjgYAaDQazJgxA2q1Gra2tggICMCnn37abI/ly5fr1Rw+fBijRo2CSqWCt7c3UlJSGo0lPT0dfn5+UKlUGDhwILKzs/WWCyGQmJgIT09P2NjYIDg4GCdPnjRkukR0B9XW6+ATlyVbCDqzPIwhiIgMZlAQ2rdvH8rKyqRXbm4uAODJJ58EADz99NMoLS3Fl19+iSNHjuCJJ57ApEmTcPDgQb0+S5Ys0eszZ84caZlWq8WYMWPQo0cPFBUVYcWKFVi8eDHef/99qWbPnj2YOnUqoqKicPDgQYSHhyM8PBwlJSVSTUpKCtasWYPU1FQUFhbC1tYWISEhqK6uNvxTIiJZLco4Itv5QI4Kng9ERK2nEEKI1q4cExODzMxMnDx5EgqFAnZ2dli3bh1mzJgh1bi4uOCtt97Cc889B+D6HqGYmBjExMQ02XPdunVYsGABNBoNrKysAABxcXHIyMjAiRMnAACTJ09GVVUVMjMzpfWGDx8Of39/pKamQggBLy8vvPzyy3jllVcAAJWVlfDw8MCGDRswZcqUFs1Pq9XCwcEBlZWVsLe3N/jzIaLG7o3PQm2r/9bRx0NhRNQUQ35/t/o+QrW1tdi4cSMiIyOhUCgAACNGjMAnn3yC8vJy6HQ6bN68GdXV1XjwwQf11l2+fDlcXFwwZMgQrFixAvX19dKygoICjB49WgpBABASEoLS0lJcunRJqgkODtbrGRISgoKCAgDA6dOnodFo9GocHBwQGBgo1TSlpqYGWq1W70VE8vGJky8E8VAYEcmh1X+LZGRkoKKiAs8884z03pYtWzB58mS4uLjA0tISXbt2xeeff45evXpJNS+99BICAgLg7OyMPXv2ID4+HmVlZXj77bcBXD/PyNfXV29bHh4e0jInJydoNBrpvZtrNBqNVHfzek3VNCU5ORlJSUkGfhJE1Jwr1fUYsPhrWXptmHYfHhzk0XwhEVELtDoIrV+/HqGhofDy8pLeS0hIQEVFBfLy8uDq6oqMjAxMmjQJO3fuxMCBAwEAsbGxUv2gQYNgZWWFWbNmITk5GdbW1kZMxXjx8fF649NqtfD29m7HERGZvpC3v0XpxSpZevFcICKSW6uC0NmzZ5GXl4fPPvtMeu/UqVNYu3YtSkpK0L9/fwDA4MGDsXPnTrz77rtITU1tsldgYCDq6+tx5swZ9OnTB2q1GhcuXNCrufGzWq2W/ttUzc3Lb7zn6empV+Pv73/LeVlbW7d7GCPqTPiYDCLq6Fp1jlBaWhrc3d0RFvb7X0xXr1693lCp39LCwgI6ne6WvYqLi6FUKuHu7g4ACAoKwo4dO1BXVyfV5Obmok+fPnBycpJq8vPz9frk5uYiKCgIAODr6wu1Wq1Xo9VqUVhYKNUQ0Z1TebVOthCUOtGfIYiI7hiD9wjpdDqkpaUhIiIClpa/r+7n54devXph1qxZ+Nvf/gYXFxdkZGQgNzdXurqroKAAhYWFeOihh9CtWzcUFBRg3rx5eOqpp6SQM23aNCQlJSEqKgrz589HSUkJVq9ejVWrVknbmjt3Lh544AGsXLkSYWFh2Lx5M/bv3y9dYq9QKBATE4OlS5eid+/e8PX1RUJCAry8vBAeHm7M50VEzRidko9z5fLcpoIBiIjuNIODUF5eHs6dO4fIyEi997t06YLs7GzExcVh/PjxuHLlCnr16oWPPvoI48aNA3D90NPmzZuxePFi1NTUwNfXF/PmzdM7L8fBwQHbtm1DdHQ0hg4dCldXVyQmJmLmzJlSzYgRI7Bp0yYsXLgQr7/+Onr37o2MjAwMGDBAqnnttddQVVWFmTNnoqKiAiNHjkROTg5UKpXBHxIRNe9abQMGLMpBgwxXhT14rys2RAYa34iIqBlG3Ueos+N9hIhaJnLDXmw/8assvY4vGQsbKwtZehGReTLk9zdvwkFERhm8KBuVNfL8e4qHwoiorbX6hopERD5xWbKEoCBfR4YgImoX3CNERAarrdfJ9qwwHgojovbEIEREBlmUcQQffX9Oll7cC0RE7Y1BiIharF/iV7hae+v7grW4j6cdsuc+IMOIiIiMwyBERM2S81AYnxhPRB0J/zYiotuan34QnxSdN7qPk40lDi4KkWFERETyYRAioibJuRdo5V8GY+J9d8vSi4hITgxCRNTIkq1H8eHuM7L0OvXmOFgoFbL0IiKSG4MQEen505u5+EVba3QfPzcb5Lz8sAwjIiK6cxiEiEhyT1wWjL8mDFgzaTAmBPBQGBF1fAxCRAQAGLAox+gQZK+ywMHEEB4KIyKTwSBERPhVW4MrNQ1G9RjgaYdM3huIiEwMgxARIfy9XUatv3qyP/485C6ZRkNE1HYYhIgIv12pafW6vCqMiEwZnz5PROhqZfi/iVSWSpxZHsYQREQmjUGIiLD8zwMMqo8I7I4TS0Pv0GiIiNoOD40REYIHegL/PthsnY2lAocWj4WVJf8NRUSdA/82IyJYKBVIfSrgtjURQd1xfOk4hiAi6lT4NxoRAQDGDvBE6lMBcO1qofe+vZUS700bgqQ/D2ynkRER3Tk8NEZEkrEDPPFoPzX2ni7HxcvVcO+mwjBfZ54QTUSdFoMQEemxUCoQ1NOlvYdBRNQmeGiMiIiIzBaDEBEREZktHhojMnENOsFzeoiIWolBiMiEZR8+j4VflKC8qk56z9NBhUXj+2HsAM92HBkRkWngoTEiE3Sluh4PpGzHi5sO6oUgACirrMZfNx5ATklZO42OiMh0cI8QkYkJXfUNjl+4etsaASBp6zE82k/Nw2RERLfBPUJEJuJabQN84rKaDUE3lFVWY+/p8js8KiIi08Y9QkQm4JkPC/HtD78ZvN7Fy9V3YDRERJ0HgxBRB9agE/BbmI06XevWd++mkndARESdDA+NEXVQXxT/gp6vtz4EOdt2wTBfZ3kHRUTUyXCPEFEHFPr373Bcc8WoHkv/PIAnShMRNYNBiKgDadAJ9Hw92+g+z4/yxbhBXjKMiIioc+OhMaIOIvvweVlCUOQIHywI6yfDiIiIOj/uESLqABIyjuBf358zuk9wXzckTugvw4iIiMyDQXuEfHx8oFAoGr2io6MBABqNBjNmzIBarYatrS0CAgLw6aef6vUoLy/H9OnTYW9vD0dHR0RFReHKFf1zIQ4fPoxRo0ZBpVLB29sbKSkpjcaSnp4OPz8/qFQqDBw4ENnZ+v+SFkIgMTERnp6esLGxQXBwME6ePGnIdInaRL+EbFlC0POjfPHPiGEyjIiIyHwYFIT27duHsrIy6ZWbmwsAePLJJwEATz/9NEpLS/Hll1/iyJEjeOKJJzBp0iQcPHhQ6jF9+nQcPXoUubm5yMzMxI4dOzBz5kxpuVarxZgxY9CjRw8UFRVhxYoVWLx4Md5//32pZs+ePZg6dSqioqJw8OBBhIeHIzw8HCUlJVJNSkoK1qxZg9TUVBQWFsLW1hYhISGoruZ9VahjaNAJ+MRl4WqdMLrXD0tDeTiMiKgVFEKIVv8tHBMTg8zMTJw8eRIKhQJ2dnZYt24dZsyYIdW4uLjgrbfewnPPPYfjx4+jX79+2LdvH+677z4AQE5ODsaNG4eff/4ZXl5eWLduHRYsWACNRgMrKysAQFxcHDIyMnDixAkAwOTJk1FVVYXMzExpO8OHD4e/vz9SU1MhhICXlxdefvllvPLKKwCAyspKeHh4YMOGDZgyZUqL5qfVauHg4IDKykrY29u39mMiauSTvWcx/7OS5gub0c/DDtnzHpBhREREnYchv79bfbJ0bW0tNm7ciMjISCgU1y/RHTFiBD755BOUl5dDp9Nh8+bNqK6uxoMPPggAKCgogKOjoxSCACA4OBhKpRKFhYVSzejRo6UQBAAhISEoLS3FpUuXpJrg4GC98YSEhKCgoAAAcPr0aWg0Gr0aBwcHBAYGSjVNqampgVar1XsRyelKdT184rKMDkFWlgqULA5hCCIiMlKrg1BGRgYqKirwzDPPSO9t2bIFdXV1cHFxgbW1NWbNmoXPP/8cvXr1AnD9HCJ3d3e9PpaWlnB2doZGo5FqPDw89Gpu/Nxczc3Lb16vqZqmJCcnw8HBQXp5e3u36LMgaolxq7/DgMVfG93H29EaPywdBzsVr3UgIjJWq4PQ+vXrERoaCi+v3+9VkpCQgIqKCuTl5WH//v2IjY3FpEmTcOTIEVkGe6fFx8ejsrJSev3000/tPSTqJHzisnCszLgbJALAI36u2BkX3HwhERG1SKv+SXn27Fnk5eXhs88+k947deoU1q5di5KSEvTvf/3y3cGDB2Pnzp149913kZqaCrVajYsXL+r1qq+vR3l5OdRqNQBArVbjwoULejU3fm6u5ublN97z9PTUq/H397/lvKytrWFtbd3iz4GoOddqG9A3McfoPl0UwOGksbCxspBhVEREdEOr9gilpaXB3d0dYWFh0ntXr1693lCp39LCwgI63fWHJQUFBaGiogJFRUXS8u3bt0On0yEwMFCq2bFjB+rq6qSa3Nxc9OnTB05OTlJNfn6+3nZyc3MRFBQEAPD19YVardar0Wq1KCwslGqI7rTItEJZQtDdDlY4mRzGEEREdAcYHIR0Oh3S0tIQEREBS8vfdyj5+fmhV69emDVrFvbu3YtTp05h5cqVyM3NRXh4OACgb9++GDt2LJ5//nns3bsXu3fvxuzZszFlyhTpENu0adNgZWWFqKgoHD16FJ988glWr16N2NhYaVtz585FTk4OVq5ciRMnTmDx4sXYv38/Zs+eDQBQKBSIiYnB0qVLpUv5n376aXh5eUljIbqTBiVmY3vpb0b3ecjPFbviH5VhRERE1BSDD43l5eXh3LlziIyM1Hu/S5cuyM7ORlxcHMaPH48rV66gV69e+OijjzBu3Dip7uOPP8bs2bPxyCOPQKlUYuLEiVizZo203MHBAdu2bUN0dDSGDh0KV1dXJCYm6t1raMSIEdi0aRMWLlyI119/Hb1790ZGRgYGDBgg1bz22muoqqrCzJkzUVFRgZEjRyInJwcqlcrQKRO1mFzPCgOAtVP88Zj/XbL0IiKiphl1H6HOjvcRIkOk7T6FpK0nZOl16s1xfHI8EVErGfL7m9ffEsnAJy5Ltl5nloc1X0RERLLg0+eJjHDjBolysLdWMAQREbUx7hEiaqWxq77FiQtVsvQ6sPBRONtZNV9IRESyYhAiagUeCiMi6hx4aIzIANdqG2QLQZ7dLBmCiIjaGfcIEbXQU+8XYNd/y2XpdShxDBy6dpGlFxERtR6DEFEL8FAYEVHnxENjRLfRoBOyhSA7C4YgIqKOhnuEiG7h0/0/4eX/HJalF68KIyLqmBiEiJrgv+grVNToZOnFvUBERB0XD40R3aS2XgefuCxZQtDonk4MQUREHRz3CBH9f0u3HsU/d5+RpdfxJWNhY2UhSy8iIrpzGISIAIT+/Vsc18hzl2juBSIiMh0MQmT2/BZ+hep64w+FLRrfF8/+6R4ZRkRERG2FQYjMVuXVOgxesk2WXqfeHAcLpUKWXkRE1HYYhMgsjVyeh58raozu46BS4tDiUBlGRERE7YFBiMxKbb0OfglfQSeM7/VsUHcs+vNA4xsREVG7YRAis7Es6xg+2Hlall4/LA2FlSXvPkFEZOoYhMgsPP9/+5B77KLRfe5ysMLu+EdlGBEREXUEDELU6X1x8BejQ5BSARxM4BPjiYg6GwYh6tQyi89j7ifFRvWws1aiJIknRBMRdUYMQtRpJWcfwz92GHdO0EP3OiMtMkimERERUUfDIESdUvbh80aFIFsLYP8iPiaDiKizYxCiTqdBJ7Dwi5JWr//QvW5Iixwm44iIiKijYhCiTmfv6XKUV9W1at1H+7njg6fvl3lERETUUTEIUadz8XK1wesM72GPtKgRPBRGRGRmGISo03HvpjKoftDd9tj811F3aDRERNSR8da41OkM83WGp0PLwlBwX3d8OZshiIjIXDEIUadjoVRg0fh+uN2z4Pt5dsPxJWPxzwieD0REZM4YhKhTGjvAE+ueCmi0Z8jZtgvemzYE2XNH83wgIiLiOULUeY0d4IlH+6mx93Q5Ll6uhns3FYb5OsNCebt9RUREZE4YhKhTs1AqENTTpb2HQUREHRQPjREREZHZYhAiIiIis8UgRERERGbLoCDk4+MDhULR6BUdHY0zZ840uUyhUCA9PV3q0dTyzZs3623n22+/RUBAAKytrdGrVy9s2LCh0Vjeffdd+Pj4QKVSITAwEHv37tVbXl1djejoaLi4uMDOzg4TJ07EhQsXDJkuERERdXIGBaF9+/ahrKxMeuXm5gIAnnzySXh7e+stKysrQ1JSEuzs7BAaGqrXJy0tTa8uPDxcWnb69GmEhYXhoYceQnFxMWJiYvDcc8/h66+/lmo++eQTxMbGYtGiRThw4AAGDx6MkJAQXLx4UaqZN28etm7divT0dHz33Xc4f/48nnjiidZ8RkRERNRJKYQQorUrx8TEIDMzEydPnoRC0fiS5CFDhiAgIADr16//fYMKBT7//HO98HOz+fPnIysrCyUlvz89fMqUKaioqEBOTg4AIDAwEPfffz/Wrl0LANDpdPD29sacOXMQFxeHyspKuLm5YdOmTfjLX/4CADhx4gT69u2LgoICDB8+vEXz02q1cHBwQGVlJezt7Vu0DhEREbUvQ35/t/ocodraWmzcuBGRkZFNhqCioiIUFxcjKiqq0bLo6Gi4urpi2LBh+PDDD3FzFisoKEBwcLBefUhICAoKCqTtFhUV6dUolUoEBwdLNUVFRairq9Or8fPzQ/fu3aWaptTU1ECr1eq9iIiIqPNq9X2EMjIyUFFRgWeeeabJ5evXr0ffvn0xYsQIvfeXLFmChx9+GF27dsW2bdvw4osv4sqVK3jppZcAABqNBh4eHnrreHh4QKvV4tq1a7h06RIaGhqarDlx4oTUw8rKCo6Ojo1qNBrNLeeUnJyMpKSklkyfiIiIOoFWB6H169cjNDQUXl5ejZZdu3YNmzZtQkJCQqNlN783ZMgQVFVVYcWKFVIQak/x8fGIjY2VftZqtfD29m7HEREREdGd1KpDY2fPnkVeXh6ee+65Jpf/5z//wdWrV/H000832yswMBA///wzampqAABqtbrR1V0XLlyAvb09bGxs4OrqCgsLiyZr1Gq11KO2thYVFRW3rGmKtbU17O3t9V5ERETUebUqCKWlpcHd3R1hYWFNLl+/fj0mTJgANze3ZnsVFxfDyckJ1tbWAICgoCDk5+fr1eTm5iIoKAgAYGVlhaFDh+rV6HQ65OfnSzVDhw5Fly5d9GpKS0tx7tw5qYaIiIjI4ENjOp0OaWlpiIiIgKVl49V//PFH7NixA9nZ2Y2Wbd26FRcuXMDw4cOhUqmQm5uLN998E6+88opU88ILL2Dt2rV47bXXEBkZie3bt2PLli3IysqSamJjYxEREYH77rsPw4YNw9///ndUVVXh2WefBQA4ODggKioKsbGxcHZ2hr29PebMmYOgoKAWXzFGREREZkAY6OuvvxYARGlpaZPL4+Pjhbe3t2hoaGi07KuvvhL+/v7Czs5O2NraisGDB4vU1NRGtd98843w9/cXVlZW4p577hFpaWmNer3zzjuie/fuwsrKSgwbNkx8//33esuvXbsmXnzxReHk5CS6du0qHn/8cVFWVmbQXCsrKwUAUVlZadB6RERE1H4M+f1t1H2EOjveR4iIiMj0tMl9hIiIiIhMHYMQERERmS0GISIiIjJbDEJERERkthiEiIiIyGwxCBEREZHZYhAiIiIis8UgRERERGar1U+fJ/PSoBPYe7ocFy9Xw72bCsN8nWGhVLT3sIiIiIzCIES31aATWLv9JNJ2n0HFtTrpfU8HFRaN74exAzzbcXRERETG4aExuqWckjIMXZqLVXkn9UIQAGgqq/HXjQeQU1LWTqMjIiIyHoMQNSmnpAx/3XgAFVfrmlx+4wF1SVuPoUHHx9UREZFpYhAiPQ06gd0//oa4T4+guXgjAJRVVmPv6fK2GBoREZHseI4QSbIPn8fCL0pQXtX0XqBbuXi5+g6NiIiI6M5iECIAwLKsY/hg5+lWreveTSXzaIiIiNoGgxDhjS9LsH7P2Vat6+lw/VJ6IiIiU8QgZOae+2gv8o7/2ur1F43vx/sJERGRyeLJ0mZsWdaxVocgx65dkPpUAO8jREREJo17hMxQg05gz8nf8M9WnBPk2LULnh3hi9kP9+KeICIiMnkMQmakQSfwTv5J/HPXf3GlpsGgdW2tLfD+U/dheE8XBiAiIuo0GITMRE5JGWK3HMLVWsMC0A0rJg7Cn3q7yjwqIiKi9sUg1Mk16ARW55VizfZTre7x/ChfjBvkJeOoiIiIOgYGoU4sff9PeO0/h5u9Q/TtRI3ogQVh/WQbExERUUfCINQJ1dbrMHBxDmrqjXsGWHBfNyRMGCDTqIiIiDoeBqFOJjn7GP6xo3V3iL5BqQCiRvpyTxAREXV6DEKdRINOYO7mg8g8XNbqHtaWCrwyxg8RI3xgZclbTBERUefHINQJZB8+j/jPDqGyWmdUn1WThmDcIN4gkYiIzAeDkImT41AYAMwa7csQREREZodByIRlFp83OgR17aLA35705+XxRERklhiETFT24TLM3nzQqB6PDfTE6qlDeKdoIiIyWwxCJiinpAwvbjpgVI9Zo30RP45XhRERkXljEDIRtfU6bNh9GtuOanDo58pW9+naRYniRSG8KoyIiAgMQiZBrhOipwbejeTHB8swIiIios6BQaiDW5Z1DB/sND4EPdrPnSGIiIjoDxiEOrDPD/xsdAhSdVHibxMH4TH/u2QaFRERUefBINQBNegEJqXuQdG5ilb36GplgVmje2L2w714VRgREdEtGHTGrI+PDxQKRaNXdHQ0zpw50+QyhUKB9PR0qce5c+cQFhaGrl27wt3dHa+++irq6+v1tvPtt98iICAA1tbW6NWrFzZs2NBoLO+++y58fHygUqkQGBiIvXv36i2vrq5GdHQ0XFxcYGdnh4kTJ+LChQuGTLdd5JSUwW9htlEhKOaR3jiyOARzg3szBBEREd2GQUFo3759KCsrk165ubkAgCeffBLe3t56y8rKypCUlAQ7OzuEhoYCABoaGhAWFoba2lrs2bMHH330ETZs2IDExERpG6dPn0ZYWBgeeughFBcXIyYmBs899xy+/vprqeaTTz5BbGwsFi1ahAMHDmDw4MEICQnBxYsXpZp58+Zh69atSE9Px3fffYfz58/jiSeeMOrDutNySsrwwsYDqGvlkzI8HVRIfSoAMY/eywBERETUAgohhGjtyjExMcjMzMTJkyehUDT+xTtkyBAEBARg/fr1AICvvvoKjz32GM6fPw8PDw8AQGpqKubPn49ff/0VVlZWmD9/PrKyslBSUiL1mTJlCioqKpCTkwMACAwMxP3334+1a9cCAHQ6Hby9vTFnzhzExcWhsrISbm5u2LRpE/7yl78AAE6cOIG+ffuioKAAw4cPb9H8tFotHBwcUFlZCXt7+9Z+TM1q0Al8/9//4fn/24+rtQ2t6vGvyGEY0cuVAYiIiMyeIb+/W30zmdraWmzcuBGRkZFNhqCioiIUFxcjKipKeq+goAADBw6UQhAAhISEQKvV4ujRo1JNcHCwXq+QkBAUFBRI2y0qKtKrUSqVCA4OlmqKiopQV1enV+Pn54fu3btLNU2pqamBVqvVe91pOSVlGPnWdkz/Z2GrQ9Czf+qBUfe6MQQREREZqNVBKCMjAxUVFXjmmWeaXL5+/Xr07dsXI0aMkN7TaDR6IQiA9LNGo7ltjVarxbVr1/Dbb7+hoaGhyZqbe1hZWcHR0fGWNU1JTk6Gg4OD9PL29r71ByCDnJIy/HXjAZRVVre6Rw8XGywaP0DGUREREZmPVgeh9evXIzQ0FF5ejR/Wee3aNWzatElvb5ApiI+PR2VlpfT66aef7sh2GnQCu0/+hrhPj6DVxyUBPOLnju9efVi2cREREZmbVl0+f/bsWeTl5eGzzz5rcvl//vMfXL16FU8//bTe+2q1utHVXTeu5FKr1dJ//3h114ULF2Bvbw8bGxtYWFjAwsKiyZqbe9TW1qKiokJvr9DNNU2xtraGtbX1bWZuvJySMiRtPWbUXqC7HFXIi30QNlYWMo6MiIjI/LRqj1BaWhrc3d0RFhbW5PL169djwoQJcHNz03s/KCgIR44c0bu6Kzc3F/b29ujXr59Uk5+fr7debm4ugoKCAABWVlYYOnSoXo1Op0N+fr5UM3ToUHTp0kWvprS0FOfOnZNq2oMch8Ie8XPF7rhHGIKIiIhkYPAeIZ1Oh7S0NERERMDSsvHqP/74I3bs2IHs7OxGy8aMGYN+/fphxowZSElJgUajwcKFCxEdHS3tiXnhhRewdu1avPbaa4iMjMT27duxZcsWZGVlSX1iY2MRERGB++67D8OGDcPf//53VFVV4dlnnwUAODg4ICoqCrGxsXB2doa9vT3mzJmDoKCgFl8xJrcGnUDS1mNGHQp77k++WDieT4wnIiKSi8FBKC8vD+fOnUNkZGSTyz/88EPcfffdGDNmTKNlFhYWyMzMxF//+lcEBQXB1tYWERERWLJkiVTj6+uLrKwszJs3D6tXr8bdd9+Nf/7znwgJCZFqJk+ejF9//RWJiYnQaDTw9/dHTk6O3gnUq1atglKpxMSJE1FTU4OQkBC89957hk5XNntPl7d6T5CzrRWW/nkAxg3ylHlURERE5s2o+wh1dnLeR+iL4l8wd3OxQetE/ckHwf3UGObrzEvjiYiIWsiQ39981lgbce+manGtp4MKi8b3w9gB3ANERER0JzEItZFhvs7wdFBBU1l9y/OEHG264N3pARh+jwv3ABEREbWBVt9HiAxjoVRg0f8/0fmPEUfx/1/LJw7En/iYDCIiojbDINSGxg7wxLqnAqB20D9MpnZQYd1TATwURkRE1MZ4aKyNjR3giUf7qbH3dDkuXq6GezcVT4YmIiJqJwxC7cBCqUBQT5f2HgYREZHZ46ExIiIiMlsMQkRERGS2GISIiIjIbDEIERERkdliECIiIiKzxSBEREREZotBiIiIiMwWgxARERGZLQYhIiIiMlu8s/RtCHH9OfFarbadR0JEREQtdeP39o3f47fDIHQbly9fBgB4e3u380iIiIjIUJcvX4aDg8NtaxSiJXHJTOl0Opw/fx7dunWDQtH2D0XVarXw9vbGTz/9BHt7+zbffnsx13kD5jt3c503YL5zN9d5A+Y797actxACly9fhpeXF5TK258FxD1Ct6FUKnH33Xe39zBgb29vVv9nucFc5w2Y79zNdd6A+c7dXOcNmO/c22reze0JuoEnSxMREZHZYhAiIiIis8Ug1IFZW1tj0aJFsLa2bu+htClznTdgvnM313kD5jt3c503YL5z76jz5snSREREZLa4R4iIiIjMFoMQERERmS0GISIiIjJbDEJERERkthiEjODj4wOFQtHoFR0djTNnzjS5TKFQID09Xepx7tw5hIWFoWvXrnB3d8err76K+vp6ve18++23CAgIgLW1NXr16oUNGzY0Gsu7774LHx8fqFQqBAYGYu/evXrLq6urER0dDRcXF9jZ2WHixIm4cOFCu827qeWbN2/u0PNubu4AoNFoMGPGDKjVatja2iIgIACffvqpXo/y8nJMnz4d9vb2cHR0RFRUFK5cuaJXc/jwYYwaNQoqlQre3t5ISUlpNJb09HT4+flBpVJh4MCByM7O1lsuhEBiYiI8PT1hY2OD4OBgnDx5st3m3VSP5cuXd+h5t2Tup06dwuOPPw43NzfY29tj0qRJjf6MdcbvvCXzNsXvvKGhAQkJCfD19YWNjQ169uyJN954Q++ZVS3Znil+53LN3eS+d0GtdvHiRVFWVia9cnNzBQDxzTffiPr6er1lZWVlIikpSdjZ2YnLly8LIYSor68XAwYMEMHBweLgwYMiOztbuLq6ivj4eGkb//3vf0XXrl1FbGysOHbsmHjnnXeEhYWFyMnJkWo2b94srKysxIcffiiOHj0qnn/+eeHo6CguXLgg1bzwwgvC29tb5Ofni/3794vhw4eLESNGtMu8hRACgEhLS9Oru3btWoeed3NzF0KIRx99VNx///2isLBQnDp1SrzxxhtCqVSKAwcOSD3Gjh0rBg8eLL7//nuxc+dO0atXLzF16lRpeWVlpfDw8BDTp08XJSUl4t///rewsbER//jHP6Sa3bt3CwsLC5GSkiKOHTsmFi5cKLp06SKOHDki1Sxfvlw4ODiIjIwMcejQITFhwgTh6+ur9zm35bx79OghlixZotfnypUrHXrezc39ypUr4p577hGPP/64OHz4sDh8+LD485//LO6//37R0NAg9ehs33lL522K3/myZcuEi4uLyMzMFKdPnxbp6enCzs5OrF692qDtmeJ3LtfcTe17ZxCS0dy5c0XPnj2FTqdrcrm/v7+IjIyUfs7OzhZKpVJoNBrpvXXr1gl7e3tRU1MjhBDitddeE/3799frM3nyZBESEiL9PGzYMBEdHS393NDQILy8vERycrIQQoiKigrRpUsXkZ6eLtUcP35cABAFBQVGzPg6Q+ctxPUg9Pnnn9+ypynMW4jGc7e1tRX/93//p1fj7OwsPvjgAyGEEMeOHRMAxL59+6TlX331lVAoFOKXX34RQgjx3nvvCScnJ+nPgBBCzJ8/X/Tp00f6edKkSSIsLExvO4GBgWLWrFlCCCF0Op1Qq9VixYoV0vKKigphbW0t/v3vf7f5vIW4/pfjqlWrbtnTFOYthP7cv/76a6FUKkVlZaXe9hQKhcjNzRVCdM7vvCXzFsI0v/OwsLBGf1898cQTYvr06S3enql+53LMXQjT+955aEwmtbW12LhxIyIjI5t8QGtRURGKi4sRFRUlvVdQUICBAwfCw8NDei8kJARarRZHjx6VaoKDg/V6hYSEoKCgQNpuUVGRXo1SqURwcLBUU1RUhLq6Or0aPz8/dO/eXappy3nfEB0dDVdXVwwbNgwffvih3u7Xjj7vG2P449xHjBiBTz75BOXl5dDpdNi8eTOqq6vx4IMPSvNydHTEfffdJ/UJDg6GUqlEYWGhVDN69GhYWVnpzb20tBSXLl1q0edz+vRpaDQavRoHBwcEBgbeke+8uXnfsHz5cri4uGDIkCFYsWKF3mHgjj7vpuZeU1MDhUKhd4M4lUoFpVKJXbt2SWPubN95S+Z9g6l95yNGjEB+fj5++OEHAMChQ4ewa9cuhIaGtnh7pvqdyzH3G0zpe+dDV2WSkZGBiooKPPPMM00uX79+Pfr27YsRI0ZI72k0Gr0QBED6WaPR3LZGq9Xi2rVruHTpEhoaGpqsOXHihNTDysoKjo6OjWpubKe1WjNvAFiyZAkefvhhdO3aFdu2bcOLL76IK1eu4KWXXpLG3JHnDTQ99y1btmDy5MlwcXGBpaUlunbtis8//xy9evWSxuTu7q7Xx9LSEs7Oznrfua+vb6Mx31jm5OR0y8/n5h43r9dUTVvOGwBeeuklBAQEwNnZGXv27EF8fDzKysrw9ttvm8S8m5r78OHDYWtri/nz5+PNN9+EEAJxcXFoaGhAWVmZNKbO9p23ZN6AaX7ncXFx0Gq18PPzg4WFBRoaGrBs2TJMnz69xdsz1e9cjrkDpve9MwjJZP369QgNDYWXl1ejZdeuXcOmTZuQkJDQDiO7s1o775vfGzJkCKqqqrBixQopCJmCpuaekJCAiooK5OXlwdXVFRkZGZg0aRJ27tyJgQMHtuNo5dPaecfGxkr1gwYNgpWVFWbNmoXk5OQOd8v9W/nj3N3c3JCeno6//vWvWLNmDZRKJaZOnYqAgAAolZ1nh3tr522K3/mWLVvw8ccfY9OmTejfvz+Ki4sRExMDLy8vREREtPfw7ii55m5q3zuDkAzOnj2LvLw8fPbZZ00u/89//oOrV6/i6aef1ntfrVY3usrpxlUXarVa+u8fr8S4cOEC7O3tYWNjAwsLC1hYWDRZc3OP2tpaVFRU6O0dubmmNVo776YEBgbijTfeQE1NDaytrTv0vIGm537q1CmsXbsWJSUl6N+/PwBg8ODB2LlzJ959912kpqZCrVbj4sWLer3q6+tRXl7e7Hd+Y9ntam5efuM9T09PvRp/f/82n3dTAgMDUV9fjzNnzqBPnz4det7Arf+8jxkzBqdOncJvv/0GS0tLODo6Qq1W45577pHG1Nm+85bMuymm8J2/+uqriIuLw5QpUwAAAwcOxNmzZ5GcnIyIiIgWbc9Uv3M55t6Ujv69d55/srSjtLQ0uLu7IywsrMnl69evx4QJE+Dm5qb3flBQEI4cOaL3f5jc3FzY29ujX79+Uk1+fr7eerm5uQgKCgIAWFlZYejQoXo1Op0O+fn5Us3QoUPRpUsXvZrS0lKcO3dOqmnLeTeluLgYTk5O0r8WOvK8gabnfvXqVQBotCfAwsICOp1OmldFRQWKioqk5du3b4dOp0NgYKBUs2PHDtTV1enNvU+fPnBycpJqbvf5+Pr6Qq1W69VotVoUFhbK/p23ZN5NKS4uhlKplA4hdOR5A83/eXd1dYWjoyO2b9+OixcvYsKECdKYO9t33pJ5N8UUvvOrV6/e9s9yS7Znqt+5HHNvSof/3g06tZoaaWhoEN27dxfz589vcvnJkyeFQqEQX331VaNlNy6fHzNmjCguLhY5OTnCzc2tycvnX331VXH8+HHx7rvvNnkZubW1tdiwYYM4duyYmDlzpnB0dNS7Gu2FF14Q3bt3F9u3bxf79+8XQUFBIigoqF3m/eWXX4oPPvhAHDlyRJw8eVK89957omvXriIxMbHDz/t2c6+trRW9evUSo0aNEoWFheLHH38Uf/vb34RCoRBZWVlS3dixY8WQIUNEYWGh2LVrl+jdu7feZbUVFRXCw8NDzJgxQ5SUlIjNmzeLrl27Nrq01NLSUvztb38Tx48fF4sWLWry0lJHR0fxxRdfSJc3G3MZuTHz3rNnj1i1apUoLi4Wp06dEhs3bhRubm7i6aef7vDzvt3chRDiww8/FAUFBeLHH38U//rXv4Szs7OIjY3Vq+ls33lL5m2q33lERIS46667pEvIP/vsM+Hq6ipee+01g7Znit+5HHM3xe+dQchIX3/9tQAgSktLm1weHx8vvL299e6tcbMzZ86I0NBQYWNjI1xdXcXLL78s6urq9Gq++eYb4e/vL6ysrMQ999wj0tLSGvV55513RPfu3YWVlZUYNmyY+P777/WWX7t2Tbz44ovCyclJdO3aVTz++OOirKysdZMWxs37q6++Ev7+/sLOzk7Y2tqKwYMHi9TU1Ea1HXHeQtx+7j/88IN44oknhLu7u+jatasYNGhQo8vK//e//4mpU6cKOzs7YW9vL5599lm9eywJIcShQ4fEyJEjhbW1tbjrrrvE8uXLG21ry5Yt4t577xVWVlaif//+emFLiOuXlyYkJAgPDw9hbW0tHnnkkVt+X3d63kVFRSIwMFA4ODgIlUol+vbtK958801RXV3d4efd3Nznz58vPDw8RJcuXUTv3r3FypUrG91KojN+583N21S/c61WK+bOnSu6d+8uVCqVuOeee8SCBQv0LvVuyfZM8TuXY+6m+L0rhLjpmmUiIiIiM8JzhIiIiMhsMQgRERGR2WIQIiIiIrPFIERERERmi0GIiIiIzBaDEBEREZktBiEiIiIyWwxCREREZLYYhIiIiMhsMQgRERGR2WIQIiIiIrPFIERERERm6/8BuQOuURf/n5wAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "altHDvPop = [0. for t in range(nHDs)]\n",
    "#nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        altHDvPop[t] += altUnitPop[u]\n",
    "        pass\n",
    "        #if allUnits[u] in surroundedVTDs:\n",
    "        #    nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * tractPop[v] \n",
    "plt.scatter([altHDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "id": "2cd2ff91-c86c-4717-ad3c-d24669c681c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11784285.883150315 11799459.74246655 11799448 11799448.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(unitPop),np.sum(altUnitPop),np.sum(tractPop),statePop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "id": "27fa262f-8981-4744-b50a-4401c94f74a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "correcting unit pops, redo under and overpop\n"
     ]
    }
   ],
   "source": [
    "print(\"correcting unit pops, redo under and overpop\")\n",
    "oldUnitPop = unitPop.copy()\n",
    "unitPop = altUnitPop.copy()\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "id": "0ea4ef84-5cb6-4202-8df7-3d2f788b06f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 594 HDs with pop < 782696 to within 1520\n",
      "working on squaring up HD 183 time is now 0\n",
      "working on squaring up HD 618 time is now 4\n",
      "working on squaring up HD 849 time is now 9\n",
      "working on squaring up HD 957 time is now 16\n",
      "working on squaring up HD 1044 time is now 27\n",
      "working on squaring up HD 1860 time is now 30\n",
      "working on squaring up HD 2965 time is now 33\n",
      "working on squaring up HD 3034 time is now 34\n",
      "working on squaring up HD 3109 time is now 36\n",
      "working on squaring up HD 3178 time is now 38\n",
      "working on squaring up HD 3621 time is now 40\n",
      "working on squaring up HD 3749 time is now 46\n",
      "working on squaring up HD 5498 time is now 53\n",
      "working on squaring up HD 5865 time is now 59\n",
      "working on squaring up HD 8456 time is now 63\n",
      "We have addressed underpop in a total of 594 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED - here, we've not yet adopted avoidedEnclave but we now disallow picking up VRA coreUs\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.995 * aDP, 1.005 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) ) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%40 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits) \n",
    "            #       not sure if avoidedEnclave(HDunitList[t], unitNbrs, [unitNoToAdd]) is robust\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist+coreUs and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "id": "0b8d63ce-89e6-43fa-ad47-c87ffa8b724c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 1254 overPopped HDs to within 1520\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 269 time is now 2\n",
      "working on squaring down HD 365 time is now 5\n",
      "working on squaring down HD 500 time is now 8\n",
      "working on squaring down HD 644 time is now 11\n",
      "working on squaring down HD 728 time is now 13\n",
      "working on squaring down HD 2178 time is now 17\n",
      "working on squaring down HD 2346 time is now 19\n",
      "working on squaring down HD 2410 time is now 21\n",
      "working on squaring down HD 2753 time is now 23\n",
      "working on squaring down HD 3048 time is now 25\n",
      "working on squaring down HD 4667 time is now 27\n",
      "working on squaring down HD 5386 time is now 30\n",
      "working on squaring down HD 5740 time is now 34\n",
      "working on squaring down HD 5937 time is now 37\n",
      "working on squaring down HD 6808 time is now 39\n",
      "working on squaring down HD 7146 time is now 44\n",
      "working on squaring down HD 7429 time is now 48\n",
      "working on squaring down HD 7652 time is now 52\n",
      "working on squaring down HD 8069 time is now 55\n",
      "working on squaring down HD 8395 time is now 59\n",
      "We have addressed overpop in a total of 1254 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #the barred set is dynamic; we stop shedding upon underuse. \n",
    "#   but not yet using avoidedIsland timesaver,  \n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                #contig = avoidedIsland(tryList, unitNbrs, [unitNoToShed] )  #new for MO - faster contig check\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                #if contig:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "id": "50a19271-2f58-4b24-8c8f-fda58202c2ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00129 1.00058 and their SDs are 0.15581 0.03956\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 8941\n",
      "working on HD 300 out of 8941\n",
      "working on HD 600 out of 8941\n",
      "working on HD 900 out of 8941\n",
      "working on HD 1200 out of 8941\n",
      "working on HD 1500 out of 8941\n",
      "working on HD 1800 out of 8941\n",
      "working on HD 2100 out of 8941\n",
      "working on HD 2400 out of 8941\n",
      "working on HD 2700 out of 8941\n",
      "working on HD 3000 out of 8941\n",
      "working on HD 3300 out of 8941\n",
      "working on HD 3600 out of 8941\n",
      "working on HD 3900 out of 8941\n",
      "working on HD 4200 out of 8941\n",
      "working on HD 4500 out of 8941\n",
      "working on HD 4800 out of 8941\n",
      "working on HD 5100 out of 8941\n",
      "working on HD 5400 out of 8941\n",
      "working on HD 5700 out of 8941\n",
      "working on HD 6000 out of 8941\n",
      "working on HD 6300 out of 8941\n",
      "working on HD 6600 out of 8941\n",
      "working on HD 6900 out of 8941\n",
      "working on HD 7200 out of 8941\n",
      "working on HD 7500 out of 8941\n",
      "working on HD 7800 out of 8941\n",
      "working on HD 8100 out of 8941\n",
      "working on HD 8400 out of 8941\n",
      "working on HD 8700 out of 8941\n",
      "all done checking HD and complement contiguity for all 8941 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "finalFailList = list()\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        finalFailList.append(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "id": "c504d29d-d967-4d95-99f6-a9a989da4ef6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRAPatchedFINAL.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "id": "ab192804-837c-4acc-a26a-cb79d90f87c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prepping to write the corrected final vtd lists to a file ...\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"prepping to write the corrected final vtd lists to a file ...\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "\n",
    "#below is commented out, as we had to correct in above blocks...\n",
    "#unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "#unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "#for u in range(nUnits):\n",
    "#    if u %2000 == 0:\n",
    "#        print(\"working on full or partial VTD master list for unit\",u)\n",
    "#   .... this was done above, but there was corruption in surround list, so we modified unit pots and vtd lists,\n",
    "#  ......... so skip here\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "id": "250f188c-478c-453a-af92-8cd96a7d486d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = unit-based, y = vtd-based HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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e9fOOHj0KHx8f6X1ERAR27dqlVZOXl4eIiAgAQEBAABQKhVaNWq1GYWGhVKOLvb09XF1dtV5ERES385+/A0nbTxilr/SpYQxB7UzvU2MajQZpaWmYNm0abGz+2D0oKAiBgYGYNWsW3n33XXh4eCArKwt5eXlad3cBwO7du3H27Fmdd5J98sknsLOzQ//+/QEA27Ztw4YNG7B+/Xqp5sUXX8QjjzyCVatWISYmBhkZGfj+++/x0UcfAQBkMhkSExPx5ptvonv37ggICEBycjJ8fX0RGxur75SJiIgA8FSYOdI7COXn5+PChQuIi4vT2m5ra4ucnBzMnz8fjz76KK5evYrAwEB88sknGD16tFZtamoqIiMjERQUpPMz3njjDZw/fx42NjYICgrC5s2b8cQTT0jtkZGR2LRpExYuXIhXX30V3bt3R1ZWFvr06SPVvPLKK6iursbMmTNRVVWFwYMHIzc3Fw4OXJqciIj0k3+4HDO2HDZafwxBpqNF6wiZO64jRERExjwKlBE3CIMe8DBaf6SbPn+/+awxIiKiJvBUmPkzeEFFIiIic7Vh92mGIAvBI0JERES3MWYAynruLwj2dzNaf2R8DEJEREQA6jUC97+aY7T+eBSoY2AQIiIiizf384P4/PtfjdYfQ1DHwSBEREQWjafCLBuDEBERWSSeCiOAQYiIiCzQ7E/2IvuU2mj9MQR1XAxCRERkUYx5KuzwwuFwd7EzWn/U9hiEiIjIIlytuYk+S3YarT8eBTIPDEJERGT2Bizdgd+uG6cvOwA/MgSZDQYhIiIya8Y8FfbDohGQO9karT9qfwxCRERkln5V12Lg2/lG64+nwswTgxAREZkdYx4FeuWv3fD8iD5G649MC4MQERGZFT4slfTBp88TEZFZuF5XzxBEeuMRISIi6vBGLt+B01XG6Wt5TBAmPXS/cTojk8cgREREHRqPAlFL8NQYERF1SMcvqBiCqMV4RIiIiDocYwagj57ojxEDfI3WH3UsDEJERNSh8CgQGRNPjRERUYdw4bdrDEFkdDwiREREJs+YAWj9hBBEhfgYrT/q2BiEiIjIpPEoELUmnhojIiKTxFNh1BZ4RIiIiEyOMQNQ+tQwDO7VxWj9kXlhECIiIpPCo0DUlnhqjIiITMLZS9UMQdTmeESIiIjanTED0M4XHkYP305G64/MG4MQERG1Kx4FovbEU2NERNRujBWCrMEQRIbhESEiImoXxgpBh16NQhdXe6P0RZaHQYiIiNqUsqoGg5bvMkpfPApELaXXqTF/f3/IZLJGr4SEBACAUqnElClToFAo4OzsjJCQEGzduvWufSxfvlyr5tixY3jooYfg4OAAPz8/rFixotFYMjMzERQUBAcHB/Tt2xc5OTla7UIILFq0CD4+PnB0dERUVBRKS0v1mS4RERlZ91d3MASRSdErCB06dAjl5eXSKy8vDwAwfvx4AMDUqVNRUlKC7du34/jx4xg7diwmTJiAI0eOaPXz+uuva/UzZ84cqU2tVmPEiBHo1q0bioqKsHLlSixZsgQfffSRVLN//35MnjwZ8fHxOHLkCGJjYxEbG4vi4mKpZsWKFfjggw+QkpKCwsJCODs7Izo6GjU1Nfr/lIiIqEWu19XDf/4O3NC0vK/8xEcYgshoZEIIYejOiYmJyM7ORmlpKWQyGVxcXLBu3TpMmTJFqvHw8MA777yDGTNmALh1RCgxMRGJiYk6+1y3bh1ee+01KJVK2NnZAQDmz5+PrKwsnD59GgAwceJEVFdXIzs7W9pv0KBBCA4ORkpKCoQQ8PX1xcsvv4y5c+cCAFQqFby9vbFx40ZMmjSpWfNTq9WQy+VQqVRwdXXV++dDRETAtA0F+M+PlUbpiwGImkOfv98G3zVWV1eH9PR0xMXFQSaTAQAiIyOxefNmVFZWQqPRICMjAzU1NRgyZIjWvsuXL4eHhwf69++PlStX4ubNm1JbQUEBHn74YSkEAUB0dDRKSkpw+fJlqSYqKkqrz+joaBQUFAAAzp49C6VSqVUjl8sRHh4u1ehSW1sLtVqt9SIiIsPU3dTgvvk7jBKCbMEQRK3D4Iuls7KyUFVVhenTp0vbtmzZgokTJ8LDwwM2NjZwcnLCF198gcDAQKnmhRdeQEhICNzd3bF//34sWLAA5eXl+Pvf/w7g1nVGAQEBWp/l7e0ttXXu3BlKpVLadnuNUqmU6m7fT1eNLsuWLcPSpUv1/EkQEdGfzd96BBmHLhqlL94VRq3J4CCUmpqKUaNGwdfXV9qWnJyMqqoq5Ofnw9PTE1lZWZgwYQL27t2Lvn37AgCSkpKk+gcffBB2dnaYNWsWli1bBnv79v0f+oIFC7TGp1ar4efn144jIiLqeO6bvwNGuBQIAI8CUeszKAidP38e+fn52LZtm7StrKwMa9asQXFxMXr37g0A6NevH/bu3Yu1a9ciJSVFZ1/h4eG4efMmzp07hx49ekChUKCiokKrpuG9QqGQ/q+umtvbG7b5+Pho1QQHBzc5L3t7+3YPY0REHZmx1gayBVDKEERtwKBrhNLS0uDl5YWYmD/+R3rt2rVbHVppd2ltbQ2Npul/Gxw9ehRWVlbw8vICAERERGDPnj24ceOGVJOXl4cePXqgc+fOUs2uXdq3X+bl5SEiIgIAEBAQAIVCoVWjVqtRWFgo1RARkfFcrblp1AUSGYKoreh9REij0SAtLQ3Tpk2Djc0fuwcFBSEwMBCzZs3Cu+++Cw8PD2RlZSEvL0+6u6ugoACFhYUYOnQoOnXqhIKCArz00kt4+umnpZDz5JNPYunSpYiPj8e8efNQXFyM999/H6tXr5Y+68UXX8QjjzyCVatWISYmBhkZGfj++++lW+xlMhkSExPx5ptvonv37ggICEBycjJ8fX0RGxvbkp8XERH9yYh38/Hjb7Ut7mfIA57YGBduhBERNZ/eQSg/Px8XLlxAXFyc1nZbW1vk5ORg/vz5ePTRR3H16lUEBgbik08+wejRowHcOvWUkZGBJUuWoLa2FgEBAXjppZe0rsuRy+X4+uuvkZCQgNDQUHh6emLRokWYOXOmVBMZGYlNmzZh4cKFePXVV9G9e3dkZWWhT58+Us0rr7yC6upqzJw5E1VVVRg8eDByc3Ph4OCg9w+JiIh0M9ZRoDWTgvE/wfcYpS8ifbRoHSFzx3WEiIh0u15Xj56Lco3SV9nbo2FtJTNKX0SAfn+/+awxIiLSyzMbD+Kb07+2uJ975fb4bkHU3QuJWhGDEBERNVu/RTlQ1bX8RMLqCcF4PISnwqj9MQgREdFd8VQYmSsGISIiuqNp6wvwnzMtf0zG4EAPpM8YZIQRERkPgxAREelUd1ODBxZ+ZZS+eFcYmSoGISIiauStHSfw8d5zLe7H390Ru+YO5akwMlkMQkREpCV+4yHsOn2p5f0M9kfy//Q2woiIWg+DEBERAQBU124g4u2vce1my/v68c1RsLMx6ClORG2KQYiIiPDQ8l34qarGKH3xifHUkTAIERFZuMBXd+Bm08/GbrZ73ezx3XwukEgdC4MQEZGFMubaQD8sGgG5k61R+iJqSwxCREQWyFgXRPt0skXBayOMMCKi9sEgRERkQeo1AoPezsevV+ta3Bcfk0HmgEGIiMhC5BaX47n0wy3ux9PZFoWvDefaQGQWGISIiCxA9tGLmJ1xpMX9/H3cgxg70M8IIyIyDQxCRERmrF4jkJD+PXJPtvx6oJSnQzCyj48RRkVkOhiEiIjM1Jc/XMScf7X8KJCdtQyn3hjFU2FklhiEiIjM0IxPDiL/1K8t7uedsX0wMaybEUZEZJoYhIiIzMz0DYX49sffWtSHDMCZt0fzKBCZPQYhIiIzcevW+Dz8evVGi/pxsbdG8dKRRhoVkWljECIiMgPGuh5oWkQ3LH2sjxFGRNQxMAgREXVw09cX4NszlS3qw83RBgdfG84nxpPFYRAiIuqg6m5q0GPhVxAt7GdYkBdSpw80ypiIOhoGISKiDuiN7BNI/e5ci/pwtrXC98kj4GhnbZxBEXVADEJERB1IvUZg6MpduHC5tkX9+HV2wN55w4w0KqKOi0GIiKiDMNZjMoY84ImNceFGGBFRx8cgRETUAcRvPIhdp1u+QOKwoC5InR5mhBERmQcGISIiEzf6vW9xUlnd4n6efcgfr8X0NsKIiMwHgxARkQkLff1r/H6tZQskejrbYP8C3hpPpAuDEBGRieqzOBdXa+tb1EdXd0fseeWvRhoRkfnhPw+IiEzQMxsOtDgEDQvyYggiugseESIiMjHX6+rxzY+/G7y/nTXww+KRXB+IqBn0OiLk7+8PmUzW6JWQkAAAUCqVmDJlChQKBZydnRESEoKtW7dK+587dw7x8fEICAiAo6Mj7r//fixevBh1dXVaNbo+48CBA1pjyczMRFBQEBwcHNC3b1/k5ORotQshsGjRIvj4+MDR0RFRUVEoLS3V+wdERNTW3s45afC+hxcOx49vxTAEETWTXkHo0KFDKC8vl155eXkAgPHjxwMApk6dipKSEmzfvh3Hjx/H2LFjMWHCBBw5cmvdi9OnT0Oj0eCf//wnTpw4gdWrVyMlJQWvvvpqo8/Kz8/X+qzQ0FCpbf/+/Zg8eTLi4+Nx5MgRxMbGIjY2FsXFxVLNihUr8MEHHyAlJQWFhYVwdnZGdHQ0ampq9P8pERG1oXO/X9N7Hw9nW5xbHgN3F7tWGBGR+ZIJIQx+TE1iYiKys7NRWloKmUwGFxcXrFu3DlOmTJFqPDw88M4772DGjBk6+1i5ciXWrVuH//73vwBuHREKCAjAkSNHEBwcrHOfiRMnorq6GtnZ2dK2QYMGITg4GCkpKRBCwNfXFy+//DLmzp0LAFCpVPD29sbGjRsxadKkZs1PrVZDLpdDpVLB1dW1WfsQEbVUctZxfHbgQrPr3x3bB0+EdWvFERF1LPr8/Tb4Yum6ujqkp6cjLi4OMpkMABAZGYnNmzejsrISGo0GGRkZqKmpwZAhQ5rsR6VSwd3dvdH2MWPGwMvLC4MHD8b27du12goKChAVFaW1LTo6GgUFBQCAs2fPQqlUatXI5XKEh4dLNbrU1tZCrVZrvYiI2tqro3s1uzbl6RCGIKIWMDgIZWVloaqqCtOnT5e2bdmyBTdu3ICHhwfs7e0xa9YsfPHFFwgMDNTZx5kzZ/Dhhx9i1qxZ0jYXFxesWrUKmZmZ2LFjBwYPHozY2FitMKRUKuHt7a3Vl7e3N5RKpdTesK2pGl2WLVsGuVwuvfz8/Jr3wyAiMiJHO2sM7+V15xpbK5S9PRoj+/i00aiIzJPBd42lpqZi1KhR8PX1lbYlJyejqqoK+fn58PT0RFZWFiZMmIC9e/eib9++Wvv/8ssvGDlyJMaPH49nn31W2u7p6YmkpCTp/cCBA3Hx4kWsXLkSY8aMMXS4zbJgwQKtz1ar1QxDRNQuPp46EM9+egh5Jy81ahv6gAfS4ga1w6iIzI9BQej8+fPIz8/Htm3bpG1lZWVYs2YNiouL0bv3rSXc+/Xrh71792Lt2rVISUmRai9evIihQ4ciMjISH3300V0/Lzw8XLowGwAUCgUqKiq0aioqKqBQKKT2hm0+Pj5aNU1ddwQA9vb2sLe3v+t4iIjawsdTB+J6XT3ezjmJc79fg7+HE14d3Yt3hBEZkUGnxtLS0uDl5YWYmBhp27Vrt+5ysLLS7tLa2hoajUZ6/8svv2DIkCEIDQ1FWlpao3pdjh49qhVoIiIisGvXLq2avLw8REREAAACAgKgUCi0atRqNQoLC6UaIqKOwNHOGm/E9sVn8eF4I7YvQxCRkel9REij0SAtLQ3Tpk2Djc0fuwcFBSEwMBCzZs3Cu+++Cw8PD2RlZSEvL0+6u6shBHXr1g3vvvsufv31jycpNxzF+eSTT2BnZ4f+/fsDALZt24YNGzZg/fr1Uu2LL76IRx55BKtWrUJMTAwyMjLw/fffS0eXZDIZEhMT8eabb6J79+4ICAhAcnIyfH19ERsbq/9PiYiIiMyT0NPOnTsFAFFSUtKo7ccffxRjx44VXl5ewsnJSTz44IPi008/ldrT0tIEAJ2vBhs3bhQ9e/YUTk5OwtXVVYSFhYnMzMxGn7VlyxbxwAMPCDs7O9G7d2+xY8cOrXaNRiOSk5OFt7e3sLe3F8OGDdM55jtRqVQCgFCpVHrtR0RERO1Hn7/fLVpHyNxxHSEiIqKOp03WESIiIiLq6BiEiIiIyGIxCBEREZHFYhAiIiIii8UgRERERBaLQYiIiIgsFoMQERERWSwGISIiIrJYDEJERERksRiEiIiIyGIxCBEREZHFYhAiIiIii8UgRERERBaLQYiIiIgsFoMQERERWSwGISIiIrJYDEJERERksRiEiIiIyGIxCBEREZHFsmnvARARtYV6jcDBs5W4dKUGXp0cEBbgDmsrWXsPi4jaGYMQEZm93OJyLP3yJMpVNdI2H7kDFj/aCyP7+LTjyIiovfHUGBGZrXqNwPv5P+K59MNaIQgAlKoa/C39MHKLy9tpdERkCnhEiIjMUm5xOZZsPwmlukZnuwAgA7D0y5MY3kvB02REFopHhIjI7OQWl+Nv6YebDEENBIByVQ0Onq1sm4ERkclhECIis1J3U4NXvzgOocc+l67cOTARkfliECIis5FbXI5By3ahsvqGXvt5dXJopRERkanjNUJEZBYaTofpcyRIBkAhv3UrPRFZJgYhIuqwGtYGUqqu440dp/QKQQ0WP9qLF0oTWTAGISLqkHStDaQPhas9lozpzXWEiCwcgxARdTiGnAa73UtRD2D2XwN5JIiIGISIqGOp1wgs/fKkQSHI3dkWbz/el0eBiEjCIEREHULD9UD7zvxm0OkwD2c7FCwYBjsb3ixLRH/Q678I/v7+kMlkjV4JCQkAAKVSiSlTpkChUMDZ2RkhISHYunWrVh+VlZV46qmn4OrqCjc3N8THx+Pq1ataNceOHcNDDz0EBwcH+Pn5YcWKFY3GkpmZiaCgIDg4OKBv377IycnRahdCYNGiRfDx8YGjoyOioqJQWlqqz3SJyETkFpdj8Du7MfnjA1jzzRm99pX9/9dbj/dhCCKiRvT6r8KhQ4dQXl4uvfLy8gAA48ePBwBMnToVJSUl2L59O44fP46xY8diwoQJOHLkiNTHU089hRMnTiAvLw/Z2dnYs2cPZs6cKbWr1WqMGDEC3bp1Q1FREVauXIklS5bgo48+kmr279+PyZMnIz4+HkeOHEFsbCxiY2NRXFws1axYsQIffPABUlJSUFhYCGdnZ0RHR6OmhgunEXUkDdcDGXxRtNwB654O4ekwItJJJoQw9HpDJCYmIjs7G6WlpZDJZHBxccG6deswZcoUqcbDwwPvvPMOZsyYgVOnTqFXr144dOgQBgwYAADIzc3F6NGj8fPPP8PX1xfr1q3Da6+9BqVSCTs7OwDA/PnzkZWVhdOnTwMAJk6ciOrqamRnZ0ufM2jQIAQHByMlJQVCCPj6+uLll1/G3LlzAQAqlQre3t7YuHEjJk2a1Kz5qdVqyOVyqFQquLq6GvpjIiID1WsEBr+zW+8Q5O5si+T/6Q2F6601gnhRNJFl0efvt8HHievq6pCeno64uDjIZLf+IxMZGYnNmzejsrISGo0GGRkZqKmpwZAhQwAABQUFcHNzk0IQAERFRcHKygqFhYVSzcMPPyyFIACIjo5GSUkJLl++LNVERUVpjSc6OhoFBQUAgLNnz0KpVGrVyOVyhIeHSzVEZPoOnq3UKwQ1nAZ7+/G+eLz/PYi434MhiIjuyOCLpbOyslBVVYXp06dL27Zs2YKJEyfCw8MDNjY2cHJywhdffIHAwEAAt64h8vLy0h6AjQ3c3d2hVCqlmoCAAK0ab29vqa1z585QKpXStttrbu/j9v101ehSW1uL2tpa6b1arb7rz4GIWo++zwBTyB2w+NFePA1GRM1mcBBKTU3FqFGj4OvrK21LTk5GVVUV8vPz4enpiaysLEyYMAF79+5F3759jTLg1rRs2TIsXbq0vYdBZJEa7gq7dKUGXp1undJq7jPAZg+9H38J7MLTYESkN4OC0Pnz55Gfn49t27ZJ28rKyrBmzRoUFxejd+/eAIB+/fph7969WLt2LVJSUqBQKHDp0iWtvm7evInKykooFAoAgEKhQEVFhVZNw/u71dze3rDNx8dHqyY4OLjJeS1YsABJSUnSe7VaDT8/v7v/QIioRXStEu0jd0ByTC/4yB2gVNXoXDeo4VlhLw3vwQBERAYx6BqhtLQ0eHl5ISYmRtp27dq1Wx1aaXdpbW0NjUYDAIiIiEBVVRWKioqk9t27d0Oj0SA8PFyq2bNnD27c+OPp0Xl5eejRowc6d+4s1ezatUvrc/Ly8hAREQEACAgIgEKh0KpRq9UoLCyUanSxt7eHq6ur1ouIWldTd4UpVTVI2HQYY/rd+sfMn2NOw3s+K4yIWkLvIKTRaJCWloZp06bBxuaPA0pBQUEIDAzErFmzcPDgQZSVlWHVqlXIy8tDbGwsAKBnz54YOXIknn32WRw8eBD79u3D7NmzMWnSJOkU25NPPgk7OzvEx8fjxIkT2Lx5M95//32tIzUvvvgicnNzsWrVKpw+fRpLlizB999/j9mzZwMAZDIZEhMT8eabb0q38k+dOhW+vr7SWIiofdVrBPad+Q3ztx7XebSnYdv2H8qx9sn+UMi1T5PxtngiMga9T43l5+fjwoULiIuL09pua2uLnJwczJ8/H48++iiuXr2KwMBAfPLJJxg9erRU93//93+YPXs2hg0bBisrK4wbNw4ffPCB1C6Xy/H1118jISEBoaGh8PT0xKJFi7TWGoqMjMSmTZuwcOFCvPrqq+jevTuysrLQp08fqeaVV15BdXU1Zs6ciaqqKgwePBi5ublwcGjeNQdE1HpyjpVj4b+LUVldd8c6AaBcVYPOzvb4bt5fG11DxCNBRNRSLVpHyNxxHSEi46rXCLyYcQTZx8r12u/9ScF4LPieVhoVEZkbff5+81ljRNQmcovLMW/rMaiu39R73+bePUZEpC8GISJqdTnHLuL5TUfuXvgnDXeFhQW4G39QRERowcrSRETNkXOsHLP/ZVgIAnhXGBG1Lh4RIqJWk1tcjuc3HTZoX64STURtgUGIiFpFvUZg6Zcn9d7Pxd4G/3w6FIP4nDAiagMMQkRkNHU3Nfis4BzOV16DEELvp8YDwIpxD+Iv3T1bYXRERI0xCBGRUSzLOYmP956FpgULcsx6OACjH+SpMCJqOwxCRNQidTc1mLbhAAr+e9ngPlzsrbFi3IMY/aDv3YuJiIyIQYiIDPbWjhNYv/eczkdkNIcMwAvDAvHCsAd4PRARtQsGISLSW71GYMI/96PofFWL+ln7ZAhPhRFRu2IQIiK95BaXY97nx6Cq0X+F6AY+vDWeiEwEgxARNVtucTmeSzdsXaApg7pigL87H5hKRCaFQYiImsXQdYEAwEoGJP9Pb9jZcDF7IjItDEJEdEd1NzX4ZP857DxRbtC6QADw7EMBDEFEZJIYhIioSctyTuKjvWchWrg20ILRvYw3KCIiI2IQIiKdluWcxD/3nDV4/0H+nfHpjEE8EkREJo1BiIi01N3UIPW7/7YoBA3v5YWPpw404qiIiFoHgxARSZblnMRHe84avECio601VjzxIB7txxWiiahjYBAiItRrBF7412HsOK40aH83R1s88xd/zP5rd94WT0QdCoMQkYXLLS7H/K3HUXX9hkH7J8f0xPS/BDAAEVGHxCBEZKHqNQJrdp/B6vwfDe7Du5MdQxARdWgMQkQWKLe4HEu2n4BSXduifpY+1ochiIg6NAYhIguTW1yOv6UfNviCaABwsrPG3yf047PCiKjDYxAisiANj8kwNAQ52Frhn0+GYnCPLjwSRERmgUGIyIIcPFtp8GMyAOC9icF4pKeXEUdERNS+uOQrkQW5dMWwEORsb42Up0N4KoyIzA6PCBGZsbqbGnxWcA7nK6+hm7sTHvDupHcfLwwNxIvDH+CpMCIySwxCRGZqWc5JfLz3LDS3XRBkJbt1ofP1uvq7Xifk5mSL5WP78igQEZk1BiEiM9TUA1M1ArhWVw8AkAE6w9CoPt54Otwfg+734FEgIjJ7DEJEZqbupgYf773zA1NlMsDLxR4VV/5YR8hH7oDFj/biESAisigMQkRmol4jcPBsJbYcuqB1OkwXIYAZD92HPvfIcelKDbw6OSAswJ1HgIjI4jAIEZmB3OJyLP3ypF63xv90+Rqeffi+VhwVEZHpYxAi6sBuPS+sFKvzS/Xet5u7UyuMiIioY9FrHSF/f3/IZLJGr4SEBJw7d05nm0wmQ2ZmJgBg48aNTdZcunQJAPDtt9/qbFcqlVpjWbt2Lfz9/eHg4IDw8HAcPHhQq72mpgYJCQnw8PCAi4sLxo0bh4qKipb8rIhMSm5xOf6yfLdBIchKBkyJ8Df+oIiIOhi9gtChQ4dQXl4uvfLy8gAA48ePh5+fn1ZbeXk5li5dChcXF4waNQoAMHHixEY10dHReOSRR+Dlpb1abUlJiVbd7e2bN29GUlISFi9ejMOHD6Nfv36Ijo6WwhQAvPTSS/jyyy+RmZmJ//znP7h48SLGjh1r8A+KyJQ0PC9MqTZsgcRnHwqAnQ3XUyUikgkhDH72YmJiIrKzs1FaWgqZrPFFlv3790dISAhSU1N17v/rr7/innvuQWpqKqZMmQLg1hGhoUOH4vLly3Bzc9O5X3h4OAYOHIg1a9YAADQaDfz8/DBnzhzMnz8fKpUKXbp0waZNm/DEE08AAE6fPo2ePXuioKAAgwYNatb81Go15HI5VCoVXF1dm7UPUWur1wgMfme3QY/KsJLdCkELRvdqhZEREZkGff5+G/xPwrq6OqSnpyMuLk5nCCoqKsLRo0cRHx/fZB+ffvopnJycpLByu+DgYPj4+GD48OHYt2+f1ucWFRUhKirqj0lYWSEqKgoFBQXSZ9+4cUOrJigoCF27dpVqdKmtrYVardZ6EZkaQ54XNqKXN5JjeuL0G6MYgoiIbmNwEMrKykJVVRWmT5+usz01NRU9e/ZEZGRkk32kpqbiySefhKOjo7TNx8cHKSkp2Lp1K7Zu3Qo/Pz8MGTIEhw8fBgD89ttvqK+vh7e3t1Zf3t7e0nVESqUSdnZ2jY4o3V6jy7JlyyCXy6WXn5/fnX4ERO1Cn+eFyXBrfaB1T4ci/qH7eDqMiOhPDL5rLDU1FaNGjYKvr2+jtuvXr2PTpk1ITk5ucv+CggKcOnUKn332mdb2Hj16oEePHtL7yMhIlJWVYfXq1Y1qjW3BggVISkqS3qvVaoYhMjlenRz0ql/8aC+uD0RE1ASDgtD58+eRn5+Pbdu26Wz//PPPce3aNUydOrXJPtavX4/g4GCEhobe9fPCwsLw3XffAQA8PT1hbW3d6A6wiooKKBQKAIBCoUBdXR2qqqq0jgrdXqOLvb097O3t7zoeovYUFuAOH7kDlKqaOz4vTOFqjyVjenOlaCKiOzDoOHlaWhq8vLwQExOjsz01NRVjxoxBly5ddLZfvXoVW7ZsueP1Q7c7evQofHxu/cfczs4OoaGh2LVrl9Su0Wiwa9cuREREAABCQ0Nha2urVVNSUoILFy5INUQdlbWVDIsfvXWdT1PHeV6KegD75g9jCCIiugu9jwhpNBqkpaVh2rRpsLFpvPuZM2ewZ88e5OTkNNnH5s2bcfPmTTz99NON2t577z0EBASgd+/eqKmpwfr167F79258/fXXUk1SUhKmTZuGAQMGICwsDO+99x6qq6vxzDPPAADkcjni4+ORlJQEd3d3uLq6Ys6cOYiIiGj2HWNEpmxkHx+sezqk0WrSfF4YEZF+9A5C+fn5uHDhAuLi4nS2b9iwAffeey9GjBjRZB+pqakYO3asztvj6+rq8PLLL+OXX36Bk5MTHnzwQeTn52Po0KFSzcSJE/Hrr79i0aJFUCqVCA4ORm5urtYF1KtXr4aVlRXGjRuH2tpaREdH4x//+Ie+0yUyWSP7+GB4LwUOnq3k88KIiAzUonWEzB3XESIiIup42mQdISIiIqKOjkGIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIoulVxDy9/eHTCZr9EpISMC5c+d0tslkMmRmZkp96GrPyMjQ+pxvv/0WISEhsLe3R2BgIDZu3NhoLGvXroW/vz8cHBwQHh6OgwcParXX1NQgISEBHh4ecHFxwbhx41BRUaHPdImIiMjM6RWEDh06hPLycumVl5cHABg/fjz8/Py02srLy7F06VK4uLhg1KhRWv2kpaVp1cXGxkptZ8+eRUxMDIYOHYqjR48iMTERM2bMwM6dO6WazZs3IykpCYsXL8bhw4fRr18/REdH49KlS1LNSy+9hC+//BKZmZn4z3/+g4sXL2Ls2LGG/IyIiIjITMmEEMLQnRMTE5GdnY3S0lLIZLJG7f3790dISAhSU1P/+ECZDF988YVW+LndvHnzsGPHDhQXF0vbJk2ahKqqKuTm5gIAwsPDMXDgQKxZswYAoNFo4Ofnhzlz5mD+/PlQqVTo0qULNm3ahCeeeAIAcPr0afTs2RMFBQUYNGhQs+anVqshl8uhUqng6urarH2IiIiofenz99vga4Tq6uqQnp6OuLg4nSGoqKgIR48eRXx8fKO2hIQEeHp6IiwsDBs2bMDtWaygoABRUVFa9dHR0SgoKJA+t6ioSKvGysoKUVFRUk1RURFu3LihVRMUFISuXbtKNbrU1tZCrVZrvYiIiMh82Ri6Y1ZWFqqqqjB9+nSd7ampqejZsyciIyO1tr/++uv461//CicnJ3z99dd4/vnncfXqVbzwwgsAAKVSCW9vb619vL29oVarcf36dVy+fBn19fU6a06fPi31YWdnBzc3t0Y1SqWyyTktW7YMS5cubc70iYiIyAwYHIRSU1MxatQo+Pr6Nmq7fv06Nm3ahOTk5EZtt2/r378/qqursXLlSikItacFCxYgKSlJeq9Wq+Hn59eOIyIiIqLWZNCpsfPnzyM/Px8zZszQ2f7555/j2rVrmDp16l37Cg8Px88//4za2loAgEKhaHR3V0VFBVxdXeHo6AhPT09YW1vrrFEoFFIfdXV1qKqqarJGF3t7e7i6umq9iIiIyHwZFITS0tLg5eWFmJgYne2pqakYM2YMunTpcte+jh49is6dO8Pe3h4AEBERgV27dmnV5OXlISIiAgBgZ2eH0NBQrRqNRoNdu3ZJNaGhobC1tdWqKSkpwYULF6QaIiIiIr1PjWk0GqSlpWHatGmwsWm8+5kzZ7Bnzx7k5OQ0avvyyy9RUVGBQYMGwcHBAXl5eXj77bcxd+5cqea5557DmjVr8MorryAuLg67d+/Gli1bsGPHDqkmKSkJ06ZNw4ABAxAWFob33nsP1dXVeOaZZwAAcrkc8fHxSEpKgru7O1xdXTFnzhxEREQ0+44xIiIisgBCTzt37hQARElJic72BQsWCD8/P1FfX9+o7auvvhLBwcHCxcVFODs7i379+omUlJRGtd98840IDg4WdnZ24r777hNpaWmN+vrwww9F165dhZ2dnQgLCxMHDhzQar9+/bp4/vnnRefOnYWTk5N4/PHHRXl5uV5zValUAoBQqVR67UdERETtR5+/3y1aR8jccR0hIiKijqdN1hEiIiIi6ugYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLH0CkL+/v6QyWSNXgkJCTh37pzONplMhszMTADADz/8gMmTJ8PPzw+Ojo7o2bMn3n//fa3P+Pbbb3X2oVQqterWrl0Lf39/ODg4IDw8HAcPHtRqr6mpQUJCAjw8PODi4oJx48ahoqLCkJ8RERERmSkbfYoPHTqE+vp66X1xcTGGDx+O8ePHw8/PD+Xl5Vr1H330EVauXIlRo0YBAIqKiuDl5YX09HT4+flh//79mDlzJqytrTF79mytfUtKSuDq6iq99/Lykv7/zZs3IykpCSkpKQgPD8d7772H6OholJSUSHUvvfQSduzYgczMTMjlcsyePRtjx47Fvn379JkyERERmTGZEEIYunNiYiKys7NRWloKmUzWqL1///4ICQlBampqk30kJCTg1KlT2L17N4BbR4SGDh2Ky5cvw83NTec+4eHhGDhwINasWQMA0Gg08PPzw5w5czB//nyoVCp06dIFmzZtwhNPPAEAOH36NHr27ImCggIMGjSoWfNTq9WQy+VQqVRaoYyIiIhMlz5/vw2+Rqiurg7p6emIi4vTGYKKiopw9OhRxMfH37EflUoFd3f3RtuDg4Ph4+OD4cOHax3FqaurQ1FREaKiov6YhJUVoqKiUFBQIH32jRs3tGqCgoLQtWtXqUaX2tpaqNVqrRcRERGZL4ODUFZWFqqqqjB9+nSd7ampqejZsyciIyOb7GP//v3YvHkzZs6cKW3z8fFBSkoKtm7diq1bt8LPzw9DhgzB4cOHAQC//fYb6uvr4e3trdWXt7e3dB2RUqmEnZ1doyNKt9fosmzZMsjlcunl5+d3px8BERERdXB6XSN0u9TUVIwaNQq+vr6N2q5fv45NmzYhOTm5yf2Li4vx2GOPYfHixRgxYoS0vUePHujRo4f0PjIyEmVlZVi9ejU+++wzQ4fbLAsWLEBSUpL0Xq1WMwwRERGZMYOC0Pnz55Gfn49t27bpbP/8889x7do1TJ06VWf7yZMnMWzYMMycORMLFy686+eFhYXhu+++AwB4enrC2tq60R1gFRUVUCgUAACFQoG6ujpUVVVpHRW6vUYXe3t72Nvb33U8REREZB4MOjWWlpYGLy8vxMTE6GxPTU3FmDFj0KVLl0ZtJ06cwNChQzFt2jS89dZbzfq8o0ePwsfHBwBgZ2eH0NBQ7Nq1S2rXaDTYtWsXIiIiAAChoaGwtbXVqikpKcGFCxekGiIiIiK9jwhpNBqkpaVh2rRpsLFpvPuZM2ewZ88e5OTkNGorLi7GX//6V0RHRyMpKUm6Xsfa2loKTe+99x4CAgLQu3dv1NTUYP369di9eze+/vprqZ+kpCRMmzYNAwYMQFhYGN577z1UV1fjmWeeAQDI5XLEx8cjKSkJ7u7ucHV1xZw5cxAREdHsO8aIiIjI/OkdhPLz83HhwgXExcXpbN+wYQPuvfderet+Gnz++ef49ddfkZ6ejvT0dGl7t27dcO7cOQC37gp7+eWX8csvv8DJyQkPPvgg8vPzMXToUKl+4sSJ+PXXX7Fo0SIolUoEBwcjNzdX6wLq1atXw8rKCuPGjUNtbS2io6Pxj3/8Q9/pEhERkRlr0TpC5o7rCBEREXU8bbKOEBEREVFHZ/Dt89R26jUCB89W4tKVGnh1ckBYgDusrRovYklERET6YRAycbnF5Vj65UmUq2qkbT5yByx+tBdG9vFpx5ERERF1fDw1ZsJyi8vxt/TDWiEIAJSqGvwt/TByi8ub2JOIiIiag0HIRNVrBJZ+eRK6rmRv2Lb0y5Oo1/BadyIiIkMxCJmog2crGx0Jup0AUK6qwcGzlW03KCIiIjPDIGSiLl1pOgQZUkdERESNMQiZKK9ODkatIyIiosYYhExUWIA7fOQOaOomeRlu3T0WFuDelsMiIiIyKwxCJsraSobFj/YCgEZhqOH94kd7cT0hIiKiFmAQagf1GoGCst/x76O/oKDs9ybv/BrZxwfrng6BQq59+kshd8C6p0O4jhAREVELcUHFNqbvAokj+/hgeC8FV5YmIiJqBXzo6h0Y+6GrDQsk/vkH3hBpeJSHiIio5fjQVRPEBRKJiIhMD4NQG+ECiURERKaHQaiNcIFEIiIi08Mg1Ea4QCIREZHpYRBqI1wgkYiIyPQwCLURLpBIRERkehiE2hAXSCQiIjItXFCxjXGBRCIiItPBINQOrK1kiLjfo72HQUREZPF4aoyIiIgsFoMQERERWSwGISIiIrJYDEJERERksRiEiIiIyGIxCBEREZHFYhAiIiIii8UgRERERBaLQYiIiIgsFleWvgMhBABArVa380iIiIiouRr+bjf8Hb8TBqE7uHLlCgDAz8+vnUdCRERE+rpy5Qrkcvkda2SiOXHJQmk0Gly8eBGdOnWCTGYeD0VVq9Xw8/PDTz/9BFdX1/YeTquylLlynuaF8zQ/ljJXU5qnEAJXrlyBr68vrKzufBUQjwjdgZWVFe699972HkarcHV1bff/obYVS5kr52leOE/zYylzNZV53u1IUANeLE1EREQWi0GIiIiILBaDkIWxt7fH4sWLYW9v395DaXWWMlfO07xwnubHUubaUefJi6WJiIjIYvGIEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQiZGH9/f8hkskavhIQEnDt3TmebTCZDZmYmAOCHH37A5MmT4efnB0dHR/Ts2RPvv/++1md8++23OvtQKpVadWvXroW/vz8cHBwQHh6OgwcParXX1NQgISEBHh4ecHFxwbhx41BRUdFmcwWgsz0jI6PRfENCQmBvb4/AwEBs3Lix0Vhac64tnefGjRubrLl06ZI0x/b+Tu80TwBQKpWYMmUKFAoFnJ2dERISgq1bt2r1UVlZiaeeegqurq5wc3NDfHw8rl69qlVz7NgxPPTQQ3BwcICfnx9WrFjRaCyZmZkICgqCg4MD+vbti5ycHK12IQQWLVoEHx8fODo6IioqCqWlpW0yz3PnziE+Ph4BAQFwdHTE/fffj8WLF6Ourk6rRtdnHDhwoMPMs6k+li9frlXT0b/Ppn73ZDIZDh06BMA0vs/mzLWsrAyPP/44unTpAldXV0yYMKHR739H+B3VmyCTcunSJVFeXi698vLyBADxzTffiJs3b2q1lZeXi6VLlwoXFxdx5coVIYQQqamp4oUXXhDffvutKCsrE5999plwdHQUH374ofQZ33zzjQAgSkpKtPqqr6+XajIyMoSdnZ3YsGGDOHHihHj22WeFm5ubqKiokGqee+454efnJ3bt2iW+//57MWjQIBEZGdlmcxVCCAAiLS1Nq+769etS+3//+1/h5OQkkpKSxMmTJ8WHH34orK2tRW5ubpvNtaXzvHbtWqOa6Oho8cgjj5jUd3qneQohxPDhw8XAgQNFYWGhKCsrE2+88YawsrIShw8flvoYOXKk6Nevnzhw4IDYu3evCAwMFJMnT5baVSqV8Pb2Fk899ZQoLi4W//rXv4Sjo6P45z//KdXs27dPWFtbixUrVoiTJ0+KhQsXCltbW3H8+HGpZvny5UIul4usrCzxww8/iDFjxoiAgACt/+201jy/+uorMX36dLFz505RVlYm/v3vfwsvLy/x8ssvS59x9uxZAUDk5+drfVZdXV2HmacQQnTr1k28/vrrWv1cvXrVrL7P2traRr+fM2bMEAEBAUKj0ZjM93m3uV69elXcd9994vHHHxfHjh0Tx44dE4899pgYOHCg1n9HOsLvqL4YhEzciy++KO6//37pF+rPgoODRVxc3B37eP7558XQoUOl9w1/NC9fvtzkPmFhYSIhIUF6X19fL3x9fcWyZcuEEEJUVVUJW1tbkZmZKdWcOnVKABAFBQXNmVojhswVgPjiiy+a7POVV14RvXv31to2ceJEER0dLb1v67m29Du9dOmSsLW1FZ9++qm0zRS/0z/P09nZWWvMQgjh7u4uPv74YyGEECdPnhQAxKFDh6T2r776SshkMvHLL78IIYT4xz/+ITp37ixqa2ulmnnz5okePXpI7ydMmCBiYmK0Pic8PFzMmjVLCCGERqMRCoVCrFy5UmqvqqoS9vb24l//+lerz1OXFStWiICAAOl9wx/OI0eONLlPR5hnt27dxOrVq5vs0xy/z7q6OtGlSxfx+uuvS9tM8fsUQnuuO3fuFFZWVkKlUmn1L5PJRF5enhCi4/6O3g1PjZmwuro6pKenIy4uTudDX4uKinD06FHEx8ffsR+VSgV3d/dG24ODg+Hj44Phw4dj3759Wp9bVFSEqKgoaZuVlRWioqJQUFAgffaNGze0aoKCgtC1a1eppq3mmpCQAE9PT4SFhWHDhg0Qty2NVVBQoDVGAIiOjpbG2NZzNcZ3+umnn8LJyQlPPPFEozZT+U51zTMyMhKbN29GZWUlNBoNMjIyUFNTgyFDhgC49V25ublhwIABUj9RUVGwsrJCYWGhVPPwww/Dzs5OqomOjkZJSQkuX74s1dzpOz979iyUSqVWjVwuR3h4eJvMU5emfkfHjBkDLy8vDB48GNu3b9dq6yjzXL58OTw8PNC/f3+sXLkSN2/e1JqDuX2f27dvx++//45nnnmmUZupfJ+65lpbWwuZTKa1GKKDgwOsrKzw3XffSWPsaL+jzcEgZMKysrJQVVWF6dOn62xPTU1Fz549ERkZ2WQf+/fvx+bNmzFz5kxpm4+PD1JSUrB161Zs3boVfn5+GDJkCA4fPgwA+O2331BfXw9vb2+tvry9vaVrTpRKJezs7ODm5tZkTVvM9fXXX8eWLVuQl5eHcePG4fnnn8eHH34otSuVSp3zUKvVuH79epvP1RjfaWpqKp588kk4OjpK20ztO9U1zy1btuDGjRvw8PCAvb09Zs2ahS+++AKBgYHS53t5eWn1Y2NjA3d3d60x6ppDQ9udam5vv32/tp7nn505cwYffvghZs2aJW1zcXHBqlWrkJmZiR07dmDw4MGIjY3V+uPZEeb5wgsvICMjA9988w1mzZqFt99+G6+88spd53D7+DvCPG+XmpqK6OhorQd2m9r3qWuugwYNgrOzM+bNm4dr166huroac+fORX19PcrLy6UxdLTf0ebg0+dNWGpqKkaNGgVfX99GbdevX8emTZuQnJzc5P7FxcV47LHHsHjxYowYMULa3qNHD/To0UN6HxkZibKyMqxevRqfffaZcSfRTIbO9fZt/fv3R3V1NVauXIkXXnihVcdrqJZ+pwUFBTh16lSj78nUvlNd80xOTkZVVRXy8/Ph6emJrKwsTJgwAXv37kXfvn3bfIzG0NJ5/vLLLxg5ciTGjx+PZ599Vtru6emJpKQk6f3AgQNx8eJFrFy5EmPGjGn9if2JofO8fQ4PPvgg7OzsMGvWLCxbtswkH8PQ0u/z559/xs6dO7Flyxat7ab2fQKN59qlSxdkZmbib3/7Gz744ANYWVlh8uTJCAkJgZWVeR8zYRAyUefPn0d+fj62bdums/3zzz/HtWvXMHXqVJ3tJ0+exLBhwzBz5kwsXLjwrp8XFhYmHf709PSEtbV1o7sFKioqoFAoAAAKhQJ1dXWoqqrSOoJwe01ztXSutwsPD8cbb7yB2tpa2NvbQ6FQ6JyHq6srHB0dYW1t3WZzNcY8169fj+DgYISGht7189rrO9U1z7KyMqxZswbFxcXo3bs3AKBfv37Yu3cv1q5di5SUFCgUCukuuAY3b95EZWWl1hh1zaGh7U41t7c3bPPx8dGqCQ4ObvV5Nrh48SKGDh2KyMhIfPTRR3f9vPDwcOTl5UnvO8o8/zyHmzdv4ty5c+jRo4dZfZ8AkJaWBg8Pj2aFm/b6PpuaKwCMGDECZWVl+O2332BjYwM3NzcoFArcd9990hg60u9oc5l3zOvA0tLS4OXlhZiYGJ3tqampGDNmDLp06dKo7cSJExg6dCimTZuGt956q1mfd/ToUel/cHZ2dggNDcWuXbukdo1Gg127diEiIgIAEBoaCltbW62akpISXLhwQapprpbMVdc8OnfuLP1rMyIiQmuMAJCXlyeNsS3n2tJ5Xr16FVu2bLnrNWEN2us71TXPa9euAUCjf1laW1tDo9EAuPVdVVVVoaioSGrfvXs3NBoNwsPDpZo9e/bgxo0bUk1eXh569OiBzp07SzV3+s4DAgKgUCi0atRqNQoLC9tknsCtI0FDhgxBaGgo0tLSmvUv7tu/z44yT11zsLKykk6vmMv3Cdy63TstLQ1Tp06Fra3tXT+vvb5P4O7/LfL09ISbmxt2796NS5cuScGuo/2ONpvRL7+mFquvrxddu3YV8+bN09leWloqZDKZ+Oqrrxq1HT9+XHTp0kU8/fTTWrdJXrp0SapZvXq1yMrKEqWlpeL48ePixRdfFFZWViI/P1+qycjIEPb29mLjxo3i5MmTYubMmcLNzU0olUqp5rnnnhNdu3YVu3fvFt9//72IiIgQERERbTbX7du3i48//lgcP35clJaWin/84x/CyclJLFq0SKppuH3+f//3f8WpU6fE2rVrdd4+39pzbck8G6xfv144ODjovDPMVL7TpuZZV1cnAgMDxUMPPSQKCwvFmTNnxLvvvitkMpnYsWOHVDdy5EjRv39/UVhYKL777jvRvXt3rVtzq6qqhLe3t5gyZYooLi4WGRkZwsnJqdGtuTY2NuLdd98Vp06dEosXL9Z5a66bm5v497//Ld0mrM+tuS2Z588//ywCAwPFsGHDxM8//6z1e9pg48aNYtOmTeLUqVPi1KlT4q233hJWVlZiw4YNHWae+/fvF6tXrxZHjx4VZWVlIj09XXTp0kVMnTpV6sccvs8G+fn5AoA4depUo/5N5fu801yFEGLDhg2ioKBAnDlzRnz22WfC3d1dJCUladV0lN9RfTAImaCdO3dKa8LosmDBAuHn56e1tkODxYsXCwCNXt26dZNq3nnnHXH//fcLBwcH4e7uLoYMGSJ2797dqK8PP/xQdO3aVdjZ2YmwsDBx4MABrfbr16+L559/XnTu3Fk4OTmJxx9/XOs/5q0916+++koEBwcLFxcX4ezsLPr16ydSUlIa1X7zzTciODhY2NnZifvuu0+kpaW1+VxbMs8GERER4sknn9TZZirf6Z3m+eOPP4qxY8cKLy8v4eTkJB588MFGtyX//vvvYvLkycLFxUW4urqKZ555RmvdKCGE+OGHH8TgwYOFvb29uOeee8Ty5csbfdaWLVvEAw88IOzs7ETv3r0b/dHSaDQiOTlZeHt7C3t7ezFs2LAmvxtjzzMtLU3n7+jt/y7duHGj6Nmzp3BychKurq4iLCxMa1mDjjDPoqIiER4eLuRyuXBwcBA9e/YUb7/9tqipqdHqp6N/nw0mT57c5JpbpvJ93m2u8+bNE97e3sLW1lZ0795drFq1qtEyHx3ld1QfMiFuu9eYiIiIyILwGiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxWIQIiIiIovFIEREREQWi0GIiIiILBaDEBEREVksBiEiIiKyWAxCREREZLEYhIiIiMhiMQgRERGRxfp/MxKLdmcnRkMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "altHDvPop = [0. for t in range(nHDs)]\n",
    "#nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        altHDvPop[t] += unitPop[u]\n",
    "        pass\n",
    "        #if allUnits[u] in surroundedVTDs:\n",
    "        #    nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * tractPop[v] \n",
    "plt.scatter([altHDvPop[t] for t in popHDlist],[HDvtdbasedPop[t] for t in popHDlist])\n",
    "print(\"x = unit-based, y = vtd-based HD pops\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2be4a7c-8859-41dc-b71f-1278a33c573e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "47695a1f-e951-4a84-a6aa-dc04d3c8e6d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 8941 sum HDweight and nHDs\n"
     ]
    }
   ],
   "source": [
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"VRApatchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)\n",
    "\n",
    "print(np.sum(HDweight), nHDs, \"sum HDweight and nHDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71ff24eb-a1b5-4454-87a2-be93aad101c2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for OH\n",
      "In year/election 2020 Dem and GOP total votes were 2678283 3154724 for a stateGOP of 0.54084\n",
      "There are a total of 8941  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 2392589 2840665 for a stateGOP of 0.54281\n",
      "There are a total of 8941  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for OH\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv OH8941VRApatchedVTDs.csv\n",
      "enter the number of Congr'l districts in the state; e.g. 8 15\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 8941 drawn districts.  This state has 15 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of Congr'l districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "working on drawn district no 6000\n",
      "working on drawn district no 7000\n",
      "working on drawn district no 8000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 2678283 3154724 476441\n",
      "ensemble : 2674921 3166735 491814\n",
      "the true and ensemble state GOP leans are 0.54084 0.5420954631027216\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 8941 8941 15\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
